Model brain based learning (BBL and whole brain teaching (WBT in learning

Directory of Open Access Journals (Sweden)

Baiq Sri Handayani

2017-08-01

Full Text Available The learning process is a process of change in behavior as a form of the result of learning. The learning model is a crucial component of the success of the learning process. The learning model is growing fastly, and each model has different characteristics. Teachers are required to be able to understand each model to teach the students optimally by matching the materials and the learning model. The best of the learning model is the model that based on the brain system in learning that are the model of Brain Based Learning (BBL and the model of Whole Brain Teaching (WBT. The purposes of this article are to obtain information related to (1 the brain’s natural learning system, (2 analyze the characteristics of the model BBL and WBT based on theory, brain sections that play a role associated with syntax, similarities, and differences, (3 explain the distinctive characteristics of both models in comparison to other models. The results of this study are: (1 the brain’s natural learning system are: (a the nerves in each hemisphere do not work independently, (b doing more activities can connect more brain nerves, (c the right hemisphere controls the left side motoric sensor of the body, and vice versa; (2 the characteristics of BBL and WBT are: (a BBL is based on the brain’s structure and function, while the model WBT is based on the instructional approach, neurolinguistic, and body language, (b the parts of the brain that work in BBL are: cerebellum, cerebral cortex, frontal lobe, limbic system, and prefrontal cortex; whereas the parts that work WBT are: prefrontal cortex, visual cortex, motor cortex, limbic system, and amygdala, (c the similarities between them are that they both rely on the brain’s system and they both promote gesture in learning, whereas the differences are on the view of the purposes of gestures and the learning theory that they rely on. BBL relies on cognitive theory while WBT relies on social theory; (3 the typical

Learning Styles of Law Enforcement Officers: Does Police Work Affect How Officers Learn?

Science.gov (United States)

Landry, John M.

2011-01-01

This quantitative study utilized the VARK learning style preference assessment instrument to examine how full-time sworn law enforcement officers learn and attempted to identify a predominant learning style preference among the participants. The primary question was: Which is the dominant learning style preference of full-time sworn law…

Why copy others? Insights from the social learning strategies tournament.

Science.gov (United States)

Rendell, L; Boyd, R; Cownden, D; Enquist, M; Eriksson, K; Feldman, M W; Fogarty, L; Ghirlanda, S; Lillicrap, T; Laland, K N

2010-04-09

Social learning (learning through observation or interaction with other individuals) is widespread in nature and is central to the remarkable success of humanity, yet it remains unclear why copying is profitable and how to copy most effectively. To address these questions, we organized a computer tournament in which entrants submitted strategies specifying how to use social learning and its asocial alternative (for example, trial-and-error learning) to acquire adaptive behavior in a complex environment. Most current theory predicts the emergence of mixed strategies that rely on some combination of the two types of learning. In the tournament, however, strategies that relied heavily on social learning were found to be remarkably successful, even when asocial information was no more costly than social information. Social learning proved advantageous because individuals frequently demonstrated the highest-payoff behavior in their repertoire, inadvertently filtering information for copiers. The winning strategy (discountmachine) relied nearly exclusively on social learning and weighted information according to the time since acquisition.

Computer-Mediated Intersensory Learning Model for Students with Learning Disabilities

Science.gov (United States)

Seok, Soonhwa; DaCosta, Boaventura; Kinsell, Carolyn; Poggio, John C.; Meyen, Edward L.

2010-01-01

This article proposes a computer-mediated intersensory learning model as an alternative to traditional instructional approaches for students with learning disabilities (LDs) in the inclusive classroom. Predominant practices of classroom inclusion today reflect the six principles of zero reject, nondiscriminatory evaluation, appropriate education,…

Long Term Neuropsychological Follow-Up in Patients With Herpes Simplex Encephalitis and Predominantly Left-Sided Lesions

Directory of Open Access Journals (Sweden)

B. Laurent

1991-01-01

Full Text Available Five patients with predominantly dominant cerebral hemisphere lesions due to herpes simplex encephalitis are described. Verbal amnesia was the main deficit but amnesic aphasia sometimes associated with impairment of remote memory also occurred. Semantic and episodic memory deficits were also explored in one case and the role of the right cerebral hemisphere in facilitating recovery of learning is discussed.

Learning Potential and Cognitive Modifiability

Science.gov (United States)

Kozulin, Alex

2011-01-01

The relationship between thinking and learning constitutes one of the fundamental problems of cognitive psychology. Though there is an obvious overlap between the domains of thinking and learning, it seems more productive to consider learning as being predominantly acquisition while considering thinking as the application of the existent concepts…

Adaptive representations for reinforcement learning

NARCIS (Netherlands)

Whiteson, S.

2010-01-01

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own

Challenges Encountered in Creating Personalised Learning Activities to Suit Students Learning Preferences

OpenAIRE

O'Donnell, Eileen; Wade, Vincent; Sharp, Mary; O'Donnell, Liam

2013-01-01

This book chapter reviews some of the challenges encountered by educators in creating personalised e-learning activities to suit students learning preferences. Technology-enhanced learning (TEL) alternatively known as e-learning has not yet reached its full potential in higher education. There are still many potential uses as yet undiscovered and other discovered uses which are not yet realisable by many educators. TEL is still predominantly used for e-dissemination and e-administration. This...

Understanding the Construction of Personal Learning Networks to Support Non-Formal Workplace Learning of Training Professionals

Science.gov (United States)

Manning, Christin

2013-01-01

Workers in the 21st century workplace are faced with rapid and constant developments that place a heavy demand on them to continually learn beyond what the Human Resources and Training groups can meet. As a consequence, professionals must rely on non-formal learning approaches through the development of a personal learning network to keep…

Computational Investigations of Multiword Chunks in Language Learning.

Science.gov (United States)

McCauley, Stewart M; Christiansen, Morten H

2017-07-01

Second-language learners rarely arrive at native proficiency in a number of linguistic domains, including morphological and syntactic processing. Previous approaches to understanding the different outcomes of first- versus second-language learning have focused on cognitive and neural factors. In contrast, we explore the possibility that children and adults may rely on different linguistic units throughout the course of language learning, with specific focus on the granularity of those units. Following recent psycholinguistic evidence for the role of multiword chunks in online language processing, we explore the hypothesis that children rely more heavily on multiword units in language learning than do adults learning a second language. To this end, we take an initial step toward using large-scale, corpus-based computational modeling as a tool for exploring the granularity of speakers' linguistic units. Employing a computational model of language learning, the Chunk-Based Learner, we compare the usefulness of chunk-based knowledge in accounting for the speech of second-language learners versus children and adults speaking their first language. Our findings suggest that while multiword units are likely to play a role in second-language learning, adults may learn less useful chunks, rely on them to a lesser extent, and arrive at them through different means than children learning a first language. Copyright © 2017 Cognitive Science Society, Inc.

Design of an Authentic E-Learning Environment

NARCIS (Netherlands)

Bastiaens, Theo

2018-01-01

The increasing necessity of a lifelong learning attitude has its influence on the ageing population in Western societies. Employees nowadays cannot rely on their skills once learned in school. Most, also older, employees have to keep up by learning new insights, new skills, and new knowledge. A lot

Neuromorphic Deep Learning Machines

OpenAIRE

Neftci, E; Augustine, C; Paul, S; Detorakis, G

2017-01-01

An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Back Propagation (BP) rule, often relies on the immediate availability of network-wide...

Colouring the Gaps in Learning Design: Aesthetics and the Visual in Learning

Science.gov (United States)

Carroll, Fiona; Kop, Rita

2016-01-01

The visual is a dominant mode of information retrieval and understanding however, the focus on the visual dimension of Technology Enhanced Learning (TEL) is still quite weak in relation to its predominant focus on usability. To accommodate the future needs of the visual learner, designers of e-learning environments should advance the current…

Rapid Fear Detection Relies on High Spatial Frequencies

NARCIS (Netherlands)

Stein, T.; Seymour, K.; Hebart, M.N.; Sterzer, P.

Signals of threat—such as fearful faces—are processed with priority and have privileged access to awareness. This fear advantage is commonly believed to engage a specialized subcortical pathway to the amygdala that bypasses visual cortex and processes predominantly low-spatial-frequency information

Maladies reliées aux loisirs aquatiques

Science.gov (United States)

Sanborn, Margaret; Takaro, Tim

2013-01-01

Résumé Objectif Passer en revue les facteurs de risque, la prise en charge et la prévention des maladies reliées aux loisirs aquatiques en pratique familiale. Sources des données Des articles originaux et de synthèse entre janvier 1998 et février 2012 ont été identifiés à l’aide de PubMed et des expressions de recherche en anglais water-related illness, recreational water illness et swimmer illness. Message principal Il y a un risque de 3 % à 8 % de maladies gastrointestinales (MGI) après la baignade. Les groupes à risque élevé de MGI sont les enfants de moins de 5 ans, surtout s’ils n’ont pas été vaccinés contre le rotavirus, les personnes âgées et les patients immunodéficients. Les enfants sont à plus grand risque parce qu’ils avalent plus d’eau quand ils nagent, restent dans l’eau plus longtemps et jouent dans l’eau peu profonde et le sable qui sont plus contaminés. Les adeptes des sports dans lesquels le contact avec l’eau est abondant comme le triathlon et le surf cerf-volant sont aussi à risque élevé et même ceux qui s’adonnent à des activités impliquant un contact partiel avec l’eau comme la navigation de plaisance et la pêche ont un risque de 40 % à 50 % fois plus grand de MGI par rapport à ceux qui ne pratiquent pas de sports aquatiques. Il y a lieu de faire une culture des selles quand on soupçonne une maladie reliée aux loisirs aquatiques et l’échelle clinique de la déshydratation est utile pour l’évaluation des besoins de traitement chez les enfants affectés. Conclusion Les maladies reliées aux loisirs aquatiques est la principale cause de MGI durant la saison des baignades. La reconnaissance que la baignade est une source importante de maladies peut aider à prévenir les cas récurrents et secondaires. On recommande fortement le vaccin contre le rotavirus chez les enfants qui se baignent souvent.

USMLE performances in a predominantly Asian and Pacific Islander population of medical students in a problem-based learning curriculum.

Science.gov (United States)

Kasuya, Richard T; Naguwa, Gwen S; Guerrero, Anthony P S; Hishinuma, Earl S; Lindberg, Marlene A; Judd, Nanette K

2003-05-01

To compare the USMLE performances of students of various ethnicities, predominantly Pacific Islander and Asian, at one medical school and to examine the predictive validity of MCAT scores for USMLE performance. A total of 258 students in the graduating classes of 1996-2000 at the University of Hawai'i School of Medicine were classified by ethnicity. Demographic and performance characteristics of the groups were examined, and MCAT scores with and without undergraduate science GPA were used to predict USMLE performance. Under- and over-prediction rates were computed for each ethnic group. Ethnic groups did not differ significantly by gender or undergraduate GPA. Chinese, Caucasian, and Other Asian students tended to have higher MCAT scores than Hawaiian/other Pacific Islander, and Filipino students. Ethnic groups did not differ significantly in prediction of USMLE Step 1 performance. For Step 2, MCAT scores significantly over-predicted performance of Filipino students and tended to under-predict performance of Caucasian students. Although MCAT scores and science GPA were good predictors of USMLE performance, ethnic differences were found in the degrees of their predictive validity. These findings both replicate and extend results of earlier studies, and again point to the importance of exploring additional predictor variables. The authors encourage future research on the effects of the following factors on success in medical school: reading and test-taking skills, socio-cultural and environmental influences on learning, communication styles, primary language use, family support, and family responsibilities.

Juxtaposed Color Halftoning Relying on Discrete Lines

OpenAIRE

Babaei, Vahid; Hersch, Roger

2013-01-01

Most halftoning techniques allow screen dots to overlap. They rely on the assumption that the inks are transparent, i.e. the inks do not scatter a significant portion of the light back to the air. However, many special effect inks such as metallic inks, iridescent inks or pigmented inks are not transparent. In order to create halftone images, halftone dots formed by such inks should be juxtaposed, i.e. printed side by side. We propose an efficient juxtaposed color halftoning technique for pla...

Increasing Uncertainty: The Dangers of Relying on Conventional Forces for Nuclear Deterrence

Science.gov (United States)

2016-03-14

72 | Air & Space Power Journal Increasing Uncertainty The Dangers of Relying on Conventional Forces for Nuclear Deterrence Jennifer Bradley To put...relationships and should serve as the cornerstone of US nuclear deterrence policy. Although Russia and China are not identified as adversaries of...exactly what has happened over the past year. The US decision to meet the needs of deterrence by relying less on nuclear weapons and instead devel- oping

Fast distributed strategic learning for global optima in queueing access games

KAUST Repository

Tembine, Hamidou

2014-01-01

In this paper we examine combined fully distributed payoff and strategy learning (CODIPAS) in a queue-aware access game over a graph. The classical strategic learning analysis relies on vanishing or small learning rate and uses stochastic

The Impact of Changing Technology: The Case of E-Learning

Science.gov (United States)

Yusuf, Nadia; Al-Banawi, Nisreen

2013-01-01

For centuries, education has relied on classroom methods, but technology-enhanced learning can potentially bring about a revolution in learning, making high-quality, cost-effective education available to a greater number of people. The basic advantages of e-learning include anytime-anywhere access to learning, cost reductions, ability to reach…

Multiple goals, motivation and academic learning.

Science.gov (United States)

Valle, Antonio; Cabanach, Ramón G; Núnez, José C; González-Pienda, Julio; Rodríguez, Susana; Piñeiro, Isabel

2003-03-01

The type of academic goals pursued by students is one of the most important variables in motivational research in educational contexts. Although motivational theory and research have emphasised the somewhat exclusive nature of two types of goal orientation (learning goals versus performance goals), some studies (Meece, 1994; Seifert, 1995, 1996) have shown that the two kinds of goals are relatively complementary and that it is possible for students to have multiple goals simultaneously, which guarantees some flexibility to adapt more efficaciously to various contexts and learning situations. The principal aim of this study is to determine the academic goals pursued by university students and to analyse the differences in several very significant variables related to motivation and academic learning. Participants were 609 university students (74% women and 26% men) who filled in several questionnaires about the variables under study. We used cluster analysis ('quick cluster analysis' method) to establish the different groups or clusters of individuals as a function of the three types of goals (learning goals, performance goals, and social reinforcement goals). By means of MANOVA, we determined whether the groups or clusters identified were significantly different in the variables that are relevant to motivation and academic learning. Lastly, we performed ANOVA on the variables that revealed significant effects in the previous analysis. Using cluster analysis, three groups of students with different motivational orientations were identified: a group with predominance of performance goals (Group PG: n = 230), a group with predominance of multiple goals (Group MG: n = 238), and a group with predominance of learning goals (Group LG: n = 141). Groups MG and LG attributed their success more to ability, they had higher perceived ability, they took task characteristics into account when planning which strategies to use in the learning process, they showed higher persistence

The Influence of Cognitive Learning Style and Learning Independence on the Students' Learning Outcomes

Science.gov (United States)

Prayekti

2018-01-01

Students of Open University are strongly required to be able to study independently. They rely heavily on the cognitive learning styles that they have in attempt to get maximum scores in every final exam. The participants of this research were students in the Physics Education program taking Thermodynamic subject course. The research analysis…

47 CFR 15.717 - TVBDs that rely on spectrum sensing.

Science.gov (United States)

2010-10-01

... Television Band Devices § 15.717 TVBDs that rely on spectrum sensing. (a) Parties may submit applications for... that are identical in electrical characteristics and antenna systems may be certified under the...

Morphine Reward Promotes Cue-Sensitive Learning: Implication of Dorsal Striatal CREB Activity

Directory of Open Access Journals (Sweden)

Mathieu Baudonnat

2017-05-01

Full Text Available Different parallel neural circuits interact and may even compete to process and store information: whereas stimulus–response (S–R learning critically depends on the dorsal striatum (DS, spatial memory relies on the hippocampus (HPC. Strikingly, despite its potential importance for our understanding of addictive behaviors, the impact of drug rewards on memory systems dynamics has not been extensively studied. Here, we assessed long-term effects of drug- vs food reinforcement on the subsequent use of S–R vs spatial learning strategies and their neural substrates. Mice were trained in a Y-maze cue-guided task, during which either food or morphine injections into the ventral tegmental area (VTA were used as rewards. Although drug- and food-reinforced mice learned the Y-maze task equally well, drug-reinforced mice exhibited a preferential use of an S–R learning strategy when tested in a water-maze competition task designed to dissociate cue-based and spatial learning. This cognitive bias was associated with a persistent increase in the phosphorylated form of cAMP response element-binding protein phosphorylation (pCREB within the DS, and a decrease of pCREB expression in the HPC. Pharmacological inhibition of striatal PKA pathway in drug-rewarded mice limited the morphine-induced increase in levels of pCREB in DS and restored a balanced use of spatial vs cue-based learning. Our findings suggest that drug (opiate reward biases the engagement of separate memory systems toward a predominant use of the cue-dependent system via an increase in learning-related striatal pCREB activity. Persistent functional imbalance between striatal and hippocampal activity could contribute to the persistence of addictive behaviors, or counteract the efficiency of pharmacological or psychotherapeutic treatments.

Learning classification models with soft-label information.

Science.gov (United States)

Nguyen, Quang; Valizadegan, Hamed; Hauskrecht, Milos

2014-01-01

Learning of classification models in medicine often relies on data labeled by a human expert. Since labeling of clinical data may be time-consuming, finding ways of alleviating the labeling costs is critical for our ability to automatically learn such models. In this paper we propose a new machine learning approach that is able to learn improved binary classification models more efficiently by refining the binary class information in the training phase with soft labels that reflect how strongly the human expert feels about the original class labels. Two types of methods that can learn improved binary classification models from soft labels are proposed. The first relies on probabilistic/numeric labels, the other on ordinal categorical labels. We study and demonstrate the benefits of these methods for learning an alerting model for heparin induced thrombocytopenia. The experiments are conducted on the data of 377 patient instances labeled by three different human experts. The methods are compared using the area under the receiver operating characteristic curve (AUC) score. Our AUC results show that the new approach is capable of learning classification models more efficiently compared to traditional learning methods. The improvement in AUC is most remarkable when the number of examples we learn from is small. A new classification learning framework that lets us learn from auxiliary soft-label information provided by a human expert is a promising new direction for learning classification models from expert labels, reducing the time and cost needed to label data.

Learning strategies used by cardiology residents: assessment of learning styles and their correlations.

Science.gov (United States)

de Lima, Alberto Alves; Bettati, María Ines; Baratta, Sergio; Falconi, Mariano; Sokn, Fernando; Galli, Amanda; Barrero, Carlos; Cagide, Arturo; Iglesias, Ricardo

2006-11-01

To identify the learning styles of a group of cardiology residents (R) undergoing a training program at the University of Buenos Aires and to identify correlations of these styles. Statistical data were obtained through a 120-question survey developed by Vermunt and colleagues, which identified four different learning styles: construction-directed; reproduction-directed; application-directed; and undirected. Four variables were identified [gender, previous experience as a teaching assistant (TA) in medical school, university final average (FA) and the public or private institution/centre of origin] in order to analyse level of correlation with learning styles (LS). Between April 2001 and April 2002, 149 residents (R) completed the survey. Average age was 29 (+/-2.7) years old; with 63% being men. The predominant LS were oriented toward knowledge application. In terms of variables, no differences regarding gender were detected; the R with TA showed undirected LS characteristics; those with a low FA registered a tendency towards reproduction-directed LS; and those residents at public/state medical centres indicated construction-directed LS tendencies. An application-directed learning style predominates in this group of residents. Information regarding learning styles can provide foundations upon which arguments can be made for changes in education that are traditionally not evidence-based.

Preparing Students for Flipped or Team-Based Learning Methods

Science.gov (United States)

Balan, Peter; Clark, Michele; Restall, Gregory

2015-01-01

Purpose: Teaching methods such as Flipped Learning and Team-Based Learning require students to pre-learn course materials before a teaching session, because classroom exercises rely on students using self-gained knowledge. This is the reverse to "traditional" teaching when course materials are presented during a lecture, and students are…

An atom trap relying on optical pumping

International Nuclear Information System (INIS)

Bouyer, P.; Lemonde, P.; Ben Dahan, M.; Michaud, A.; Salomon, C.; Dalibard, J.

1994-01-01

We have investigated a new radiation pressure trap which relies on optical pumping and does not require any magnetic field. It employs six circularly polarized divergent beams and works on the red of a J g →J e = J g + 1 atomic transition with J g ≥1/2. We have demonstrated this trap with cesium atoms from a vapour cell using the 852 nm J g = 4→J e = 5 resonance transition. The trap contained up to 3.10 7 atoms in a cloud of 1/√e radius of 330 μm. (orig.)

Vicarious Neural Processing of Outcomes during Observational Learning

NARCIS (Netherlands)

Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss; Brovelli, Andrea; Keysers, Christian; Wicker, Bruno

2013-01-01

Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on

Active Learning of Classification Models with Likert-Scale Feedback.

Science.gov (United States)

Xue, Yanbing; Hauskrecht, Milos

2017-01-01

Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.

Can E-Learning Change Work Practices?

Science.gov (United States)

Noesgaard, Signe Schack

2016-01-01

Stand-alone e-learning is unlikely to change work practices. This claim contrasts with a comprehensive body of research arguing that e-learning is at least as effective as face-to-face instruction in improving work performance. Such a comparison is, however, problematic. On the one hand, it relies on the premise that face-to-face instruction is…

Knowledge Building Conceptualisation within Smart Constructivist Learning Systems

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

This chapter focuses on the meeting of Constructivism (as a learning theory) and Smart Learning and, thus, theorises Smart Constructivist Learning. The main field of research is Smart Learning Environments. Relying on the phenomena of ‘meaning construction’ and ‘meaningful understanding production......’ in the framework of smart constructivism, we will focus on analysing Smart Constructivist Knowledge Building. Accordingly, we analysed Learning-and-Constructing-Together as a smart constructivist model. The outcomes of this chapter could support the developments of smart learning strategies....

On the organizational learning work process

International Nuclear Information System (INIS)

Weil, Richard; Apostolakis, George

2000-01-01

This paper presents an organizational learning work process for use at nuclear power plants or other high-risk industries. Relying on insights gained from surveying organizational learning activities at nuclear power plants, the proposed work process synthesizes distributed learning activities and improves upon existing organizational learning processes. A root-cause analysis that targets organizational factors is presented. Additionally, a more accurate and objective methodology for prioritizing operating experience is presented. This methodology was applied to a case study during a workshop with utility personnel held at MIT. (author)

A Conceptual Framework for Organizing Active Learning Experiences in Biology Instruction

Science.gov (United States)

Gardner, Joel; Belland, Brian R.

2012-01-01

Introductory biology courses form a cornerstone of undergraduate instruction. However, the predominantly used lecture approach fails to produce higher-order biology learning. Research shows that active learning strategies can increase student learning, yet few biology instructors use all identified active learning strategies. In this paper, we…

The Computational Development of Reinforcement Learning during Adolescence.

Directory of Open Access Journals (Sweden)

Stefano Palminteri

2016-06-01

Full Text Available Adolescence is a period of life characterised by changes in learning and decision-making. Learning and decision-making do not rely on a unitary system, but instead require the coordination of different cognitive processes that can be mathematically formalised as dissociable computational modules. Here, we aimed to trace the developmental time-course of the computational modules responsible for learning from reward or punishment, and learning from counterfactual feedback. Adolescents and adults carried out a novel reinforcement learning paradigm in which participants learned the association between cues and probabilistic outcomes, where the outcomes differed in valence (reward versus punishment and feedback was either partial or complete (either the outcome of the chosen option only, or the outcomes of both the chosen and unchosen option, were displayed. Computational strategies changed during development: whereas adolescents' behaviour was better explained by a basic reinforcement learning algorithm, adults' behaviour integrated increasingly complex computational features, namely a counterfactual learning module (enabling enhanced performance in the presence of complete feedback and a value contextualisation module (enabling symmetrical reward and punishment learning. Unlike adults, adolescent performance did not benefit from counterfactual (complete feedback. In addition, while adults learned symmetrically from both reward and punishment, adolescents learned from reward but were less likely to learn from punishment. This tendency to rely on rewards and not to consider alternative consequences of actions might contribute to our understanding of decision-making in adolescence.

Exploitative Learning by Exporting

DEFF Research Database (Denmark)

Golovko, Elena; Lopes Bento, Cindy; Sofka, Wolfgang

Decisions on entering foreign markets are among the most challenging but also potentially rewarding strategy choices managers can make. In this study, we examine the effect of export entry on the firm investment decisions in two activities associated with learning about new technologies...... and learning about new markets ? R&D investments and marketing investments, in search of novel insights into the content and process underlying learning by exporting. We draw from organizational learning theory for predicting changes in both R&D and marketing investment patterns that accompany firm entry......, it is predominantly the marketing-related investment decisions associated with starting to export that lead to increases in firm productivity. We conclude that learning-by-exporting might be more properly characterized as ?learning about and exploiting new markets? rather than ?learning about new technologies...

Early results of experiments with responsive open learning environments

OpenAIRE

Friedrich, M.; Wolpers, M.; Shen, R.; Ullrich, C.; Klamma, R.; Renzel, D.; Richert, A.; Heiden, B. von der

2011-01-01

Responsive open learning environments (ROLEs) are the next generation of personal learning environments (PLEs). While PLEs rely on the simple aggregation of existing content and services mainly using Web 2.0 technologies, ROLEs are transforming lifelong learning by introducing a new infrastructure on a global scale while dealing with existing learning management systems, institutions, and technologies. The requirements engineering process in highly populated test-beds is as important as the t...

THE EFFECTIVENESS OF E-LEARNING: Academic and Business Comparison

OpenAIRE

Ayham FAYYOUMI

2009-01-01

Countries’ success in the knowledge economy increasingly rely on highly-skilled and qualified people, which in turn, requires rapid, effective, and less expensive education and training. In this context, e-Learning has emerged; e-Learning is scalable, less expensive than traditional learning, and clearly advantageous for learners to access educational information and content anywhere and anytime. However, for evaluating the effectiveness of e-learning programs, a definition of ‘effectiveness’...

An Integration Architecture of Virtual Campuses with External e-Learning Tools

Science.gov (United States)

Navarro, Antonio; Cigarran, Juan; Huertas, Francisco; Rodriguez-Artacho, Miguel; Cogolludo, Alberto

2014-01-01

Technology enhanced learning relies on a variety of software architectures and platforms to provide different kinds of management service and enhanced instructional interaction. As e-learning support has become more complex, there is a need for virtual campuses that combine learning management systems with the services demanded by educational…

A Framework for Adaptive Learning Design in a Web-Conferencing Environment

Science.gov (United States)

Bower, Matt

2016-01-01

Many recent technologies provide the ability to dynamically adjust the interface depending on the emerging cognitive and collaborative needs of the learning episode. This means that educators can adaptively re-design the learning environment during the lesson, rather than purely relying on preemptive learning design thinking. Based on a…

Blending Online Asynchronous and Synchronous Learning

Directory of Open Access Journals (Sweden)

Lisa C. Yamagata-Lynch

2014-04-01

Full Text Available In this article I will share a qualitative self-study about a 15-week blended 100% online graduate level course facilitated through synchronous meetings on Blackboard Collaborate and asynchronous discussions on Blackboard. I taught the course at the University of Tennessee (UT during the spring 2012 semester and the course topic was online learning environments. The primary research question of this study was: How can the designer/instructor optimize learning experiences for students who are studying about online learning environments in a blended online course relying on both synchronous and asynchronous technologies? I relied on student reflections of course activities during the beginning, middle, and the end of the semester as the primary data source to obtain their insights regarding course experiences. Through the experiences involved in designing and teaching the course and engaging in this study I found that there is room in the instructional technology research community to address strategies for facilitating online synchronous learning that complement asynchronous learning. Synchronous online whole class meetings and well-structured small group meetings can help students feel a stronger sense of connection to their peers and instructor and stay engaged with course activities. In order to provide meaningful learning spaces in synchronous learning environments, the instructor/designer needs to balance the tension between embracing the flexibility that the online space affords to users and designing deliberate structures that will help them take advantage of the flexible space.

Abdominal Pain-Predominant Functional Gastrointestinal Disorders in Jordanian School Children.

Science.gov (United States)

Altamimi, Eyad M; Al-Safadi, Mohammad H

2014-12-01

Recurrent abdominal pain (RAP) is a common complaint in children. Significant portion of them are of functional origin. This study aimed to assess the prevalence of abdominal pain-predominant functional gastrointestinal disorder (FGID) and its types in Jordanian school children. This is a school-based survey at south Jordan. Information using the self-reporting form of the Questionnaire on Pediatric Gastrointestinal Symptoms-Rome III Version (QPGS-RIII) - the official Arabic translation - was collected. Classes from academic years (grades) 6 - 8 were selected. SPSS Statistical Package Version 17 (IBM, Armonk, NY, USA) was used. Categorical data were analyzed using Fisher's exact test, and continuous data were analyzed using t -test. P abdominal pain-predominant FGID. Seventy-nine (68%) of them were females. Forty-seven (10.6%) had irritable bowel syndrome (IBS). Thirty-six (8%), 17 (3.8%), 11 (2.4%) and five (1.1%) had abdominal migraine, functional abdominal pain, functional abdominal pain syndrome and functional dyspepsia, respectively. Abdominal pain-predominant FGID has become a major health issue in Jordanian children. One of four children between the ages of 11 and 15 years exhibits at least one abdominal pain-predominant FGID. The most common form of abdominal pain-predominant FGID in our children was IBS. Females are affected more often than males. Intestinal and extra-intestinal symptoms are seen regularly with abdominal pain-predominant FGIDs.

Cooperative Learning, Responsibility, Ambiguity, Controversy and Support in Motivating Students

Science.gov (United States)

Brecke, Ronald; Jensen, Jacy

2007-01-01

This paper argues that student motivation is nurtured more by intrinsic rather than extrinsic rewards. Rather than relying on grades alone to stimulate students, this paper explores how engendering a natural critical learning environment can give students a sense of ownership in their own learning and lead to their commitment to that learning. We…

The Effect of Multiple Intelligences on DDL Vocabulary Learning

Directory of Open Access Journals (Sweden)

Asma’a Abdulrazzaq Al-Mahbashi

2017-01-01

Full Text Available Over the past decades, the potential for the direct use of corpora known as data driven learning (DDL has gained great prominence in English language classrooms. A substantial number of empirical studies demonstrated that DDL instruction positively affects students’ learning. As learning outcomes can be affected by individual differences, some researchers have investigated the efficiency of DDL in the light of learners’ different characteristics to determine the type of learners who were more responsive to DDL. The DDL literature has indicated the need for more research addressing for whom DDL best suits. Therefore, the aim of the current study was to examine whether or not learners’ predominant intelligences were significant predictors of DDL learning outcomes. The sample for this study included 30 female EFL Yemeni students at Sana’a University. The study used three primary instruments:  a multiple intelligence questionnaire, a posttest and a delayed test on the vocabulary that was taught using DDL. The result of the correlation analyses between the participants’ three identified predominant intelligences and their performances in the posttest and delayed test showed an insignificant relationship between the variables. The regression analyses results also revealed that the predominant intelligences insignificantly predicted the participants’ posttest and delayed test performances.  Based on these findings, learners’ needs and preferences should be activated and addressed by classroom instructions for creating a diverse and motivating learning environment.

Reinforcement Learning in Autism Spectrum Disorder

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Manuela Schuetze

2017-11-01

Full Text Available Early behavioral interventions are recognized as integral to standard care in autism spectrum disorder (ASD, and often focus on reinforcing desired behaviors (e.g., eye contact and reducing the presence of atypical behaviors (e.g., echoing others' phrases. However, efficacy of these programs is mixed. Reinforcement learning relies on neurocircuitry that has been reported to be atypical in ASD: prefrontal-sub-cortical circuits, amygdala, brainstem, and cerebellum. Thus, early behavioral interventions rely on neurocircuitry that may function atypically in at least a subset of individuals with ASD. Recent work has investigated physiological, behavioral, and neural responses to reinforcers to uncover differences in motivation and learning in ASD. We will synthesize this work to identify promising avenues for future research that ultimately can be used to enhance the efficacy of early intervention.

Teaching Real-World Applications of Business Statistics Using Communication to Scaffold Learning

Science.gov (United States)

Green, Gareth P.; Jones, Stacey; Bean, John C.

2015-01-01

Our assessment research suggests that quantitative business courses that rely primarily on algorithmic problem solving may not produce the deep learning required for addressing real-world business problems. This article illustrates a strategy, supported by recent learning theory, for promoting deep learning by moving students gradually from…

Peer Learning in Specialist Higher Music Education

Science.gov (United States)

Hanken, Ingrid Maria

2016-01-01

Research on peer learning in higher education indicates that learning from and together with peers can benefit students in a number of ways. Within higher music education in Western, classical music, however, the master-apprentice tradition with its dominant one-to-one mode of tuition focuses predominantly on knowledge transmission from teacher to…

Sensorimotor Distractions When Learning with Mobile Phones On-the-Move

Science.gov (United States)

Castellano, Soledad; Arnedillo-Sánchez, Inmaculada

2016-01-01

This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive…

Juxtaposed color halftoning relying on discrete lines.

Science.gov (United States)

Babaei, Vahid; Hersch, Roger D

2013-02-01

Most halftoning techniques allow screen dots to overlap. They rely on the assumption that the inks are transparent, i.e., the inks do not scatter a significant portion of the light back to the air. However, many special effect inks, such as metallic inks, iridescent inks, or pigmented inks, are not transparent. In order to create halftone images, halftone dots formed by such inks should be juxtaposed, i.e., printed side by side. We propose an efficient juxtaposed color halftoning technique for placing any desired number of colorant layers side by side without overlapping. The method uses a monochrome library of screen elements made of discrete lines with rational thicknesses. Discrete line juxtaposed color halftoning is performed efficiently by multiple accesses to the screen element library.

Cooperative Learning, Responsibility, Ambiguity, Controversy and Support in Motivating Students

Directory of Open Access Journals (Sweden)

Ronald Brecke, PhD

2007-08-01

Full Text Available This paper argues that student motivation is nurtured more by intrinsic rather than extrinsic rewards. Rather than relying on grades alone to stimulate students, this paper explores how engendering a natural critical learning environment can give students a sense of ownership in their own learning and lead to their commitment to that learning. We examine uses of cooperative learning, shared responsibility, ambiguity, controversy and support in student motivation.

Cooperative Learning, Responsibility, Ambiguity, Controversy and Support in Motivating Students

Directory of Open Access Journals (Sweden)

Ronald Brecke

2007-01-01

Full Text Available This paper argues that student motivation is nurtured more by intrinsic rather than extrinsic rewards. Rather than relying on grades alone to stimulate students, this paper explores how engendering a natural critical learning environment can give students a sense of ownership in their own learning and lead to their commitment to that learning. We examine uses of cooperative learning, shared responsibility, ambiguity, controversy and support in student motivation.

Learning with Security

Science.gov (United States)

Jokela, Paivi; Karlsudd, Peter

2007-01-01

The current higher education, both distance education and traditional campus courses, relies more and more on modern information and communication technologies (ICT). The use of computer systems and networks results in a wide range of security issues that must be dealt with in order to create a safe learning environment. In this work, we study the…

Application of Learning Theories on Medical Imaging Education

Directory of Open Access Journals (Sweden)

Osama A. Mabrouk Kheiralla

2018-05-01

Full Text Available The main objective of the education process is that student must learn well rather than the educators to teach well. If radiologists get involved in the process of medical education, it is important for them to do it through sound knowledge of how students learn. Researches have proved that most of the teachers in the field of medical education including diagnostic imaging are actually doctors or technicians, who didn’t have an opportunity to study the basics of learning. Mostly they have gained their knowledge through watching other educators, and they mostly rely on their personal skills and experience in doing their job. This will hinder them from conveying knowledge in an effective and scientific way, and they will find themselves lagging away behind the latest advances in the field of medical education and educational research, which will lead to negative cognitive outcomes among learners. This article presents an overview of three of the most influential basic theories of learning, upon which many teachers rely in their practical applications, which must be considered by radiologist who act as medical educators.

iLearning: The Future of Higher Education? Student Perceptions on Learning with Mobile Tablets

Science.gov (United States)

Rossing, Jonathan P.; Miller, Willie M.; Cecil, Amanda K.; Stamper, Suzan E.

2012-01-01

The growing use of mobile technology on college campuses suggests the future of the classroom, including learning activities, research, and even student faculty communications, will rely heavily on mobile technology. Since Fall 2010, an interdisciplinary team of faculty from Indiana University--Purdue University Indianapolis (IUPUI) has…

When Collaborative Is Not Collaborative: Supporting Student Learning through Self-Surveillance

Science.gov (United States)

Kotsopoulos, Donna

2010-01-01

Collaborative learning has been widely endorsed in education. This qualitative research examines instances of collaborative learning during mathematics that were seen to be predominantly non-collaborative despite the pedagogical efforts and intentions of the teacher and the task. In an effort to disrupt the non-collaborative learning, small groups…

Asymmetrical learning between a tactile and visual serial RT task

NARCIS (Netherlands)

Abrahamse, E.L.; van der Lubbe, Robert Henricus Johannes; Verwey, Willem B.

2007-01-01

According to many researchers, implicit learning in the serial reaction-time task is predominantly motor based and therefore should be independent of stimulus modality. Previous research on the task, however, has focused almost completely on the visual domain. Here we investigated sequence learning

Powerful Feelings: Exploring the Affective Domain of Informal and Arts-Based Learning

Science.gov (United States)

Lawrence, Randee Lipson

2008-01-01

This article looks at the ways in which people learn informally through artistic expression such as dance, drama, poetry, music, literature, film, and all of the visual arts and how people access this learning through their emotions. The author begins with a look at the limitations of relying primarily on technical-rational learning processes.…

Learning styles in otolaryngology fellowships.

Science.gov (United States)

Varela, David A Diaz Voss; Malik, Mohammad U; Laeeq, Kulsoom; Pandian, Vinciya; Brown, David J; Weatherly, Robert A; Cummings, Charles W; Bhatti, Nasir I

2011-12-01

Previous studies have identified a predominant learning style in trainees from different specialties, more recently in otolaryngology residents. The purpose of our study was to determine a predominant learning style within otolaryngology fellowships and to identify any differences between otolaryngology fellows and residents. We conducted a survey of otolaryngology fellows at 25 otolaryngology fellowship programs accredited by the Accreditation Council for Graduate Medical Education. We emailed Kolb's Learning Style Index version 3.1 to 16 pediatric otolaryngology (PO) and 24 otology/neurotology (ON) fellows. This index is a widely used 12-item questionnaire. The participants answered each item in the questionnaire as it applied to their preferred learning style: accommodating, converging, diverging, or assimilating. Results were then analyzed and compared between each subspecialty and the previously reported preferred styles of otolaryngology residents. Ten PO and 20 ON fellows completed the survey, with an overall response rate of 75%. PO and ON fellows (60% of each group) preferred a learning style that was "balanced" across all four styles. For ON fellows, 35% preferred converging and 5% preferred accommodating styles. For PO fellows, converging and accommodating styles accounted for 20% each. It was previously reported that 74.4% of otolaryngology residents prefer either converging or accommodating styles. We believe that the fellowship training environment calls for fellows to use more than one learning style to become proficient physicians, hence the trend toward potentially developing a balanced style when at this level. Copyright © 2011 The American Laryngological, Rhinological, and Otological Society, Inc.

Innovation and learning facilitated by play

DEFF Research Database (Denmark)

Hansen, Poul H. Kyvsgård; O´Connor, Rory

2008-01-01

"This paper describes an approach to facilitate interaction between students and industrial companies in a problem based learning environment. The approach is adapted from a methodology developed at the LEGO Company and relies on an improved ability to communicate complex problems when using...

Active Learning Not Associated with Student Learning in a Random Sample of College Biology Courses

Science.gov (United States)

Andrews, T. M.; Leonard, M. J.; Colgrove, C. A.; Kalinowski, S. T.

2011-01-01

Previous research has suggested that adding active learning to traditional college science lectures substantially improves student learning. However, this research predominantly studied courses taught by science education researchers, who are likely to have exceptional teaching expertise. The present study investigated introductory biology courses randomly selected from a list of prominent colleges and universities to include instructors representing a broader population. We examined the relationship between active learning and student learning in the subject area of natural selection. We found no association between student learning gains and the use of active-learning instruction. Although active learning has the potential to substantially improve student learning, this research suggests that active learning, as used by typical college biology instructors, is not associated with greater learning gains. We contend that most instructors lack the rich and nuanced understanding of teaching and learning that science education researchers have developed. Therefore, active learning as designed and implemented by typical college biology instructors may superficially resemble active learning used by education researchers, but lacks the constructivist elements necessary for improving learning. PMID:22135373

Pediatric residents' learning styles and temperaments and their relationships to standardized test scores.

Science.gov (United States)

Tuli, Sanjeev Y; Thompson, Lindsay A; Saliba, Heidi; Black, Erik W; Ryan, Kathleen A; Kelly, Maria N; Novak, Maureen; Mellott, Jane; Tuli, Sonal S

2011-12-01

Board certification is an important professional qualification and a prerequisite for credentialing, and the Accreditation Council for Graduate Medical Education (ACGME) assesses board certification rates as a component of residency program effectiveness. To date, research has shown that preresidency measures, including National Board of Medical Examiners scores, Alpha Omega Alpha Honor Medical Society membership, or medical school grades poorly predict postresidency board examination scores. However, learning styles and temperament have been identified as factors that 5 affect test-taking performance. The purpose of this study is to characterize the learning styles and temperaments of pediatric residents and to evaluate their relationships to yearly in-service and postresidency board examination scores. This cross-sectional study analyzed the learning styles and temperaments of current and past pediatric residents by administration of 3 validated tools: the Kolb Learning Style Inventory, the Keirsey Temperament Sorter, and the Felder-Silverman Learning Style test. These results were compared with known, normative, general and medical population data and evaluated for correlation to in-service examination and postresidency board examination scores. The predominant learning style for pediatric residents was converging 44% (33 of 75 residents) and the predominant temperament was guardian 61% (34 of 56 residents). The learning style and temperament distribution of the residents was significantly different from published population data (P  =  .002 and .04, respectively). Learning styles, with one exception, were found to be unrelated to standardized test scores. The predominant learning style and temperament of pediatric residents is significantly different than that of the populations of general and medical trainees. However, learning styles and temperament do not predict outcomes on standardized in-service and board examinations in pediatric residents.

Learning from tutorials: a qualitative study of approaches to learning and perceptions of tutorial interaction

DEFF Research Database (Denmark)

Herrmann, Kim Jesper

2014-01-01

This study examines differences in university students’ approaches to learning when attending tutorials as well as variation in students’ perceptions of tutorials as an educational arena. In-depth qualitative analysis of semi-structured interviews with undergraduates showed how surface and deep...... approaches to learning were revealed in the students’ note-taking, listening, and engaging in dialogue. It was also shown how variation in the students’ approaches to learning were coherent with variation in the students’ perceptions of the tutors’ pedagogical role, the value of peer interaction......, and the overall purpose of tutorials. The results are discussed regarding the paradox that students relying on surface approaches to learning seemingly are the ones least likely to respond to tutorials in the way they were intended....

Predicting Process Behaviour using Deep Learning

OpenAIRE

Evermann, Joerg; Rehse, Jana-Rebecca; Fettke, Peter

2016-01-01

Predicting business process behaviour is an important aspect of business process management. Motivated by research in natural language processing, this paper describes an application of deep learning with recurrent neural networks to the problem of predicting the next event in a business process. This is both a novel method in process prediction, which has largely relied on explicit process models, and also a novel application of deep learning methods. The approach is evaluated on two real da...

Learning-by-doing

DEFF Research Database (Denmark)

Cosme, Nuno; Hauschild, Michael Z.; Molin, Christine

2018-01-01

-long duration of the course, students from different engineering backgrounds perform full-fledged LCA studies in groups, passing through two iterations—a screening LCA supporting a more targeted LCA. Results and discussion: The course design, which relies on a learning-by-doing principle, is transparently...... in recommending industries and LCA teachers to engage into such collaborations even in the fundamental teaching of LCA techniques....

Konfuciānisma, daoisma un budisma mantojums Ķīnas tautas reliģijā

OpenAIRE

Dudaļeva, Jūlija

2014-01-01

Šī bakalaura darba nosaukums ir „Konfuciānisma, daoisma un budisma mantojums Ķīnas tautas reliģijā”. Nosaukums ķīniešu tautas reliģijas ir pētnieku izveidots, un tas neatbilst nevienam tradicionālam ķīniešu nosaukumam. Tautas reliģija ir brīvi strukturēts ticību, prakses, dievību, mītu un vērtību savienojums, kas ietver sevī elementus no senču dievkalpojumiem, mirušo kulta, dabas pielūgsmes, animisma, vietējām tradīcijām, daoisma, konfuciānisma un budisma. Darba mērķis ir izpētīt konfuciān...

A tribute to Charlie Chaplin: Induced positive affect improves reward-based decision-learning in Parkinson’s Disease

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K. Richard eRidderinkhof

2012-06-01

Full Text Available Reward-based decision-learning refers to the process of learning to select those actions that lead to rewards while avoiding actions that lead to punishments. This process, known to rely on dopaminergic activity in striatal brain regions, is compromised in Parkinson’s disease (PD. We hypothesized that such decision-learning deficits are alleviated by induced positive affect, which is thought to incur transient boosts in midbrain and striatal dopaminergic activity. Computational measures of probabilistic reward-based decision-learning were determined for 51 patients diagnosed with PD. Previous work has shown these measures to rely on the nucleus caudatus (outcome evaluation during the early phases of learning and the putamen (reward prediction during later phases of learning. We observed that induced positive affect facilitated learning, through its effects on reward prediction rather than outcome evaluation. Viewing a few minutes of comedy clips served to remedy dopamine-related problems in putamen-based frontostriatal circuitry and, consequently, in learning to predict which actions will yield reward.

Educational Game Design. Bridging the gab between computer based learning and experimental learning environments

DEFF Research Database (Denmark)

Andersen, Kristine

2007-01-01

Considering the rapidly growing amount of digital educational materials only few of them bridge the gab between experimental learning environments and computer based learning environments (Gardner, 1991). Observations from two cases in primary school and lower secondary school in the subject...... with a prototype of a MOO storyline. The aim of the MOO storyline is to challenge the potential of dialogue, user involvement, and learning responsibility and to use the children?s natural curiosity and motivation for game playing, especially when digital games involves other children. The paper proposes a model......, based on the narrative approach for experimental learning subjects, relying on ideas from Csikszentmihalyis notion of flow (Csikszentmihalyi, 1991), storyline-pedagogy (Meldgaard, 1994) and ideas from Howard Gardner (Gardner, 1991). The model forms the basis for educational games to be used in home...

Learning Grasp Affordance Densities

DEFF Research Database (Denmark)

Detry, Renaud; Kraft, Dirk; Kroemer, Oliver

2011-01-01

and relies on kernel density estimation to provide a continuous model. Grasp densities are learned and refined from exploration, by letting a robot “play” with an object in a sequence of graspand-drop actions: The robot uses visual cues to generate a set of grasp hypotheses; it then executes......We address the issue of learning and representing object grasp affordance models. We model grasp affordances with continuous probability density functions (grasp densities) which link object-relative grasp poses to their success probability. The underlying function representation is nonparametric...... these and records their outcomes. When a satisfactory number of grasp data is available, an importance-sampling algorithm turns these into a grasp density. We evaluate our method in a largely autonomous learning experiment run on three objects of distinct shapes. The experiment shows how learning increases success...

Machine learning for network-based malware detection

DEFF Research Database (Denmark)

Stevanovic, Matija

and based on different, mutually complementary, principles of traffic analysis. The proposed approaches rely on machine learning algorithms (MLAs) for automated and resource-efficient identification of the patterns of malicious network traffic. We evaluated the proposed methods through extensive evaluations...

Constructivism, the so-called semantic learning theories, and situated cognition versus the psychological learning theories.

Science.gov (United States)

Aparicio, Juan José; Rodríguez Moneo, María

2005-11-01

In this paper, the perspective of situated cognition, which gave rise both to the pragmatic theories and the so-called semantic theories of learning and has probably become the most representative standpoint of constructivism, is examined. We consider the claim of situated cognition to provide alternative explanations of the learning phenomenon to those of psychology and, especially, to those of the symbolic perspective, currently predominant in cognitive psychology. The level of analysis of situated cognition (i.e., global interactive systems) is considered an inappropriate approach to the problem of learning. From our analysis, it is concluded that the pragmatic theories and the so-called semantic theories of learning which originated in situated cognition can hardly be considered alternatives to the psychological learning theories, and they are unlikely to add anything of interest to the learning theory or to contribute to the improvement of our knowledge about the learning phenomenon.

On the Use of Machine Learning for Identifying Botnet Network Traffic

DEFF Research Database (Denmark)

Stevanovic, Matija; Pedersen, Jens Myrup

2016-01-01

contemporary approaches use machine learning techniques for identifying malicious traffic. This paper presents a survey of contemporary botnet detection methods that rely on machine learning for identifying botnet network traffic. The paper provides a comprehensive overview on the existing scientific work thus...... contributing to the better understanding of capabilities, limitations and opportunities of using machine learning for identifying botnet traffic. Furthermore, the paper outlines possibilities for the future development of machine learning-based botnet detection systems....

Neuro-symbolic representation learning on biological knowledge graphs

KAUST Repository

AlShahrani, Mona; Khan, Mohammed Asif; Maddouri, Omar; Kinjo, Akira R; Queralt-Rosinach, Nú ria; Hoehndorf, Robert

2017-01-01

Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are applicable to graph

Shifting workplace behavior to inspire learning: a journey to building a learning culture.

Science.gov (United States)

Schoonbeek, Sue; Henderson, Amanda

2011-01-01

This article discusses the process of building a learning culture. It began with establishing acceptance and connection with the nurse unit manager and the ward team. In the early phases of developing rapport, bullying became apparent. Because bullying undermines sharing and trust, the hallmarks of learning environments, the early intervention work assisted staff to recognize and counteract bullying behaviors. When predominantly positive relationships were restored, interactions that facilitated open communication, including asking questions and providing feedback-behaviors commensurate with learning in the workplace-were developed during regular in-service sessions. Staff participated in role-play and role modeling desired behaviors. Once staff became knowledgeable about positive learning interactions, reward and recognition strategies began to reinforce attitudes and behaviors that align with learning. Through rewards, all nurses had the opportunity to be recognized for their contribution. Nurses who excelled were invited to become champions to continue engaging the key stakeholders to further build the learning environment. Copyright 2011, SLACK Incorporated.

Reverse hypothesis machine learning a practitioner's perspective

CERN Document Server

Kulkarni, Parag

2017-01-01

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same—the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as ...

Integrated and implicit : how residents learn CanMEDS roles by participating in practice

NARCIS (Netherlands)

Renting, Nienke; Raat, A N Janet; Dornan, Tim; Wenger-Trayner, Etienne; van der Wal, Martha A; Borleffs, Jan C C; Gans, Rijk O B; Jaarsma, A Debbie C

CONTEXT: Learning outcomes for residency training are defined in competency frameworks such as the CanMEDS framework, which ultimately aim to better prepare residents for their future tasks. Although residents' training relies heavily on learning through participation in the workplace under the

12 CFR 221.117 - When bank in “good faith” has not relied on stock as collateral.

Science.gov (United States)

2010-01-01

... bank in “good faith” has not relied on stock as collateral. (a) The Board has received questions... “indirectly secured” by stock as indicated by the phrase, “if the lender, in good faith, has not relied upon...

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

OpenAIRE

Neftci, Emre O.; Augustine, Charles; Paul, Somnath; Detorakis, Georgios

2017-01-01

An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP) rule, often relies on the immediate availability of net...

Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning Goals

Science.gov (United States)

Kinnebrew John S.; Killingsworth, Stephen S.; Clark, Douglas B.; Biswas, Gautam; Sengupta, Pratim; Minstrell, James; Martinez-Garza, Mario; Krinks, Kara

2017-01-01

Digital games can make unique and powerful contributions to K-12 science education, but much of that potential remains unrealized. Research evaluating games for learning still relies primarily on pre- and post-test data, which limits possible insights into more complex interactions between game design features, gameplay, and formal assessment.…

Strength That Silences: Learning from the Experiences of Black Female College Students with Mental Health Concerns at a Predominantly White Institution

Science.gov (United States)

Caesar-Richardson, Nadia Monique

2012-01-01

This qualitative study examines first person accounts of college experiences provided by Black female college students with mental health concerns at a predominantly White institution. Utilizing the theoretical frameworks of disability studies and critical race feminism to develop the study and analyze the collected data, this study considers the…

Learning Morse Code Alters Microstructural Properties in the Inferior Longitudinal Fasciculus: A DTI Study

OpenAIRE

Schlaffke, Lara; Leemans, Alexander; Schweizer, Lauren M.; Ocklenburg, Sebastian; Schmidt-Wilcke, Tobias

2017-01-01

Learning relies on neuroplasticity, which has mainly been studied in gray matter (GM). However, there is mounting evidence indicating a critical role of white matter changes involved in learning processes. One of the most important learning processes in human development is language acquisition. However, due to the length of this learning process, it has been notoriously difficult to investigate the underlying neuroplastic changes. Here, we report a novel learning paradigm to assess the role ...

Social plasticity relies on different neuroplasticity mechanisms across the brain social decision-making network in zebrafish

Directory of Open Access Journals (Sweden)

Magda C Teles

2016-02-01

Full Text Available Social living animals need to adjust the expression of their behavior to their status within the group and to changes in social context and this ability (social plasticity has an impact on their Darwinian fitness. At the proximate level social plasticity must rely on neuroplasticity in the brain social decision-making network (SDMN that underlies the expression of social behavior, such that the same neural circuit may underlie the expression of different behaviors depending on social context. Here we tested this hypothesis in zebrafish by characterizing the gene expression response in the SDMN to changes in social status of a set of genes involved in different types of neural plasticity: bdnf, involved in changes in synaptic strength; npas4, involved in contextual learning and dependent establishment of GABAergic synapses; neuroligins (nlgn1 and nlgn2 as synaptogenesis markers; and genes involved in adult neurogenesis (wnt3 and neurod. Four social phenotypes were experimentally induced: Winners and Losers of a real-opponent interaction; Mirror-fighters, that fight their own image in a mirror and thus do not experience a change in social status despite the expression of aggressive behavior; and non-interacting fish, which were used as a reference group. Our results show that each social phenotype (i.e. Winners, Losers and Mirror-fighters present specific patterns of gene expression across the SDMN, and that different neuroplasticity genes are differentially expressed in different nodes of the network (e.g. BDNF in the dorsolateral telencephalon, which is a putative teleost homologue of the mammalian hippocampus. Winners expressed unique patterns of gene co-expression across the SDMN, whereas in Losers and Mirror-fighters the co-expression patterns were similar in the dorsal regions of the telencephalon and in the supracommissural nucleus of the ventral telencephalic area, but differents in the remaining regions of the ventral telencephalon. These

Social Plasticity Relies on Different Neuroplasticity Mechanisms across the Brain Social Decision-Making Network in Zebrafish.

Science.gov (United States)

Teles, Magda C; Cardoso, Sara D; Oliveira, Rui F

2016-01-01

Social living animals need to adjust the expression of their behavior to their status within the group and to changes in social context and this ability (social plasticity) has an impact on their Darwinian fitness. At the proximate level social plasticity must rely on neuroplasticity in the brain social decision-making network (SDMN) that underlies the expression of social behavior, such that the same neural circuit may underlie the expression of different behaviors depending on social context. Here we tested this hypothesis in zebrafish by characterizing the gene expression response in the SDMN to changes in social status of a set of genes involved in different types of neural plasticity: bdnf, involved in changes in synaptic strength; npas4, involved in contextual learning and dependent establishment of GABAergic synapses; neuroligins (nlgn1 and nlgn2) as synaptogenesis markers; and genes involved in adult neurogenesis (wnt3 and neurod). Four social phenotypes were experimentally induced: Winners and Losers of a real-opponent interaction; Mirror-fighters, that fight their own image in a mirror and thus do not experience a change in social status despite the expression of aggressive behavior; and non-interacting fish, which were used as a reference group. Our results show that each social phenotype (i.e., Winners, Losers, and Mirror-fighters) present specific patterns of gene expression across the SDMN, and that different neuroplasticity genes are differentially expressed in different nodes of the network (e.g., BDNF in the dorsolateral telencephalon, which is a putative teleost homolog of the mammalian hippocampus). Winners expressed unique patterns of gene co-expression across the SDMN, whereas in Losers and Mirror-fighters the co-expression patterns were similar in the dorsal regions of the telencephalon and in the supracommissural nucleus of the ventral telencephalic area, but differents in the remaining regions of the ventral telencephalon. These results

Social Plasticity Relies on Different Neuroplasticity Mechanisms across the Brain Social Decision-Making Network in Zebrafish

Science.gov (United States)

Teles, Magda C.; Cardoso, Sara D.; Oliveira, Rui F.

2016-01-01

Social living animals need to adjust the expression of their behavior to their status within the group and to changes in social context and this ability (social plasticity) has an impact on their Darwinian fitness. At the proximate level social plasticity must rely on neuroplasticity in the brain social decision-making network (SDMN) that underlies the expression of social behavior, such that the same neural circuit may underlie the expression of different behaviors depending on social context. Here we tested this hypothesis in zebrafish by characterizing the gene expression response in the SDMN to changes in social status of a set of genes involved in different types of neural plasticity: bdnf, involved in changes in synaptic strength; npas4, involved in contextual learning and dependent establishment of GABAergic synapses; neuroligins (nlgn1 and nlgn2) as synaptogenesis markers; and genes involved in adult neurogenesis (wnt3 and neurod). Four social phenotypes were experimentally induced: Winners and Losers of a real-opponent interaction; Mirror-fighters, that fight their own image in a mirror and thus do not experience a change in social status despite the expression of aggressive behavior; and non-interacting fish, which were used as a reference group. Our results show that each social phenotype (i.e., Winners, Losers, and Mirror-fighters) present specific patterns of gene expression across the SDMN, and that different neuroplasticity genes are differentially expressed in different nodes of the network (e.g., BDNF in the dorsolateral telencephalon, which is a putative teleost homolog of the mammalian hippocampus). Winners expressed unique patterns of gene co-expression across the SDMN, whereas in Losers and Mirror-fighters the co-expression patterns were similar in the dorsal regions of the telencephalon and in the supracommissural nucleus of the ventral telencephalic area, but differents in the remaining regions of the ventral telencephalon. These results

Can E-learning change work practices?

DEFF Research Database (Denmark)

Noesgaard, Signe Schack

2016-01-01

Stand-alone e-learning is unlikely to change work practices. This claim contrasts with a comprehensive body of research arguing that e-learning is at least as effective as face-to-face instruction in improving work performance. Such a comparison is, however, problematic. On the one hand, it relies...... on the premise that face-to-face instruction is effective in changing work behaviors. This article argues that instruction—whether e-learning, face-to-face, or a blend of both—cannot stand alone. Individualized on-the-job scaffolding of employees is needed for meaningful learning transfer and sustainable...... behavior change to occur. On the other hand, e-learning can be as important as face-to-face instruction in preparing the ground for advancing work practices, when e-learning is designed in acknowledgement of its strength and limitations. In outlining the above arguments, this article contributes a four...

PACS infrastructure supporting e-learning

Energy Technology Data Exchange (ETDEWEB)

Mildenberger, Peter, E-mail: milden@radiologie.klinik.uni-mainz.de [University Medicine Mainz, Johannes Gutenberg-University Mainz, Langenbeckstr 1, Mainz (Germany); Brueggemann, Kerstin; Roesner, Freya; Koch, Katja; Ahlers, Christopher [University Medicine Mainz, Johannes Gutenberg-University Mainz, Langenbeckstr 1, Mainz (Germany)

2011-05-15

Digital imaging is becoming predominant in radiology. This has implications for teaching support, because conventional film-based concepts are now obsolete. The IHE Teaching File and Clinical Study Export (TCE) profile provides an excellent platform to enhance PACS infrastructure with educational functionality. This can be supplemented with dedicated e-learning tools.

PACS infrastructure supporting e-learning

International Nuclear Information System (INIS)

Mildenberger, Peter; Brueggemann, Kerstin; Roesner, Freya; Koch, Katja; Ahlers, Christopher

2011-01-01

Digital imaging is becoming predominant in radiology. This has implications for teaching support, because conventional film-based concepts are now obsolete. The IHE Teaching File and Clinical Study Export (TCE) profile provides an excellent platform to enhance PACS infrastructure with educational functionality. This can be supplemented with dedicated e-learning tools.

Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

Science.gov (United States)

Niemann, Katja; Wolpers, Martin

2015-01-01

In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

Teamwork Skills Assessment for Cooperative Learning

Science.gov (United States)

Strom, Paris S.; Strom, Robert D.

2011-01-01

Teamwork skills are required at work, but teacher efforts in many countries to track achievement within this context have been hindered by lack of assessment tools and input from students. The Teamwork Skills Inventory relies on peer and self-evaluation to establish accountability, identify competencies, and detect learning needs. Twenty-five…

Enhanced thyroid iodine metabolism in patients with triiodothyronine-predominant Graves' disease

International Nuclear Information System (INIS)

Takamatsu, J.; Hosoya, T.; Naito, N.

1988-01-01

Some patients with hyperthyroid Graves' disease have increased serum T3 and normal or even low serum T4 levels during treatment with antithyroid drugs. These patients with elevated serum T3 to T4 ratios rarely have a remission of their hyperthyroidism. The aim of this study was to investigate thyroid iodine metabolism in such patients, whom we termed T3-predominant Graves' disease. Mean thyroid radioactive iodine uptake was 51.0 +/- 18.1% ( +/- SD) at 3 h, and it decreased to 38.9 +/- 20.1% at 24 h in 31 patients with T3-predominant Graves' disease during treatment. It was 20.0 +/- 11.4% at 3 h and increased to 31.9 +/- 16.0% at 24 h in 17 other patients with hyperthyroid Graves' disease who had normal serum T3 and T4 levels and a normal serum T3 to T4 ratio during treatment (control Graves' disease). The activity of serum TSH receptor antibodies was significantly higher in the patients with T3-predominant Graves' disease than in control Graves' disease patients. From in vitro studies of thyroid tissue obtained at surgery, both thyroglobulin content and iodine content in thyroglobulin were significantly lower in patients with T3-predominant Graves' disease than in the control Graves' disease patients. Thyroid peroxidase (TPO) activity determined by a guaiacol assay was 0.411 +/- 0.212 g.u./mg protein in the T3-predominant Graves' disease patients, significantly higher than that in the control Graves' disease patients. Serum TPO autoantibody levels determined by immunoprecipitation also were greater in T3-predominant Graves' disease patients than in control Graves' disease patients. Binding of this antibody to TPO slightly inhibited the enzyme activity of TPO, but this effect of the antibody was similar in the two groups of patients

Learning Styles: A Pivotal Point for Retention and Career Decision Guidance.

Science.gov (United States)

Jenkins, Jeannette

The importance of learning styles to student retention and career decision guidance is considered. Learning style is the way people process information and solve problems. Research on right and left brain processing, which indicates that the left hemisphere controls thoughts that are predominately rational and the right hemisphere controls…

Long-Range Correlation in alpha-Wave Predominant EEG in Human

Science.gov (United States)

Sharif, Asif; Chyan Lin, Der; Kwan, Hon; Borette, D. S.

2004-03-01

The background noise in the alpha-predominant EEG taken from eyes-open and eyes-closed neurophysiological states is studied. Scale-free characteristic is found in both cases using the wavelet approach developed by Simonsen and Nes [1]. The numerical results further show the scaling exponent during eyes-closed is consistently lower than eyes-open. We conjecture the origin of this difference is related to the temporal reconfiguration of the neural network in the brain. To further investigate the scaling structure of the EEG background noise, we extended the second order statistics to higher order moments using the EEG increment process. We found that the background fluctuation in the alpha-predominant EEG is predominantly monofractal. Preliminary results are given to support this finding and its implication in brain functioning is discussed. [1] A.H. Simonsen and O.M. Nes, Physical Review E, 58, 2779¡V2748 (1998).

Anemonefishes rely on visual and chemical cues to correctly identify conspecifics

Science.gov (United States)

Johnston, Nicole K.; Dixson, Danielle L.

2017-09-01

Organisms rely on sensory cues to interpret their environment and make important life-history decisions. Accurate recognition is of particular importance in diverse reef environments. Most evidence on the use of sensory cues focuses on those used in predator avoidance or habitat recognition, with little information on their role in conspecific recognition. Yet conspecific recognition is essential for life-history decisions including settlement, mate choice, and dominance interactions. Using a sensory manipulated tank and a two-chamber choice flume, anemonefish conspecific response was measured in the presence and absence of chemical and/or visual cues. Experiments were then repeated in the presence or absence of two heterospecific species to evaluate whether a heterospecific fish altered the conspecific response. Anemonefishes responded to both the visual and chemical cues of conspecifics, but relied on the combination of the two cues to recognize conspecifics inside the sensory manipulated tank. These results contrast previous studies focusing on predator detection where anemonefishes were found to compensate for the loss of one sensory cue (chemical) by utilizing a second cue (visual). This lack of sensory compensation may impact the ability of anemonefishes to acclimate to changing reef environments in the future.

Learning context conditions for BDI plan selection

NARCIS (Netherlands)

Singh, D.; Sardina, S.; Padgham, L.; Airiau, S.; van der Hoek, W.; Kaminka, G.A.; Lespérance, Y.; Luck, M.; Sen, S.

2010-01-01

An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-called context conditions of plans, on which the whole model relies for plan selection, are restricted to be boolean formulas

The neurobiology of infant maternal odor learning

Directory of Open Access Journals (Sweden)

C. Raineki

2010-10-01

Full Text Available Infant rats must learn to identify their mother’s diet-dependent odor. Once learned, maternal odor controls pups’ approach to the mother, their social behavior and nipple attachment. Here we present a review of the research from four different laboratories, which suggests that neural and behavioral responses to the natural maternal odor and neonatal learned odors are similar. Together, these data indicate that pups have a unique learning circuit relying on the olfactory bulb for neural plasticity and on the hyperfunctioning noradrenergic locus coeruleus flooding the olfactory bulb with norepinephrine to support the neural changes. Another important factor making this system unique is the inability of the amygdala to become incorporated into the infant learning circuit. Thus, infant rats appear to be primed in early life to learn odors that will evoke approach responses supporting attachment to the caregiver.

The Long-Term Multicenter Observational Study of Dabigatran Treatment in Patients With Atrial Fibrillation (RELY-ABLE) Study

DEFF Research Database (Denmark)

Connolly, S. J.; Wallentin, L.; Ezekowitz, M. D.

2013-01-01

. There is a need for longer-term follow-up of patients on dabigatran and for further data comparing the 2 dabigatran doses. Methods and Results Patients randomly assigned to dabigatran in RE-LY were eligible for the Long-term Multicenter Extension of Dabigatran Treatment in Patients with Atrial Fibrillation (RELY...

Exploring Factors That Influence Adoption of e-Learning within Higher Education

Science.gov (United States)

King, Emma; Boyatt, Russell

2015-01-01

E-learning is increasingly adopted in the workplace for supporting professional development and continuing education; however, in higher education, the use of e-learning is predominantly used as a tool support teaching. As a relatively new priority for universities, this paper explores what influences its adoption. Challenges identified in the…

Failing to learn from negative prediction errors: Obesity is associated with alterations in a fundamental neural learning mechanism.

Science.gov (United States)

Mathar, David; Neumann, Jane; Villringer, Arno; Horstmann, Annette

2017-10-01

Prediction errors (PEs) encode the difference between expected and actual action outcomes in the brain via dopaminergic modulation. Integration of these learning signals ensures efficient behavioral adaptation. Obesity has recently been linked to altered dopaminergic fronto-striatal circuits, thus implying impairments in cognitive domains that rely on its integrity. 28 obese and 30 lean human participants performed an implicit stimulus-response learning paradigm inside an fMRI scanner. Computational modeling and psycho-physiological interaction (PPI) analysis was utilized for assessing PE-related learning and associated functional connectivity. We show that human obesity is associated with insufficient incorporation of negative PEs into behavioral adaptation even in a non-food context, suggesting differences in a fundamental neural learning mechanism. Obese subjects were less efficient in using negative PEs to improve implicit learning performance, despite proper coding of PEs in striatum. We further observed lower functional coupling between ventral striatum and supplementary motor area in obese subjects subsequent to negative PEs. Importantly, strength of functional coupling predicted task performance and negative PE utilization. These findings show that obesity is linked to insufficient behavioral adaptation specifically in response to negative PEs, and to associated alterations in function and connectivity within the fronto-striatal system. Recognition of neural differences as a central characteristic of obesity hopefully paves the way to rethink established intervention strategies: Differential behavioral sensitivity to negative and positive PEs should be considered when designing intervention programs. Measures relying on penalization of unwanted behavior may prove less effective in obese subjects than alternative approaches. Copyright © 2017 Elsevier Ltd. All rights reserved.

Objective assessment of mastication predominance in healthy dentate subjects and patients with unilateral posterior missing teeth.

Science.gov (United States)

Yamasaki, Y; Kuwatsuru, R; Tsukiyama, Y; Oki, K; Koyano, K

2016-08-01

We aimed to investigate mastication predominance in healthy dentate individuals and patients with unilateral posterior missing teeth using objective and subjective methods. The sample comprised 50 healthy dentate individuals (healthy dentate group) and 30 patients with unilateral posterior missing teeth (partially edentulous group). Subjects were asked to freely chew three kinds of test foods (peanuts, beef jerky and chewing gum). Electromyographic activity of the bilateral masseter muscles was recorded. The chewing side (right side or left side) was judged by the level of root mean square electromyographic amplitude. Mastication predominance was then objectively assessed using the mastication predominant score and the mastication predominant index. Self-awareness of mastication predominance was evaluated using a modified visual analogue scale. Mastication predominance scores of the healthy dentate and partially edentulous groups for each test food were analysed. There was a significant difference in the distribution of the mastication predominant index between the two groups (P mastication predominant score was weakly correlated with self-awareness of mastication predominance in the healthy dentate group, whereas strong correlation was observed in the partially edentulous group (P mastication predominance and were more aware of mastication predominance than healthy dentate individuals. Our findings suggest that an objective evaluation of mastication predominance is more precise than a subjective method. © 2016 John Wiley & Sons Ltd.

Robust semi-supervised learning : projections, limits & constraints

NARCIS (Netherlands)

Krijthe, J.H.

2018-01-01

In many domains of science and society, the amount of data being gathered is increasing rapidly. To estimate input-output relationships that are often of interest, supervised learning techniques rely on a specific type of data: labeled examples for which we know both the input and an outcome. The

The Classroom Environment Study: Teaching for Learning.

Science.gov (United States)

Anderson, Lorin W.

1987-01-01

The IEA's Classroom Environment Study, implemented in grades 5-9 in 9 countries, examined effects on student outcomes of home, community, school, teacher, and student characteristics and classroom practices. Across countries, course content varied widely, but teachers relied on relatively few classroom behaviors. Student learning was affected by…

Intrinsic Motivation to Learn: The Nexus between Psychological Health and Academic Success

Science.gov (United States)

Froiland, John Mark; Oros, Emily; Smith, Liana; Hirchert, Tyrell

2012-01-01

Intrinsic motivation (IM) to learn, if cultivated, can lead to many academic and social/emotional improvements among K-12 students. This article discusses intrinsic motivation to learn as it relates to Self Determination Theory and the trouble with relying solely on extrinsic motivators. The academic benefits of IM in the specific subject areas of…

Effects of "Handep" Cooperative Learning Based on Indigenous Knowledge on Mathematical Problem Solving Skill

Science.gov (United States)

Demitra; Sarjoko

2018-01-01

Indigenous people of Dayak tribe in Kalimantan, Indonesia have traditionally relied on a system of mutual cooperation called "handep." The cultural context has an influence on students mathematics learning. The "handep" system might be suitable for modern learning situations to develop mathematical problem-solving skill. The…

PKC in motorneurons underlies self-learning, a form of motor learning in Drosophila

Directory of Open Access Journals (Sweden)

Julien Colomb

2016-04-01

Full Text Available Tethering a fly for stationary flight allows for exquisite control of its sensory input, such as visual or olfactory stimuli or a punishing infrared laser beam. A torque meter measures the turning attempts of the tethered fly around its vertical body axis. By punishing, say, left turning attempts (in a homogeneous environment, one can train a fly to restrict its behaviour to right turning attempts. It was recently discovered that this form of operant conditioning (called operant self-learning, may constitute a form of motor learning in Drosophila. Previous work had shown that Protein Kinase C (PKC and the transcription factor dFoxP were specifically involved in self-learning, but not in other forms of learning. These molecules are specifically involved in various forms of motor learning in other animals, such as compulsive biting in Aplysia, song-learning in birds, procedural learning in mice or language acquisition in humans. Here we describe our efforts to decipher which PKC gene is involved in self-learning in Drosophila. We also provide evidence that motorneurons may be one part of the neuronal network modified during self-learning experiments. The collected evidence is reminiscent of one of the simplest, clinically relevant forms of motor learning in humans, operant reflex conditioning, which also relies on motorneuron plasticity.

A Social Learning Model of Adolescent Contraceptive Behavior.

Science.gov (United States)

Balassone, Mary Lou

1991-01-01

Research findings and theories regarding adolescent contraceptive use are reviewed to propose an alternative framework relying on social learning theory. Environmental context, cognitive influences, and behavior execution constraints are suggested as the foundation for contraceptive behaviors. The behavioral skills teenagers need to use birth…

Effects of Image-Based and Text-Based Active Learning Exercises on Student Examination Performance in a Musculoskeletal Anatomy Course

Science.gov (United States)

Gross, M. Melissa; Wright, Mary C.; Anderson, Olivia S.

2017-01-01

Research on the benefits of visual learning has relied primarily on lecture-based pedagogy, but the potential benefits of combining active learning strategies with visual and verbal materials on learning anatomy has not yet been explored. In this study, the differential effects of text-based and image-based active learning exercises on examination…

Associative learning in baboons (Papio papio) and humans (Homo sapiens): species differences in learned attention to visual features.

Science.gov (United States)

Fagot, J; Kruschke, J K; Dépy, D; Vauclair, J

1998-10-01

We examined attention shifting in baboons and humans during the learning of visual categories. Within a conditional matching-to-sample task, participants of the two species sequentially learned two two-feature categories which shared a common feature. Results showed that humans encoded both features of the initially learned category, but predominantly only the distinctive feature of the subsequently learned category. Although baboons initially encoded both features of the first category, they ultimately retained only the distinctive features of each category. Empirical data from the two species were analyzed with the 1996 ADIT connectionist model of Kruschke. ADIT fits the baboon data when the attentional shift rate is zero, and the human data when the attentional shift rate is not zero. These empirical and modeling results suggest species differences in learned attention to visual features.

Reward-Guided Learning with and without Causal Attribution

Science.gov (United States)

Jocham, Gerhard; Brodersen, Kay H.; Constantinescu, Alexandra O.; Kahn, Martin C.; Ianni, Angela M.; Walton, Mark E.; Rushworth, Matthew F.S.; Behrens, Timothy E.J.

2016-01-01

Summary When an organism receives a reward, it is crucial to know which of many candidate actions caused this reward. However, recent work suggests that learning is possible even when this most fundamental assumption is not met. We used novel reward-guided learning paradigms in two fMRI studies to show that humans deploy separable learning mechanisms that operate in parallel. While behavior was dominated by precise contingent learning, it also revealed hallmarks of noncontingent learning strategies. These learning mechanisms were separable behaviorally and neurally. Lateral orbitofrontal cortex supported contingent learning and reflected contingencies between outcomes and their causal choices. Amygdala responses around reward times related to statistical patterns of learning. Time-based heuristic mechanisms were related to activity in sensorimotor corticostriatal circuitry. Our data point to the existence of several learning mechanisms in the human brain, of which only one relies on applying known rules about the causal structure of the task. PMID:26971947

Aging and the statistical learning of grammatical form classes.

Science.gov (United States)

Schwab, Jessica F; Schuler, Kathryn D; Stillman, Chelsea M; Newport, Elissa L; Howard, James H; Howard, Darlene V

2016-08-01

Language learners must place unfamiliar words into categories, often with few explicit indicators about when and how that word can be used grammatically. Reeder, Newport, and Aslin (2013) showed that college students can learn grammatical form classes from an artificial language by relying solely on distributional information (i.e., contextual cues in the input). Here, 2 experiments revealed that healthy older adults also show such statistical learning, though they are poorer than young at distinguishing grammatical from ungrammatical strings. This finding expands knowledge of which aspects of learning vary with aging, with potential implications for second language learning in late adulthood. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Does brain creatine content rely on exogenous creatine in healthy youth? A proof-of-principle study.

Science.gov (United States)

Merege-Filho, Carlos Alberto Abujabra; Otaduy, Maria Concepción Garcia; de Sá-Pinto, Ana Lúcia; de Oliveira, Maira Okada; de Souza Gonçalves, Lívia; Hayashi, Ana Paula Tanaka; Roschel, Hamilton; Pereira, Rosa Maria Rodrigues; Silva, Clovis Artur; Brucki, Sonia Maria Dozzi; da Costa Leite, Claudia; Gualano, Bruno

2017-02-01

It has been hypothesized that dietary creatine could influence cognitive performance by increasing brain creatine in developing individuals. This double-blind, randomized, placebo-controlled, proof-of-principle study aimed to investigate the effects of creatine supplementation on cognitive function and brain creatine content in healthy youth. The sample comprised 67 healthy participants aged 10 to 12 years. The participants were given creatine or placebo supplementation for 7 days. At baseline and after the intervention, participants undertook a battery of cognitive tests. In a random subsample of participants, brain creatine content was also assessed in the regions of left dorsolateral prefrontal cortex, left hippocampus, and occipital lobe by proton magnetic resonance spectroscopy (1H-MRS) technique. The scores obtained from verbal learning and executive functions tests did not significantly differ between groups at baseline or after the intervention (all p > 0.05). Creatine content was not significantly different between groups in left dorsolateral prefrontal cortex, left hippocampus, and occipital lobe (all p > 0.05). In conclusion, a 7-day creatine supplementation protocol did not elicit improvements in brain creatine content or cognitive performance in healthy youth, suggesting that this population mainly relies on brain creatine synthesis rather than exogenous creatine intake to maintain brain creatine homeostasis.

Deep Learning for ECG Classification

Science.gov (United States)

Pyakillya, B.; Kazachenko, N.; Mikhailovsky, N.

2017-10-01

The importance of ECG classification is very high now due to many current medical applications where this problem can be stated. Currently, there are many machine learning (ML) solutions which can be used for analyzing and classifying ECG data. However, the main disadvantages of these ML results is use of heuristic hand-crafted or engineered features with shallow feature learning architectures. The problem relies in the possibility not to find most appropriate features which will give high classification accuracy in this ECG problem. One of the proposing solution is to use deep learning architectures where first layers of convolutional neurons behave as feature extractors and in the end some fully-connected (FCN) layers are used for making final decision about ECG classes. In this work the deep learning architecture with 1D convolutional layers and FCN layers for ECG classification is presented and some classification results are showed.

Targeted therapies for diarrhea-predominant irritable bowel syndrome

Science.gov (United States)

Olden, Kevin W

2012-01-01

Irritable bowel syndrome (IBS) causes gastrointestinal symptoms such as abdominal pain, bloating, and bowel pattern abnormalities, which compromise patients’ daily functioning. Common therapies address one or two IBS symptoms, while others offer wider symptom control, presumably by targeting pathophysiologic mechanisms of IBS. The aim of this targeted literature review was to capture clinical trial reports of agents receiving the highest recommendation (Grade 1) for treatment of IBS from the 2009 American College of Gastroenterology IBS Task Force, with an emphasis on diarrhea-predominant IBS. Literature searches in PubMed captured articles detailing randomized placebo-controlled trials in IBS/diarrhea-predominant IBS for agents receiving Grade I (strong) 2009 American College of Gastroenterology IBS Task Force recommendations: tricyclic antidepressants, nonabsorbable antibiotics, and the 5-HT3 receptor antagonist alosetron. Studies specific for constipation-predominant IBS were excluded. Tricyclic antidepressants appear to improve global IBS symptoms but have variable effects on abdominal pain and uncertain tolerability; effects on stool consistency, frequency, and urgency were not adequately assessed. Nonabsorbable antibiotics show positive effects on global symptoms, abdominal pain, bloating, and stool consistency but may be most efficacious in patients with altered intestinal microbiota. Alosetron improves global symptoms and abdominal pain and normalizes bowel irregularities, including stool frequency, consistency, and fecal urgency. Both the nonabsorbable antibiotic rifaximin and the 5-HT3 receptor antagonist alosetron improve quality of life. Targeted therapies provide more complete relief of IBS symptoms than conventional agents. Familiarization with the quantity and quality of evidence of effectiveness can facilitate more individualized treatment plans for patients with this heterogeneous disorder. PMID:22754282

Toward A Dual-Learning Systems Model of Speech Category Learning

Directory of Open Access Journals (Sweden)

Bharath eChandrasekaran

2014-07-01

Full Text Available More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article we describe a neurobiologically-constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. We find an age related deficit in reflective-optimal but not reflexive-optimal auditory category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, uni-dimensional rules to more complex, reflexive, multi-dimensional rules. In a second application we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions.

Social learning of fear and safety is determined by the demonstrator's racial group.

Science.gov (United States)

Golkar, Armita; Castro, Vasco; Olsson, Andreas

2015-01-01

Social learning offers an efficient route through which humans and other animals learn about potential dangers in the environment. Such learning inherently relies on the transmission of social information and should imply selectivity in what to learn from whom. Here, we conducted two observational learning experiments to assess how humans learn about danger and safety from members ('demonstrators') of an other social group than their own. We show that both fear and safety learning from a racial in-group demonstrator was more potent than learning from a racial out-group demonstrator. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Shaping Interpersonal Learning in the Jazz Improvisation Lesson: Observing a Dynamic Systems Approach

Science.gov (United States)

de Bruin, Leon Rene

2018-01-01

Music institutions predominantly utilize the one-to-one lesson in developing and supporting music students' learning of skill and knowledge. This article explores the effect that interpersonal interaction plays in shaping pedagogical applications between teacher and student. Observing the learning of improvisation within this individualized social…

Analysis of Relationship Between Three Dimensions of Quality, User Satisfaction, and E-Learning Usage of Binus Online Learning

OpenAIRE

Yosep, Yosep

2015-01-01

Information technology has  affected  various sectors including the education sector. In the sector, information technology has brought us long distance  education,  which  relies  heavily  on  the  use   of e-learning management system. In Indonesia, Bina Nusantara University is the first and foremost long distance  education  institution.  The  institution  has  been developing and using an e-learning management system for a number of years. This work intends to evaluate to which extent the...

Evolving autonomous learning in cognitive networks.

Science.gov (United States)

Sheneman, Leigh; Hintze, Arend

2017-12-01

There are two common approaches for optimizing the performance of a machine: genetic algorithms and machine learning. A genetic algorithm is applied over many generations whereas machine learning works by applying feedback until the system meets a performance threshold. These methods have been previously combined, particularly in artificial neural networks using an external objective feedback mechanism. We adapt this approach to Markov Brains, which are evolvable networks of probabilistic and deterministic logic gates. Prior to this work MB could only adapt from one generation to the other, so we introduce feedback gates which augment their ability to learn during their lifetime. We show that Markov Brains can incorporate these feedback gates in such a way that they do not rely on an external objective feedback signal, but instead can generate internal feedback that is then used to learn. This results in a more biologically accurate model of the evolution of learning, which will enable us to study the interplay between evolution and learning and could be another step towards autonomously learning machines.

Un premier service mobile en Égypte qui relie les petits exploitants ...

International Development Research Centre (IDRC) Digital Library (Canada)

Un premier service mobile en Égypte qui relie les petits exploitants aux acheteurs. Un homme qui parle sur un téléphone mobile. Les petits exploitants agricoles dominent l'agriculture égyptienne, mais leur manque de connaissances en matière de commercialisation et de compétences techniques, ainsi qu'une mauvaise ...

Immobilization of α-Amylase from Anoxybacillus sp. SK3-4 on ReliZyme and Immobead Supports

Directory of Open Access Journals (Sweden)

Ummirul Mukminin Kahar

2016-09-01

Full Text Available α-Amylase from Anoxybacillus sp. SK3-4 (ASKA is a thermostable enzyme that produces a high level of maltose from starches. A truncated ASKA (TASKA variant with improved expression and purification efficiency was characterized in an earlier study. In this work, TASKA was purified and immobilized through covalent attachment on three epoxide (ReliZyme EP403/M, Immobead IB-150P, and Immobead IB-150A and an amino-epoxide (ReliZyme HFA403/M activated supports. Several parameters affecting immobilization were analyzed, including the pH, temperature, and quantity (mg of enzyme added per gram of support. The influence of the carrier surface properties, pore sizes, and lengths of spacer arms (functional groups on biocatalyst performances were studied. Free and immobilized TASKAs were stable at pH 6.0–9.0 and active at pH 8.0. The enzyme showed optimal activity and considerable stability at 60 °C. Immobilized TASKA retained 50% of its initial activity after 5–12 cycles of reuse. Upon degradation of starches and amylose, only immobilized TASKA on ReliZyme HFA403/M has comparable hydrolytic ability with the free enzyme. To the best of our knowledge, this is the first report of an immobilization study of an α-amylase from Anoxybacillus spp. and the first report of α-amylase immobilization using ReliZyme and Immobeads as supports.

Learning state representation for deep actor-critic control

NARCIS (Netherlands)

Munk, J.; Kober, J.; Babuska, R.; Bullo, Francesco; Prieur, Christophe; Giua, Alessandro

2016-01-01

Deep Neural Networks (DNNs) can be used as function approximators in Reinforcement Learning (RL). One advantage of DNNs is that they can cope with large input dimensions. Instead of relying on feature engineering to lower the input dimension, DNNs can extract the features from raw observations. The

Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education.

Science.gov (United States)

Engels, Paul T; de Gara, Chris

2010-06-30

Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p learning style found in the residents and faculty. The predominant learning styles of the residents and faculty were convergent and accommodative, with no statistically significant differences between the residents and the faculty. We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

Nonrapid Eye Movement-Predominant Obstructive Sleep Apnea: Detection and Mechanism.

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Yamauchi, Motoo; Fujita, Yukio; Kumamoto, Makiko; Yoshikawa, Masanori; Ohnishi, Yoshinobu; Nakano, Hiroshi; Strohl, Kingman P; Kimura, Hiroshi

2015-09-15

Obstructive sleep apnea (OSA) can be severe and present in higher numbers during rapid eye movement (REM) than nonrapid eye movement (NREM) sleep; however, OSA occurs in NREM sleep and can be predominant. In general, ventilation decreases an average 10% to 15% during transition from wakefulness to sleep, and there is variability in just how much ventilation decreases. As dynamic changes in ventilation contribute to irregular breathing and breathing during NREM sleep is mainly under chemical control, our hypothesis is that patients with a more pronounced reduction in ventilation during the transition from wakefulness to NREM sleep will have NREM- predominant rather than REM-predominant OSA. A retrospective analysis of 451 consecutive patients (apnea-hypopnea index [AHI] > 5) undergoing diagnostic polysomnography was performed, and breath-to-breath analysis of the respiratory cycle duration, tidal volume, and estimated minute ventilation before and after sleep onset were examined. Values were calculated using respiratory inductance plethysmography. The correlation between the percent change in estimated minute ventilation during wake-sleep transitions and the percentage of apnea-hypopneas in NREM sleep (%AHI in NREM; defined as (AHI-NREM) / [(AHI-NREM) + (AHI-REM)] × 100) was the primary outcome. The decrease in estimated minute ventilation during wake-sleep transitions was 15.0 ± 16.6% (mean ± standard deviation), due to a decrease in relative tidal volume. This decrease in estimated minute ventilation was significantly correlated with %AHI in NREM (r = -0.222, p sleep contributes to the NREM predominant OSA phenotype via induced ventilatory instability. © 2015 American Academy of Sleep Medicine.

PowerPoint presentation in learning physiology by undergraduates with different learning styles.

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Ankad, Roopa B; Shashikala, G V; Herur, Anita; Manjula, R; Chinagudi, Surekharani; Patil, Shailaja

2015-12-01

PowerPoint presentations (PPTs) have become routine in medical colleges because of their flexible and varied presentation capabilities. Research indicates that students prefer PPTs over the chalk-and-talk method, and there is a lot of debate over advantages and disadvantages of PPTs. However, there is no clear evidence that PPTs improve student learning/performance. Furthermore, there are a variety of learning styles with sex differences in classrooms. It is the responsibility of teacher/facilitator and student to be aware of learning style preferences to improve learning. The present study asked the following research question: do PPTs equally affect the learning of students with different learning styles in a mixed sex classroom? After we assessed students' predominant learning style according to the sensory modality that one most prefers to use when learning, a test was conducted before and after a PPT to assess student performance. The results were analyzed using Student's t-test and ANOVA with a Bonferroni post hoc test. A z-test showed no sex differences in preferred learning styles. There was significant increase in posttest performance compared with that of the pretest in all types of learners of both sexes. There was also a nonsignificant relationship among sex, learning style, and performance after the PPT. A PPT is equally effective for students with different learning style preferences and supports mixed sex classrooms. Copyright © 2015 The American Physiological Society.

What Makes the Learning of Physiology in a PBL Medical Curriculum Challenging? Student Perceptions

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Tufts, Mark A.; Higgins-Opitz, Susan B.

2009-01-01

Physiology is an integral component of any medical curriculum. Traditionally, the learning of physiology has relied heavily on systems-based didactic lectures. In 2001, the Nelson R. Mandela School of Medicine (NRMSM; Durban, South Africa) embarked on a problem-based curriculum in which the learning of physiology was integrated with relevant…

Crossmodal Perceptual Learning and Sensory Substitution

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Michael J Proulx

2011-10-01

Full Text Available A sensory substitution device for blind persons aims to provide the missing visual input by converting images into a form that another modality can perceive, such as sound. Here I will discuss the perceptual learning and attentional mechanisms necessary for interpreting sounds produced by a device (The vOICe in a visuospatial manner. Although some aspects of the conversion, such as relating vertical location to pitch, rely on natural crossmodal mappings, the extensive training required suggests that synthetic mappings are required to generalize perceptual learning to new objects and environments, and ultimately to experience visual qualia. Here I will discuss the effects of the conversion and training on perception and attention that demonstrate the synthetic nature of learning the crossmodal mapping. Sensorimotor experience may be required to facilitate learning, develop expertise, and to develop a form of synthetic synaesthesia.

Comparative cross-sectional study of masticatory performance and mastication predominance for patients with missing posterior teeth.

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Iwashita, Hayato; Tsukiyama, Yoshihiro; Kori, Hidehiro; Kuwatsuru, Rika; Yamasaki, Yo; Koyano, Kiyoshi

2014-10-01

Missing posterior teeth can decrease masticatory function and cause horizontal mastication deviation, i.e., mastication predominance. Mastication predominance may lead to abnormal tooth attrition and temporomandibular disorders. This study evaluated masticatory performance and mastication predominance in patients with missing posterior teeth to investigate effects of missing posterior teeth on masticatory performance and mastication predominance. Thirty volunteers with normal dentition (control group), 30 patients with unilateral missing posterior teeth (unilateral group), and 23 patients with bilateral missing posterior teeth (bilateral group) participated. Gummy jellies were used to evaluate participants' masticatory performance, and electromyography was used to assess the degree of mastication predominance. Chewing gums, gummy jellies, and peanuts were used as foods of various hardnesses for evaluating mastication predominance. Compared with the control group, masticatory performance did not differ in the unilateral group but was significantly decreased in the bilateral group. With chewing gum and gummy jellies, the degree of mastication predominance was significantly increased in both unilateral and bilateral groups than the control group. With peanuts, the degree of mastication predominance was significantly increased in the unilateral group than the control group. Although masticatory performance was not decreased in the unilateral group, the degree of mastication predominance was increased. Decreased masticatory performance was observed in the bilateral group, and for foods with normal hardness and soft foods, the degree of mastication predominance was increased. These results suggested that mastication predominance should be considered in the recovery of masticatory performance in patients with missing posterior teeth. Copyright © 2014 Japan Prosthodontic Society. Published by Elsevier Ltd. All rights reserved.

Mobile learning anytime, anywhere: What are our students doing?

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Angela Murphy

2014-11-01

Full Text Available Recent developments in mobile technologies have provided unique opportunities for learning and teaching. This paper reports on recent research undertaken at a regional Australian university in order to understand how higher education students are using mobile devices to support their learning. A survey instrument was developed and deployed and the data collected analysed quantitatively. Upon analysis, these data demonstrate that students are predominantly using laptop computers to support their learning, but their use of smart phones and tablets are also used for a number of specific learning activities. Further analysis indicates that in spite of the limitations in the formal university infrastructure, many students would like to use their mobile devices for formal learning as well as informal learning.

Tablets for Learning in Higher Education

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Godsk, Mikkel

Based on a small-scale literature review this paper identifies the top 10 affordances of post PC tablets (sometimes referred to as ‘tablet computers’) for higher education in settings where the technology is used for learning. The review shows that the predominant affordances of the technology...... are related to its ability to support engaging, inclusive, and/or collaborative learning, to provide flexibility in place, and to include multimedia and interactive content in teaching practice. However, performing the review also revealed that the notion of tablets for learning is equivocal. As a consequence......, the concepts of tabletcasts and tabletcasting are introduced as one possible framing for future research on tablets as an educational technology....

Perceptual Learning in Early Mathematics: Interacting with Problem Structure Improves Mapping, Solving and Fluency

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Thai, Khanh-Phuong; Son, Ji Y.; Hoffman, Jessica; Devers, Christopher; Kellman, Philip J.

2014-01-01

Mathematics is the study of structure but students think of math as solving problems according to rules. Students can learn procedures, but they often have trouble knowing when to apply learned procedures, especially to problems unlike those they trained with. In this study, the authors rely on the psychological mechanism of perceptual learning…

Neuronal Rac1 is required for learning-evoked neurogenesis

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Haditsch, Ursula; Anderson, Matthew P; Freewoman, Julia

2013-01-01

Hippocampus-dependent learning and memory relies on synaptic plasticity as well as network adaptations provided by the addition of adult-born neurons. We have previously shown that activity-induced intracellular signaling through the Rho family small GTPase Rac1 is necessary in forebrain projection...

Optimal Control via Reinforcement Learning with Symbolic Policy Approximation

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Kubalìk, Jiřì; Alibekov, Eduard; Babuska, R.; Dochain, Denis; Henrion, Didier; Peaucelle, Dimitri

2017-01-01

Model-based reinforcement learning (RL) algorithms can be used to derive optimal control laws for nonlinear dynamic systems. With continuous-valued state and input variables, RL algorithms have to rely on function approximators to represent the value function and policy mappings. This paper

Navigating the changing learning landscape: perspective from bioinformatics.ca.

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Brazas, Michelle D; Ouellette, B F Francis

2013-09-01

With the advent of YouTube channels in bioinformatics, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, the more traditional continuing education bioinformatics training programs have had to adapt. Bioinformatics training programs that solely rely on traditional didactic methods are being superseded by these newer resources. Yet such face-to-face instruction is still invaluable in the learning continuum. Bioinformatics.ca, which hosts the Canadian Bioinformatics Workshops, has blended more traditional learning styles with current online and social learning styles. Here we share our growing experiences over the past 12 years and look toward what the future holds for bioinformatics training programs.

Open questions in the management of nodular lymphocyte predominant hodgkin lymphoma.

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Tyran, Marguerite; Gonzague, Laurence; Bouabdallah, Reda; Resbeut, Michel

2014-01-01

Localized Nodular Lymphocyte Predominant Hodgkin Lymphoma is a rare disease with an overall good prognosis but frequent late relapses. Due to it's rarity there is no standard therapeutic approach and pathological diagnosis may be hard. In this paper we discuss the technical aspects of the radiation therapy and histological issues. The new fields reductions proposed for classical Hodgkin lymphoma cannot be applied to early stages Nodular Lymphocyte Predominant Hodgkin lymphomas which are usually treated with radiation therapy without systemic chemotherapy.

Vicarious neural processing of outcomes during observational learning.

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Elisabetta Monfardini

Full Text Available Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC, the anterior insula and the posterior superior temporal sulcus (pSTS.

Vicarious neural processing of outcomes during observational learning.

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Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss; Brovelli, Andrea; Keysers, Christian; Wicker, Bruno

2013-01-01

Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC), the anterior insula and the posterior superior temporal sulcus (pSTS).

Ditching the Desks: Kinesthetic Learning in College Classrooms

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Mobley, Kayce; Fisher, Sarah

2014-01-01

In this article we argue that social science instructors at all levels should openly embrace kinesthetic learning as an everyday pedagogical tool. The standard model of instruction at the college level relies on lecture, perhaps with special alternative activities (e.g., simulations) scattered throughout each semester. We argue that students…

Improving Information Literacy Skills through Learning to Use and Edit Wikipedia: A Chemistry Perspective

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Walker, Martin A.; Li, Ye

2016-01-01

Our students rely on Wikipedia on their mobile devices or laptops, since it is an extremely rich and broad resource. This article overviews the Chemistry content on Wikipedia and how students can learn to use it effectively as an information resource, critically evaluating content, and learning key information literacy skills. We also discuss how…

Feature Selection and Kernel Learning for Local Learning-Based Clustering.

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Zeng, Hong; Cheung, Yiu-ming

2011-08-01

The performance of the most clustering algorithms highly relies on the representation of data in the input space or the Hilbert space of kernel methods. This paper is to obtain an appropriate data representation through feature selection or kernel learning within the framework of the Local Learning-Based Clustering (LLC) (Wu and Schölkopf 2006) method, which can outperform the global learning-based ones when dealing with the high-dimensional data lying on manifold. Specifically, we associate a weight to each feature or kernel and incorporate it into the built-in regularization of the LLC algorithm to take into account the relevance of each feature or kernel for the clustering. Accordingly, the weights are estimated iteratively in the clustering process. We show that the resulting weighted regularization with an additional constraint on the weights is equivalent to a known sparse-promoting penalty. Hence, the weights of those irrelevant features or kernels can be shrunk toward zero. Extensive experiments show the efficacy of the proposed methods on the benchmark data sets.

Targeted therapies for diarrhea-predominant irritable bowel syndrome

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Olden KW

2012-05-01

Full Text Available Kevin W OldenDepartment of Medicine, St Joseph's Hospital and Medical Center, Phoenix, AZ, USAAbstract: Irritable bowel syndrome (IBS causes gastrointestinal symptoms such as abdominal pain, bloating, and bowel pattern abnormalities, which compromise patients' daily functioning. Common therapies address one or two IBS symptoms, while others offer wider symptom control, presumably by targeting pathophysiologic mechanisms of IBS. The aim of this targeted literature review was to capture clinical trial reports of agents receiving the highest recommendation (Grade 1 for treatment of IBS from the 2009 American College of Gastroenterology IBS Task Force, with an emphasis on diarrhea-predominant IBS. Literature searches in PubMed captured articles detailing randomized placebo-controlled trials in IBS/diarrhea-predominant IBS for agents receiving Grade I (strong 2009 American College of Gastroenterology IBS Task Force recommendations: tricyclic antidepressants, nonabsorbable antibiotics, and the 5-HT3 receptor antagonist alosetron. Studies specific for constipation-predominant IBS were excluded. Tricyclic antidepressants appear to improve global IBS symptoms but have variable effects on abdominal pain and uncertain tolerability; effects on stool consistency, frequency, and urgency were not adequately assessed. Nonabsorbable antibiotics show positive effects on global symptoms, abdominal pain, bloating, and stool consistency but may be most efficacious in patients with altered intestinal microbiota. Alosetron improves global symptoms and abdominal pain and normalizes bowel irregularities, including stool frequency, consistency, and fecal urgency. Both the nonabsorbable antibiotic rifaximin and the 5-HT3 receptor antagonist alosetron improve quality of life. Targeted therapies provide more complete relief of IBS symptoms than conventional agents. Familiarization with the quantity and quality of evidence of effectiveness can facilitate more individualized

Emotional learning and the development of differential moralities: implications from research on psychopathy.

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Blair, R James R; White, Stuart F; Meffert, Harma; Hwang, Soonjo

2013-09-01

In this paper, we will argue that (1) four classes of norm can be distinguished from a neuro-cognitive perspective; (2) learning the prohibitive power of these norms relies on relatively independent emotional systems; (3) individuals with psychopathy show selective impairment for one of these emotional learning systems and two classes of norm: care based and justice based; and (4) while emotional learning systems are necessary for appropriate moral development/reasoning, they are not sufficient for moral development/reasoning.

Chemical Education Research: Improving Chemistry Learning

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Dudley Herron, J.; Nurrenbern, Susan C.

1999-10-01

Chemical education research is the systematic investigation of learning grounded in a theoretical foundation that focuses on understanding and improving learning of chemistry. This article reviews many activities, changes, and accomplishments that have taken place in this area of scholarly activity despite its relatively recent emergence as a research area. The article describes how the two predominant broad perspectives of learning, behaviorism and constructivism, have shaped and influenced chemical education research design, analysis, and interpretation during the 1900s. Selected research studies illustrate the range of research design strategies and results that have contributed to an increased understanding of learning in chemistry. The article also provides a perspective of current and continuing challenges that researchers in this area face as they strive to bridge the gap between chemistry and education - disciplines with differing theoretical bases and research paradigms.

Learning to walk before we run: what can medical education learn from the human body about integrated care?

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Eron G. Manusov

2013-05-01

Full Text Available True integration requires a shift in all levels of medical and allied health education; one that emphasizes team learning, practicing, and evaluating from the beginning of each students' educational experience whether that is as physician, nurse, psychologist, or any other health profession.  Integration of healthcare services will not occur until medical education focuses, like the human body, on each system working inter-dependently and cohesively to maintain balance through continual change and adaptation.  The human body develops and maintains homeostasis by a process of communication: true integrated care relies on learned interprofessionality and ensures shared responsibility and practice.

Learning to walk before we run: what can medical education learn from the human body about integrated care.

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Manusov, Eron G; Marlowe, Daniel P; Teasley, Deborah J

2013-04-01

True integration requires a shift in all levels of medical and allied health education; one that emphasizes team learning, practicing, and evaluating from the beginning of each students' educational experience whether that is as physician, nurse, psychologist, or any other health profession. Integration of healthcare services will not occur until medical education focuses, like the human body, on each system working inter-dependently and cohesively to maintain balance through continual change and adaptation. The human body develops and maintains homeostasis by a process of communication: true integrated care relies on learned interprofessionality and ensures shared responsibility and practice.

Enhanced thyroid iodine metabolism in patients with triiodothyronine-predominant Graves' disease

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Takamatsu, J.; Hosoya, T.; Naito, N.; Yoshimura, H.; Kohno, Y.; Tarutani, O.; Kuma, K.; Sakane, S.; Takeda, K.; Mozai, T.

1988-01-01

Some patients with hyperthyroid Graves' disease have increased serum T3 and normal or even low serum T4 levels during treatment with antithyroid drugs. These patients with elevated serum T3 to T4 ratios rarely have a remission of their hyperthyroidism. The aim of this study was to investigate thyroid iodine metabolism in such patients, whom we termed T3-predominant Graves' disease. Mean thyroid radioactive iodine uptake was 51.0 +/- 18.1% ( +/- SD) at 3 h, and it decreased to 38.9 +/- 20.1% at 24 h in 31 patients with T3-predominant Graves' disease during treatment. It was 20.0 +/- 11.4% at 3 h and increased to 31.9 +/- 16.0% at 24 h in 17 other patients with hyperthyroid Graves' disease who had normal serum T3 and T4 levels and a normal serum T3 to T4 ratio during treatment (control Graves' disease). The activity of serum TSH receptor antibodies was significantly higher in the patients with T3-predominant Graves' disease than in control Graves' disease patients. From in vitro studies of thyroid tissue obtained at surgery, both thyroglobulin content and iodine content in thyroglobulin were significantly lower in patients with T3-predominant Graves' disease than in the control Graves' disease patients. Thyroid peroxidase (TPO) activity determined by a guaiacol assay was 0.411 +/- 0.212 g.u./mg protein in the T3-predominant Graves' disease patients, significantly higher than that in the control Graves' disease patients. Serum TPO autoantibody levels determined by immunoprecipitation also were greater in T3-predominant Graves' disease patients than in control Graves' disease patients. Binding of this antibody to TPO slightly inhibited the enzyme activity of TPO, but this effect of the antibody was similar in the two groups of patients.

Learning styles and approaches to learning among medical undergraduates and postgraduates.

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Samarakoon, Lasitha; Fernando, Tharanga; Rodrigo, Chaturaka

2013-03-25

The challenge of imparting a large amount of knowledge within a limited time period in a way it is retained, remembered and effectively interpreted by a student is considerable. This has resulted in crucial changes in the field of medical education, with a shift from didactic teacher centered and subject based teaching to the use of interactive, problem based, student centered learning. This study tested the hypothesis that learning styles (visual, auditory, read/write and kinesthetic) and approaches to learning (deep, strategic and superficial) differ among first and final year undergraduate medical students, and postgraduates medical trainees. We used self administered VARK and ASSIST questionnaires to assess the differences in learning styles and approaches to learning among medical undergraduates of the University of Colombo and postgraduate trainees of the Postgraduate Institute of Medicine, Colombo. A total of 147 participated: 73 (49.7%) first year students, 40 (27.2%) final year students and 34(23.1%) postgraduate students. The majority (69.9%) of first year students had multimodal learning styles. Among final year students, the majority (67.5%) had multimodal learning styles, and among postgraduates, the majority were unimodal (52.9%) learners.Among all three groups, the predominant approach to learning was strategic. Postgraduates had significant higher mean scores for deep and strategic approaches than first years or final years (p learning approaches suggest a positive shift towards deep and strategic learning in postgraduate students. However a similar difference was not observed in undergraduate students from first year to final year, suggesting that their curriculum may not have influenced learning methodology over a five year period.

Advancing Accounting Research of Teaching Efficacy: Developing a Scale to Measure Student Attitudes toward Active Learning Experiences

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Burney, Laurie; Zascavage, Victoria; Matherly, Michele

2017-01-01

Literature consistently documents a positive, direct effect of students' attitudes on learning (Lizzio, Wilson, & Simons, 2002). Hence, accounting studies describing active learning activities often report student attitudes as evidence of efficacy (e.g., Matherly & Burney, 2013), but rely on single-item instead of multi-item scales. This…

Hereditary motor and sensory neuropathy with proximal predominance (HMSN-P).

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Campellone, Joseph V

2013-06-01

Hereditary motor and sensory neuropathy with proximal predominance (HMSN-P) is a rare disorder inherited in an autosomal dominant fashion. Patients present with slowly progressive proximal-predominant weakness, painful muscle cramps, fasciculations, large-fiber sensory loss, and areflexia. Electrodiagnostic (EDX) studies typically reveal abnormalities consistent with a sensorimotor neuronopathy. A patient with HMSN-P underwent EDX studies, revealing ongoing and chronic neurogenic denervation, motor unit instability, and neuromyotonic discharges, further defining the spectrum of EDX findings in HMSN-P. The clinical, pathological, and genetic features are also reviewed. The appearance of HMSN-P in the United States and elsewhere calls for clinicians in nonendemic regions to be familiar with this rare disorder, which has typically been geographically confined.

Understanding Learning Style Variations among Undergraduate Students

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N. Jayakumar

2017-09-01

Full Text Available A study was conducted in Vellore district of Tamil Nadu state to understand the learning styles of students. The term learning style refers to the way or method or approach by which a student learns. The study explored the possible learning style variations among agricultural, horticultural, engineering and arts & science students and their association with academic achievement. One hundred and twelve students were randomly selected from the four streams and their learning styles were analyzed. In the agricultural and horticultural streams, a majority of the students were auditory learners. They were also found to be predominantly unimodal learners. Overall, it was found that majority of the students were visual learners followed by auditory and kinesthetic style. The highest percentage of kinesthetic learners was found among engineering students. Trimodal learners scored the highest mean percentage of marks. The influence of learning styles on the academic achievements of the students did not show a significant relationship.

Robust Sensing of Approaching Vehicles Relying on Acoustic Cues

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Mitsunori Mizumachi

2014-05-01

Full Text Available The latest developments in automobile design have allowed them to be equipped with various sensing devices. Multiple sensors such as cameras and radar systems can be simultaneously used for active safety systems in order to overcome blind spots of individual sensors. This paper proposes a novel sensing technique for catching up and tracking an approaching vehicle relying on an acoustic cue. First, it is necessary to extract a robust spatial feature from noisy acoustical observations. In this paper, the spatio-temporal gradient method is employed for the feature extraction. Then, the spatial feature is filtered out through sequential state estimation. A particle filter is employed to cope with a highly non-linear problem. Feasibility of the proposed method has been confirmed with real acoustical observations, which are obtained by microphones outside a cruising vehicle.

The neurobiology of safety and threat learning in infancy.

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Debiec, Jacek; Sullivan, Regina M

2017-09-01

What an animal needs to learn to survive is altered dramatically as they change from dependence on the parent for protection to independence and reliance on self-defense. This transition occurs in most altricial animals, but our understanding of the behavioral neurobiology has mostly relied on the infant rat. The transformation from dependence to independence occurs over three weeks in pups and is accompanied by complex changes in responses to both natural and learned threats and the supporting neural circuitry. Overall, in early life, the threat system is quiescent and learning is biased towards acquiring attachment related behaviors to support attachment to the caregiver and proximity seeking. Caregiver-associated cues learned in infancy have the ability to provide a sense of safety throughout lifetime. This attachment/safety system is activated by learning involving presumably pleasurable stimuli (food, warmth) but also painful stimuli (tailpinch, moderate shock). At about the midway point to independence, pups begin to have access to the adult-like amygdala-dependent threat system and amygdala-dependent responses to natural dangers such as predator odors. However, pups have the ability to switch between the infant and adult-like system, which is controlled by maternal presence and modification of stress hormones. Specifically, if the pup is alone, it will learn fear but if with the mother it will learn attachment (10-15days of age). As pups begin to approach weaning, pups lose access to the attachment system and rely only on the amygdala-dependent threat system. However, pups learning system is complex and exhibits flexibility that enables the mother to override the control of the attachment circuit, since newborn pups may acquire threat responses from the mother expressing fear in their presence. Together, these data suggest that the development of pups' threat learning system is not only dependent upon maturation of the amygdala, but it is also exquisitely

Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

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Punnoose, Alfie Chacko

2012-01-01

The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…

Kinesthetic Learning Style Preferences: A Survey of Indonesian EFL Learners by Gender

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Peptia Asrining Tyas

2017-04-01

Full Text Available This study investigated predominant learning style of 3rd semester students of English Language Education Program in Faculty of Cultural Studies at Universitas Brawijaya according to gender. Purposive sampling was used for this research and the sampling in this research was 100 students consist of 34 male students and 66 female students taken from 3rd semester English Department students of Faculty of Cultural Studies at Universitas Brawijaya. All participants were administered an Indonesian translated version of Reid’s (1984 Perceptual Learning Style Preference Questionnaire consisting of Visual, Auditory, Kinesthetic, Tactile, Group, and Individual, included 30 items. This study used quantitative survey design and Microsoft Excel 2007 as the analysis software. The validity and the reliability of this research were calculated by SPSS v.21. The result indicated that predominant male’s learning style was Kinesthetic and estimated by 14 male students (41% while female students become Kinesthetic and Group and estimated the same percentage, 21 students (332% for Kinesthetic and 21 (32% students for Group. The result of the study also shows that both male and female tend to be Kinesthetic. It is suggested that to the English department to adjust the academic activities with the learning styles to enhance educational achievement and encouraging students take responsibility in their whole learning.

Effect of lesion site on serial position during list learning: a study with the CVLT.

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Albuquerque, Luisa; Loureiro, Clara; Martins, Isabel Pavao

2008-07-01

Successful learning of supraspan word lists such as the California Verbal Learning Test (CVLT) relies more on clustering strategies than rote learning, subserved by the frontal and temporal lobes. The authors studied the effect of word sequence in CVLT learning, in 15 patients with frontal (FLL) and 15 temporal (TLL) lesions, and 33 controls. Experimental measures were: number of clusters, number of first (FI), middle (MI) and last items (LI), in learning trials and in total immediate recall. FLL disclosed significantly lower FI along learning. Clusters were similar among groups. This difficulty is discussed according to the role of frontal lobes in learning and memory.

Team-based learning and ethics education in nursing.

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Hickman, Susan E; Wocial, Lucia D

2013-12-01

This report describes the use of team-based learning concepts in an undergraduate nursing applied ethics course using established reporting guidelines. Team-based learning relies on actively engaging students in the learning process through small-group activities that facilitate the development of skills, including concept analysis, critical thinking, and problem solving. Students are divided into teams of five to seven members who collaborate throughout the semester to work through activities that build on ethics concepts introduced through reading and lectures. Nurse educators are challenged to develop educational approaches that will engage students and help them to apply what they learn from the study of ethics to the lived experience of clinical practice. The ultimate goal is to help students to develop into morally sensitive and competent professionals. Team-based learning represents a novel way to teach these skills to undergraduate nursing students. Copyright 2013, SLACK Incorporated.

Knowledge models as agents of meaninful learning and knowledge creation.

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Fermín María González García; Jorge Fernando Veloz Ortiz; Iovanna Alejandra Rodríguez Moreno; Luis Efrén Velos Ortiz; Beatriz Guardián Soto; Antoni Ballester Valori

2013-01-01

The educational change that pushes the current context requires a shift in the unfortunately predominant positivist-behaviourist model that favours mechanical      memoristic learning, ideal breeding ground for the existence and maintenance of conceptual errors, to another cognitive-constructivist that stimulates meaningful learning to allow students to build and master knowledge, therefore to be more creative and critical. We present here a model of knowledge where students construct new...

Educators' Experiences of Inclusive Learning Contexts: An Exploration of Competencies

Science.gov (United States)

Magare, Ishmael; Kitching, Ansie Elizabeth; Roos, Vera

2010-01-01

The successful implementation of inclusive education relies heavily on educators. Inclusive education is based on values such as human dignity, equality, human rights and freedom. The complexity of the interactive relationships between different systems, such as learners, educators, families, schools and the learning context, was recognised in…

Narrative, Machinima and Cognitive Realism: Constructing an Authentic Real-World Learning Experience for Law Students

Science.gov (United States)

Matthew, Anne; Butler, Des

2017-01-01

In Australian law schools didactic pedagogies such as lectures devoted to the transmission of theory and knowledge to a largely passive audience still predominate. However, curriculum design embedding authentic learning pedagogies has been shown to be supportive of student learning. The challenge in adopting such curriculum design is how to offer…

Are we ready for blended learning in medical education?

Directory of Open Access Journals (Sweden)

Aneesh Basheer

2016-10-01

Full Text Available Blended learning has other indirect positive effects as well. One innovative byproduct of blended learning is the flipped classroom; the sequence of events customary to the traditional classroom teaching are reversed.2 Traditional learning starts with the teacher providing a predominant cognitive (knowledge component and requires the students to follow it up with self-study and expansion of knowledge leading to higher levels of learning. The teacher plays the role of subject expert in general. In contrast, the learning material or at least a major part of it is provided to students before the scheduled class. The teacher uses the face to face session to engage students in interactive discussions, group tasks and other activities. This also has the advantage of making the learning process active, learner-centered and more retentive, reducing distraction and promoting higher levels of learning.3,4 Moreover, there is enough data to indicate that students are highly satisfied with the blended learning experience, particularly flipped classrooms.

Learning Styles of Pilots Currently Qualified in United States Air Force Aircraft

Science.gov (United States)

Kanske, Craig A.

2001-01-01

Kolb's Learning Style Inventory was used to identify the predominant learning styles of pilots currently qualified in United States Air Force aircraft. The results indicate that these pilots show a significant preference for facts and things over people and feelings. By understanding the preferred learning styles of the target population, course material can be developed that take advantage of the strengths of these learning styles. This information can be especially useful in the future design of cockpit resource management training. The training program can be developed to demonstrate both that there are different learning styles and that it is possible to take advantage of the relative strengths of each of these learning styles.

IMPLEMENTATION OF TECHNOLOGY ENHANCED LEARNING PEDAGOGY AND IMPACT ON EMPLOYABILITY AND LEARNING WITHIN ENGINEERING EDUCATION FRAMEWORKS

OpenAIRE

Vickerstaff, Rebecca

2015-01-01

Engineering Education experiences turbulent changes, both from government pressures and from industry demands on readdressing the requirements of graduate capability. Despite vast amounts of engineering literature discussing ‘change’ within the field, engineering curricula still maintains its predominant pedagogic model of dissemination to students as it did in previous decades. Technology Enhanced Learning in education has created new and flexible options in the delivery and assessmen...

Machine learning a Bayesian and optimization perspective

CERN Document Server

Theodoridis, Sergios

2015-01-01

This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches, which rely on optimization techniques, as well as Bayesian inference, which is based on a hierarchy of probabilistic models. The book presents the major machine learning methods as they have been developed in different disciplines, such as statistics, statistical and adaptive signal processing and computer science. Focusing on the physical reasoning behind the mathematics, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts. The book builds carefully from the basic classical methods to the most recent trends, with chapters written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as shor...

Reinforcement Learning in Repeated Portfolio Decisions

OpenAIRE

Diao, Linan; Rieskamp, Jörg

2011-01-01

How do people make investment decisions when they receive outcome feedback? We examined how well the standard mean-variance model and two reinforcement models predict people's portfolio decisions. The basic reinforcement model predicts a learning process that relies solely on the portfolio's overall return, whereas the proposed extended reinforcement model also takes the risk and covariance of the investments into account. The experimental results illustrate that people reacted sensitively to...

Fast distributed strategic learning for global optima in queueing access games

KAUST Repository

Tembine, Hamidou

2014-08-24

In this paper we examine combined fully distributed payoff and strategy learning (CODIPAS) in a queue-aware access game over a graph. The classical strategic learning analysis relies on vanishing or small learning rate and uses stochastic approximation tool to derive steady states and invariant sets of the underlying learning process. Here, the stochastic approximation framework does not apply due to non-vanishing learning rate. We propose a direct proof of convergence of the process. Interestingly, the convergence time to one of the global optima is almost surely finite and we explicitly characterize the convergence time. We show that pursuit-based CODIPAS learning is much faster than the classical learning algorithms in games. We extend the methodology to coalitional learning and proves a very fast formation of coalitions for queue-aware access games where the action space is dynamically changing depending on the location of the user over a graph.

Event recognition in personal photo collections via multiple instance learning-based classification of multiple images

Science.gov (United States)

Ahmad, Kashif; Conci, Nicola; Boato, Giulia; De Natale, Francesco G. B.

2017-11-01

Over the last few years, a rapid growth has been witnessed in the number of digital photos produced per year. This rapid process poses challenges in the organization and management of multimedia collections, and one viable solution consists of arranging the media on the basis of the underlying events. However, album-level annotation and the presence of irrelevant pictures in photo collections make event-based organization of personal photo albums a more challenging task. To tackle these challenges, in contrast to conventional approaches relying on supervised learning, we propose a pipeline for event recognition in personal photo collections relying on a multiple instance-learning (MIL) strategy. MIL is a modified form of supervised learning and fits well for such applications with weakly labeled data. The experimental evaluation of the proposed approach is carried out on two large-scale datasets including a self-collected and a benchmark dataset. On both, our approach significantly outperforms the existing state-of-the-art.

A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning

OpenAIRE

Balavivekanandhan, A.; Arulchelvan, S.

2015-01-01

The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learni...

Identification of predominant aroma components of raw, dry roasted and oil roasted almonds.

Science.gov (United States)

Erten, Edibe S; Cadwallader, Keith R

2017-02-15

Volatile components of raw, dry roasted and oil roasted almonds were isolated by solvent extraction/solvent-assisted flavor evaporation and predominant aroma compounds identified by gas chromatography-olfactometry (GCO) and aroma extract dilutions analysis (AEDA). Selected odorants were quantitated by GC-mass spectrometry and odor-activity values (OAVs) determined. Results of AEDA indicated that 1-octen-3-one and acetic acid were important aroma compounds in raw almonds. Those predominant in dry roasted almonds were methional, 2- and 3-methylbutanal, 2-acetyl-1-pyrroline and 2,3-pentanedione; whereas, in oil roasted almonds 4-hydroxy-2,5-dimethyl-3(2H)-furanone, 2,3-pentanedione, methional and 2-acetyl-1-pyrroline were the predominant aroma compounds. Overall, oil roasted almonds contained a greater number and higher abundance of aroma compounds than either raw or dry roasted almonds. The results of this study demonstrate the importance of lipid-derived volatile compounds in raw almond aroma. Meanwhile, in dry and oil roasted almonds, the predominant aroma compounds were derived via the Maillard reaction, lipid degradation/oxidation and sugar degradation. Copyright © 2016 Elsevier Ltd. All rights reserved.

Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning Groups

OpenAIRE

Calacci, Dan; Lederman, Oren; Shrier, David; Pentland, Alex 'Sandy'

2016-01-01

We present Breakout, a group interaction platform for online courses that enables the creation and measurement of face-to-face peer learning groups in online settings. Breakout is designed to help students easily engage in synchronous, video breakout session based peer learning in settings that otherwise force students to rely on asynchronous text-based communication. The platform also offers data collection and intervention tools for studying the communication patterns inherent in online lea...

Organizational Learning in Schools under Sanction

Directory of Open Access Journals (Sweden)

Kara S. Finnigan

2012-01-01

Full Text Available The focus on “school turnaround” has become central to policy and practice in the United States as a result of school accountability, yet little remains known about school improvement under sanction. This study uses theories of organizational learning to understand the processes through which educators search for and adopt reform strategies, as well as the extent to which these schools’ organizational culture and climate are conducive to this type of learning. Our mixed methods study involves document analysis, intensive case studies, and a survey of teachers in schools under sanction in a large urban school district in the USA. We found limited evidence of organizational learning, and instead evidence suggested superficial use of restructuring planning, rare diagnoses of root causes of low performance, and limited engagement in learning processes of school staff. In addition, schools relied on exploitation resulting in the recycling of previous practices. In part, the limited organizational learning in evidence was the result of structures and climates within these low-performing schools that inhibited a more learning-oriented approach to reform. Our study has implications for school improvement under accountability policies as it uncovers important challenges that limit organizational learning and, as a result, school improvement under sanction.

DESIGNING ENGLISH LEARNING MATERIALS TO FOSTER CHILDREN‟S CREATIVITY

Directory of Open Access Journals (Sweden)

C. Murni Wahyanti

2017-04-01

Full Text Available Learning materials form an important part of English teaching-learning processes in Elementary schools. In many cases, teachers and students rely on the learning materials available and the materials dictate teachers‘ strategies. Despite the availability of commercially produced materials, it is considered necessary for teachers to construct or adapt learning materials. Teachers know better about their students‘ ability, needs and interests. In addition, the materials can be more contextual. Good materials should foster children‘s creative thinking since creativity is one of the important skills children need to develop. Features of creativity involve using imagination, generating ideas and questions, experimenting with alternatives, being original and making judgment. This presentation will focus on how to develop learning materials that can foster children‘s creativity. It will discuss about why teachers need to design their own materials, principles for designing effective English learning materials, the concepts and components of creativity and the importance of creativity in language learning. Examples of how to apply features of creativity in the English learning materials for children will be provided.

Communication Apprehension among Black Students on Predominantly White Campuses.

Science.gov (United States)

Byrd, Marquita L.; Sims, Anntarie L.

1987-01-01

A study of 114 Black undergraduates in two predominantly White midwestern universities demonstrates that communication apprehension (CA) among Blacks appears to be an audience-based phenomenon. Black females scored lower than Black males on the Personal Report of Communication Apprehension-24 (PRCA-24). The higher the CA score, the higher the…

Tablets for Learning in Higher Education:The Top 10 Affordances

OpenAIRE

Godsk, Mikkel

2013-01-01

Based on a small-scale literature review this paper identifies the top 10 affordances of post PC tablets (sometimes referred to as ‘tablet computers’) for higher education in settings where the technology is used for learning. The review shows that the predominant affordances of the technology are related to its ability to support engaging, inclusive, and/or collaborative learning, to provide flexibility in place, and to include multimedia and interactive content in teaching practice. However...

Emotion-based learning systems and the development of morality.

Science.gov (United States)

Blair, R J R

2017-10-01

In this paper it is proposed that important components of moral development and moral judgment rely on two forms of emotional learning: stimulus-reinforcement and response-outcome learning. Data in support of this position will be primarily drawn from work with individuals with the developmental condition of psychopathy as well as fMRI studies with healthy individuals. Individuals with psychopathy show impairment on moral judgment tasks and a pronounced increased risk for instrumental antisocial behavior. It will be argued that these impairments are developmental consequences of impaired stimulus-aversive conditioning on the basis of distress cue reinforcers and response-outcome learning in individuals with this disorder. Copyright © 2017. Published by Elsevier B.V.

Invitro genotoxicity, assessment of cytotoxicity and of Rely X luting cement on human lymphocyte cells before and after irradiation

International Nuclear Information System (INIS)

Shetty, Shilpa S.; Hegde, Mithra N.; Shabin; Hegde, Nidarsh D.; Suchetha Kumari; Sanjeev, Ganesh

2013-01-01

In dentistry, a luting agent is a viscous material placed between tooth structure and a prosthesis that by polymerization firmly attach the prosthesis to the tooth structure. Luting agents contact a large area of dentin when used for crown cementation. There is little information on biocompatibility tests, especially on the effect of electron beam irradiation on cytotoxicity for luting resin cements. To determine the in vitro cytotoxicity and genotoxicity of Rely X luting cement on human lymphocyte cells before and after irradiation. Rely X luting cement was obtained commercially. Samples were prepared as per the ISO standard size of 25x2x2 mm using polytetrafluoroethylene teflon mould and divided into two groups - non irradiated and irradiated groups. The samples in irradiated category were exposed to 200 Gy of electron beam irradiation at Microtron Centre, Mangalore University, Mangalore, India. For hemolysis the samples were immersed in phosphate buffer saline and incubated at 370℃ for 24 hrs, 7 days and 14 days. 200 μl of 24 hr material extract was mixed with human peripheral blood lymphocyte tested for comet assay by single cell DNA comet assay. Hemolytic activity of non irradiated Rely X luting cement after 24 hrs, 7 days and 14 days was 54.78±1.48, 69.91±2.41 and 43.21±0.92 respectively whereas hemolytic activity of irradiated Rely X luting cement after 24 hrs, 7 days and 14 days was 91.8±8.29, 56.95±19.7 and 41.34±12.30. The irradiation of Rely X luting cement with 200 Gy dose of electron beam irradiation caused an increase in the frequency of DNA damage when compared to that of the non-irradiated group. Based on the experimental condition, it is concluded that incomplete polymerization of the dental luting cements has resulted in the elution of the resin components which are responsible for the cytotoxicity and genotoxicity of Rely X luting cement on human lymphocyte cells. (author)

Modeling of Students' Profile and Learning Chronicle with Data Cubes

Science.gov (United States)

Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E.

2014-01-01

Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Science.gov (United States)

Akkus, Zeynettin; Galimzianova, Alfiia; Hoogi, Assaf; Rubin, Daniel L; Erickson, Bradley J

2017-08-01

Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their self-learning and generalization ability over large amounts of data. As the deep learning architectures are becoming more mature, they gradually outperform previous state-of-the-art classical machine learning algorithms. This review aims to provide an overview of current deep learning-based segmentation approaches for quantitative brain MRI. First we review the current deep learning architectures used for segmentation of anatomical brain structures and brain lesions. Next, the performance, speed, and properties of deep learning approaches are summarized and discussed. Finally, we provide a critical assessment of the current state and identify likely future developments and trends.

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics.

Science.gov (United States)

Ludolph, Nicolas; Giese, Martin A; Ilg, Winfried

2017-10-16

There is increasing evidence that sensorimotor learning under real-life conditions relies on a composition of several learning processes. Nevertheless, most studies examine learning behaviour in relation to one specific learning mechanism. In this study, we examined the interaction between reward-based skill acquisition and motor adaptation to changes of object dynamics. Thirty healthy subjects, split into two groups, acquired the skill of balancing a pole on a cart in virtual reality. In one group, we gradually increased the gravity, making the task easier in the beginning and more difficult towards the end. In the second group, subjects had to acquire the skill on the maximum, most difficult gravity level. We hypothesized that the gradual increase in gravity during skill acquisition supports learning despite the necessary adjustments to changes in cart-pole dynamics. We found that the gradual group benefits from the slow increment, although overall improvement was interrupted by the changes in gravity and resulting system dynamics, which caused short-term degradations in performance and timing of actions. In conclusion, our results deliver evidence for an interaction of reward-based skill acquisition and motor adaptation processes, which indicates the importance of both processes for the development of optimized skill acquisition schedules.

E-learning for medical education: reflections of learners on patients.

Science.gov (United States)

Walsh, Kieran

2018-01-01

There is a growing research interest in how healthcare professionals learn online. This paper reports an analysis of reflections that relate to patients from users of an e-learning resource, BMJ Learning. Healthcare professionals who use BMJ Learning are encouraged to reflect on their learning. Over one year, all of the learners' reflections that related to patients were captured by the programme's software and were analysed using thematic analysis. A number of key themes emerged from this analysis: many learners reflected on patients in the context of their disease; many learners reflected on how they had put their learning into action or planned to put their learning into action for the benefit of patients; many learners reflected on how they would pass on what they had learned to patients; learners greatly appreciated patients contributing to the learning. Learners predominantly reflect about patients in the context of their disease. The reflections demonstrate that learners are keen to put their learning into action for the benefit of their patients. Learners' reflections show a keen interest in the patient-centredness of the learning resources.

The Soul of Leadership: African American Students' Experiences in Historically Black and Predominantly White Organizations

Science.gov (United States)

Hotchkins, Bryan K.

2013-01-01

This study addresses African American students' leadership experiences at predominantly White institutions. Findings indicated participants utilized servant leadership in historically Black organizations and transformational leadership in predominantly White organizations. The differences displayed showed that participants' leadership perceptions…

Learning Building Layouts with Non-geometric Visual Information: The Effects of Visual Impairment and Age

Science.gov (United States)

Kalia, Amy A.; Legge, Gordon E.; Giudice, Nicholas A.

2009-01-01

Previous studies suggest that humans rely on geometric visual information (hallway structure) rather than non-geometric visual information (e.g., doors, signs and lighting) for acquiring cognitive maps of novel indoor layouts. This study asked whether visual impairment and age affect reliance on non-geometric visual information for layout learning. We tested three groups of participants—younger (sighted, older (50–70 years) normally sighted, and low vision (people with heterogeneous forms of visual impairment ranging in age from 18–67). Participants learned target locations in building layouts using four presentation modes: a desktop virtual environment (VE) displaying only geometric cues (Sparse VE), a VE displaying both geometric and non-geometric cues (Photorealistic VE), a Map, and a Real building. Layout knowledge was assessed by map drawing and by asking participants to walk to specified targets in the real space. Results indicate that low-vision and older normally-sighted participants relied on additional non-geometric information to accurately learn layouts. In conclusion, visual impairment and age may result in reduced perceptual and/or memory processing that makes it difficult to learn layouts without non-geometric visual information. PMID:19189732

e-Learning initiatives to support prescribing

Science.gov (United States)

Maxwell, Simon; Mucklow, John

2012-01-01

Preparing medical students to prescribe is a major challenge of undergraduate education. They must develop an understanding of clinical pharmacology and acquire knowledge about drugs and therapeutics, as well as the skills to prescribe for individual patients in the face of multiple variables. The task of delivering the learning required to achieve these attributes relies upon limited numbers of teachers, who have increasingly busy clinical commitments. There is evidence that training is currently insufficient to meet the demands of the workplace. e-Learning provides an opportunity to improve the learning experience. The advantages for teachers are improved distribution of learning content, ease of update, standardization and tracking of learner activities. The advantages for learners are ease of access, greater interactivity and individual choice concerning the pace and mix of learning. Important disadvantages are the considerable resource required to develop e-Learning projects and difficulties in simulating some aspects of the real world prescribing experience. Pre-requisites for developing an e-Learning programme to support prescribing include academic expertise, institutional support, learning technology services and an effective virtual learning environment. e-Learning content might range from complex interactive learning sessions through to static web pages with links. It is now possible to simulate and provide feedback on prescribing decisions and this will improve with advances in virtual reality. Other content might include a student formulary, self-assessment exercises (e.g. calculations), a glossary and an on-line library. There is some evidence for the effectiveness of e-Learning but better research is required into its potential impact on prescribing. PMID:22509885

The Integration of Realistic Episodic Memories Relies on Different Working Memory Processes: Evidence from Virtual Navigation

Directory of Open Access Journals (Sweden)

Gaën Plancher

2018-01-01

Full Text Available Memory is one of the most important cognitive functions in a person’s life as it is essential for recalling personal memories and performing many everyday tasks. Although a huge number of studies have been conducted in the field, only a few of them investigated memory in realistic situations, due to methodological issues. The various tools that have been developed using virtual environments (VEs have gained popularity in cognitive psychology and neuropsychology because they enable to create naturalistic and controlled situations, and are thus particularly adapted to the study of episodic memory (EM, for which an ecological evaluation is of prime importance. EM is the conscious recollection of personal events combined with their phenomenological and spatiotemporal encoding contexts. Using an original paradigm in a VE, the objective of the present study was to characterize the construction of episodic memories. While the concept of working memory has become central in the understanding of a wide range of cognitive functions, its role in the integration of episodic memories has seldom been assessed in an ecological context. This experiment aimed at filling this gap by studying how EM is affected by concurrent tasks requiring working memory resources in a realistic situation. Participants navigated in a virtual town and had to memorize as many elements in their spatiotemporal context as they could. During learning, participants had either to perform a concurrent task meant to prevent maintenance through the phonological loop, or a task aimed at preventing maintenance through the visuospatial sketchpad, or no concurrent task. EM was assessed in a recall test performed after learning through various scores measuring the what, where and when of the memories. Results showed that, compared to the control condition with no concurrent task, the prevention of maintenance through the phonological loop had a deleterious impact only on the encoding of

The Integration of Realistic Episodic Memories Relies on Different Working Memory Processes: Evidence from Virtual Navigation.

Science.gov (United States)

Plancher, Gaën; Gyselinck, Valérie; Piolino, Pascale

2018-01-01

Memory is one of the most important cognitive functions in a person's life as it is essential for recalling personal memories and performing many everyday tasks. Although a huge number of studies have been conducted in the field, only a few of them investigated memory in realistic situations, due to methodological issues. The various tools that have been developed using virtual environments (VEs) have gained popularity in cognitive psychology and neuropsychology because they enable to create naturalistic and controlled situations, and are thus particularly adapted to the study of episodic memory (EM), for which an ecological evaluation is of prime importance. EM is the conscious recollection of personal events combined with their phenomenological and spatiotemporal encoding contexts. Using an original paradigm in a VE, the objective of the present study was to characterize the construction of episodic memories. While the concept of working memory has become central in the understanding of a wide range of cognitive functions, its role in the integration of episodic memories has seldom been assessed in an ecological context. This experiment aimed at filling this gap by studying how EM is affected by concurrent tasks requiring working memory resources in a realistic situation. Participants navigated in a virtual town and had to memorize as many elements in their spatiotemporal context as they could. During learning, participants had either to perform a concurrent task meant to prevent maintenance through the phonological loop, or a task aimed at preventing maintenance through the visuospatial sketchpad, or no concurrent task. EM was assessed in a recall test performed after learning through various scores measuring the what, where and when of the memories. Results showed that, compared to the control condition with no concurrent task, the prevention of maintenance through the phonological loop had a deleterious impact only on the encoding of central elements. By

Lymphocyte-predominant Hodgkin disease: a comprehensive overview.

Science.gov (United States)

Bose, Sumit; Ganesan, Chitra; Pant, Manish; Lai, Catherine; Tabbara, Imad A

2013-02-01

Lymphocyte-predominant Hodgkin disease is a rare form of Hodgkin lymphoma that is recognized as a separate histopathological entity. This disease tends to have multiple relapses, but has an overall good prognosis. Owing to its rarity, and the prolonged time period between recurrence and transformation events, there is no consensus regarding optimal management. However, the National Comprehensive Cancer Network guidelines indicate that for early stages, appropriate treatment is radiotherapy. Several management options have been reported including observation, radiation, chemotherapy, combined chemoradiotherapy, and anti-CD20 antibody therapy. Salvage therapy remains effective in inducing prolonged remission in patients with relapsed/refractory disease.

Cortical control of object-specific grasp relies on adjustments of both activity and effective connectivity

DEFF Research Database (Denmark)

Tia, Banty; Takemi, Mitsuaki; Kosugi, Akito

2017-01-01

The cortical mechanisms of grasping have been extensively studied in macaques and humans. Here, we investigated whether common marmosets could rely on similar mechanisms despite striking differences in manual dexterity. Two common marmosets were trained to grasp-and-pull three objects eliciting d...

Voice over Internet Protocol (VoIP) Technology as a Global Learning Tool: Information Systems Success and Control Belief Perspectives

Science.gov (United States)

Chen, Charlie C.; Vannoy, Sandra

2013-01-01

Voice over Internet Protocol- (VoIP) enabled online learning service providers struggling with high attrition rates and low customer loyalty issues despite VoIP's high degree of system fit for online global learning applications. Effective solutions to this prevalent problem rely on the understanding of system quality, information quality, and…

Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines

Science.gov (United States)

Pattanasri, N.; Mukunoki, M.; Minoh, M.

2012-01-01

Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide…

Motivation for Lifelong Learning: A Biographical Account of Efficacy and Control

Science.gov (United States)

Martin, Graeme

2012-01-01

Research on motivation for learning (or achievement motivation) has flourished in the past 30 years. Social-cognitive theories dominate the field and have provided many insights, but have been criticised for relying on a traditional methodological base and lacking contextualisation and embeddedness in individual experience. In the current…

Feedback-related brain activity predicts learning from feedback in multiple-choice testing.

Science.gov (United States)

Ernst, Benjamin; Steinhauser, Marco

2012-06-01

Different event-related potentials (ERPs) have been shown to correlate with learning from feedback in decision-making tasks and with learning in explicit memory tasks. In the present study, we investigated which ERPs predict learning from corrective feedback in a multiple-choice test, which combines elements from both paradigms. Participants worked through sets of multiple-choice items of a Swahili-German vocabulary task. Whereas the initial presentation of an item required the participants to guess the answer, corrective feedback could be used to learn the correct response. Initial analyses revealed that corrective feedback elicited components related to reinforcement learning (FRN), as well as to explicit memory processing (P300) and attention (early frontal positivity). However, only the P300 and early frontal positivity were positively correlated with successful learning from corrective feedback, whereas the FRN was even larger when learning failed. These results suggest that learning from corrective feedback crucially relies on explicit memory processing and attentional orienting to corrective feedback, rather than on reinforcement learning.

Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding.

Science.gov (United States)

Gardner, Brian; Grüning, André

2016-01-01

Precise spike timing as a means to encode information in neural networks is biologically supported, and is advantageous over frequency-based codes by processing input features on a much shorter time-scale. For these reasons, much recent attention has been focused on the development of supervised learning rules for spiking neural networks that utilise a temporal coding scheme. However, despite significant progress in this area, there still lack rules that have a theoretical basis, and yet can be considered biologically relevant. Here we examine the general conditions under which synaptic plasticity most effectively takes place to support the supervised learning of a precise temporal code. As part of our analysis we examine two spike-based learning methods: one of which relies on an instantaneous error signal to modify synaptic weights in a network (INST rule), and the other one relying on a filtered error signal for smoother synaptic weight modifications (FILT rule). We test the accuracy of the solutions provided by each rule with respect to their temporal encoding precision, and then measure the maximum number of input patterns they can learn to memorise using the precise timings of individual spikes as an indication of their storage capacity. Our results demonstrate the high performance of the FILT rule in most cases, underpinned by the rule's error-filtering mechanism, which is predicted to provide smooth convergence towards a desired solution during learning. We also find the FILT rule to be most efficient at performing input pattern memorisations, and most noticeably when patterns are identified using spikes with sub-millisecond temporal precision. In comparison with existing work, we determine the performance of the FILT rule to be consistent with that of the highly efficient E-learning Chronotron rule, but with the distinct advantage that our FILT rule is also implementable as an online method for increased biological realism.

OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support

Science.gov (United States)

Pedrazzoli, Attilio

2010-06-01

AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.

Theorising Learning and Nature: Post-Human Possibilities and Problems

Science.gov (United States)

Quinn, Jocey

2013-01-01

In their predominantly theoretical turn to the material, post-humanist feminists often focus on "nature", arguing that the nature/culture binary has collapsed and that fixed distinctions between human and non-human spheres no longer hold. Conversely, outdoor learning sees nature as a space where humans act and has been more concerned…

Reliģijas, apmierinātības ar dzīvi un pašvērtējuma saistība.

OpenAIRE

Bērziņa, Annija

2015-01-01

Šī darba mērķis ir noskaidrot saistību starp reliģiju, apmierinātību ar dzīvi un pašvērtējumu. Apmierinātība ar dzīvi sevī ietver laimi, subjektīvo labklājību un pozitīvas emocijas. Šī darba ietvaros vairāk tiks apskatīta subjektīvā labklājība. Reliģija ir ticība kam mistiskam , kas sevī ietver reliģisku normu ievērošanu, rituālus, ticību un būšanu reliģiskā kopienā. Starp subjektīvo labklājību un reliģiju pastāv pozitīva korelācija. Pašvērtējums ir cilvēka subjektīvs viedoklis par...

Predominant CD4 T-lymphocyte tropism of human herpesvirus 6-related virus.

OpenAIRE

Takahashi, K; Sonoda, S; Higashi, K; Kondo, T; Takahashi, H; Takahashi, M; Yamanishi, K

1989-01-01

Human herpesvirus 6 (HHV-6)-related virus was isolated from CD4+ CD8- and CD3+ CD4+ mature T lymphocytes but could not be isolated from CD4- CD8+, CD4- CD8-, and CD3- T cells in the peripheral blood of exanthem subitum patients. HHV-6-related virus predominantly infected CD4+ CD8+, CD4+ CD8-, and CD3+ CD4+ cells with mature phenotypes and rarely infected CD4- CD8+ cells from cord blood mononuclear cells, which suggested predominant CD4 mature T-lymphocyte tropism of HHV-6-related virus.

Information-theoretic semi-supervised metric learning via entropy regularization.

Science.gov (United States)

Niu, Gang; Dai, Bo; Yamada, Makoto; Sugiyama, Masashi

2014-08-01

We propose a general information-theoretic approach to semi-supervised metric learning called SERAPH (SEmi-supervised metRic leArning Paradigm with Hypersparsity) that does not rely on the manifold assumption. Given the probability parameterized by a Mahalanobis distance, we maximize its entropy on labeled data and minimize its entropy on unlabeled data following entropy regularization. For metric learning, entropy regularization improves manifold regularization by considering the dissimilarity information of unlabeled data in the unsupervised part, and hence it allows the supervised and unsupervised parts to be integrated in a natural and meaningful way. Moreover, we regularize SERAPH by trace-norm regularization to encourage low-dimensional projections associated with the distance metric. The nonconvex optimization problem of SERAPH could be solved efficiently and stably by either a gradient projection algorithm or an EM-like iterative algorithm whose M-step is convex. Experiments demonstrate that SERAPH compares favorably with many well-known metric learning methods, and the learned Mahalanobis distance possesses high discriminability even under noisy environments.

Re/assembling "Innovative" Learning Environments: Affective Practice and Its Politics

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Mulcahy, Dianne; Morrison, Carol

2017-01-01

In this article, we argue that the interest being taken by governments in establishing innovative learning environments (ILEs) in schools relies on a conception of space as a largely neutral arena. In consequence, relations of space and power inherent in the infrastructural shift to ILEs tend to drop from view. Adopting an assemblage approach to…

Faculty Perceptions of Problem-Based Learning in a Veterinary College

Science.gov (United States)

Malinowski, Robert

2012-01-01

Problem-based learning (PBL) has been embraced by several veterinary colleges as one approach to manage the ever-growing body of knowledge in the profession. The goal is to foster the development of problem-solving and critical thinking skills in students, enabling them to make logical and informed decisions, rather than rely on the rote…

Teaching and Learning Health Justice: Best Practices and Recommendations for Innovation

Science.gov (United States)

Rentmeester, Christy A.; Chapple, Helen S.; Haddad, Amy M.; Stone, John R.

2016-01-01

We describe the development and implementation of an online graduate bioethics program that weaves a theme of health justice throughout the curriculum. Our account relies on a constructionist model of curriculum development and adult teaching and learning theory. Our curriculum draws upon core values of Jesuit higher education, including content…

Media Analysis as Critical Reflexology in Exploring Adult Learning Theories

Science.gov (United States)

Hutchins, Holly M.; Bierema, Laura

2013-01-01

Examining media artifacts as a learning method has received little attention in human resource development (HRD) despite it being a predominate form of information and influence in popular culture. As Giroux (2002) opines, media functions as a form of public pedagogy by offering situations and contexts through which viewers can vicariously…

Moral learning as intuitive theory revision.

Science.gov (United States)

Rhodes, Marjorie; Wellman, Henry

2017-10-01

We argue that moral learning, like much of conceptual development more generally, involves development and change in children's intuitive theories of the world. Children's intuitive theories involve coherent and abstract representations of the world, which point to domain-specific, unobservable causal-explanatory entities. From this perspective, children rely on intuitive sociological theories (in particular, an abstract expectation that group memberships constrain people's obligations), and their intuitive psychological theories (including expectations that mental states motivate individual behavior) to predict, explain, and evaluate morally-relevant action. Thus, moral learning involves development and change in each of these theories of the world across childhood, as well as developmental change in how children integrate information from these two intuitive theories. This perspective is supported by a series of research studies on young children's moral reasoning and learning, and compared to other developmental approaches, including more traditional forms of constructivism and more recent nativist perspectives. Copyright © 2016 Elsevier B.V. All rights reserved.

Mate familiarity and social learning in a monogamous lizard.

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Munch, Kirke L; Noble, Daniel W A; Wapstra, Erik; While, Geoffrey M

2018-05-08

Social learning is thought to be advantageous as it allows an animal to gather information quickly without engaging in costly trial-and-error learning. However, animals should be selective about when and whom they learn from. Familiarity is predicted to positively influence an animal's reliance on social learning; yet, few studies have empirically tested this theory. We used a lizard (Liopholis whitii) that forms long-term monogamous pair bonds to examine the effects of partner familiarity on social learning in two novel foraging tasks, an association and a reversal task. We allowed female lizards to observe trained conspecifics that were either familiar (social mate) or unfamiliar execute these tasks and compared these two groups with control females that did not receive social information. Lizards preferentially relied on trial-and-error learning in the association task. In the reversal task, lizards that were demonstrated by familiar partners learnt in fewer trials compared to control lizards and made more correct choices. Our results provide some evidence for context-dependent learning with lizards differentiating between when they utilize social learning, and, to a limited degree, whom they learnt from. Understanding the role of the social context in which learning occurs provides important insights into the benefits of social learning and sociality more generally.

e-Learning initiatives to support prescribing.

Science.gov (United States)

Maxwell, Simon; Mucklow, John

2012-10-01

Preparing medical students to prescribe is a major challenge of undergraduate education. They must develop an understanding of clinical pharmacology and acquire knowledge about drugs and therapeutics, as well as the skills to prescribe for individual patients in the face of multiple variables. The task of delivering the learning required to achieve these attributes relies upon limited numbers of teachers, who have increasingly busy clinical commitments. There is evidence that training is currently insufficient to meet the demands of the workplace. e-Learning provides an opportunity to improve the learning experience. The advantages for teachers are improved distribution of learning content, ease of update, standardization and tracking of learner activities. The advantages for learners are ease of access, greater interactivity and individual choice concerning the pace and mix of learning. Important disadvantages are the considerable resource required to develop e-Learning projects and difficulties in simulating some aspects of the real world prescribing experience. Pre-requisites for developing an e-Learning programme to support prescribing include academic expertise, institutional support, learning technology services and an effective virtual learning environment. e-Learning content might range from complex interactive learning sessions through to static web pages with links. It is now possible to simulate and provide feedback on prescribing decisions and this will improve with advances in virtual reality. Other content might include a student formulary, self-assessment exercises (e.g. calculations), a glossary and an on-line library. There is some evidence for the effectiveness of e-Learning but better research is required into its potential impact on prescribing. © 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.

Genetic disruptions of Drosophila Pavlovian learning leave extinction learning intact.

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Qin, H; Dubnau, J

2010-03-01

Individuals who experience traumatic events may develop persistent posttraumatic stress disorder. Patients with this disorder are commonly treated with exposure therapy, which has had limited long-term success. In experimental neurobiology, fear extinction is a model for exposure therapy. In this behavioral paradigm, animals are repeatedly exposed in a safe environment to the fearful stimulus, which leads to greatly reduced fear. Studying animal models of extinction already has lead to better therapeutic strategies and development of new candidate drugs. Lack of a powerful genetic model of extinction, however, has limited progress in identifying underlying molecular and genetic factors. In this study, we established a robust behavioral paradigm to study the short-term effect (acquisition) of extinction in Drosophila melanogaster. We focused on the extinction of olfactory aversive 1-day memory with a task that has been the main workhorse for genetics of memory in flies. Using this paradigm, we show that extinction can inhibit each of two genetically distinct forms of consolidated memory. We then used a series of single-gene mutants with known impact on associative learning to examine the effects on extinction. We find that extinction is intact in each of these mutants, suggesting that extinction learning relies on different molecular mechanisms than does Pavlovian learning.

Learning to Be Mobile

DEFF Research Database (Denmark)

McIlvenny, Paul

of this creative cyclomobility research focuses on adult cycling or more extreme sports, such as BMX trials or mountain biking. There is, however, little qualitative research to date on family bike rides, eg. how children learn to sit in or ride a bike and how parents or caregivers talk and interact with children...... predominantly on separate bike lanes, with bike-only traffic lights at intersections for example. The analysis will be illustrated with clips comprising multi-angle video recordings of the two types of bike rides. After several experiments, more than one video camera was necessary to capture audio and visual...... are presented and discussed: 1) riding/talk formations; 2) stretchy participation frameworks; 3) navigating static and moving obstacles; 4) situated noticings: 5) learning safe riding; and 6) negotiating the appropriate road conduct of other road users....

Unsupervised spike sorting based on discriminative subspace learning.

Science.gov (United States)

Keshtkaran, Mohammad Reza; Yang, Zhi

2014-01-01

Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. In this paper, we present two unsupervised spike sorting algorithms based on discriminative subspace learning. The first algorithm simultaneously learns the discriminative feature subspace and performs clustering. It uses histogram of features in the most discriminative projection to detect the number of neurons. The second algorithm performs hierarchical divisive clustering that learns a discriminative 1-dimensional subspace for clustering in each level of the hierarchy until achieving almost unimodal distribution in the subspace. The algorithms are tested on synthetic and in-vivo data, and are compared against two widely used spike sorting methods. The comparative results demonstrate that our spike sorting methods can achieve substantially higher accuracy in lower dimensional feature space, and they are highly robust to noise. Moreover, they provide significantly better cluster separability in the learned subspace than in the subspace obtained by principal component analysis or wavelet transform.

Prevalence of comorbidities according to predominant phenotype and severity of chronic obstructive pulmonary disease

Directory of Open Access Journals (Sweden)

Camiciottoli G

2016-09-01

Full Text Available Gianna Camiciottoli,1,2 Francesca Bigazzi,1 Chiara Magni,1 Viola Bonti,1 Stefano Diciotti,3 Maurizio Bartolucci,4 Mario Mascalchi,5 Massimo Pistolesi1 1Section of Respiratory Medicine, Department of Clinical and Experimental Medicine, 2Department of Clinical and Experimental Biomedical Sciences, University of Florence, Florence, 3Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi,” University of Bologna, Cesena, 4Department of Diagnostic Imaging, Careggi University Hospital, 5Radiodiagnostic Section, Department of Clinical and Experimental Biomedical Sciences, University of Florence, Florence, Italy Background: In addition to lung involvement, several other diseases and syndromes coexist in patients with chronic obstructive pulmonary disease (COPD. Our purpose was to investigate the prevalence of idiopathic arterial hypertension (IAH, ischemic heart disease, heart failure, peripheral vascular disease (PVD, diabetes, osteoporosis, and anxious depressive syndrome in a clinical setting of COPD outpatients whose phenotypes (predominant airway disease and predominant emphysema and severity (mild and severe diseases were determined by clinical and functional parameters. Methods: A total of 412 outpatients with COPD were assigned either a predominant airway disease or a predominant emphysema phenotype of mild or severe degree according to predictive models based on pulmonary functions (forced expiratory volume in 1 second/vital capacity; total lung capacity %; functional residual capacity %; and diffusing capacity of lung for carbon monoxide % and sputum characteristics. Comorbidities were assessed by objective medical records. Results: Eighty-four percent of patients suffered from at least one comorbidity and 75% from at least one cardiovascular comorbidity, with IAH and PVD being the most prevalent ones (62% and 28%, respectively. IAH prevailed significantly in predominant airway disease, osteoporosis prevailed

Neuromuscular-skeletal origins of predominant patterns of coordination in rhythmic two-joint arm movement.

Science.gov (United States)

de Rugy, Aymar; Riek, Stephan; Carson, Richard G

2006-01-01

The authors tested for predominant patterns of coordination in the combination of rhythmic flexion-extension (FE) and supination- (SP) at the elbow-joint complex. Participants (N=10) spontaneously established in-phase (supination synchronized with flexion) and antiphase (pronation synchronized with flexion) patterns. In addition, the authors used a motorized robot arm to generate involuntary SP movements with different phase relations with respect to voluntary FE. The involuntarily induced in-phase pattern was accentuated and was more consistent than other patterns. The result provides evidence that the predominance of the in-phase pattern originates in the influence of neuromuscular-skeletal constraints rather than in a preference dictated by perceptual-cognitive factors implicated in voluntary control. Neuromuscular-skeletal constraints involved in the predominance of the in-phase and the antiphase patterns are discussed.

Anatomy learning styles and strategies among Jordanian and Malaysian medical students: the impact of culture on learning anatomy.

Science.gov (United States)

Mustafa, Ayman G; Allouh, Mohammed Z; Mustafa, Intisar G; Hoja, Ibrahim M

2013-07-01

The study aims to investigate anatomy learning styles and strategies of Jordanian and Malaysian medical students at the Jordan University of Science and Technology. The study is a cross-sectional questionnaire-based study. Students' responses for the questionnaire were numerically coded, and the results were analyzed to reveal statistically significant differences between Jordanian and Malaysian students. The results showed that Jordanian medical students were less interested in using cadavers in learning anatomy than Malaysian medical students. However, similar to their Malaysian counterparts, they prefer to employ other tools to learn anatomy like plastinated models and Internet-based resources. In addition to the aforementioned tools, Malaysian students were more interested in using cross-sectional images and making their own revision cards. Both Jordanian and Malaysian medical students were more interested in learning anatomy through clinical cases, and by system rather than by region. Moreover, it was revealed that Jordanian medical students learn anatomy more efficiently when they formulate a general view of a particular topic. Both Jordanian and Malaysian medical students also relied on reciting definitions and memorizing facts to learn anatomy. The study also reported significant differences between Jordanian and Malaysian students' perspectives on learning anatomy. The findings of the study suggest that Jordanian and Malaysian medical students posses different cultures of learning. Jordanian anatomy instructors need to consider these different learning cultures when they prepare their instructional methods and teaching materials to fulfill the educational needs of their culturally diverse students.

Regulation of Emotions in Socially Challenging Learning Situations: An Instrument to Measure the Adaptive and Social Nature of the Regulation Process

Science.gov (United States)

Jarvenoja, Hanna; Volet, Simone; Jarvela, Sanna

2013-01-01

Self-regulated learning (SRL) research has conventionally relied on measures, which treat SRL as an aptitude. To study self-regulation and motivation in learning contexts as an ongoing adaptive process, situation-specific methods are needed in addition to static measures. This article presents an "Adaptive Instrument for Regulation of Emotions"…

An efficient flow-based botnet detection using supervised machine learning

DEFF Research Database (Denmark)

Stevanovic, Matija; Pedersen, Jens Myrup

2014-01-01

Botnet detection represents one of the most crucial prerequisites of successful botnet neutralization. This paper explores how accurate and timely detection can be achieved by using supervised machine learning as the tool of inferring about malicious botnet traffic. In order to do so, the paper...... introduces a novel flow-based detection system that relies on supervised machine learning for identifying botnet network traffic. For use in the system we consider eight highly regarded machine learning algorithms, indicating the best performing one. Furthermore, the paper evaluates how much traffic needs...... to accurately and timely detect botnet traffic using purely flow-based traffic analysis and supervised machine learning. Additionally, the results show that in order to achieve accurate detection traffic flows need to be monitored for only a limited time period and number of packets per flow. This indicates...

Attentional Profiles and White Matter Correlates in Attention-Deficit/Hyperactivity Disorder Predominantly Inattentive Type

OpenAIRE

Rossi, Adriana Suzart Ungaretti; de Moura, Luciana Monteiro; de Mello, Claudia Berlim; de Souza, Altay Alves Lino; Muszkat, Mauro; Bueno, Orlando Francisco Amodeo

2015-01-01

Attention-deficit/hyperactivity disorder (ADHD) is a widely studied neurodevelopmental disorder. It is a highly heterogeneous condition, encompassing different types of expression. The predominantly inattentive type is the most prevalent and the most stable over the lifetime, yet it is the least-studied presentation. To increase understanding of its cognitive profile, 29 children with Attention-deficit/hyperactivity disorder of predominantly inattentive type (ADHD-I) and 29 matched controls, ...

A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data

Directory of Open Access Journals (Sweden)

Bighnaraj Naik

2018-01-01

Full Text Available All the higher order ANNs (HONNs including functional link ANN (FLANN are sensitive to random initialization of weight and rely on the learning algorithms adopted. Although a selection of efficient learning algorithms for HONNs helps to improve the performance, on the other hand, initialization of weights with optimized weights rather than random weights also play important roles on its efficiency. In this paper, the problem solving approach of the teaching learning based optimization (TLBO along with learning ability of the gradient descent learning (GDL is used to obtain the optimal set of weight of FLANN learning model. TLBO does not require any specific parameters rather it requires only some of the common independent parameters like number of populations, number of iterations and stopping criteria, thereby eliminating the intricacy in selection of algorithmic parameters for adjusting the set of weights of FLANN model. The proposed TLBO-FLANN is implemented in MATLAB and compared with GA-FLANN, PSO-FLANN and HS-FLANN. The TLBO-FLANN is tested on various 5-fold cross validated benchmark data sets from UCI machine learning repository and analyzed under the null-hypothesis by using Friedman test, Holm’s procedure and post hoc ANOVA statistical analysis (Tukey test & Dunnett test.

Nursing students' perceptions of learning in practice environments: a review.

Science.gov (United States)

Henderson, Amanda; Cooke, Marie; Creedy, Debra K; Walker, Rachel

2012-04-01

Effective clinical learning requires integration of nursing students into ward activities, staff engagement to address individual student learning needs, and innovative teaching approaches. Assessing characteristics of practice environments can provide useful insights for development. This study identified predominant features of clinical learning environments from nursing students' perspectives across studies using the same measure in different countries over the last decade. Six studies, from three different countries, using the Clinical Leaning Environment Inventory (CLEI) were reviewed. Studies explored consistent trends about learning environment. Students rated sense of task accomplishment high. Affiliation also rated highly though was influenced by models of care. Feedback measuring whether students' individual needs and views were accommodated consistently rated lower. Across different countries students report similar perceptions about learning environments. Clinical learning environments are most effective in promoting safe practice and are inclusive of student learners, but not readily open to innovation and challenges to routine practices. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

Employability Skill Development in Work-Integrated Learning: Barriers and Best Practice

Science.gov (United States)

Jackson, Denise

2015-01-01

Work-integrated learning (WIL) is widely considered instrumental in equipping new graduates with the required employability skills to function effectively in the work environment. Evaluation of WIL programs in enhancing skill development remains predominantly outcomes-focused with little attention to the process of what, how and from whom students…

Theories of Intelligence, Learning, and Motivation as a Basis for Praxis

Science.gov (United States)

Nderu-Boddington, Eulalee

2008-01-01

This paper examines how Piaget, Werner, and Gardner differ regarding the roles of cognition, intelligence, and learning in the developmental process. Piaget believes in the predominance of genetic factors. Werner stresses the influence of biological factors, while Gardner proposes that the environment plays a greater influence in how intelligence…

Understanding Cognitive Language Learning Strategies

Directory of Open Access Journals (Sweden)

Sergio Di Carlo

2017-01-01

Full Text Available Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.

Why segmentation matters: Experience-driven segmentation errors impair "morpheme" learning.

Science.gov (United States)

Finn, Amy S; Hudson Kam, Carla L

2015-09-01

We ask whether an adult learner's knowledge of their native language impedes statistical learning in a new language beyond just word segmentation (as previously shown). In particular, we examine the impact of native-language word-form phonotactics on learners' ability to segment words into their component morphemes and learn phonologically triggered variation of morphemes. We find that learning is impaired when words and component morphemes are structured to conflict with a learner's native-language phonotactic system, but not when native-language phonotactics do not conflict with morpheme boundaries in the artificial language. A learner's native-language knowledge can therefore have a cascading impact affecting word segmentation and the morphological variation that relies upon proper segmentation. These results show that getting word segmentation right early in learning is deeply important for learning other aspects of language, even those (morphology) that are known to pose a great difficulty for adult language learners. (c) 2015 APA, all rights reserved).

STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE

Science.gov (United States)

2017-12-01

compensate for parser errors. We replace deterministic conjunction by an average combiner, which encodes causal independence. Our framework was the...sentence similarity (STS) and sentence paraphrasing, but not Textual Entailment, where deeper inferences are required. As the formula for conjunction ...When combined, our algorithm learns to rely on systems that not just agree on an output but also the provenance of this output in conjunction with the

Practice and Learning: Spatiotemporal Differences in Thalamo-Cortical-Cerebellar Networks Engagement across Learning Phases in Schizophrenia.

Science.gov (United States)

Korostil, Michele; Remington, Gary; McIntosh, Anthony Randal

2016-01-01

Understanding how practice mediates the transition of brain-behavior networks between early and later stages of learning is constrained by the common approach to analysis of fMRI data. Prior imaging studies have mostly relied on a single scan, and parametric, task-related analyses. Our experiment incorporates a multisession fMRI lexicon-learning experiment with multivariate, whole-brain analysis to further knowledge of the distributed networks supporting practice-related learning in schizophrenia (SZ). Participants with SZ were compared with healthy control (HC) participants as they learned a novel lexicon during two fMRI scans over a several day period. All participants were trained to equal task proficiency prior to scanning. Behavioral-Partial Least Squares, a multivariate analytic approach, was used to analyze the imaging data. Permutation testing was used to determine statistical significance and bootstrap resampling to determine the reliability of the findings. With practice, HC participants transitioned to a brain-accuracy network incorporating dorsostriatal regions in late-learning stages. The SZ participants did not transition to this pattern despite comparable behavioral results. Instead, successful learners with SZ were differentiated primarily on the basis of greater engagement of perceptual and perceptual-integration brain regions. There is a different spatiotemporal unfolding of brain-learning relationships in SZ. In SZ, given the same amount of practice, the movement from networks suggestive of effortful learning toward subcortically driven procedural one differs from HC participants. Learning performance in SZ is driven by varying levels of engagement in perceptual regions, which suggests perception itself is impaired and may impact downstream, "higher level" cognition.

Technological Literacy Learning with Cumulative and Stepwise Integration of Equations into Electrical Circuit Diagrams

Science.gov (United States)

Ozogul, G.; Johnson, A. M.; Moreno, R.; Reisslein, M.

2012-01-01

Technological literacy education involves the teaching of basic engineering principles and problem solving, including elementary electrical circuit analysis, to non-engineering students. Learning materials on circuit analysis typically rely on equations and schematic diagrams, which are often unfamiliar to non-engineering students. The goal of…

How Does the Use of Role-Play Affect the Learning of Year 4 Children in a Predominately EAL Class?

Science.gov (United States)

Grant, Katrina; Mistry, Malini Tina

2010-01-01

This paper investigates role-play activities and how they can be used within learning for English as an Additional Language (EAL) pupils in a Key Stage 2 setting in England. Through observations, results showed effective role-play activities can be beneficial to EAL pupils, allowing them to practice words and phrases in a relaxed atmosphere…

Human children rely more on social information than chimpanzees do.

Science.gov (United States)

van Leeuwen, Edwin J C; Call, Josep; Haun, Daniel B M

2014-11-01

Human societies are characterized by more cultural diversity than chimpanzee communities. However, it is currently unclear what mechanism might be driving this difference. Because reliance on social information is a pivotal characteristic of culture, we investigated individual and social information reliance in children and chimpanzees. We repeatedly presented subjects with a reward-retrieval task on which they had collected conflicting individual and social information of equal accuracy in counterbalanced order. While both species relied mostly on their individual information, children but not chimpanzees searched for the reward at the socially demonstrated location more than at a random location. Moreover, only children used social information adaptively when individual knowledge on the location of the reward had not yet been obtained. Social information usage determines information transmission and in conjunction with mechanisms that create cultural variants, such as innovation, it facilitates diversity. Our results may help explain why humans are more culturally diversified than chimpanzees. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Deep learning for multi-task plant phenotyping

OpenAIRE

Pound, Michael P.; Atkinson, Jonathan A.; Wells, Darren M.; Pridmore, Tony P.; French, Andrew P.

2017-01-01

Plant phenotyping has continued to pose a challenge to computer vision for many years. There is a particular demand to accurately quantify images of crops, and the natural variability and structure of these plants presents unique difficulties. Recently, machine learning approaches have shown impressive results in many areas of computer vision, but these rely on large datasets that are at present not available for crops. We present a new dataset, called ACID, that provides hundreds of accurate...

Counselling by primary care physicians may help patients with heartburn-predominant uninvestigated dyspepsia

Science.gov (United States)

Paré, Pierre; Math, Joanna Lee M; Hawes, Ian A

2010-01-01

OBJECTIVE: To determine whether strategies to counsel and empower patients with heartburn-predominant dyspepsia could improve health-related quality of life. METHODS: Using a cluster randomized, parallel group, multicentre design, nine centres were assigned to provide either basic or comprehensive counselling to patients (age range 18 to 50 years) presenting with heartburn-predominant upper gastrointestinal symptoms, who would be considered for drug therapy without further investigation. Patients were treated for four weeks with esomeprazole 40 mg once daily, followed by six months of treatment that was at the physician’s discretion. The primary end point was the baseline change in Quality of Life in Reflux and Dyspepsia (QOLRAD) questionnaire score. RESULTS: A total of 135 patients from nine centres were included in the intention-to-treat analysis. There was a statistically significant baseline improvement in all domains of the QOLRAD questionnaire in both study arms at four and seven months (Pheartburn-predominant uninvestigated dyspepsia. Further investigation is needed to confirm the potential benefits of providing patients with comprehensive counselling regarding disease management. PMID:20352148

Relationship between soft stratum thickness and predominant frequency of ground based on microtremor observation data

Science.gov (United States)

Chia, Kenny; Lau, Tze Liang

2017-07-01

Despite categorized as low seismicity group, until being affected by distant earthquake ground motion from Sumatra and the recent 2015 Sabah Earthquake, Malaysia has come to realize that seismic hazard in the country is real and has the potential to threaten the public safety and welfare. The major concern in this paper is to study the effect of local site condition, where it could amplify the magnitude of ground vibration at sites. The aim for this study is to correlate the thickness of soft stratum with the predominant frequency of soil. Single point microtremor measurements were carried out at 24 selected points where the site investigation reports are available. Predominant period and frequency at each site are determined by Nakamura's method. The predominant period varies from 0.22 s to 0.98 s. Generally, the predominant period increases when getting closer to the shoreline which has thicker sediments. As far as the thickness of the soft stratum could influence the amplification of seismic wave, the advancement of micotremor observation to predict the thickness of soft stratum (h) from predominant frequency (fr) is of the concern. Thus an empirical relationship h =54.917 fr-1.314 is developed based on the microtremor observation data. The empirical relationship will be benefited in the prediction of thickness of soft stratum based on microtremor observation for seismic design with minimal cost compared to conventional boring method.

Perceptions and Uses of Digital Badges for Professional Learning Development in Higher Education

Science.gov (United States)

Dyjur, Patti; Lindstrom, Gabrielle

2017-01-01

Few instructors in higher education have completed a formal teaching program and, therefore, rely on informal professional development opportunities to enhance their teaching practice. Micro-credentialing in the form of digital badges is one way in which instructors can document their non-credit learning and accomplishments. This mixed methods…

The Implications of Summer Learning Loss for Value-Added Estimates of Teacher Effectiveness

Science.gov (United States)

Gershenson, Seth; Hayes, Michael S.

2018-01-01

School districts across the United States increasingly use value-added models (VAMs) to evaluate teachers. In practice, VAMs typically rely on lagged test scores from the previous academic year, which necessarily conflate summer with school-year learning and potentially bias estimates of teacher effectiveness. We investigate the practical…

Making the Learning of Mathematics More Meaningful

Science.gov (United States)

Ward, Robin A.

1998-01-01

In the early 1980's, the National Commission on Excellence in Education responded to the call for reform in the teaching and learning of mathematics. In particular, the Commission developed a document addressing the consensus that all students need to learn more, and often different, mathematics and that instruction in mathematics must be significantly revised. In a response to these calls for mathematics education reform, the National Council of Teachers of Mathematics (NCTM) developed its Curriculum and Evaluation Standards (1989) with a two-fold purpose: 1) to create a coherent vision of what it means to be mathematically literate in a world that relies on calculators and computers, and 2) to create a set of standards to guide the revisions of school mathematics curriculum.

Automatic Earthquake Detection by Active Learning

Science.gov (United States)

Bergen, K.; Beroza, G. C.

2017-12-01

In recent years, advances in machine learning have transformed fields such as image recognition, natural language processing and recommender systems. Many of these performance gains have relied on the availability of large, labeled data sets to train high-accuracy models; labeled data sets are those for which each sample includes a target class label, such as waveforms tagged as either earthquakes or noise. Earthquake seismologists are increasingly leveraging machine learning and data mining techniques to detect and analyze weak earthquake signals in large seismic data sets. One of the challenges in applying machine learning to seismic data sets is the limited labeled data problem; learning algorithms need to be given examples of earthquake waveforms, but the number of known events, taken from earthquake catalogs, may be insufficient to build an accurate detector. Furthermore, earthquake catalogs are known to be incomplete, resulting in training data that may be biased towards larger events and contain inaccurate labels. This challenge is compounded by the class imbalance problem; the events of interest, earthquakes, are infrequent relative to noise in continuous data sets, and many learning algorithms perform poorly on rare classes. In this work, we investigate the use of active learning for automatic earthquake detection. Active learning is a type of semi-supervised machine learning that uses a human-in-the-loop approach to strategically supplement a small initial training set. The learning algorithm incorporates domain expertise through interaction between a human expert and the algorithm, with the algorithm actively posing queries to the user to improve detection performance. We demonstrate the potential of active machine learning to improve earthquake detection performance with limited available training data.

Communicating Science Concepts to Individuals with Visual Impairments Using Short Learning Modules

Science.gov (United States)

Stender, Anthony S.; Newell, Ryan; Villarreal, Eduardo; Swearer, Dayne F.; Bianco, Elisabeth; Ringe, Emilie

2016-01-01

Of the 6.7 million individuals in the United States who are visually impaired, 63% are unemployed, and 59% have not attained an education beyond a high school diploma. Providing a basic science education to children and adults with visual disabilities can be challenging because most scientific learning relies on visual demonstrations. Creating…

Sustainability of healthcare improvement: what can we learn from learning theory?

Directory of Open Access Journals (Sweden)

Hovlid Einar

2012-08-01

Full Text Available Abstract Background Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Methods Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Results Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. Conclusions The improved understanding of

Sustainability of healthcare improvement: what can we learn from learning theory?

Science.gov (United States)

Hovlid, Einar; Bukve, Oddbjørn; Haug, Kjell; Aslaksen, Aslak Bjarne; von Plessen, Christian

2012-08-03

Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. The improved understanding of the clinical system represented a change in mental models of

Predominant Nearshore Sediment Dispersal Patterns in Manila Bay

Directory of Open Access Journals (Sweden)

Fernando Siringan

1997-12-01

Full Text Available Net nearshore sediment drift patterns in Manila Bay were determined by combining the coastal geomorphology depicted in 1 : 50,000scale topographic maps and Synthetic Aperture Radar (SAR images, with changes in shoreline position and predominant longshore current directions derived from the interaction of locally generated waves and bay morphology.Manila Bay is fringed by a variety of coastal subenvironments that reflect changing balances of fluvial, wave, and tidal processes. Along the northern coast, a broad tidal-river delta plain stretching from Bataan to Bulacan indicates the importance of tides, where the lateral extent of tidal influences is amplified by the very gentle coastal gradients. In contrast, along the Cavite coast sandy strandplains, spits, and wave-dominated deltas attest to the geomorphic importance of waves that enter the bay from the South China Sea.The estimates of net sediment drift derived from geomorphological, shoreline-change, and meteorological information are generally in good agreement. Sediment drift directions are predominantly to the northeast along Cavite, to the northwest along Manila and Bulacan, and to the north along Bataan. Wave refraction and eddy formation at the tip of the Cavite Spit cause southwestward sediment drift along the coast from Zapote to Kawit. Geomorphology indicates that onshore-offshore sediment transport is probably more important than alongshore transport along the coast fronting the tidal delta plain of northern Manila Bay. Disagreements between the geomorphic-derived and predicted net sediment drift directions may be due to interactions of wave-generated longshore currents with wind- and tide-generated currents.

Integrating Community into the Classroom: Community Gardening, Community Involvement, and Project-Based Learning.

Science.gov (United States)

Langhout, Regina Day; Rappaport, Julian; Simmons, Doretha

2002-01-01

Culturally relevant, ongoing project-based learning was facilitated in a predominantly African American urban elementary school via a community garden project. The project involved teachers, students, university members, and community members. This article evaluates the project through two classroom-community collaboration models, noting common…

The Use of Interactive Environments to Promote Self-Regulation in Online Learning: A Literature Review

OpenAIRE

Erhan Delen; Jeffrey Liew

2016-01-01

Distance education in the 21st century often relies on educational technology as the primary delivery of teaching to learners. In distance education, the source of the information and the learner do not share the same physical setting; therefore, the information is delivered by a variety of methods. The new emerging tools that are used in online learning have changed the view of pedagogical perspective in distance education. Although online learning shares some elements with traditional class...

77 FR 70117 - Purchase of Certain Debt Securities by Business and Industrial Development Companies Relying on...

Science.gov (United States)

2012-11-23

... 3235-AL02 Purchase of Certain Debt Securities by Business and Industrial Development Companies Relying... securities; (B) is engaged or proposes to engage in the business of issuing face-amount certificates of the... business of issuing redeemable securities, the operations of which are subject to regulation by the State...

76 FR 69545 - Conditions and Requirements for Relying on Component Part Testing or Certification, or Another...

Science.gov (United States)

2011-11-08

... the final rule to incorporate the concept that a finished product certifier may rely upon finished... revised, on our own initiative, the final rule to incorporate the concept that a finished product... Vol. 76 Tuesday, No. 216 November 8, 2011 Part IV Consumer Product Safety Commission 16 CFR Parts...

Episodic Memory Retrieval Functionally Relies on Very Rapid Reactivation of Sensory Information.

Science.gov (United States)

Waldhauser, Gerd T; Braun, Verena; Hanslmayr, Simon

2016-01-06

Episodic memory retrieval is assumed to rely on the rapid reactivation of sensory information that was present during encoding, a process termed "ecphory." We investigated the functional relevance of this scarcely understood process in two experiments in human participants. We presented stimuli to the left or right of fixation at encoding, followed by an episodic memory test with centrally presented retrieval cues. This allowed us to track the reactivation of lateralized sensory memory traces during retrieval. Successful episodic retrieval led to a very early (∼100-200 ms) reactivation of lateralized alpha/beta (10-25 Hz) electroencephalographic (EEG) power decreases in the visual cortex contralateral to the visual field at encoding. Applying rhythmic transcranial magnetic stimulation to interfere with early retrieval processing in the visual cortex led to decreased episodic memory performance specifically for items encoded in the visual field contralateral to the site of stimulation. These results demonstrate, for the first time, that episodic memory functionally relies on very rapid reactivation of sensory information. Remembering personal experiences requires a "mental time travel" to revisit sensory information perceived in the past. This process is typically described as a controlled, relatively slow process. However, by using electroencephalography to measure neural activity with a high time resolution, we show that such episodic retrieval entails a very rapid reactivation of sensory brain areas. Using transcranial magnetic stimulation to alter brain function during retrieval revealed that this early sensory reactivation is causally relevant for conscious remembering. These results give first neural evidence for a functional, preconscious component of episodic remembering. This provides new insight into the nature of human memory and may help in the understanding of psychiatric conditions that involve the automatic intrusion of unwanted memories. Copyright

Why segmentation matters: experience-driven segmentation errors impair “morpheme” learning

Science.gov (United States)

Finn, Amy S.; Hudson Kam, Carla L.

2015-01-01

We ask whether an adult learner’s knowledge of their native language impedes statistical learning in a new language beyond just word segmentation (as previously shown). In particular, we examine the impact of native-language word-form phonotactics on learners’ ability to segment words into their component morphemes and learn phonologically triggered variation of morphemes. We find that learning is impaired when words and component morphemes are structured to conflict with a learner’s native-language phonotactic system, but not when native-language phonotactics do not conflict with morpheme boundaries in the artificial language. A learner’s native-language knowledge can therefore have a cascading impact affecting word segmentation and the morphological variation that relies upon proper segmentation. These results show that getting word segmentation right early in learning is deeply important for learning other aspects of language, even those (morphology) that are known to pose a great difficulty for adult language learners. PMID:25730305

A new evolutionary algorithm with LQV learning for combinatorial problems optimization

International Nuclear Information System (INIS)

Machado, Marcelo Dornellas; Schirru, Roberto

2000-01-01

Genetic algorithms are biologically motivated adaptive systems which have been used, with good results, for combinatorial problems optimization. In this work, a new learning mode, to be used by the population-based incremental learning algorithm, has the aim to build a new evolutionary algorithm to be used in optimization of numerical problems and combinatorial problems. This new learning mode uses a variable learning rate during the optimization process, constituting a process known as proportional reward. The development of this new algorithm aims its application in the optimization of reload problem of PWR nuclear reactors, in order to increase the useful life of the nuclear fuel. For the test, two classes of problems are used: numerical problems and combinatorial problems. Due to the fact that the reload problem is a combinatorial problem, the major interest relies on the last class. The results achieved with the tests indicate the applicability of the new learning mode, showing its potential as a developing tool in the solution of reload problem. (author)

Individual differences in adult foreign language learning: the mediating effect of metalinguistic awareness.

Science.gov (United States)

Brooks, Patricia J; Kempe, Vera

2013-02-01

In this study, we sought to identify cognitive predictors of individual differences in adult foreign-language learning and to test whether metalinguistic awareness mediated the observed relationships. Using a miniature language-learning paradigm, adults (N = 77) learned Russian vocabulary and grammar (gender agreement and case marking) over six 1-h sessions, completing tasks that encouraged attention to phrases without explicitly teaching grammatical rules. The participants' ability to describe the Russian gender and case-marking patterns mediated the effects of nonverbal intelligence and auditory sequence learning on grammar learning and generalization. Hence, even under implicit-learning conditions, individual differences stemmed from explicit metalinguistic awareness of the underlying grammar, which, in turn, was linked to nonverbal intelligence and auditory sequence learning. Prior knowledge of languages with grammatical gender (predominantly Spanish) predicted learning of gender agreement. Transfer of knowledge of gender from other languages to Russian was not mediated by awareness, which suggests that transfer operates through an implicit process akin to structural priming.

Learning via Query Synthesis

KAUST Repository

Alabdulmohsin, Ibrahim Mansour

2017-05-07

Active learning is a subfield of machine learning that has been successfully used in many applications. One of the main branches of active learning is query synthe- sis, where the learning agent constructs artificial queries from scratch in order to reveal sensitive information about the underlying decision boundary. It has found applications in areas, such as adversarial reverse engineering, automated science, and computational chemistry. Nevertheless, the existing literature on membership query synthesis has, generally, focused on finite concept classes or toy problems, with a limited extension to real-world applications. In this thesis, I develop two spectral algorithms for learning halfspaces via query synthesis. The first algorithm is a maximum-determinant convex optimization method while the second algorithm is a Markovian method that relies on Khachiyan’s classical update formulas for solving linear programs. The general theme of these methods is to construct an ellipsoidal approximation of the version space and to synthesize queries, afterward, via spectral decomposition. Moreover, I also describe how these algorithms can be extended to other settings as well, such as pool-based active learning. Having demonstrated that halfspaces can be learned quite efficiently via query synthesis, the second part of this thesis proposes strategies for mitigating the risk of reverse engineering in adversarial environments. One approach that can be used to render query synthesis algorithms ineffective is to implement a randomized response. In this thesis, I propose a semidefinite program (SDP) for learning a distribution of classifiers, subject to the constraint that any individual classifier picked at random from this distributions provides reliable predictions with a high probability. This algorithm is, then, justified both theoretically and empirically. A second approach is to use a non-parametric classification method, such as similarity-based classification. In this

Learning to Eat Politely at the Chinese Homestay Dinner Table: Two Contrasting Case Studies

Science.gov (United States)

Lee, Sheng-Hsun; Wu, Qian; Di, Chunyuan; Kinginger, Celeste

2017-01-01

While study abroad homestays are often credited with providing opportunities for language and cultural learning, at times they can be characterized by communicative, cross-cultural, or interpersonal discord. In documenting these conflicts and their consequences, research to date has relied largely on students' self-reports, often focusing on their…

Smartphones Promote Autonomous Learning in ESL Classrooms

Directory of Open Access Journals (Sweden)

Viji Ramamuruthy

2015-10-01

Full Text Available The rapid development of high-technology has caused new inventions of gadgets for all walks of life regardless age. In this rapidly advancing technology era many individuals possess hi-tech gadgets such as laptops, tablets, iPad, android phones and smart phones. Adult learners in higher learning institution especially are fond of using smart phones. Students become passive in the classrooms as they are glued to their smart phones. This situation triggers the question of whether learning really takes place while the students are too engaged with their smart phones in the ESL classroom. In this context, the following questions are framed to investigate this issue: What type of learning skills are gained by using smartphones in ESL classrooms? Does smartphone use promote the autonomous learning process? To what extent do learners rely on the lecturers in addition to the usage of smartphones? What are the learning satisfactions gained by ESL learners using smartphones? A total of 70 smartphone users in the age range 18 to 26 years participated in this quantitative study. Questionnaires eliciting demographic details of the respondents, learning skills, learning satisfaction, students' perception on teacher's role in the ESL classroom and autonomous learning were distributed to all the randomly chosen samples. The data were then analyzed by using SPSS version 16. The findings revealed that smartphone use boosted learners’ critical thinking, creative thinking, communication and collaboration skills. In fact, learners gain great satisfaction in the learning process through smartphones. Although learners have moved toward autonomous learning, they are still reliant on the teachers to achieve their learning goals.

Spatial knowledge dynamics of innovation processes: local and non-local aspects of buzz and collective learning

DEFF Research Database (Denmark)

Tanner, Anne Nygaard

2014-01-01

learning processes and require face-to-face contact. In sum, the innovation biography method contributes in uncovering innovation processes and how these rely on many different configurations of spatial knowledge dynamics, including buzz, local ties and global pipelines. The findings imply that policy...

Learning Predictive Statistics: Strategies and Brain Mechanisms.

Science.gov (United States)

Wang, Rui; Shen, Yuan; Tino, Peter; Welchman, Andrew E; Kourtzi, Zoe

2017-08-30

When immersed in a new environment, we are challenged to decipher initially incomprehensible streams of sensory information. However, quite rapidly, the brain finds structure and meaning in these incoming signals, helping us to predict and prepare ourselves for future actions. This skill relies on extracting the statistics of event streams in the environment that contain regularities of variable complexity from simple repetitive patterns to complex probabilistic combinations. Here, we test the brain mechanisms that mediate our ability to adapt to the environment's statistics and predict upcoming events. By combining behavioral training and multisession fMRI in human participants (male and female), we track the corticostriatal mechanisms that mediate learning of temporal sequences as they change in structure complexity. We show that learning of predictive structures relates to individual decision strategy; that is, selecting the most probable outcome in a given context (maximizing) versus matching the exact sequence statistics. These strategies engage distinct human brain regions: maximizing engages dorsolateral prefrontal, cingulate, sensory-motor regions, and basal ganglia (dorsal caudate, putamen), whereas matching engages occipitotemporal regions (including the hippocampus) and basal ganglia (ventral caudate). Our findings provide evidence for distinct corticostriatal mechanisms that facilitate our ability to extract behaviorally relevant statistics to make predictions. SIGNIFICANCE STATEMENT Making predictions about future events relies on interpreting streams of information that may initially appear incomprehensible. Past work has studied how humans identify repetitive patterns and associative pairings. However, the natural environment contains regularities that vary in complexity from simple repetition to complex probabilistic combinations. Here, we combine behavior and multisession fMRI to track the brain mechanisms that mediate our ability to adapt to

Evaluating Twitter and Its Impact on Student Learning in Principles of Economics Courses

Science.gov (United States)

Al-Bahrani, Abdullah; Patel, Darshak; Sheridan, Brandon J.

2017-01-01

Ever since Becker and Watts (1996) found that economic educators rely heavily on "chalk and talk" as a primary teaching method, economic educators have been seeking new ways to engage students and improve learning outcomes. Recently, the use of social media as a pedagogical tool in economics has received increasing interest. The authors…

Instrumental Genesis in Technology-Mediated Learning: From Double Stimulation to Expansive Knowledge Practices

Science.gov (United States)

Ritella, Giuseppe; Hakkarainen, Kai

2012-01-01

The purpose of the present paper is to examine the socio-cultural foundations of technology-mediated collaborative learning. Toward that end, we discuss the role of artifacts in knowledge-creating inquiry, relying on the theoretical ideas of Carl Bereiter, Merlin Donald, Pierre Rabardel, Keith Sawyer and L. S. Vygotsky. We argue that epistemic…

Predominant Lactobacillus species types of vaginal microbiota in pregnant Korean women: quantification of the five Lactobacillus species and two anaerobes.

Science.gov (United States)

Kim, Jeong Hyun; Yoo, Seung Min; Sohn, Yong Hak; Jin, Chan Hee; Yang, Yun Suk; Hwang, In Taek; Oh, Kwan Young

2017-10-01

To investigate the predominant Lactobacillus species types (LSTs) of vaginal microbiota in pregnant Korean women by quantifying five Lactobacillus species and two anaerobes. In all, 168 pregnant Korean women under antenatal care at Eulji University Hospital and local clinics were enrolled in the prospective cohort study during pregnancy (10-14 weeks). Vaginal samples were collected with Eswab for Quantitative polymerase chain reaction (qPCR) and stored in a -80 °C freezer. qPCR was performed for five Lactobacillus species and two anaerobes. To identify the predominant LSTs, quantifications were analyzed by the Cluster and Tree View programs of Eisen Lab. Also the quantifications were compared among classified groups. L. crispatus and L. iners were most commonly found in pregnant Korean women, followed by L. gasseri and L. jensenii; L. vaginalis was nearly absent. Five types (four predominant LSTs and one predominant anaerobe type without predominant Lactobacillus species) were classified. Five predominant LSTs were identified in vaginal microbiota of pregnant Korean women. L. crispatus and L. iners predominant types comprised a large proportion.

Social Cognition as Reinforcement Learning: Feedback Modulates Emotion Inference.

Science.gov (United States)

Zaki, Jamil; Kallman, Seth; Wimmer, G Elliott; Ochsner, Kevin; Shohamy, Daphna

2016-09-01

Neuroscientific studies of social cognition typically employ paradigms in which perceivers draw single-shot inferences about the internal states of strangers. Real-world social inference features much different parameters: People often encounter and learn about particular social targets (e.g., friends) over time and receive feedback about whether their inferences are correct or incorrect. Here, we examined this process and, more broadly, the intersection between social cognition and reinforcement learning. Perceivers were scanned using fMRI while repeatedly encountering three social targets who produced conflicting visual and verbal emotional cues. Perceivers guessed how targets felt and received feedback about whether they had guessed correctly. Visual cues reliably predicted one target's emotion, verbal cues predicted a second target's emotion, and neither reliably predicted the third target's emotion. Perceivers successfully used this information to update their judgments over time. Furthermore, trial-by-trial learning signals-estimated using two reinforcement learning models-tracked activity in ventral striatum and ventromedial pFC, structures associated with reinforcement learning, and regions associated with updating social impressions, including TPJ. These data suggest that learning about others' emotions, like other forms of feedback learning, relies on domain-general reinforcement mechanisms as well as domain-specific social information processing.

Cross-situational word learning in aphasia.

Science.gov (United States)

Peñaloza, Claudia; Mirman, Daniel; Cardona, Pedro; Juncadella, Montserrat; Martin, Nadine; Laine, Matti; Rodríguez-Fornells, Antoni

2017-08-01

Human learners can resolve referential ambiguity and discover the relationships between words and meanings through a cross-situational learning (CSL) strategy. Some people with aphasia (PWA) can learn word-referent pairings under referential uncertainty supported by online feedback. However, it remains unknown whether PWA can learn new words cross-situationally and if such learning ability is supported by statistical learning (SL) mechanisms. The present study examined whether PWA can learn novel word-referent mappings in a CSL task without feedback. We also studied whether CSL is related to SL in PWA and neurologically healthy individuals. We further examined whether aphasia severity, phonological processing and verbal short-term memory (STM) predict CSL in aphasia, and also whether individual differences in verbal STM modulate CSL in healthy older adults. Sixteen people with chronic aphasia underwent a CSL task that involved exposure to a series of individually ambiguous learning trials and a SL task that taps speech segmentation. Their learning ability was compared to 18 older controls and 39 young adults recruited for task validation. CSL in the aphasia group was below the older controls and young adults and took place at a slower rate. Importantly, we found a strong association between SL and CSL performance in all three groups. CSL was modulated by aphasia severity in the aphasia group, and by verbal STM capacity in the older controls. Our findings indicate that some PWA can preserve the ability to learn new word-referent associations cross-situationally. We suggest that both PWA and neurologically intact individuals may rely on SL mechanisms to achieve CSL and that verbal STM also influences CSL. These findings contribute to the ongoing debate on the cognitive mechanisms underlying this learning ability. Copyright © 2017 Elsevier Ltd. All rights reserved.

Nonalbumin proteinuria predominates in biopsy-proven tenofovir nephrotoxicity.

Science.gov (United States)

Sise, Meghan E; Hirsch, Jamie S; Canetta, Pietro A; Herlitz, Leal; Mohan, Sumit

2015-05-15

Tenofovir disoproxil fumarate (TDF) nephrotoxicity is characterized by proximal renal tubular injury and dysmorphic mitochondria resulting in proteinuria, orthoglycemic glycosuria, and other markers of proximal tubular dysfunction. The objective of this study was to determine the pattern of proteinuria in patients with biopsy-proven TDF nephrotoxicity. Retrospective chart review. Patients with biopsy-proven TDF nephrotoxicity were identified and their medical charts and biopsy reports were reviewed. Comparison was made with HIV-infected patients not on TDF who underwent kidney biopsy. We identified 43 biopsy-proven cases of TDF nephrotoxicity; mean age 54.7 ± 0.4 years, 53% men, 42% whites. Thirty-seven cases reported proteinuria by dipstick of which only 60% had at least 2+ proteinuria. Twenty-seven patients had urine protein quantified by either 24-h collection or spot urine protein-to-creatinine ratio; median proteinuria was 1742 mg/day [interquartile range (IQR) 1200-2000 mg] and 1667 mg/g creatinine (IQR 851-1967 mg/g), respectively. Ten patients had concurrent urinary albumin measured, with a median 236 mg/g creatinine (IQR 137-343 mg/g). The mean urine albumin-to-urine protein ratio (uAPR) was 0.17 (IQR 0.14-0.19), confirming that TDF nephrotoxicity is primarily associated with nonalbumin proteinuria. Control cases had a uAPR of 0.65 (IQR 0.55-0.79) P < 0.001. Histopathology showed the predominance of proximal tubular injury with characteristic mitochondrial abnormalities. In the largest published cohort of patients with biopsy-proven TDF nephrotoxicity, we show that low uAPR is a reliable feature of this disease. Because of the predominance of nonalbumin proteinuria, dipstick urinalysis may be unreliable in TDF nephrotoxicity.

A specific implicit sequence learning deficit as an underlying cause of dyslexia? Investigating the role of attention in implicit learning tasks.

Science.gov (United States)

Staels, Eva; Van den Broeck, Wim

2017-05-01

Recently, a general implicit sequence learning deficit was proposed as an underlying cause of dyslexia. This new hypothesis was investigated in the present study by including a number of methodological improvements, for example, the inclusion of appropriate control conditions. The second goal of the study was to explore the role of attentional functioning in implicit and explicit learning tasks. In a 2 × 2 within-subjects design 4 tasks were administered in 30 dyslexic and 38 control children: an implicit and explicit serial reaction time (RT) task and an implicit and explicit contextual cueing task. Attentional functioning was also administered. The entire learning curves of all tasks were analyzed using latent growth curve modeling in order to compare performances between groups and to examine the role of attentional functioning on the learning curves. The amount of implicit learning was similar for both groups. However, the dyslexic group showed slower RTs throughout the entire task. This group difference reduced and became nonsignificant after controlling for attentional functioning. Both implicit learning tasks, but none of the explicit learning tasks, were significantly affected by attentional functioning. Dyslexic children do not suffer from a specific implicit sequence learning deficit. The slower RTs of the dyslexic children throughout the entire implicit sequence learning process are caused by their comorbid attention problems and overall slowness. A key finding of the present study is that, in contrast to what was assumed for a long time, implicit learning relies on attentional resources, perhaps even more than explicit learning does. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Perceptions of Financial Aid: Black Students at a Predominantly White Institution

Science.gov (United States)

Tichavakunda, Antar A.

2017-01-01

This study provides qualitative context for statistics concerning Black college students and financial aid. Using the financial nexus model as a framework, this research draws upon interviews with 29 Black juniors and seniors at a selective, -private, and predominantly White university. The data suggest that students -generally exhibited high…

Regulated Medicare Advantage And Marketplace Individual Health Insurance Markets Rely On Insurer Competition.

Science.gov (United States)

Frank, Richard G; McGuire, Thomas G

2017-09-01

Two important individual health insurance markets-Medicare Advantage and the Marketplaces-are tightly regulated but rely on competition among insurers to supply and price health insurance products. Many local health insurance markets have little competition, which increases prices to consumers. Furthermore, both markets are highly subsidized in ways that can exacerbate the impact of market power-that is, the ability to set price above cost-on health insurance prices. Policy makers need to foster robust competition in both sectors and avoid designing subsidies that make the market-power problem worse. Project HOPE—The People-to-People Health Foundation, Inc.

Improving Students’ Motivation in Learning ICT Course With the Use of A Mobile Augmented Reality Learning Environment

Science.gov (United States)

Fahri Hanafi, Hafizul; Soh Said, Che; Helmy Wahab, Mohd; Samsuddin, Khairulanuar

2017-08-01

, such a mobile learning tool can be used to help non-technical undergraduates learn with greater motivation, but its success will rely on proper planning and implementation by considering students’ demographic background.

Understanding a Deep Learning Technique through a Neuromorphic System a Case Study with SpiNNaker Neuromorphic Platform

OpenAIRE

Sugiarto Indar; Pasila Felix

2018-01-01

Deep learning (DL) has been considered as a breakthrough technique in the field of artificial intelligence and machine learning. Conceptually, it relies on a many-layer network that exhibits a hierarchically non-linear processing capability. Some DL architectures such as deep neural networks, deep belief networks and recurrent neural networks have been developed and applied to many fields with incredible results, even comparable to human intelligence. However, many researchers are still scept...

Deep Learning in Intermediate Microeconomics: Using Scaffolding Assignments to Teach Theory and Promote Transfer

Science.gov (United States)

Green, Gareth P.; Bean, John C.; Peterson, Dean J.

2013-01-01

Intermediate microeconomics is typically viewed as a theory and tools course that relies on algorithmic problems to help students learn and apply economic theory. However, the authors' assessment research suggests that algorithmic problems by themselves do not encourage students to think about where the theory comes from, why the theory is…

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.

Science.gov (United States)

Neftci, Emre O; Augustine, Charles; Paul, Somnath; Detorakis, Georgios

2017-01-01

An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP) rule, often relies on the immediate availability of network-wide information stored with high-precision memory during learning, and precise operations that are difficult to realize in neuromorphic hardware. Remarkably, recent work showed that exact backpropagated gradients are not essential for learning deep representations. Building on these results, we demonstrate an event-driven random BP (eRBP) rule that uses an error-modulated synaptic plasticity for learning deep representations. Using a two-compartment Leaky Integrate & Fire (I&F) neuron, the rule requires only one addition and two comparisons for each synaptic weight, making it very suitable for implementation in digital or mixed-signal neuromorphic hardware. Our results show that using eRBP, deep representations are rapidly learned, achieving classification accuracies on permutation invariant datasets comparable to those obtained in artificial neural network simulations on GPUs, while being robust to neural and synaptic state quantizations during learning.

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Directory of Open Access Journals (Sweden)

Emre O. Neftci

2017-06-01

Full Text Available An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP rule, often relies on the immediate availability of network-wide information stored with high-precision memory during learning, and precise operations that are difficult to realize in neuromorphic hardware. Remarkably, recent work showed that exact backpropagated gradients are not essential for learning deep representations. Building on these results, we demonstrate an event-driven random BP (eRBP rule that uses an error-modulated synaptic plasticity for learning deep representations. Using a two-compartment Leaky Integrate & Fire (I&F neuron, the rule requires only one addition and two comparisons for each synaptic weight, making it very suitable for implementation in digital or mixed-signal neuromorphic hardware. Our results show that using eRBP, deep representations are rapidly learned, achieving classification accuracies on permutation invariant datasets comparable to those obtained in artificial neural network simulations on GPUs, while being robust to neural and synaptic state quantizations during learning.

78 FR 29392 - Embedded Digital Devices in Safety-Related Systems, Systems Important to Safety, and Items Relied...

Science.gov (United States)

2013-05-20

... NUCLEAR REGULATORY COMMISSION [NRC-2013-0098] Embedded Digital Devices in Safety-Related Systems, Systems Important to Safety, and Items Relied on for Safety AGENCY: Nuclear Regulatory Commission. ACTION... (NRC) is issuing for public comment Draft Regulatory Issue Summary (RIS) 2013-XX, ``Embedded Digital...

Simulation-driven machine learning: Bearing fault classification

Science.gov (United States)

Sobie, Cameron; Freitas, Carina; Nicolai, Mike

2018-01-01

Increasing the accuracy of mechanical fault detection has the potential to improve system safety and economic performance by minimizing scheduled maintenance and the probability of unexpected system failure. Advances in computational performance have enabled the application of machine learning algorithms across numerous applications including condition monitoring and failure detection. Past applications of machine learning to physical failure have relied explicitly on historical data, which limits the feasibility of this approach to in-service components with extended service histories. Furthermore, recorded failure data is often only valid for the specific circumstances and components for which it was collected. This work directly addresses these challenges for roller bearings with race faults by generating training data using information gained from high resolution simulations of roller bearing dynamics, which is used to train machine learning algorithms that are then validated against four experimental datasets. Several different machine learning methodologies are compared starting from well-established statistical feature-based methods to convolutional neural networks, and a novel application of dynamic time warping (DTW) to bearing fault classification is proposed as a robust, parameter free method for race fault detection.

Learning and technological capability building in emerging economies: The case of the biomass power equipment industry in Malaysia

DEFF Research Database (Denmark)

Hansen, Ulrich Elmer; Ockwell, David

2014-01-01

There is increasing recognition that the transfer of foreign technology to developing countries should be considered in light of broader processes of learning, technological capability, formation and industrial development. Previous studies that have looked at this in the context of cleantech...... capabilities. This is explored via an examination of eight firms in the biomass power equipment industry in Malaysia during the period 1970–2011. The paper finds that firms relying on a combination of learning from foreign technology partners and internal learning by planned experimentation make most progress...

Navigating the changing learning landscape: perspective from bioinformatics.ca

OpenAIRE

Brazas, Michelle D.; Ouellette, B. F. Francis

2013-01-01

With the advent of YouTube channels in bioinformatics, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, the more traditional continuing education bioinformatics training programs have had to adapt. Bioinformatics training programs that solely rely on traditional didactic methods are being superseded by these newer resources. Yet such face-to-face instruction is still invaluable...

Robots show us how to teach them: feedback from robots shapes tutoring behavior during action learning.

Science.gov (United States)

Vollmer, Anna-Lisa; Mühlig, Manuel; Steil, Jochen J; Pitsch, Karola; Fritsch, Jannik; Rohlfing, Katharina J; Wrede, Britta

2014-01-01

Robot learning by imitation requires the detection of a tutor's action demonstration and its relevant parts. Current approaches implicitly assume a unidirectional transfer of knowledge from tutor to learner. The presented work challenges this predominant assumption based on an extensive user study with an autonomously interacting robot. We show that by providing feedback, a robot learner influences the human tutor's movement demonstrations in the process of action learning. We argue that the robot's feedback strongly shapes how tutors signal what is relevant to an action and thus advocate a paradigm shift in robot action learning research toward truly interactive systems learning in and benefiting from interaction.

Not just petrol heads: men's learning in the communitythrough participation in motor sports

Directory of Open Access Journals (Sweden)

Barry Golding

2011-04-01

Full Text Available This paper examines the learning experienced through participation by men in twoquite different two motor sports organisations in Western Australia. It relies oninterview data from volunteers about what they do and what they learn as aconsequence of their participation in staging complex but safe, competitive, publicevents. The paper provides evidence of a deep well of learning and wide range of skillsproduced as a consequence of participation. This learning would rarely be recognisedas education or training, illustrating the need for caution when concluding that adulteducation is not taking place and learning outcomes are not being achieved other thanthrough courses where teaching occurs, or in contexts that are regarded as literary.What men skills men learnt, though significant as outcomes, were not the object of themotor sport activity, supporting Biesta's (2006 view that the amassing of knowledgeand skills can be achieved in other valuable ways aside from through education.

Learning craft skills. Exploring preschoolers' craft making process

Directory of Open Access Journals (Sweden)

Virpi Yliverronen

2016-06-01

Full Text Available The aim of this study was to explore a preschooler craft-making process in which 18 preschool novices cut pieces for fabric bags and designed and printed patterns to decorate the bags. Through the task, children were familiarised with a small-scale holistic craft process. The intention was to determine how preschoolers perceived, verbalised and interpreted the craft-making process and how children used bodily expressions when explaining a learned craft skill. The present study relies on the videographic method: two preschool groups’ stamp printing activities were recorded, and each child was interviewed individually. Children’s embodied expressions were particularly in focus in video analysis. The results reveal that all the children were able to sufficiently explain the making phase, however, some children compensated for missing words using bodily and facial expressions and gestures when talking about making. The results showed that children worked logically, and the skill learning phases of perceiving, making, and interpretation were revealed from their learning.

Is microscopic colitis a missed diagnosis in diarrhea-predominant Irritable Bowel Syndrome?

Directory of Open Access Journals (Sweden)

Hamid Tavakoli

2008-08-01

Full Text Available

• BACKGROUND: There are controversies about the importance of biopsies of normal colon mucosa in the investigation of patients with diarrhea predominant irritable bowel syndrome (IBS. On the other hand, microscopic colitis may bemissed based on normal colonoscopy and laboratory examination in this group of patients
• METHODS: The study took place in Alzahra and Noor hospitals and Poursina Hakim Research Institute, from 2002 to 2004. Eligible patients were those suffering from diarrhea for at least 4 weeks. A total of 138 patients were included in the study after meeting Rome criteria (II with normal CBC, ESR, stool examination and no endoscopic abnormality.
• RESULTS: The histologic findings in 138 patients with diarrhea predominant IBS with mean age of 34.7 years (female 55.1% and male 44.9% were as follows: 10 patients (7.2% had collagenous colitis and 3 patients (2.2% were compatible with lymphocytic colitis. No significant diagnostic histologic findings were seen in the rest of patients. Collagenouscolitis was detected in 13% of right colon biopsies and in 10% of sigmoid and transverse colon biopsies. Nocturnal diarrhea was found in 30% of collagenous colitis patients.
• CONCLUSIONS: Total colonoscopy and multiple biopsies in diarrhea predominant IBS patients are necessary for earlydiagnosis of microscopic colitis.
• KEY WORDS: Irritable bowel syndrome, microscopic colitis, colonoscopy, biopsy, diarrhea.

A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning.

Science.gov (United States)

Loonis, Roman F; Brincat, Scott L; Antzoulatos, Evan G; Miller, Earl K

2017-10-11

A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improved more after correct trials in the Saccade (implicit) task, a signature of explicit versus implicit learning. Likewise, error-related negativity, a marker for error processing, was greater in the Match (explicit) tasks. All tasks showed an increase in alpha/beta (10-30 Hz) synchrony after correct choices. However, only the implicit task showed an increase in theta (3-7 Hz) synchrony after correct choices that decreased with learning. In contrast, in the explicit tasks, alpha/beta synchrony increased with learning and decreased thereafter. Our results suggest that explicit versus implicit learning engages different neural mechanisms that rely on different patterns of oscillatory synchrony. Copyright © 2017 Elsevier Inc. All rights reserved.

Einfluss von Flüssigkeitskontamination auf die Verbundfestigkeit von Wurzelkanalsealern (Adseal und RelyX Unicem)

OpenAIRE

Höfer, Margarita

2010-01-01

Ziel dieser Arbeit war es, eine Aussage über die Verbundfestigkeit des epoxidharz-basierten Wurzelkanalsealers Adseal und des selbstadhäsiven methacrylatbasierten Befestigungszements RelyX Unicem zum Wurzelkanaldentin in Abhängigkeit vom Verbleib der Spülflüssigkeit im Wurzelkanal zu treffen. Die Kontamination des Wurzelkanals wurde mittels dreier verschiedener Spüllösungen durchgeführt. Zu diesem Zweck wurden Scherfestigkeitsmessungen sowie lichtmikroskopische Untersuchungen der Sealer-Sprea...

DeepLoc: prediction of protein subcellular localization using deep learning

DEFF Research Database (Denmark)

Almagro Armenteros, Jose Juan; Sønderby, Casper Kaae; Sønderby, Søren Kaae

2017-01-01

The prediction of eukaryotic protein subcellular localization is a well-studied topic in bioinformatics due to its relevance in proteomics research. Many machine learning methods have been successfully applied in this task, but in most of them, predictions rely on annotation of homologues from...... knowledge databases. For novel proteins where no annotated homologues exist, and for predicting the effects of sequence variants, it is desirable to have methods for predicting protein properties from sequence information only. Here, we present a prediction algorithm using deep neural networks to predict...... current state-of-the-art algorithms, including those relying on homology information. The method is available as a web server at http://www.cbs.dtu.dk/services/DeepLoc . Example code is available at https://github.com/JJAlmagro/subcellular_localization . The dataset is available at http...

Application of Deep Learning and Supervised Learning Methods to Recognize Nonlinear Hidden Pattern in Water Stress Levels from Spatiotemporal Datasets across Rural and Urban US Counties

Science.gov (United States)

Eisenhart, T.; Josset, L.; Rising, J. A.; Devineni, N.; Lall, U.

2017-12-01

In the wake of recent water crises, the need to understand and predict the risk of water stress in urban and rural areas has grown. This understanding has the potential to improve decision making in public resource management, policy making, risk management and investment decisions. Assuming an underlying relationship between urban and rural water stress and observable features, we apply Deep Learning and Supervised Learning models to uncover hidden nonlinear patterns from spatiotemporal datasets. Results of interest includes prediction accuracy on extreme categories (i.e. urban areas highly prone to water stress) and not solely the average risk for urban or rural area, which adds complexity to the tuning of model parameters. We first label urban water stressed counties using annual water quality violations and compile a comprehensive spatiotemporal dataset that captures the yearly evolution of climatic, demographic and economic factors of more than 3,000 US counties over the 1980-2010 period. As county-level data reporting is not done on a yearly basis, we test multiple imputation methods to get around the issue of missing data. Using Python libraries, TensorFlow and scikit-learn, we apply and compare the ability of, amongst other methods, Recurrent Neural Networks (testing both LSTM and GRU cells), Convolutional Neural Networks and Support Vector Machines to predict urban water stress. We evaluate the performance of those models over multiple time spans and combine methods to diminish the risk of overfitting and increase prediction power on test sets. This methodology seeks to identify hidden nonlinear patterns to assess the predominant data features that influence urban and rural water stress. Results from this application at the national scale will assess the performance of deep learning models to predict water stress risk areas across all US counties and will highlight a predominant Machine Learning method for modeling water stress risk using spatiotemporal

Reinforcement and inference in cross-situational word learning.

Science.gov (United States)

Tilles, Paulo F C; Fontanari, José F

2013-01-01

Cross-situational word learning is based on the notion that a learner can determine the referent of a word by finding something in common across many observed uses of that word. Here we propose an adaptive learning algorithm that contains a parameter that controls the strength of the reinforcement applied to associations between concurrent words and referents, and a parameter that regulates inference, which includes built-in biases, such as mutual exclusivity, and information of past learning events. By adjusting these parameters so that the model predictions agree with data from representative experiments on cross-situational word learning, we were able to explain the learning strategies adopted by the participants of those experiments in terms of a trade-off between reinforcement and inference. These strategies can vary wildly depending on the conditions of the experiments. For instance, for fast mapping experiments (i.e., the correct referent could, in principle, be inferred in a single observation) inference is prevalent, whereas for segregated contextual diversity experiments (i.e., the referents are separated in groups and are exhibited with members of their groups only) reinforcement is predominant. Other experiments are explained with more balanced doses of reinforcement and inference.

Meet The Simpsons: top-down effects in face learning.

Science.gov (United States)

Bonner, Lesley; Burton, A Mike; Jenkins, Rob; McNeill, Allan; Vicki, Bruce

2003-01-01

We examined whether prior knowledge of a person affects the visual processes involved in learning a face. In two experiments, subjects were taught to associate human faces with characters they knew (from the TV show The Simpsons) or characters they did not (novel names). In each experiment, knowledge of the character predicted performance in a recognition memory test, relying only on old/new confidence ratings. In experiment 1, we established the technique and showed that there is a face-learning advantage for known people, even when face items are counterbalanced for familiarity across the experiment. In experiment 2 we replicated the effect in a setting which discouraged subjects from attending more to known than unknown people, and eliminated any visual association between face stimuli and a character from The Simpsons. We conclude that prior knowledge about a person can enhance learning of a new face.

Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing.

Science.gov (United States)

Obayashi, Chihiro; Tamei, Tomoya; Shibata, Tomohiro

2014-05-01

This paper proposes a novel robotic trainer for motor skill learning. It is user-adaptive inspired by the assist-as-needed principle well known in the field of physical therapy. Most previous studies in the field of the robotic assistance of motor skill learning have used predetermined desired trajectories, and it has not been examined intensively whether these trajectories were optimal for each user. Furthermore, the guidance hypothesis states that humans tend to rely too much on external assistive feedback, resulting in interference with the internal feedback necessary for motor skill learning. A few studies have proposed a system that adjusts its assistive strength according to the user's performance in order to prevent the user from relying too much on the robotic assistance. There are, however, problems in these studies, in that a physical model of the user's motor system is required, which is inherently difficult to construct. In this paper, we propose a framework for a robotic trainer that is user-adaptive and that neither requires a specific desired trajectory nor a physical model of the user's motor system, and we achieve this using model-free reinforcement learning. We chose dart-throwing as an example motor-learning task as it is one of the simplest throwing tasks, and its performance can easily be and quantitatively measured. Training experiments with novices, aiming at maximizing the score with the darts and minimizing the physical robotic assistance, demonstrate the feasibility and plausibility of the proposed framework. Copyright © 2014 Elsevier Ltd. All rights reserved.

Active learning for semi-supervised clustering based on locally linear propagation reconstruction.

Science.gov (United States)

Chang, Chin-Chun; Lin, Po-Yi

2015-03-01

The success of semi-supervised clustering relies on the effectiveness of side information. To get effective side information, a new active learner learning pairwise constraints known as must-link and cannot-link constraints is proposed in this paper. Three novel techniques are developed for learning effective pairwise constraints. The first technique is used to identify samples less important to cluster structures. This technique makes use of a kernel version of locally linear embedding for manifold learning. Samples neither important to locally linear propagation reconstructions of other samples nor on flat patches in the learned manifold are regarded as unimportant samples. The second is a novel criterion for query selection. This criterion considers not only the importance of a sample to expanding the space coverage of the learned samples but also the expected number of queries needed to learn the sample. To facilitate semi-supervised clustering, the third technique yields inferred must-links for passing information about flat patches in the learned manifold to semi-supervised clustering algorithms. Experimental results have shown that the learned pairwise constraints can capture the underlying cluster structures and proven the feasibility of the proposed approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

Perceptual-motor skill learning in Gilles de la Tourette syndrome. Evidence for multiple procedural learning and memory systems.

Science.gov (United States)

Marsh, Rachel; Alexander, Gerianne M; Packard, Mark G; Zhu, Hongtu; Peterson, Bradley S

2005-01-01

Procedural learning and memory systems likely comprise several skills that are differentially affected by various illnesses of the central nervous system, suggesting their relative functional independence and reliance on differing neural circuits. Gilles de la Tourette syndrome (GTS) is a movement disorder that involves disturbances in the structure and function of the striatum and related circuitry. Recent studies suggest that patients with GTS are impaired in performance of a probabilistic classification task that putatively involves the acquisition of stimulus-response (S-R)-based habits. Assessing the learning of perceptual-motor skills and probabilistic classification in the same samples of GTS and healthy control subjects may help to determine whether these various forms of procedural (habit) learning rely on the same or differing neuroanatomical substrates and whether those substrates are differentially affected in persons with GTS. Therefore, we assessed perceptual-motor skill learning using the pursuit-rotor and mirror tracing tasks in 50 patients with GTS and 55 control subjects who had previously been compared at learning a task of probabilistic classifications. The GTS subjects did not differ from the control subjects in performance of either the pursuit rotor or mirror-tracing tasks, although they were significantly impaired in the acquisition of a probabilistic classification task. In addition, learning on the perceptual-motor tasks was not correlated with habit learning on the classification task in either the GTS or healthy control subjects. These findings suggest that the differing forms of procedural learning are dissociable both functionally and neuroanatomically. The specific deficits in the probabilistic classification form of habit learning in persons with GTS are likely to be a consequence of disturbances in specific corticostriatal circuits, but not the same circuits that subserve the perceptual-motor form of habit learning.

Drosophila Learn Opposing Components of a Compound Food Stimulus

Science.gov (United States)

Das, Gaurav; Klappenbach, Martín; Vrontou, Eleftheria; Perisse, Emmanuel; Clark, Christopher M.; Burke, Christopher J.; Waddell, Scott

2014-01-01

Summary Dopaminergic neurons provide value signals in mammals and insects [1–3]. During Drosophila olfactory learning, distinct subsets of dopaminergic neurons appear to assign either positive or negative value to odor representations in mushroom body neurons [4–9]. However, it is not known how flies evaluate substances that have mixed valence. Here we show that flies form short-lived aversive olfactory memories when trained with odors and sugars that are contaminated with the common insect repellent DEET. This DEET-aversive learning required the MB-MP1 dopaminergic neurons that are also required for shock learning [7]. Moreover, differential conditioning with DEET versus shock suggests that formation of these distinct aversive olfactory memories relies on a common negatively reinforcing dopaminergic mechanism. Surprisingly, as time passed after training, the behavior of DEET-sugar-trained flies reversed from conditioned odor avoidance into odor approach. In addition, flies that were compromised for reward learning exhibited a more robust and longer-lived aversive-DEET memory. These data demonstrate that flies independently process the DEET and sugar components to form parallel aversive and appetitive olfactory memories, with distinct kinetics, that compete to guide learned behavior. PMID:25042590

Learning from the First Step. Uni Mail in Geneva

Directory of Open Access Journals (Sweden)

Agnes Goda

2002-04-01

Full Text Available In 1559 Jean Calvin established the Genevan Academy to train students in humanist learning in preparation for the ministry and positions in secular leadership. The first building of the Academy, the so called „Auditoire de Calvin” still exists and is located next to St Peter’s Cathedral. Although law is also taught, the theological spirit remains predominant until the end of the 17th century.

Age-related behavioural and neurofunctional patterns of second language word learning: different ways of being successful.

Science.gov (United States)

Marcotte, Karine; Ansaldo, Ana Inés

2014-08-01

This study aimed at investigating the neural basis of word learning as a function of age and word type. Ten young and ten elderly French-speaking participants were trained by means of a computerized Spanish word program. Both age groups reached a similar naming accuracy, but the elderly required significantly more time. Despite equivalent performance, distinct neural networks characterized the ceiling. While the young cohort showed subcortical activations, the elderly recruited the left inferior frontal gyrus, the left lingual gyrus and the precuneus. The learning trajectory of the elderly, the neuroimaging findings together with their performance on the Stroop suggest that the young adults relied on control processing areas whereas the elderly relied on episodic memory circuits, which may reflect resorting to better preserved cognitive resources. Finally, the recruitment of visual processing areas by the elderly may reflect the impact of the language training method used. Copyright © 2014 Elsevier Inc. All rights reserved.

Dual mechanisms governing reward-driven perceptual learning [version 1; referees: 2 approved

Directory of Open Access Journals (Sweden)

Dongho Kim

2015-09-01

Full Text Available In this review, we explore how reward signals shape perceptual learning in animals and humans. Perceptual learning is the well-established phenomenon by which extensive practice elicits selective improvement in one’s perceptual discrimination of basic visual features, such as oriented lines or moving stimuli. While perceptual learning has long been thought to rely on ‘top-down’ processes, such as attention and decision-making, a wave of recent findings suggests that these higher-level processes are, in fact, not necessary.  Rather, these recent findings indicate that reward signals alone, in the absence of the contribution of higher-level cognitive processes, are sufficient to drive the benefits of perceptual learning. Here, we will review the literature tying reward signals to perceptual learning. Based on these findings, we propose dual underlying mechanisms that give rise to perceptual learning: one mechanism that operates ‘automatically’ and is tied directly to reward signals, and another mechanism that involves more ‘top-down’, goal-directed computations.

Analyzing stakeholders' workshop dialogue for evidence of social learning

Directory of Open Access Journals (Sweden)

Amanda L. Bentley Brymer

2018-03-01

Full Text Available After much debate and synthesis, social learning scholarship is entering an era of empirical research. Given the range across individual-, network-, and systems-level perspectives and scales, clear documentation of social learning processes is critical for making claims about social learning outcomes and their impacts. Past studies have relied on participant recall and concept maps to document perceptions of social learning process and outcome. Using an individual-centric perspective and importing ideas from communication and psychology on question-answer learning through conversational agents, we contribute an expanded conceptual framework and qualitative analytical strategy for assessing stakeholder dialogue for evidence of social learning. We observed stakeholder dialogue across five workshops coordinated for the Bruneau-Owyhee Sage-Grouse Habitat Project (BOSH in Owyhee County, Idaho, USA. Participants' dialogue was audio recorded, transcribed, and analyzed for cross-case patterns. Deductive and inductive coding techniques were applied to illuminate cognitive, relational, and epistemic dimensions of learning and topics of learning. A key finding supports our inclusion of the epistemic dimension and highlights a need for future research: although some participants articulated epistemic positions, they did not challenge each other to share sources or justify factual claims. These findings align with previous research suggesting that, in addition to considering diversity and representation (who is at the table, we should pay more attention to how participants talk, perhaps prompting specific patterns of speech as we endeavor to draw causal connections between social learning processes and outcomes.

The deployment of new energy technologies and the need for local learning

International Nuclear Information System (INIS)

Neij, Lena; Heiskanen, Eva; Strupeit, Lars

2017-01-01

The objective of this paper is to identify local aspects of technological learning in the deployment of solar photovoltaic (PV), a globally important form of distributed energy technology. We review literature in the economics of innovation and economic geography to identify the need for local learning when adopting new technologies and seek evidence on the local aspects of learning processes in the deployment of new (energy) technologies. The analysis focuses on the empirical evidence of learning processes in PV deployment. Our findings show that learning for PV deployment exhibits characteristics of local learning identified in the innovation literature (tacit knowledge, shared narratives, user relations and learning in interorganizational networks). In addition, we show that competencies in the deployment of PV rely on learning processes that are closely connected to the historically and geographically distinctive characteristics of the built environment. We also find evidence of the significance of proximity in (local) learning, as well as examples of knowledge being codified over time into national and global knowledge flows. We conclude with policy implications that acknowledge the importance of local learning for deployment. - Highlights: • PV deployment exhibits characteristics of local learning. • Some processes of local learning have become codified on a national level. • Based on a proximity in local learning we stress the importance of local policy.

Statistical and Machine-Learning Classifier Framework to Improve Pulse Shape Discrimination System Design

Energy Technology Data Exchange (ETDEWEB)

Wurtz, R. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Kaplan, A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2015-10-28

Pulse shape discrimination (PSD) is a variety of statistical classifier. Fully-­realized statistical classifiers rely on a comprehensive set of tools for designing, building, and implementing. PSD advances rely on improvements to the implemented algorithm. PSD advances can be improved by using conventional statistical classifier or machine learning methods. This paper provides the reader with a glossary of classifier-­building elements and their functions in a fully-­designed and operational classifier framework that can be used to discover opportunities for improving PSD classifier projects. This paper recommends reporting the PSD classifier’s receiver operating characteristic (ROC) curve and its behavior at a gamma rejection rate (GRR) relevant for realistic applications.

Abdominal Pain-Predominant Functional Gastrointestinal Disorders in Jordanian School Children

OpenAIRE

Altamimi, Eyad M.; Al-Safadi, Mohammad H.

2014-01-01

Background Recurrent abdominal pain (RAP) is a common complaint in children. Significant portion of them are of functional origin. This study aimed to assess the prevalence of abdominal pain-predominant functional gastrointestinal disorder (FGID) and its types in Jordanian school children. Methods This is a school-based survey at south Jordan. Information using the self-reporting form of the Questionnaire on Pediatric Gastrointestinal Symptoms-Rome III Version (QPGS-RIII) - the official Arabi...

Evidence from machines that learn and think like people.

Science.gov (United States)

Forbus, Kenneth D; Gentner, Dedre

2017-01-01

We agree with Lake et al.'s trenchant analysis of deep learning systems, including that they are highly brittle and that they need vastly more examples than do people. We also agree that human cognition relies heavily on structured relational representations. However, we differ in our analysis of human cognitive processing. We argue that (1) analogical comparison processes are central to human cognition; and (2) intuitive physical knowledge is captured by qualitative representations, rather than quantitative simulations.

[Involvement of aquaporin-4 in synaptic plasticity, learning and memory].

Science.gov (United States)

Wu, Xin; Gao, Jian-Feng

2017-06-25

Aquaporin-4 (AQP-4) is the predominant water channel in the central nervous system (CNS) and primarily expressed in astrocytes. Astrocytes have been generally believed to play important roles in regulating synaptic plasticity and information processing. However, the role of AQP-4 in regulating synaptic plasticity, learning and memory, cognitive function is only beginning to be investigated. It is well known that synaptic plasticity is the prime candidate for mediating of learning and memory. Long term potentiation (LTP) and long term depression (LTD) are two forms of synaptic plasticity, and they share some but not all the properties and mechanisms. Hippocampus is a part of limbic system that is particularly important in regulation of learning and memory. This article is to review some research progresses of the function of AQP-4 in synaptic plasticity, learning and memory, and propose the possible role of AQP-4 as a new target in the treatment of cognitive dysfunction.

Evaluating deep learning architectures for Speech Emotion Recognition.

Science.gov (United States)

Fayek, Haytham M; Lech, Margaret; Cavedon, Lawrence

2017-08-01

Speech Emotion Recognition (SER) can be regarded as a static or dynamic classification problem, which makes SER an excellent test bed for investigating and comparing various deep learning architectures. We describe a frame-based formulation to SER that relies on minimal speech processing and end-to-end deep learning to model intra-utterance dynamics. We use the proposed SER system to empirically explore feed-forward and recurrent neural network architectures and their variants. Experiments conducted illuminate the advantages and limitations of these architectures in paralinguistic speech recognition and emotion recognition in particular. As a result of our exploration, we report state-of-the-art results on the IEMOCAP database for speaker-independent SER and present quantitative and qualitative assessments of the models' performances. Copyright © 2017 Elsevier Ltd. All rights reserved.

Neuronal Rac1 Is Required for Learning-Evoked Neurogenesis

Science.gov (United States)

Anderson, Matthew P.; Freewoman, Julia; Cord, Branden; Babu, Harish; Brakebusch, Cord

2013-01-01

Hippocampus-dependent learning and memory relies on synaptic plasticity as well as network adaptations provided by the addition of adult-born neurons. We have previously shown that activity-induced intracellular signaling through the Rho family small GTPase Rac1 is necessary in forebrain projection neurons for normal synaptic plasticity in vivo, and here we show that selective loss of neuronal Rac1 also impairs the learning-evoked increase in neurogenesis in the adult mouse hippocampus. Earlier work has indicated that experience elevates the abundance of adult-born neurons in the hippocampus primarily by enhancing the survival of neurons produced just before the learning event. Loss of Rac1 in mature projection neurons did reduce learning-evoked neurogenesis but, contrary to our expectations, these effects were not mediated by altering the survival of young neurons in the hippocampus. Instead, loss of neuronal Rac1 activation selectively impaired a learning-evoked increase in the proliferation and accumulation of neural precursors generated during the learning event itself. This indicates that experience-induced alterations in neurogenesis can be mechanistically resolved into two effects: (1) the well documented but Rac1-independent signaling cascade that enhances the survival of young postmitotic neurons; and (2) a previously unrecognized Rac1-dependent signaling cascade that stimulates the proliferative production and retention of new neurons generated during learning itself. PMID:23884931

An associative account of the development of word learning.

Science.gov (United States)

Sloutsky, Vladimir M; Yim, Hyungwook; Yao, Xin; Dennis, Simon

2017-09-01

Word learning is a notoriously difficult induction problem because meaning is underdetermined by positive examples. How do children solve this problem? Some have argued that word learning is achieved by means of inference: young word learners rely on a number of assumptions that reduce the overall hypothesis space by favoring some meanings over others. However, these approaches have difficulty explaining how words are learned from conversations or text, without pointing or explicit instruction. In this research, we propose an associative mechanism that can account for such learning. In a series of experiments, 4-year-olds and adults were presented with sets of words that included a single nonsense word (e.g. dax). Some lists were taxonomic (i.,e., all items were members of a given category), some were associative (i.e., all items were associates of a given category, but not members), and some were mixed. Participants were asked to indicate whether the nonsense word was an animal or an artifact. Adults exhibited evidence of learning when lists consisted of either associatively or taxonomically related items. In contrast, children exhibited evidence of word learning only when lists consisted of associatively related items. These results present challenges to several extant models of word learning, and a new model based on the distinction between syntagmatic and paradigmatic associations is proposed. Copyright © 2017 Elsevier Inc. All rights reserved.

Assessing Learners' Perceived Readiness for Computer-Supported Collaborative Learning (CSCL): A Study on Initial Development and Validation

Science.gov (United States)

Xiong, Yao; So, Hyo-Jeong; Toh, Yancy

2015-01-01

The main purpose of this study was to develop an instrument that assesses university students' perceived readiness for computer-supported collaborative learning (CSCL). Assessment in CSCL research had predominantly focused on measuring "after-collaboration" outcomes and "during-collaboration" behaviors while…

Portfolio as a Means of Promoting Autonomous Learning in Teacher Education: A Quasi-Experimental Study

Science.gov (United States)

Meeus, Wil; Van Petegem, Peter; Meijer, Joost

2008-01-01

Background: The predominant dissertation model used in teacher education courses in Flanders is the "literature study with practical processing". Despite the practical supplement, this traditional model does not fit sufficiently well with autonomous learning as the objective of modern teacher education dissertations. This study reports on the…

Team-based learning for midwifery education.

Science.gov (United States)

Moore-Davis, Tonia L; Schorn, Mavis N; Collins, Michelle R; Phillippi, Julia; Holley, Sharon

2015-01-01

Many US health care and education stakeholder groups, recognizing the need to prepare learners for collaborative practice in complex care environments, have called for innovative approaches in health care education. Team-based learning is an educational method that relies on in-depth student preparation prior to class, individual and team knowledge assessment, and use of small-group learning to apply knowledge to complex scenarios. Although team-based learning has been studied as an approach to health care education, its application to midwifery education is not well described. A master's-level, nurse-midwifery, didactic antepartum course was revised to a team-based learning format. Student grades, course evaluations, and aggregate American Midwifery Certification Board examination pass rates for 3 student cohorts participating in the team-based course were compared with 3 student cohorts receiving traditional, lecture-based instruction. Students had mixed responses to the team-based learning format. Student evaluations improved when faculty added recorded lectures as part of student preclass preparation. Statistical comparisons were limited by variations across cohorts; however, student grades and certification examination pass rates did not change substantially after the course revision. Although initial course revision was time-consuming for faculty, subsequent iterations of the course required less effort. Team-based learning provides students with more opportunity to interact during on-site classes and may spur application of knowledge into practice. However, it is difficult to assess the effect of the team-based learning approach with current measures. Further research is needed to determine the effects of team-based learning on communication and collaboration skills, as well as long-term performance in clinical practice. This article is part of a special series of articles that address midwifery innovations in clinical practice, education, interprofessional

Learning Mixtures of Truncated Basis Functions from Data

DEFF Research Database (Denmark)

Langseth, Helge; Nielsen, Thomas Dyhre; Pérez-Bernabé, Inmaculada

2014-01-01

In this paper we investigate methods for learning hybrid Bayesian networks from data. First we utilize a kernel density estimate of the data in order to translate the data into a mixture of truncated basis functions (MoTBF) representation using a convex optimization technique. When utilizing a ke...... propose an alternative learning method that relies on the cumulative distribution function of the data. Empirical results demonstrate the usefulness of the approaches: Even though the methods produce estimators that are slightly poorer than the state of the art (in terms of log......In this paper we investigate methods for learning hybrid Bayesian networks from data. First we utilize a kernel density estimate of the data in order to translate the data into a mixture of truncated basis functions (MoTBF) representation using a convex optimization technique. When utilizing......-likelihood), they are significantly faster, and therefore indicate that the MoTBF framework can be used for inference and learning in reasonably sized domains. Furthermore, we show how a particular sub- class of MoTBF potentials (learnable by the proposed methods) can be exploited to significantly reduce complexity during inference....

Implementation of modified team-based learning within a problem based learning medical curriculum: a focus group study.

Science.gov (United States)

Burgess, Annette; Roberts, Chris; Ayton, Tom; Mellis, Craig

2018-04-10

While Problem Based Learning (PBL) has long been established internationally, Team-based learning (TBL) is a relatively new pedagogy in medical curricula. Both PBL and TBL are designed to facilitate a learner-centred approach, where students, in interactive small groups, use peer-assisted learning to solve authentic, professionally relevant problems. Differences, however, exist between PBL and TBL in terms of preparation requirements, group numbers, learning strategies, and class structure. Although there are many similarities and some differences between PBL and TBL, both rely on constructivist learning theory to engage and motivate students in their learning. The aim of our study was to qualitatively explore students' perceptions of having their usual PBL classes run in TBL format. In 2014, two iterations in a hybrid PBL curriculum were converted to TBL format, with two PBL groups of 10 students each, being combined to form one TBL class of 20, split into four groups of five students. At the completion of two TBL sessions, all students were invited to attend one of two focus groups, with 14 attending. Thematic analysis was used to code and categorise the data into themes, with constructivist theory used as a conceptual framework to identify recurrent themes. Four key themes emerged; guided learning, problem solving, collaborative learning, and critical reflection. Although structured, students were attracted to the active and collaborative approach of TBL. They perceived the key advantages of TBL to include the smaller group size, the preparatory Readiness Assurance Testing process, facilitation by a clinician, an emphasis on basic science concepts, and immediate feedback. The competitiveness of TBL was seen as a spur to learning. These elements motivated students to prepare, promoted peer assisted teaching and learning, and focussed team discussion. An important advantage of PBL over TBL, was the opportunity for adequate clinical reasoning within the problem

Recent gestational diabetes was associated with mothers stopping predominant breastfeeding earlier in a multi-ethnic population.

Science.gov (United States)

Baerug, Anne; Sletner, Line; Laake, Petter; Fretheim, Atle; Løland, Beate Fossum; Waage, Christin W; Birkeland, Kåre I; Jenum, Anne Karen

2018-06-01

It has previously been shown that breastfeeding may reduce the risk of type 2 diabetes in mothers with recent gestational diabetes mellitus (GDM). This study compared the cessation of predominant breastfeeding in mothers with and without recent GDM in a multi-ethnic population. From May 2008 to May 2010, healthy pregnant women attending antenatal care provided by community health services in Eastern Oslo, Norway were recruited. We included 616 women-58% non-Western-and interviewed and examined them at a mean of 15 and 28 weeks of gestation and 14 weeks' postpartum. Cox regression models examined the association between GDM, as assessed by the 2013 World Health Organization criteria, and breastfeeding cessation. Overall, 190 of the 616 (31%) mothers had GDM and they ended predominant breastfeeding earlier than mothers without GDM, with an adjusted hazard ratio (aHR) of 1.33 and 95% confidence interval (95% CI) of 1.01-1.77. Mothers of South Asian origin ended predominant breastfeeding earlier than Western European mothers in the adjusted analysis (aHR 1.53, 95% CI: 1.04-2.25), but Middle Eastern mothers did not. Recent gestational diabetes was associated with earlier cessation of predominant breastfeeding in Western European and non-Western women. ©2018 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Integrating Student-Centered Learning in Finance Courses: The Case of a Malaysian Research University

Science.gov (United States)

Janor, Hawati; Rahim, Ruzita Abdul; Rahman, Aisyah Abdul; Auzairy, Noor Azryani; Hashim, Noor Azuan; Yusof, Muhamad Zain

2013-01-01

The student-centered learning (SCL) approach is an approach to education that focuses on learners and their needs, rather than relying upon the input of the teacher's. The present paper examines how the SCL approach is integrated as a learner-centered paradigm into finance courses offered at a business school in a research university in Malaysia.…

Acquiring experience in pathology predominantly from what you see, not from what you read: the HIPON e-learning platform.

Science.gov (United States)

Riccioni, Olga; Vrasidas, Charalambos; Brcic, Luka; Armenski, Goce; Seiwerth, Sven; Smeets, Annemieke; van Krieken, J Han Jm; Lazaris, Andreas C

2015-01-01

It is indisputable that nowadays one of the hardest and most important tasks in medicine and especially in medical education, is the conversion of the extensive amount of available data, into medical experience, after a proper analysis. A project under the title "ICT (Information and Communication Technology) eModules on HistoPathology: a useful online tool for students, researchers and professionals - HIPON", co-financed by the Lifelong Learning Program of the Education, Audiovisual and Culture Executive Agency (EACEA), The Commission of the European Union, has been launched at the beginning of 2013. HIPON's purpose is not to provide just another pathology website atlas, but to convey professional experience and thinking in pathology. HIPON has resulted in a well-structured and user-friendly, open resource, multi-language, e-learning platform which, taking advantage of modern image technology, offers medical students, researchers, and professionals a valuable teaching instrument so that they can acquire professional experience in pathology. The mid-term report of HIPON has been favorably evaluated by the EACEA experts who appreciated the potential of our teaching tool in providing the opportunity and the means to acquire medical experience. Through the use of virtual slides, educative videos and microscopic, high resolution, marked images accompanied by relevant questions and answers, HIPON project aims to make end-users able to think as experienced pathologists and become highly efficient in correlating pathologic data with other clinical-laboratory information.

The Workplace Environment for African-American Faculty Employed in Predominately White Institutions.

Science.gov (United States)

Whitfield-Harris, Lisa; Lockhart, Joan Such

2016-01-01

Diversity in academia requires attention, especially with the expected increase in minority populations in the United States (American Association of Colleges of Nursing, (AACN) 2014). Despite theoretical papers that suggest that several challenges are encountered by minority faculty employed in predominately White institutions, a dearth of research on this topic has been published. The purpose of this literature review was to analyze the published research that addressed the workplace environment of African-American faculty employed in predominately White institutions. In utilizing the keywords in various combinations, 236 articles were retrieved through multiple databases. After applying inclusion and exclusion criteria, 15 studies were reviewed with only three related to nursing. Two themes were extracted from the review: 1) the cultural climate of the workplace environment and, 2) underrepresentation of African-American faculty. It is apparent from this review that additional research is needed to understand the experiences of this group of faculty to target effective recruitment and retention strategies.

Mineral Depositions of Calcifying Skin Disorders are Predominantly Composed of Carbonate Apatite

Directory of Open Access Journals (Sweden)

Michael Franzen

2017-08-01

Full Text Available Subcutaneous calcifications can lead to complications, including pain, inflammation, ulceration and immobilization. Studies on the pathophysiology of mineral compositions and effective treatment modalities are limited. We therefore studied 14 patients with subcutaneous calcifications. Mineral material was collected and analysed by Fourier transform infrared spectrometry. Blood analyses were run to evaluate systemic alterations of mineral metabolism. Carbonate apatite (CAP was found to be the single constituent in the majority of patients (n = 9, 64.3%, 3 cases (21.4% had a composition of CAP and calcium oxalate dihydrate and one case had a combination of CAP and magnesium ammonium phosphate, whereas CAP was the major component in all 4 cases. Only one case showed predominantly calcium oxalate. Thus, CAP was found to be the only or predominant component in most cases of subcutaneous calcifications. Chemical analyses of the mineral compositions may aid in the development of new treatment regimes to improve the solubility of mineral components and to decrease extraosseous calcifications.

Robustness and prediction accuracy of machine learning for objective visual quality assessment

OpenAIRE

HINES, ANDREW

2014-01-01

PUBLISHED Lisbon, Portugal Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reli- ability of ML-based techniques within objective quality as- sessment metrics is often questioned. In this study, the ro- bustness of ML in supporting objective quality assessment is investigated, specific...

Longitudinal patterns of predominant asthma disease activity in pediatric patients enrolled in an asthma-specific disease management program.

Science.gov (United States)

Scott, Lyne; Nichols, Breck; Choi Kwong, Kenny Yat; Morphew, Tricia; Jones, Craig A

2008-08-01

To determine if patterns of predominant asthma disease activity are more closely related than baseline asthma severity to measures of morbidity (acute asthma attack, emergency room visit/hospitalization, missed school days, and/or steroid burst). Retrospective analysis was performed for inner-city Los Angeles asthmatic children (3 to 18 years of age) during their first year of enrollment in an asthma-specific disease management program. All measures of morbidity were more closely related to patterns of predominant disease activity than baseline severity. We conclude that patterns of predominant disease activity are a more significant predictor of asthma morbidity than is baseline severity.

Computer-enhanced visual learning method: a paradigm to teach and document surgical skills.

Science.gov (United States)

Maizels, Max; Mickelson, Jennie; Yerkes, Elizabeth; Maizels, Evelyn; Stork, Rachel; Young, Christine; Corcoran, Julia; Holl, Jane; Kaplan, William E

2009-09-01

Changes in health care are stimulating residency training programs to develop new methods for teaching surgical skills. We developed Computer-Enhanced Visual Learning (CEVL) as an innovative Internet-based learning and assessment tool. The CEVL method uses the educational procedures of deliberate practice and performance to teach and learn surgery in a stylized manner. CEVL is a learning and assessment tool that can provide students and educators with quantitative feedback on learning a specific surgical procedure. Methods involved examine quantitative data of improvement in surgical skills. Herein, we qualitatively describe the method and show how program directors (PDs) may implement this technique in their residencies. CEVL allows an operation to be broken down into teachable components. The process relies on feedback and remediation to improve performance, with a focus on learning that is applicable to the next case being performed. CEVL has been shown to be effective for teaching pediatric orchiopexy and is being adapted to additional adult and pediatric procedures and to office examination skills. The CEVL method is available to other residency training programs.

Learning Recruits Neurons Representing Previously Established Associations in the Corvid Endbrain.

Science.gov (United States)

Veit, Lena; Pidpruzhnykova, Galyna; Nieder, Andreas

2017-10-01

Crows quickly learn arbitrary associations. As a neuronal correlate of this behavior, single neurons in the corvid endbrain area nidopallium caudolaterale (NCL) change their response properties during association learning. In crows performing a delayed association task that required them to map both familiar and novel sample pictures to the same two choice pictures, NCL neurons established a common, prospective code for associations. Here, we report that neuronal tuning changes during learning were not distributed equally in the recorded population of NCL neurons. Instead, such learning-related changes relied almost exclusively on neurons which were already encoding familiar associations. Only in such neurons did behavioral improvements during learning of novel associations coincide with increasing selectivity over the learning process. The size and direction of selectivity for familiar and newly learned associations were highly correlated. These increases in selectivity for novel associations occurred only late in the delay period. Moreover, NCL neurons discriminated correct from erroneous trial outcome based on feedback signals at the end of the trial, particularly in newly learned associations. Our results indicate that task-relevant changes during association learning are not distributed within the population of corvid NCL neurons but rather are restricted to a specific group of association-selective neurons. Such association neurons in the multimodal cognitive integration area NCL likely play an important role during highly flexible behavior in corvids.

Vertigo as a Predominant Manifestation of Neurosarcoidosis

Directory of Open Access Journals (Sweden)

Tasnim F. Imran

2015-01-01

Full Text Available Sarcoidosis is a granulomatous disease of unknown etiology that affects multiple organ systems. Neurological manifestations of sarcoidosis are less common and can include cranial neuropathies and intracranial lesions. We report the case of a 21-year-old man who presented with vertigo and uveitis. Extensive workup including brain imaging revealed enhancing focal lesions. A lacrimal gland biopsy confirmed the diagnosis of sarcoidosis. The patient was initially treated with prednisone, which did not adequately control his symptoms, and then was switched to methotrexate with moderate symptomatic improvement. Our patient had an atypical presentation with vertigo as the predominant manifestation of sarcoidosis. Patients with neurosarcoidosis typically present with systemic involvement of sarcoidosis followed by neurologic involvement. Vertigo is rarely reported as an initial manifestation. This case highlights the importance of consideration of neurosarcoidosis as an entity even in patients that may not have a typical presentation or systemic involvement of disease.

Social Functioning in Predominantly Inattentive and Combined Subtypes of Children with ADHD

Science.gov (United States)

Solanto, Mary V.; Pope-Boyd, Sabrina A.; Tryon, Warren W.; Stepak, Brenda

2009-01-01

Objective: The objective of this study was to compare the social functioning of children with the Combined (CB) and Predominantly Inattentive (PI) subtypes of Attention Deficit/Hyperactivity Disorder (ADHD), controlling for comorbidity and medication-status, which may have confounded the results of previous research. Method: Parents and teachers…

Emotional pedagogy and the gendering of social and emotional learning

OpenAIRE

Evans, Rhiannon Emily

2017-01-01

Social and emotional learning (SEL) has predominantly been conceptualised as a neurological process, which has precluded understanding of how social, cultural and material discourses inform the expression of emotional experiences. Gender remains a notable omission. This article explores the micro-practices through which gender structures the development of young people’s emotional subjectivities within the context of a school-based SEL intervention. Particular emphasis is placed on the gender...

e-Learning, e-Books and Virtual Reference Service: The Nexus between the Library and Education

Science.gov (United States)

Nicholas, Pauline; White, Thelma

2012-01-01

The society relies on institutions of higher education to produce a literate workforce; one that is able to function in a dynamic, technological, information-overload environment. In support of this new thrust, most universities have incorporated the use of new media and ICTs in the teaching learning process resulting in a multi-modal approach…

Automated analysis of high-content microscopy data with deep learning.

Science.gov (United States)

Kraus, Oren Z; Grys, Ben T; Ba, Jimmy; Chong, Yolanda; Frey, Brendan J; Boone, Charles; Andrews, Brenda J

2017-04-18

Existing computational pipelines for quantitative analysis of high-content microscopy data rely on traditional machine learning approaches that fail to accurately classify more than a single dataset without substantial tuning and training, requiring extensive analysis. Here, we demonstrate that the application of deep learning to biological image data can overcome the pitfalls associated with conventional machine learning classifiers. Using a deep convolutional neural network (DeepLoc) to analyze yeast cell images, we show improved performance over traditional approaches in the automated classification of protein subcellular localization. We also demonstrate the ability of DeepLoc to classify highly divergent image sets, including images of pheromone-arrested cells with abnormal cellular morphology, as well as images generated in different genetic backgrounds and in different laboratories. We offer an open-source implementation that enables updating DeepLoc on new microscopy datasets. This study highlights deep learning as an important tool for the expedited analysis of high-content microscopy data. © 2017 The Authors. Published under the terms of the CC BY 4.0 license.

From inverse problems to learning: a Statistical Mechanics approach

Science.gov (United States)

Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo

2018-01-01

We present a brief introduction to the statistical mechanics approaches for the study of inverse problems in data science. We then provide concrete new results on inferring couplings from sampled configurations in systems characterized by an extensive number of stable attractors in the low temperature regime. We also show how these result are connected to the problem of learning with realistic weak signals in computational neuroscience. Our techniques and algorithms rely on advanced mean-field methods developed in the context of disordered systems.

Caution required when relying on a colleague's advice; a comparison between professional advice and evidence from the literature

NARCIS (Netherlands)

Schaafsma, Frederieke; Verbeek, Jos; Hulshof, Carel; van Dijk, Frank

2005-01-01

Background: Occupational Physicians rely especially on advice from colleagues when answering their information demands. On the other hand, Evidence-based Medicine (EBM) promotes the use of up-to-date research literature instead of experts. To find out if there was a difference between expert-based

Culture-Dependent and -Independent Methods to Investigate the Predominant Microorganisms Associated with Wet Processed Coffee.

Science.gov (United States)

Feng, Xiaomin; Dong, Honghong; Yang, Pan; Yang, Ruijuan; Lu, Jun; Lv, Jie; Sheng, Jun

2016-08-01

The fermentation process of Yunnan arabica coffee is a typical wet fermentation. Its excellent quality is closely related to microbes in the process of fermentation. The purpose of this study was to isolate and identify the microorganisms in the wet method of coffee processing in Yunnan Province, China. Microbial community structure and dominant bacterial species were evaluated by traditional cultivated separation method and PCR-DGGE technology, and were further analyzed in combination with the changes of organic acid content, activity of pectinase, and physical parameters (pH and temperature). A large number of microorganisms which can produce pectinase were found. Among them, Enterobacter cowanii, Pantoea agglomerans, Enterobacteriaceae bacterium, and Rahnella aquatilis were the predominant gram-negative bacteria, Bacillus cereus was the predominant gram-positive bacterium, Pichia kluyveri, Hanseniaspora uvarum, and Pichia fermentans were the predominant yeasts, and all those are pectinase-producing microorganisms. As for the contents of organic acids, oxalic was the highest, followed by acetic and lactic acids. Butyrate and propionate, which were unfavorable during the fermentation period, were barely discovered.

Searchers' relevance judgments and criteria in evaluating Web pages in a learning style perspective

DEFF Research Database (Denmark)

Papaeconomou, Chariste; Zijlema, Annemarie F.; Ingwersen, Peter

2008-01-01

The paper presents the results of a case study of searcher's relevance criteria used for assessments of Web pages in a perspective of learning style. 15 test persons participated in the experiments based on two simulated work tasks that provided cover stories to trigger their information needs. Two...... learning styles were examined: Global and Sequential learners. The study applied eye-tracking for the observation of relevance hot spots on Web pages, learning style index analysis and post-search interviews to gain more in-depth information on relevance behavior. Findings reveal that with respect to use......, they are statistically insignificant. When interviewed in retrospective the resulting profiles tend to become even similar across learning styles but a shift occurs from instant assessments with content features of web pages replacing topicality judgments as predominant relevance criteria....

How to Trigger Emergence and Self-Organisation in Learning Networks

Science.gov (United States)

Brouns, Francis; Fetter, Sibren; van Rosmalen, Peter

The previous chapters of this section discussed why the social structure of Learning Networks is important and present guidelines on how to maintain and allow the emergence of communities in Learning Networks. Chapter 2 explains how Learning Networks rely on social interaction and active participations of the participants. Chapter 3 then continues by presenting guidelines and policies that should be incorporated into Learning Network Services in order to maintain existing communities by creating conditions that promote social interaction and knowledge sharing. Chapter 4 discusses the necessary conditions required for knowledge sharing to occur and to trigger communities to self-organise and emerge. As pointed out in Chap. 4, ad-hoc transient communities facilitate the emergence of social interaction in Learning Networks, self-organising them into communities, taking into account personal characteristics, community characteristics and general guidelines. As explained in Chap. 4 community members would benefit from a service that brings suitable people together for a specific purpose, because it will allow the participant to focus on the knowledge sharing process by reducing the effort or costs. In the current chapter, we describe an example of a peer support Learning Network Service based on the mechanism of peer tutoring in ad-hoc transient communities.

Children show right-lateralized effects of spoken word-form learning.

Directory of Open Access Journals (Sweden)

Anni Nora

Full Text Available It is commonly thought that phonological learning is different in young children compared to adults, possibly due to the speech processing system not yet having reached full native-language specialization. However, the neurocognitive mechanisms of phonological learning in children are poorly understood. We employed magnetoencephalography (MEG to track cortical correlates of incidental learning of meaningless word forms over two days as 6-8-year-olds overtly repeated them. Native (Finnish pseudowords were compared with words of foreign sound structure (Korean to investigate whether the cortical learning effects would be more dependent on previous proficiency in the language rather than maturational factors. Half of the items were encountered four times on the first day and once more on the following day. Incidental learning of these recurring word forms manifested as improved repetition accuracy and a correlated reduction of activation in the right superior temporal cortex, similarly for both languages and on both experimental days, and in contrast to a salient left-hemisphere emphasis previously reported in adults. We propose that children, when learning new word forms in either native or foreign language, are not yet constrained by left-hemispheric segmental processing and established sublexical native-language representations. Instead, they may rely more on supra-segmental contours and prosody.

Active Learning Strategies for Phenotypic Profiling of High-Content Screens.

Science.gov (United States)

Smith, Kevin; Horvath, Peter

2014-06-01

High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.

Transfer of learning in binary decision making problems.

OpenAIRE

Robotti, O. P.

2007-01-01

Transfer, the use of acquired knowledge, skills and abilities across tasks and contexts, is a key and elusive goal of learning. Most evidence available in literature is based on a limited number of tasks, predominantly open-ended problems, game-like problems and taught school subjects (e.g. maths, physics, algebra). It is not obvious that findings from this work can be extended to the domain of decision making problems. This thesis, which aims to broaden the understanding of enhancing and lim...

Empirical evidence of the effectiveness of concept mapping as a learning intervention for nuclear medicine technology students in a distance learning radiation protection and biology course.

Science.gov (United States)

Passmore, Gregory G; Owen, Mary Anne; Prabakaran, Krishnan

2011-12-01

Metacognitive learning strategies are based on instructional learning theory, which promotes deep, meaningful learning. Educators in a baccalaureate-level nuclear medicine technology program demonstrated that students enrolled in an online, distance learning section of an introductory radiation protection and radiobiology course performed better when traditional instruction was supplemented with nontraditional metacognitive learning strategies. The metacognitive learning strategy that was used is best known as concept mapping. The concept map, in addition to the standard homework problem assignment and opportunity for question-answer sessions, became the template for misconception identification and remediation interactions between the instructor and the student. The control group relied on traditional homework problems and question-answer sessions alone. Because students in both the "treatment" groups (i.e., students who used concept mapping) and the control group were distance learning students, all personal communications were conducted via e-mail or telephone. The final examination of the course was used to facilitate a quantitative comparison of the performance of students who used concept mapping and the performance of students who did not use concept mapping. The results demonstrated a significantly higher median final examination score for the concept mapping group than for the non-concept mapping group (z = -2.0381, P = 0.0415), with an appropriately large effect size (2.65). Concept mapping is a cognitive learning intervention that effectively enables meaningful learning and is suitable for use in the independent learner-oriented distance learning environments used by some nuclear medicine technology programs.

Predominant Bacteria Detected from the Middle Ear Fluid of Children Experiencing Otitis Media: A Systematic Review.

Science.gov (United States)

Ngo, Chinh C; Massa, Helen M; Thornton, Ruth B; Cripps, Allan W

2016-01-01

Otitis media (OM) is amongst the most common childhood diseases and is associated with multiple microbial pathogens within the middle ear. Global and temporal monitoring of predominant bacterial pathogens is important to inform new treatment strategies, vaccine development and to monitor the impact of vaccine implementation to improve progress toward global OM prevention. A systematic review of published reports of microbiology of acute otitis media (AOM) and otitis media with effusion (OME) from January, 1970 to August 2014, was performed using PubMed databases. This review confirmed that Streptococcus pneumoniae and Haemophilus influenzae, remain the predominant bacterial pathogens, with S. pneumoniae the predominant bacterium in the majority reports from AOM patients. In contrast, H. influenzae was the predominant bacterium for patients experiencing chronic OME, recurrent AOM and AOM with treatment failure. This result was consistent, even where improved detection sensitivity from the use of polymerase chain reaction (PCR) rather than bacterial culture was conducted. On average, PCR analyses increased the frequency of detection of S. pneumoniae and H. influenzae 3.2 fold compared to culture, whilst Moraxella catarrhalis was 4.5 times more frequently identified by PCR. Molecular methods can also improve monitoring of regional changes in the serotypes and identification frequency of S. pneumoniae and H. influenzae over time or after vaccine implementation, such as after introduction of the 7-valent pneumococcal conjugate vaccine. Globally, S. pneumoniae and H. influenzae remain the predominant otopathogens associated with OM as identified through bacterial culture; however, molecular methods continue to improve the frequency and accuracy of detection of individual serotypes. Ongoing monitoring with appropriate detection methods for OM pathogens can support development of improved vaccines to provide protection from the complex combination of otopathogens within

Predominant Bacteria Detected from the Middle Ear Fluid of Children Experiencing Otitis Media: A Systematic Review

Science.gov (United States)

Ngo, Chinh C.; Massa, Helen M.; Thornton, Ruth B.; Cripps, Allan W.

2016-01-01

Background Otitis media (OM) is amongst the most common childhood diseases and is associated with multiple microbial pathogens within the middle ear. Global and temporal monitoring of predominant bacterial pathogens is important to inform new treatment strategies, vaccine development and to monitor the impact of vaccine implementation to improve progress toward global OM prevention. Methods A systematic review of published reports of microbiology of acute otitis media (AOM) and otitis media with effusion (OME) from January, 1970 to August 2014, was performed using PubMed databases. Results This review confirmed that Streptococcus pneumoniae and Haemophilus influenzae, remain the predominant bacterial pathogens, with S. pneumoniae the predominant bacterium in the majority reports from AOM patients. In contrast, H. influenzae was the predominant bacterium for patients experiencing chronic OME, recurrent AOM and AOM with treatment failure. This result was consistent, even where improved detection sensitivity from the use of polymerase chain reaction (PCR) rather than bacterial culture was conducted. On average, PCR analyses increased the frequency of detection of S. pneumoniae and H. influenzae 3.2 fold compared to culture, whilst Moraxella catarrhalis was 4.5 times more frequently identified by PCR. Molecular methods can also improve monitoring of regional changes in the serotypes and identification frequency of S. pneumoniae and H. influenzae over time or after vaccine implementation, such as after introduction of the 7-valent pneumococcal conjugate vaccine. Conclusions Globally, S. pneumoniae and H. influenzae remain the predominant otopathogens associated with OM as identified through bacterial culture; however, molecular methods continue to improve the frequency and accuracy of detection of individual serotypes. Ongoing monitoring with appropriate detection methods for OM pathogens can support development of improved vaccines to provide protection from the

Pulmonary microRNA profiling: implications in upper lobe predominant lung disease

OpenAIRE

Armstrong, David A.; Nymon, Amanda B.; Ringelberg, Carol S.; Lesseur, Corina; Hazlett, Haley F.; Howard, Louisa; Marsit, Carmen J.; Ashare, Alix

2017-01-01

Background Numerous pulmonary diseases manifest with upper lobe predominance including cystic fibrosis, smoking-related chronic obstructive pulmonary disease, and tuberculosis. Zonal hypoxia, characteristic of these pulmonary maladies, and oxygen stress in general is known to exert profound effects on various important aspects of cell biology. Lung macrophages are major participants in the pulmonary innate immune response and regional differences in macrophage responsiveness to hypoxia may co...

Event timing in associative learning: from biochemical reaction dynamics to behavioural observations.

Directory of Open Access Journals (Sweden)

Ayse Yarali

Full Text Available Associative learning relies on event timing. Fruit flies for example, once trained with an odour that precedes electric shock, subsequently avoid this odour (punishment learning; if, on the other hand the odour follows the shock during training, it is approached later on (relief learning. During training, an odour-induced Ca(++ signal and a shock-induced dopaminergic signal converge in the Kenyon cells, synergistically activating a Ca(++-calmodulin-sensitive adenylate cyclase, which likely leads to the synaptic plasticity underlying the conditioned avoidance of the odour. In Aplysia, the effect of serotonin on the corresponding adenylate cyclase is bi-directionally modulated by Ca(++, depending on the relative timing of the two inputs. Using a computational approach, we quantitatively explore this biochemical property of the adenylate cyclase and show that it can generate the effect of event timing on associative learning. We overcome the shortage of behavioural data in Aplysia and biochemical data in Drosophila by combining findings from both systems.

African fermented dairy products - Overview of predominant technologically important microorganisms focusing on African Streptococcus infantarius variants and potential future applications for enhanced food safety and security.

Science.gov (United States)

Jans, Christoph; Meile, Leo; Kaindi, Dasel Wambua Mulwa; Kogi-Makau, Wambui; Lamuka, Peter; Renault, Pierre; Kreikemeyer, Bernd; Lacroix, Christophe; Hattendorf, Jan; Zinsstag, Jakob; Schelling, Esther; Fokou, Gilbert; Bonfoh, Bassirou

2017-06-05

Milk is a major source of nutrients, but can also be a vehicle for zoonotic foodborne diseases, especially when raw milk is consumed. In Africa, poor processing and storage conditions contribute to contamination, outgrowth and transmission of pathogens, which lead to spoilage, reduced food safety and security. Fermentation helps mitigate the impact of poor handling and storage conditions by enhancing shelf life and food safety. Traditionally-fermented sour milk products are culturally accepted and widely distributed in Africa, and rely on product-specific microbiota responsible for aroma, flavor and texture. Knowledge of microbiota and predominant, technologically important microorganisms is critical in developing products with enhanced quality and safety, as well as sustainable interventions for these products, including Africa-specific starter culture development. This narrative review summarizes current knowledge of technologically-important microorganisms of African fermented dairy products (FDP) and raw milk, taking into consideration novel findings and taxonomy when re-analyzing data of 29 publications covering 25 products from 17 African countries. Technologically-important lactic acid bacteria such as Lactococcus lactis and Streptococcus infantarius subsp. infantarius (Sii), Lactobacillus spp. and yeasts predominated in raw milk and FDP across Africa. Re-analysis of data also suggests a much wider distribution of Sii and thus a potentially longer history of use than previously expected. Therefore, evaluating the role and safety of African Sii lineages is important when developing interventions and starter cultures for FDP in Africa to enhance food safety and food security. In-depth functional genomics, epidemiologic investigations and latest identification approaches coupled with stakeholder involvement will be required to evaluate the possibility of African Sii lineages as novel food-grade Streptococcus lineage. Copyright © 2017 The Authors. Published by

Digital Storytelling: Conveying the Essence of a Face-to-Face Lecture in an Online Learning Environment

Science.gov (United States)

Baim, Susan A

2015-01-01

As the percentage of university-level courses delivered online continues to increase, instructors who rely on storytelling approaches to convey key concepts in lecture-based coursework will likely face the need to translate their oral storytelling modules into one or more formats that are suitable for use in an online learning environment. While…

Learning by stimulation avoidance: A principle to control spiking neural networks dynamics.

Science.gov (United States)

Sinapayen, Lana; Masumori, Atsushi; Ikegami, Takashi

2017-01-01

Learning based on networks of real neurons, and learning based on biologically inspired models of neural networks, have yet to find general learning rules leading to widespread applications. In this paper, we argue for the existence of a principle allowing to steer the dynamics of a biologically inspired neural network. Using carefully timed external stimulation, the network can be driven towards a desired dynamical state. We term this principle "Learning by Stimulation Avoidance" (LSA). We demonstrate through simulation that the minimal sufficient conditions leading to LSA in artificial networks are also sufficient to reproduce learning results similar to those obtained in biological neurons by Shahaf and Marom, and in addition explains synaptic pruning. We examined the underlying mechanism by simulating a small network of 3 neurons, then scaled it up to a hundred neurons. We show that LSA has a higher explanatory power than existing hypotheses about the response of biological neural networks to external simulation, and can be used as a learning rule for an embodied application: learning of wall avoidance by a simulated robot. In other works, reinforcement learning with spiking networks can be obtained through global reward signals akin simulating the dopamine system; we believe that this is the first project demonstrating sensory-motor learning with random spiking networks through Hebbian learning relying on environmental conditions without a separate reward system.

A Formal Semantics for Concept Understanding relying on Description Logics

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

In this research, Description Logics (DLs) will be employed for logical description, logical characterisation, logical modelling and ontological description of concept understanding in terminological systems. It’s strongly believed that using a formal descriptive logic could support us in reveali...... logical assumptions whose discovery may lead us to a better understanding of ‘concept understanding’. The Structure of Observed Learning Outcomes (SOLO) model as an appropriate model of increasing complexity of humans’ understanding has supported the formal analysis....

A Formal Semantics for Concept Understanding relying on Description Logics

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

logical assumptions whose discovery may lead us to a better understanding of ‘concept understanding’. The Structure of Observed Learning Outcomes (SOLO) model as an appropriate model of increasing complexity of humans’ understanding has supported the formal analysis.......In this research, Description Logics (DLs) will be employed for logical description, logical characterisation, logical modelling and ontological description of concept understanding in terminological systems. It’s strongly believed that using a formal descriptive logic could support us in revealing...

Learning styles of postgraduate and undergraduate medical students.

Science.gov (United States)

Shukr, Irfan; Zainab, Roop; Rana, Mowadat H

2013-01-01

To compare learning styles of undergraduate and postgraduate medical students. Observational, comparative study. Department of Medical Education, Army Medical College, NUST, Rawalpindi, Pakistan, during February and March 2012. A total of 170 students were divided into two equal groups of undergraduate students of Army Medical College, and postgraduate students of Armed Forces Post Graduate Medical Institute, Rawalpindi. Learning Style Questionnaire (LSQ) was used to assess and categorize the participants into Honey and Mumford classification of learning styles. The responses of each student ranging from 'very strong,' 'strong', 'moderate', and 'low' preference towards activist, theorist, reflector and pragmatist learning styles were compiled. The two groups were compared using SPSS version 17, using Fisher's exact test and the chi-square test. A p-value of $lt; 0.05 was considered significant. Preferences for all four learning styles were present in both groups. The results reveal an overall statistically significant difference in the 'very strong' preference in learning styles between the two study groups (p=0.002). Among the undergraduate students, 45% had a very strong preference for being an activist, whereas in postgraduate students, 38% had very strong preference for reflector, and 35% for theorist. This was statistically significant for activist, and reflector, and attained a p-value of learning style was pragmatist in both undergraduate and postgraduate students. Diversity of learning styles at undergraduate and postgraduate level of medical education calls for multiplicity of instructional and assessment modalities to match them. The learning styles amongst the undergraduate medical students are different from the postgraduates. The postgraduates commonly have the reflector learning style while the undergraduates are predominantly activists and theorists.

Abdominal pain-predominant functional gastrointestinal diseases in children and adolescents: prevalence, symptomatology, and association with emotional stress.

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Devanarayana, Niranga Manjuri; Mettananda, Sachith; Liyanarachchi, Chathurangi; Nanayakkara, Navoda; Mendis, Niranjala; Perera, Nimnadi; Rajindrajith, Shaman

2011-12-01

Functional gastrointestinal disorders (FGD) are common among children, but little is known regarding their prevalence in developing countries. We assessed the prevalence of abdominal pain-predominant FGD, in addition to the predisposing factors and symptomatology, in Sri Lankan children. A cross-sectional survey was conducted among a randomly selected group of 10- to 16-year-olds in 8 randomly selected schools in 4 provinces in Sri Lanka. A validated, self-administered questionnaire was completed by children independently in an examination setting. FGD were diagnosed using Rome III criteria. A total of 2180 questionnaires were distributed and 2163 (99.2%) were included in the analysis (1189 [55%] boys, mean age 13.4 years, standard deviation 1.8 years). Of them, 270 (12.5%) had at least 1 abdominal pain-predominant FGD. Irritable bowel syndrome (IBS) was seen in 107 (4.9%), functional dyspepsia in 54 (2.5%), functional abdominal pain in 96 (4.4%), and abdominal migraine (AM) in 21 (1.0%) (2 had AM and functional dyspepsia, 6 had AM and IBS). Extraintestinal symptoms were more common among affected children (P Abdominal pain-predominant FGD were higher in girls and those exposed to stressful events (P Abdominal pain-predominant FGD affects 12.5% of children ages 10 to 16 years and constitutes a significant health problem in Sri Lanka. IBS is the most common FGD subtype present. Abdominal pain-predominant FGD are higher in girls and those exposed to emotional stress. Prevalence of FGD decreased with age. Extraintestinal symptoms are more frequent in affected children.

Ants learn to rely on more informative attributes during decision-making.

Science.gov (United States)

Sasaki, Takao; Pratt, Stephen C

2013-01-01

Evolutionary theory predicts that animals act to maximize their fitness when choosing among a set of options, such as what to eat or where to live. Making the best choice is challenging when options vary in multiple attributes, and animals have evolved a variety of heuristics to simplify the task. Many of these involve ranking or weighting attributes according to their importance. Because the importance of attributes can vary across time and place, animals might benefit by adjusting weights accordingly. Here, we show that colonies of the ant Temnothorax rugatulus use their experience during nest site selection to increase weights on more informative nest attributes. These ants choose their rock crevice nests on the basis of multiple features. After exposure to an environment where only one attribute differentiated options, colonies increased their reliance on this attribute relative to a second attribute. Although many species show experience-based changes in selectivity based on a single feature, this is the first evidence in animals for adaptive changes in the weighting of multiple attributes. These results show that animal collectives, like individuals, change decision-making strategies according to experience. We discuss how these colony-level changes might emerge from individual behaviour.

Jet flavor tagging with Deep Learning using Python

CERN Multimedia

CERN. Geneva

2016-01-01

Besides the part that implements the resulting deep neural net in the ATLAS C++ software framework, a Python framework has been developed to connect HEP data to standard Data Science Python based libraries for Machine Learning. It makes use of HDF5, JSON and Pickle as intermediate data storage format, pandas and numpy for data handling and calculations, Keras for neural net construction and training as well as testing and matplotlib for plotting. It can be seen as an example of taking advantage of outside-HEP software developments without relying on the HEP standard ROOT.

Predicting breast screening attendance using machine learning techniques.

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Baskaran, Vikraman; Guergachi, Aziz; Bali, Rajeev K; Naguib, Raouf N G

2011-03-01

Machine learning-based prediction has been effectively applied for many healthcare applications. Predicting breast screening attendance using machine learning (prior to the actual mammogram) is a new field. This paper presents new predictor attributes for such an algorithm. It describes a new hybrid algorithm that relies on back-propagation and radial basis function-based neural networks for prediction. The algorithm has been developed in an open source-based environment. The algorithm was tested on a 13-year dataset (1995-2008). This paper compares the algorithm and validates its accuracy and efficiency with different platforms. Nearly 80% accuracy and 88% positive predictive value and sensitivity were recorded for the algorithm. The results were encouraging; 40-50% of negative predictive value and specificity warrant further work. Preliminary results were promising and provided ample amount of reasons for testing the algorithm on a larger scale.

A Predominately Female Accounting Profession: Lessons from the Past and Other Professions

Science.gov (United States)

Whitten, Donna

2016-01-01

Currently, the accounting profession is in the process of transitioning from a male dominated profession to a predominantly female one. Other professions that have undergone this switch experienced declines in the status of the profession and the salaries. So, although women have not yet gained equal access to all levels of the accounting…

The Evolution of Social Learning and its Economic Consequences

DEFF Research Database (Denmark)

Bossan, Benjamin; Jann, Ole; Hammerstein, Peter

2015-01-01

to changing environments within one generation by using their respective learning strategy. The frequency of the agent types adapts between generations according to the agents' acquired wealth. During the course of evolution, social learning becomes dominant, resulting in three major effects: First......, for better or worse, the decisions of social learners are more exaggerated than those of individual learners. Second, social learners react with a delay to changes in the environment. Third, the behavior of social learners becomes more and more detached from reality. We argue that our model gives insights......We use an evolutionary model to simulate agents who choose between two options with stochastically varying payoffs. Two types of agents are considered: individual learners, who rely on trial-and-error methods, and social learners, who imitate the wealthiest sampled individual. Agents adapt...

Cooperative Learning about Nature of Science with a Case from the History of Science

Science.gov (United States)

Wolfensberger, Balz; Canella, Claudia

2015-01-01

This paper reports a predominantly qualitative classroom study on cooperative learning about nature of science (NOS) using a case from the history of science. The purpose of the research was to gain insight into how students worked with the historical case study during cooperative group work, how students and teachers assessed the teaching unit,…

A Comparison of Machine Learning Methods in a High-Dimensional Classification Problem

OpenAIRE

Zekić-Sušac, Marijana; Pfeifer, Sanja; Šarlija, Nataša

2014-01-01

Background: Large-dimensional data modelling often relies on variable reduction methods in the pre-processing and in the post-processing stage. However, such a reduction usually provides less information and yields a lower accuracy of the model. Objectives: The aim of this paper is to assess the high-dimensional classification problem of recognizing entrepreneurial intentions of students by machine learning methods. Methods/Approach: Four methods were tested: artificial neural networks, CART ...

Producing and scrounging during Problem Based Learning

Directory of Open Access Journals (Sweden)

William L. Vickery

2013-08-01

Full Text Available When problem based learning occurs in a social context it is open to a common social behaviour, scrounging. In the animal behaviour literature, scroungers do not attempt to find resources themselves but rather exploit resources found by other group members (referred to as producers. We know from studies of animal behaviour (including humans that scrounging can be expected whenever animals exploit resources in groups. We also know that scrounging can have deleterious effects on the group. We can expect scrounging to occur during social learning because the exchange of information (which I will consider here as a resource is essential to social learning. This exchange can be seen as each individual scrounging from the other members of the group whenever the individual learns from the work of others. However, there is a danger if some individuals learn mostly through their own efforts while others indulge in “social loafing” relying heavily on colleagues to provide knowledge. Here I propose that game theory models developed to analyse feeding in animal societies may also apply to social learning. We know from studies of birds feeding in groups that scrounging behaviour depends on the extent to which resources can be shared. Further, when scrounging is prevalent groups tend to obtain fewer resources. By contrast, in social learning we attempt to facilitate sharing of knowledge. We thus encourage scrounging and run the risk of reducing learning within study groups. Here I analyse the role of scrounging in problem based learning. I argue that scrounging is inherent and necessary to any social learning process. However, it can have perverse effects if the acquisition of facts rather than understanding comes to dominate learning objectives. Further, disparities among individuals within a group can lead certain individuals to specialise in scrounging thus undermining the functioning of the group. I suggest that motivation, problem structure

Beyond Hammers versus Hugs: Leveraging Educator Evaluation and Professional Learning Communities into Job-Embedded Professional Development

Science.gov (United States)

Woodland, Rebecca H.; Mazur, Rebecca

2015-01-01

Educational evaluation (Ed Eval) and professional learning communities (PLCs) are two of the nation's most predominant approaches to widespread instructional improvement. Yet key attributes of these reform initiatives are too often experienced by teachers as burdensome, or even detrimental, rather than helpful. The authors of this article contend…

Bilinguals' Existing Languages Benefit Vocabulary Learning in a Third Language.

Science.gov (United States)

Bartolotti, James; Marian, Viorica

2017-03-01

Learning a new language involves substantial vocabulary acquisition. Learners can accelerate this process by relying on words with native-language overlap, such as cognates. For bilingual third language learners, it is necessary to determine how their two existing languages interact during novel language learning. A scaffolding account predicts transfer from either language for individual words, whereas an accumulation account predicts cumulative transfer from both languages. To compare these accounts, twenty English-German bilingual adults were taught an artificial language containing 48 novel written words that varied orthogonally in English and German wordlikeness (neighborhood size and orthotactic probability). Wordlikeness in each language improved word production accuracy, and similarity to one language provided the same benefit as dual-language overlap. In addition, participants' memory for novel words was affected by the statistical distributions of letters in the novel language. Results indicate that bilinguals utilize both languages during third language acquisition, supporting a scaffolding learning model.

Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning.

Science.gov (United States)

Liu, Weirong; Zhuang, Peng; Liang, Hao; Peng, Jun; Huang, Zhiwu; Weirong Liu; Peng Zhuang; Hao Liang; Jun Peng; Zhiwu Huang; Liu, Weirong; Liang, Hao; Peng, Jun; Zhuang, Peng; Huang, Zhiwu

2018-06-01

Microgrids incorporated with distributed generation (DG) units and energy storage (ES) devices are expected to play more and more important roles in the future power systems. Yet, achieving efficient distributed economic dispatch in microgrids is a challenging issue due to the randomness and nonlinear characteristics of DG units and loads. This paper proposes a cooperative reinforcement learning algorithm for distributed economic dispatch in microgrids. Utilizing the learning algorithm can avoid the difficulty of stochastic modeling and high computational complexity. In the cooperative reinforcement learning algorithm, the function approximation is leveraged to deal with the large and continuous state spaces. And a diffusion strategy is incorporated to coordinate the actions of DG units and ES devices. Based on the proposed algorithm, each node in microgrids only needs to communicate with its local neighbors, without relying on any centralized controllers. Algorithm convergence is analyzed, and simulations based on real-world meteorological and load data are conducted to validate the performance of the proposed algorithm.

Lifelong learning: Established concepts and evolving values.

Science.gov (United States)

Talati, Jamsheer Jehangir

2014-03-01

To summarise the concepts critical for understanding the content and value of lifelong learning (LL). Ideas generated by personal experience were combined with those of philosophers, social scientists, educational institutions, governments and UNESCO, to facilitate an understanding of the importance of the basic concepts of LL. Autopoietic, continuous, self-determined, informal, vicarious, biographical, lifelong reflexive learning, from and for society, when supported by self-chosen formal courses, can build capacities and portable skills that allow useful responses to challenges and society's new structures of governance. The need for LL is driven by challenges. LL flows continuously in pursuit of one agenda, which could either be citizenship, as is conventional, or as this article proposes, health. LL cannot be wholly centred on vocation. Continuous medical education and continuous professional development, important in their own right, cannot supply all that is needed. LL aids society with its learning, and it requires an awareness of the environment and structures of society. It is heavily vicarious, draws on formal learning and relies for effectiveness on reflection, self-assessment and personal shaping of views of the world from different perspectives. Health is critical to rational thought and peace, and determines society's capacity to govern itself, and improve its health. LL should be reshaped to focus on health not citizenship. Therefore, embedding learning in society and environment is critical. Each urologist must develop an understanding of the numerous concepts in LL, of which 'biographicisation' is the seed that will promote innovative strategies.

Impacts of the Test of English Listening Comprehension on Students' English Learning Expectations in Taiwan

Science.gov (United States)

Chou, Mu-Hsuan

2015-01-01

In Taiwan, English language learning in senior high school has predominantly focused on reading, with a heavy emphasis on memorising vocabulary and grammar rules. English listening has been marginalised and is not officially taught until the first year of university. In 2012, the Joint Board of College Recruitment Commission in Taiwan passed…

Anemia predicts thromboembolic events, bleeding complications and mortality in patients with atrial fibrillation : insights from the RE-LY trial

NARCIS (Netherlands)

Westenbrink, B. D.; Alings, M.; Connolly, S. J.; Eikelboom, J.; Ezekowitz, M. D.; Oldgren, J.; Yang, S.; Pongue, J.; Yusuf, S.; Wallentin, L.; van Gilst, W. H.

BackgroundAnemia may predispose to thromboembolic events or bleeding in anticoagulated patients with atrial fibrillation (AF). ObjectivesTo investigate whether anemia is associated with thromboembolic events and bleeding in patients with AF. Patients and methodsWe retrospectively analyzed the RE-LY

The Lived Experience of Black Nurse Faculty in Predominantly White Schools of Nursing.

Science.gov (United States)

Whitfield-Harris, Lisa; Lockhart, Joan Such; Zoucha, Richard; Alexander, Rumay

2017-03-01

This study explored the experiences of Black nurse faculty employed in predominantly White schools of nursing. High attrition rates of this group were noted in previous literature. Understanding their experiences is important to increase nurse diversity. Hermeneutic phenomenology was used to explore the experiences of 15 Black nurse faculty using interviews. Four themes were extracted as the following: cultural norms of the workplace, coping with improper assets, life as a "Lone Ranger," and surviving the workplace environment. The study provided insight to understand the meaning that Black faculty members give to their experiences working in predominantly White schools of nursing. Findings exemplify the need to improve culturally competent work environments and mentoring programs. Results suggest that better communication and proper respect from students, colleagues, and administrators are necessary. The limited research on this topic illustrates that Black nurse faculty remain under investigated; research is necessary to determine effective change strategies.

Superior short-term learning effect of visual and sensory organisation ability when sensory information is unreliable in adolescent rhythmic gymnasts.

Science.gov (United States)

Chen, Hui-Ya; Chang, Hsiao-Yun; Ju, Yan-Ying; Tsao, Hung-Ting

2017-06-01

Rhythmic gymnasts specialise in dynamic balance under sensory conditions of numerous somatosensory, visual, and vestibular stimulations. This study investigated whether adolescent rhythmic gymnasts are superior to peers in Sensory Organisation test (SOT) performance, which quantifies the ability to maintain standing balance in six sensory conditions, and explored whether they plateaued faster during familiarisation with the SOT. Three and six sessions of SOTs were administered to 15 female rhythmic gymnasts (15.0 ± 1.8 years) and matched peers (15.1 ± 2.1 years), respectively. The gymnasts were superior to their peers in terms of fitness measures, and their performance was better in the SOT equilibrium score when visual information was unreliable. The SOT learning effects were shown in more challenging sensory conditions between Sessions 1 and 2 and were equivalent in both groups; however, over time, the gymnasts gained marginally significant better visual ability and relied less on visual sense when unreliable. In conclusion, adolescent rhythmic gymnasts have generally the same sensory organisation ability and learning rates as their peers. However, when visual information is unreliable, they have superior sensory organisation ability and learn faster to rely less on visual sense.

Modeling Music Emotion Judgments Using Machine Learning Methods

Directory of Open Access Journals (Sweden)

Naresh N. Vempala

2018-01-01

Full Text Available Emotion judgments and five channels of physiological data were obtained from 60 participants listening to 60 music excerpts. Various machine learning (ML methods were used to model the emotion judgments inclusive of neural networks, linear regression, and random forests. Input for models of perceived emotion consisted of audio features extracted from the music recordings. Input for models of felt emotion consisted of physiological features extracted from the physiological recordings. Models were trained and interpreted with consideration of the classic debate in music emotion between cognitivists and emotivists. Our models supported a hybrid position wherein emotion judgments were influenced by a combination of perceived and felt emotions. In comparing the different ML approaches that were used for modeling, we conclude that neural networks were optimal, yielding models that were flexible as well as interpretable. Inspection of a committee machine, encompassing an ensemble of networks, revealed that arousal judgments were predominantly influenced by felt emotion, whereas valence judgments were predominantly influenced by perceived emotion.

Competing Values Framework: A useful tool to define the predominant culture in a maternity setting in Australia.

Science.gov (United States)

Adams, Catherine; Dawson, Angela; Foureur, Maralyn

2017-04-01

To identify the predominant culture of an organisation which could then assess readiness for change. An exploratory design using the Competing Values Framework (CVF) as a self-administered survey tool. The Maternity Unit in one Australian metropolitan tertiary referral hospital. All 120 clinicians (100 midwives and 20 obstetricians) employed in the maternity service were invited to participate; 26% responded. The identification of the predominant culture of an organisation to assess readiness for change prior to the implementation of a new policy. The predominant culture of this maternity unit, as described by those who responded to the survey, was one of hierarchy with a focus on rules and regulations and less focus on innovation, flexibility and teamwork. These results suggest that this unit did not have readiness to change. There is value in undertaking preparatory work to gain a better understanding of the characteristics of an organisation prior to designing and implementing change. This understanding can influence additional preliminary work that may be required to increase the readiness for change and therefore increase the opportunity for successful change. The CVF is a useful tool to identify the predominant culture and characteristics of an organisation that could influence the success of change. Copyright © 2016 Australian College of Midwives. All rights reserved.

Critical brain circuits at the intersection between stress and learning.

Science.gov (United States)

Bangasser, Debra A; Shors, Tracey J

2010-07-01

The effects of stressful life experience on learning are pervasive and vary greatly both within and between individuals. It is therefore unlikely that any one mechanism will underlie these complicated processes. Nonetheless, without identifying the necessary and sufficient circuitry, no complete mechanism or set of mechanisms can be identified. In this review, we provide two anatomical frameworks through which stressful life experience can influence processes related to learning and memory. In the first, stressful experience releases stress hormones, primarily from the adrenals, which directly impact brain areas engaged in learning. In the second, stressful experience indirectly alters the circuits used in learning via intermediary brain regions. Importantly, these intermediary brain regions are not integral to the stress response or learning itself, but rather link the consequences of a stressful experience with circuits used to learn associations. As reviewed, the existing literature provides support for both frameworks, with somewhat more support for the first but sufficient evidence for the latter which involves intermediary structures. Once we determine the circumstances that engage each framework and identify which one is most predominant, we can begin to focus our efforts on describing the neuronal and hormonal mechanisms that operate within these circuits to influence cognitive processes after stressful life experience.

Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration

Science.gov (United States)

Arenas, Ana M.; Sun, Tingxiao

2018-01-01

Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitative devices. Typical control of upper-extremity exoskeletons have relied on switches, force/torque sensors, and surface electromyography (sEMG), but these systems are usually reactionary, and/or rely on entirely hand-tuned parameters. sEMG-based systems may be able to provide anticipatory control, since they interface directly with muscle signals, but typically require expert placement of sensors on muscle bodies. We present an implementation of an adaptive sEMG-based exoskeleton controller that learns a mapping between muscle activation and the desired system state during interaction with a user, generating a personalized sEMG feature classifier to allow for anticipatory control. This system is robust to novice placement of sEMG sensors, as well as subdermal muscle shifts. We validate this method with 18 subjects using a thumb exoskeleton to complete a book-placement task. This learning-from-demonstration system for exoskeleton control allows for very short training times, as well as the potential for improvement in intent recognition over time, and adaptation to physiological changes in the user, such as those due to fatigue. PMID:29401754

Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration

Directory of Open Access Journals (Sweden)

Ho Chit Siu

2018-02-01

Full Text Available Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitative devices. Typical control of upper-extremity exoskeletons have relied on switches, force/torque sensors, and surface electromyography (sEMG, but these systems are usually reactionary, and/or rely on entirely hand-tuned parameters. sEMG-based systems may be able to provide anticipatory control, since they interface directly with muscle signals, but typically require expert placement of sensors on muscle bodies. We present an implementation of an adaptive sEMG-based exoskeleton controller that learns a mapping between muscle activation and the desired system state during interaction with a user, generating a personalized sEMG feature classifier to allow for anticipatory control. This system is robust to novice placement of sEMG sensors, as well as subdermal muscle shifts. We validate this method with 18 subjects using a thumb exoskeleton to complete a book-placement task. This learning-from-demonstration system for exoskeleton control allows for very short training times, as well as the potential for improvement in intent recognition over time, and adaptation to physiological changes in the user, such as those due to fatigue.

Exploiting multiple sources of information in learning an artificial language: human data and modeling.

Science.gov (United States)

Perruchet, Pierre; Tillmann, Barbara

2010-03-01

This study investigates the joint influences of three factors on the discovery of new word-like units in a continuous artificial speech stream: the statistical structure of the ongoing input, the initial word-likeness of parts of the speech flow, and the contextual information provided by the earlier emergence of other word-like units. Results of an experiment conducted with adult participants show that these sources of information have strong and interactive influences on word discovery. The authors then examine the ability of different models of word segmentation to account for these results. PARSER (Perruchet & Vinter, 1998) is compared to the view that word segmentation relies on the exploitation of transitional probabilities between successive syllables, and with the models based on the Minimum Description Length principle, such as INCDROP. The authors submit arguments suggesting that PARSER has the advantage of accounting for the whole pattern of data without ad-hoc modifications, while relying exclusively on general-purpose learning principles. This study strengthens the growing notion that nonspecific cognitive processes, mainly based on associative learning and memory principles, are able to account for a larger part of early language acquisition than previously assumed. Copyright © 2009 Cognitive Science Society, Inc.

The perceptual effects of learning object categories that predict perceptual goals

Science.gov (United States)

Van Gulick, Ana E.; Gauthier, Isabel

2014-01-01

In classic category learning studies, subjects typically learn to assign items to one of two categories, with no further distinction between how items on each side of the category boundary should be treated. In real life, however, we often learn categories that dictate further processing goals, for instance with objects in only one category requiring further individuation. Using methods from category learning and perceptual expertise, we studied the perceptual consequences of experience with objects in tasks that rely on attention to different dimensions in different parts of the space. In two experiments, subjects first learned to categorize complex objects from a single morphspace into two categories based on one morph dimension, and then learned to perform a different task, either naming or a local feature judgment, for each of the two categories. A same-different discrimination test before and after each training measured sensitivity to feature dimensions of the space. After initial categorization, sensitivity increased along the category-diagnostic dimension. After task association, sensitivity increased more for the category that was named, especially along the non-diagnostic dimension. The results demonstrate that local attentional weights, associated with individual exemplars as a function of task requirements, can have lasting effects on perceptual representations. PMID:24820671

Socio-cognitive profiles for visual learning in young and older adults

Directory of Open Access Journals (Sweden)

Julie eChristian

2015-06-01

Full Text Available It is common wisdom that practice makes perfect; but why do some adults learn better than others? Here, we investigate individuals’ cognitive and social profiles to test which variables account for variability in learning ability across the lifespan. In particular, we focused on visual learning using tasks that test the ability to inhibit distractors and select task-relevant features. We tested the ability of young and older adults to improve through training in the discrimination of visual global forms embedded in a cluttered background. Further, we used a battery of cognitive tasks and psycho-social measures to examine which of these variables predict training-induced improvement in perceptual tasks and may account for individual variability in learning ability. Using partial least squares regression modelling, we show that visual learning is influenced by cognitive (i.e. cognitive inhibition, attention and social (strategic and deep learning factors rather than an individual’s age alone. Further, our results show that independent of age, strong learners rely on cognitive factors such as attention, while weaker learners use more general cognitive strategies. Our findings suggest an important role for higher-cognitive circuits involving executive functions that contribute to our ability to improve in perceptual tasks after training across the lifespan.

Can't read my broker face: Learning about trustworthiness with age.

Science.gov (United States)

Rasmussen, Eileen C; Gutchess, Angela

2018-02-05

We assessed how age impacted learning who to trust, and the extent to which this type of learning relied on explicit memory. In contrast to prior studies, target faces were neutral without prior reputational information. Younger and older adults made investment decisions for 36 brokers, who yielded a good, neutral, or bad outcome. Brokers were encountered three times to measure adaptive learning. After the investment task, participants completed a surprise explicit source memory test for brokers. Although younger and older adults learned to distinguish good and bad brokers from neutral ones, older adults did not learn the brokers' behavior as well as younger adults. In addition, explicit source memory was highly correlated with investment decisions, although less so for good brokers for older than younger adults. Findings extend prior work by establishing that older adults' impairments in learning who to trust extend to neutral faces, and highlighting the role of explicit memory in investment performance. Future work should vary the task demands to explore the contribution of explicit and implicit processes. © The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Autonomous Scanning Probe Microscopy in Situ Tip Conditioning through Machine Learning.

Science.gov (United States)

Rashidi, Mohammad; Wolkow, Robert A

2018-05-23

Atomic-scale characterization and manipulation with scanning probe microscopy rely upon the use of an atomically sharp probe. Here we present automated methods based on machine learning to automatically detect and recondition the quality of the probe of a scanning tunneling microscope. As a model system, we employ these techniques on the technologically relevant hydrogen-terminated silicon surface, training the network to recognize abnormalities in the appearance of surface dangling bonds. Of the machine learning methods tested, a convolutional neural network yielded the greatest accuracy, achieving a positive identification of degraded tips in 97% of the test cases. By using multiple points of comparison and majority voting, the accuracy of the method is improved beyond 99%.

Informatics and machine learning to define the phenotype.

Science.gov (United States)

Basile, Anna Okula; Ritchie, Marylyn DeRiggi

2018-03-01

For the past decade, the focus of complex disease research has been the genotype. From technological advancements to the development of analysis methods, great progress has been made. However, advances in our definition of the phenotype have remained stagnant. Phenotype characterization has recently emerged as an exciting area of informatics and machine learning. The copious amounts of diverse biomedical data that have been collected may be leveraged with data-driven approaches to elucidate trait-related features and patterns. Areas covered: In this review, the authors discuss the phenotype in traditional genetic associations and the challenges this has imposed.Approaches for phenotype refinement that can aid in more accurate characterization of traits are also discussed. Further, the authors highlight promising machine learning approaches for establishing a phenotype and the challenges of electronic health record (EHR)-derived data. Expert commentary: The authors hypothesize that through unsupervised machine learning, data-driven approaches can be used to define phenotypes rather than relying on expert clinician knowledge. Through the use of machine learning and an unbiased set of features extracted from clinical repositories, researchers will have the potential to further understand complex traits and identify patient subgroups. This knowledge may lead to more preventative and precise clinical care.

Learning to locate an odour source with a mobile robot

OpenAIRE

Duckett, T.; Axelsson, M.; Saffiotti, A.

2001-01-01

We address the problem of enabling a mobile robot to locate a stationary odour source using an electronic nose constructed from gas sensors. On the hardware side, we use a stereo nose architecture consisting of two parallel chambers, each containing an identical set of sensors. On the software side, we use a recurrent artificial neural network to learn the direction to a stationary source from a time series of sensor readings. This contrasts with previous approaches, that rely on the existenc...

Classrooms and Culture: The Role of Context in Shaping Motivation and Identity for Science Learning in Indigenous Adolescents

Science.gov (United States)

Middleton, Michael; Dupuis, Juliann; Tang, Judy

2013-01-01

Many rural indigenous communities rely on science knowledge and innovation for survival and economic advancement, which requires community members to be motivated for learning science. Children in these communities have been viewed by some as unmotivated due to their low science achievement as they progress in school, particularly into majority…

Brain networks for confidence weighting and hierarchical inference during probabilistic learning.

Science.gov (United States)

Meyniel, Florent; Dehaene, Stanislas

2017-05-09

Learning is difficult when the world fluctuates randomly and ceaselessly. Classical learning algorithms, such as the delta rule with constant learning rate, are not optimal. Mathematically, the optimal learning rule requires weighting prior knowledge and incoming evidence according to their respective reliabilities. This "confidence weighting" implies the maintenance of an accurate estimate of the reliability of what has been learned. Here, using fMRI and an ideal-observer analysis, we demonstrate that the brain's learning algorithm relies on confidence weighting. While in the fMRI scanner, human adults attempted to learn the transition probabilities underlying an auditory or visual sequence, and reported their confidence in those estimates. They knew that these transition probabilities could change simultaneously at unpredicted moments, and therefore that the learning problem was inherently hierarchical. Subjective confidence reports tightly followed the predictions derived from the ideal observer. In particular, subjects managed to attach distinct levels of confidence to each learned transition probability, as required by Bayes-optimal inference. Distinct brain areas tracked the likelihood of new observations given current predictions, and the confidence in those predictions. Both signals were combined in the right inferior frontal gyrus, where they operated in agreement with the confidence-weighting model. This brain region also presented signatures of a hierarchical process that disentangles distinct sources of uncertainty. Together, our results provide evidence that the sense of confidence is an essential ingredient of probabilistic learning in the human brain, and that the right inferior frontal gyrus hosts a confidence-based statistical learning algorithm for auditory and visual sequences.

Brain networks for confidence weighting and hierarchical inference during probabilistic learning

Science.gov (United States)

Meyniel, Florent; Dehaene, Stanislas

2017-01-01

Learning is difficult when the world fluctuates randomly and ceaselessly. Classical learning algorithms, such as the delta rule with constant learning rate, are not optimal. Mathematically, the optimal learning rule requires weighting prior knowledge and incoming evidence according to their respective reliabilities. This “confidence weighting” implies the maintenance of an accurate estimate of the reliability of what has been learned. Here, using fMRI and an ideal-observer analysis, we demonstrate that the brain’s learning algorithm relies on confidence weighting. While in the fMRI scanner, human adults attempted to learn the transition probabilities underlying an auditory or visual sequence, and reported their confidence in those estimates. They knew that these transition probabilities could change simultaneously at unpredicted moments, and therefore that the learning problem was inherently hierarchical. Subjective confidence reports tightly followed the predictions derived from the ideal observer. In particular, subjects managed to attach distinct levels of confidence to each learned transition probability, as required by Bayes-optimal inference. Distinct brain areas tracked the likelihood of new observations given current predictions, and the confidence in those predictions. Both signals were combined in the right inferior frontal gyrus, where they operated in agreement with the confidence-weighting model. This brain region also presented signatures of a hierarchical process that disentangles distinct sources of uncertainty. Together, our results provide evidence that the sense of confidence is an essential ingredient of probabilistic learning in the human brain, and that the right inferior frontal gyrus hosts a confidence-based statistical learning algorithm for auditory and visual sequences. PMID:28439014

Pneumococcal Competence Coordination Relies on a Cell-Contact Sensing Mechanism.

Directory of Open Access Journals (Sweden)

Marc Prudhomme

2016-06-01

Full Text Available Bacteria have evolved various inducible genetic programs to face many types of stress that challenge their growth and survival. Competence is one such program. It enables genetic transformation, a major horizontal gene transfer process. Competence development in liquid cultures of Streptococcus pneumoniae is synchronized within the whole cell population. This collective behavior is known to depend on an exported signaling Competence Stimulating Peptide (CSP, whose action generates a positive feedback loop. However, it is unclear how this CSP-dependent population switch is coordinated. By monitoring spontaneous competence development in real time during growth of four distinct pneumococcal lineages, we have found that competence shift in the population relies on a self-activated cell fraction that arises via a growth time-dependent mechanism. We demonstrate that CSP remains bound to cells during this event, and conclude that the rate of competence development corresponds to the propagation of competence by contact between activated and quiescent cells. We validated this two-step cell-contact sensing mechanism by measuring competence development during co-cultivation of strains with altered capacity to produce or respond to CSP. Finally, we found that the membrane protein ComD retains the CSP, limiting its free diffusion in the medium. We propose that competence initiator cells originate stochastically in response to stress, to form a distinct subpopulation that then transmits the CSP by cell-cell contact.

Using TQM/CQI Processes To Guide Development of Independent and Collaborative Learning in Two Levels of Baccalaureate Nursing Students.

Science.gov (United States)

Grant, LaVerne F.; Kelley, Jane H.; Northington, LaDonna; Barlow, Delores

2002-01-01

Junior and senior nursing students participated in collaborative learning projects developed using total quality management/continuous quality improvement processes. Seniors mentored and evaluated juniors. Feedback from 37 seniors and 53 juniors was predominantly positive; dissatisfaction centered on time issues and misunderstanding of project…

[Scope of the latest RE-LY substudies: clinical implications].

Science.gov (United States)

Ruiz-Giménez Arrieta, N

2012-03-01

The approval of the use of dabiatran in stroke prevention in patients with nonvalvular atrial fibrilation (NVAF) is based on the results of the RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial, one of the largest studies to date in this entity. In this trial, dabigatran showed similar safety and efficacy to warfarin in primary and secondary prevention of stroke in patients with AF. At a dose of 150 mg twice daily, dabigatran was superior to warfarin in the prevention of stroke or systemic embolism and the 110 mg dose twice daily showed similar efficacy and greater safety, given the lower incidence of hemorrhage. These results were consistently found in the various subanalyses, with some slight differences of interest for clinical practice. The ideal candidates for dabiatran are patients with NVAF suitable for cardioversion, who require short periods of anticoagulation, patients in remote geographical areas with difficulty in achieving good anticoagulation control or good control with anti-vitamin K treatment due to IRN fluctuations, and patients with a low risk of hemorrhage and a CHADS score ≥ 3 and/or with prior stroke, whenever there are no contraindications. The choice of dabigatran dose should be evaluated according to the patient's individual characteristics (caution must be exercised when prescribing this drug in the elderly and in renal insufficiency) and embolic and/or hemorrhagic risk. Studies of the long-term safety of this drug, pharmacoeconomic analyses in Spain and post-commercialization pharmacovigilance data are required before the definitive uses of this drug can be established. Copyright © 2012 Elsevier España, S.L. All rights reserved.

Creativity and Social Innovation in the Open and Unpredictable Landscape of ICT and Learning

DEFF Research Database (Denmark)

Østergaard, Rina; Sorensen, Elsebeth Korsgaard

2012-01-01

a number of observations on the nature of creativity, as well as factors that nurture the possibility of creative skill development. These factors include diversity, flexibility, and (a balance between) personalization and collaboration. Pedagogical and learning researchers in the social constructivist...... tradition, have also argued that these elements are of crucial value for learning processes just as a predominantly part of research and theories about innovation are based on the assumption that these factors matters. In this paper we try to benefit from these theoretical fields as inspiration...... and as an early step towards further understanding of the roles and potentials for using open learning contexts and -resources in support of creative and innovative skill development and social innovation in 21st century educations and society....

Learning style preferences of nursing students at two universities in Iran and Malaysia.

Science.gov (United States)

Abdollahimohammad, Abdolghani; Ja'afar, Rogayah

2014-01-01

Learning style preferences vary within the nursing field and there is no consensus on a predominant learning style preference in nursing students. The current study compared the learning style preferences of nursing students at two universities in Iran and Malaysia. A purposive sampling method was used to collect data from the two study populations. Data were collected using the Learning Style Scale (LSS), which is a valid and reliable inventory. The LSS consists of 22 items with five subscales including perceptive, solitary, analytic, imaginative, and competitive. The questionnaires were distributed at the end of the academic year during regular class time for optimum response. The Mann-Whitney U-test was used to compare the learning style preferences between the two study populations. A significant difference was found in perceptive, solitary, and analytic learning styles between two groups of nursing students. However, there was no significant difference in imaginative and competitive learning styles between the two groups. Most of the students were in the middle range of the learning styles. There were similarities and differences in learning style preferences between Zabol Medical Sciences University (ZBMU) and University Sains Malaysia (USM) nursing students. The USM nursing students were more sociable and analytic learners, whereas the ZBMU nursing students were more solitary and perceptive learners.

Quality Computer Assisted Mobile Learning (CAML and Distance Education Leadership in Managing Technology Enhanced Learning Management System (TELMS in the Malaysian Public Tertiary Education

Directory of Open Access Journals (Sweden)

Lee Tan Luck

2009-07-01

Full Text Available Abstract - The success in the implementation of a quality computer assisted mobile learning and distance education in a Technology Enhanced Learning Management System is highly rely on the academic leadership in managing and application of Information and Communication Technology (ICT in the tertiary level. The effectiveness of its leadership, knowledge, application and management of ICT and learning management system is of utmost important. Successful application and management includes quality and cost effectiveness of universities administration, CAML and distance education leadership development, organizational culture, academic staffs and students’ attitude and their commitment towards teaching and learning process, support towards the usage of state of the art techno-educational facilities, availability of ICT resources, maintenance and funding of a Learning Management System. This paper will discuss the above factors, which present a comprehensive framework for the implementation of a quality CAML and distance education environment in ICT application and management in the Malaysian public universities. Selected Fifty-two respondents from two Malaysian public universities which offer e Learning and distance education with Learning Management System were acquired. A survey questionnaire is used to determine the effectiveness of ICT and mobile learning application management. Data from the questionnaires were analyzed by using non-parametric and parametric statistics testing. Results of this study show there is significant different in the CAML and distance education leadership in TELMS and the application of ICT and its management in the Malaysian public universities. The study will also address the implementation elements necessary for transforming the public universities and its CAML and distance education teaching and learning process into an effective and result oriented computer assisted mobile learning management model in public

Low-Dose Involved-Field Radiotherapy as Alternative Treatment of Nodular Lymphocyte Predominance Hodgkin's Lymphoma

International Nuclear Information System (INIS)

Haas, Rick L.M.; Girinsky, Theo; Aleman, Berthe; Henry-Amar, Michel; Boer, Jan-Paul de; Jong, Daphne de

2009-01-01

Purpose: Nodular lymphocyte predominance Hodgkin's lymphoma is a very rare disease, characterized by an indolent clinical course, with sometimes very late relapses occurring in a minority of all patients. Considerable discussion is ongoing on the treatment of primary and relapsed disease. Patients and Methods: A group of 9 patients were irradiated to a dose of 4 Gy on involved areas only. Results: After a median follow-up of 37 months (range, 6-66), the overall response rate was 89%. Six patients had complete remission (67%), two had partial remission (22%), and one had stable disease (11%). Of 8 patients, 5 developed local relapse 9-57 months after radiotherapy. No toxicity was noted. Conclusion: In nodular lymphocyte predominance Hodgkin's lymphoma, low-dose radiotherapy provided excellent response rates and lasting remissions without significant toxicity.

Lights, camera and action: learning necrophilia in a psychiatry movie club.

Science.gov (United States)

Kalra, Gurvinder S

2013-04-01

Kissed (1996) is a serious film that portrays the disturbing and taboo issue of necrophilia in a delicate and viewer friendly way. Being a rare paraphilia, it may sometimes be difficult to get necrophilia related literature or even understand this complex behavior. An interested person may have to rely on the few case reports from forensic journals or law books in order to understand what and how necrophiles do what they do! A movie club can be an interesting and novel way to learn various issues in medicine and psychiatry, including necrophilia. This paper discusses the use of this film in academic sessions in order to learn necrophilia. Copyright © 2012 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Black Female Voices: Self-Presentation Strategies in Doctoral Programs at Predominately White Institutions

Science.gov (United States)

Shavers, Marjorie C.; Moore, James L., III

2014-01-01

Drawing on a larger study, this qualitative investigation uses Black feminist thought as the interpretive lens to investigate perceptions and experiences of African American female doctoral students at predominately White institutions (PWIs). Semistructured interviews were used to gain an understanding of their experiences and how these…

Black African Immigrant College Students' Perceptions of Belonging at a Predominately White Institution

Science.gov (United States)

Stebleton, Michael J.; Aleixo, Marina B.

2016-01-01

A growing number of college-age Blacks in the United States are Black African immigrants. Using a constructivist grounded theory approach, the researchers interviewed 12 undergraduate Black African immigrant college students attending a predominately White institution (PWI) about their experiences and perceptions of belonging. Findings suggest…

Breast milk and energy intake in exclusively, predominantly, and partially breast-fed infants

NARCIS (Netherlands)

Haisma, H; Coward, WA; Albernaz, E; Visser, GH; Wells, JCK; Wright, A; Victoria, CG; Victora, C.G.

2003-01-01

Objective: To investigate the extent to which breast milk is replaced by intake of other liquids or foods, and to estimate energy intake of infants defined as exclusively (EBF), predominantly (PBF) and partially breast-fed (PartBF). Design: Cross-sectional. Setting: Community-based study in urban

KNOWLEDGE TRANSFER AND LEARNING: PROBLEMS OF KNOWLEDGE TRANSFER ASSOCIATED WITH TRYING TO SHORT-CIRCUIT THE LEARNING CYCLE

Directory of Open Access Journals (Sweden)

Sue Newell

2006-11-01

Full Text Available Knowledge is considered to be a key organizational resource in the 21st century and the knowledge management ‘movement’ has alerted organizations to the fact that they should more strategically exploit their knowledge assets. Companies are thus lured by the suggestion that they can gain competitive advantage by the more astute management of their knowledge base and in particular, by the transfer of knowledge across individuals, groups and organizational units, using IT to accomplish this. In this paper, we reflect on this common view of knowledge transfer. More specifically, we question an implication of this view - essentially the possibility of short-circuiting the learning cycle, so that individuals do not have to rely on their personal or shared experiences to identify better practices, but can learn from the codified lessons of others in IT systems. More importantly, we consider the characteristics of knowledge – that knowledge is distributed, ambiguous and disruptive – that makes its transfer highly problematic. Drawing on case research, we relate this to the learning cycle (Kolb 1984 and thereby identify barriers to knowledge transfer. We conclude by considering ways of overcoming these barriers by emphasizing the importance of social systems alongside technical systems.

The relationship between native allophonic experience with vowel duration and perception of the English tense/lax vowel contrast by Spanish and Russian listeners.

Science.gov (United States)

Kondaurova, Maria V; Francis, Alexander L

2008-12-01

Two studies explored the role of native language use of an acoustic cue, vowel duration, in both native and non-native contexts in order to test the hypothesis that non-native listeners' reliance on vowel duration instead of vowel quality to distinguish the English tense/lax vowel contrast could be explained by the role of duration as a cue in native phonological contrasts. In the first experiment, native Russian, Spanish, and American English listeners identified stimuli from a beat/bit continuum varying in nine perceptually equal spectral and duration steps. English listeners relied predominantly on spectrum, but showed some reliance on duration. Russian and Spanish speakers relied entirely on duration. In the second experiment, three tests examined listeners' use of vowel duration in native contrasts. Duration was equally important for the perception of lexical stress for all three groups. However, English listeners relied more on duration as a cue to postvocalic consonant voicing than did native Spanish or Russian listeners, and Spanish listeners relied on duration more than did Russian listeners. Results suggest that, although allophonic experience may contribute to cross-language perceptual patterns, other factors such as the application of statistical learning mechanisms and the influence of language-independent psychoacoustic proclivities cannot be ruled out.

The relationship between native allophonic experience with vowel duration and perception of the English tense∕lax vowel contrast by Spanish and Russian listeners

Science.gov (United States)

Kondaurova, Maria V.; Francis, Alexander L.

2008-01-01

Two studies explored the role of native language use of an acoustic cue, vowel duration, in both native and non-native contexts in order to test the hypothesis that non-native listeners’ reliance on vowel duration instead of vowel quality to distinguish the English tense∕lax vowel contrast could be explained by the role of duration as a cue in native phonological contrasts. In the first experiment, native Russian, Spanish, and American English listeners identified stimuli from a beat∕bit continuum varying in nine perceptually equal spectral and duration steps. English listeners relied predominantly on spectrum, but showed some reliance on duration. Russian and Spanish speakers relied entirely on duration. In the second experiment, three tests examined listeners’ use of vowel duration in native contrasts. Duration was equally important for the perception of lexical stress for all three groups. However, English listeners relied more on duration as a cue to postvocalic consonant voicing than did native Spanish or Russian listeners, and Spanish listeners relied on duration more than did Russian listeners. Results suggest that, although allophonic experience may contribute to cross-language perceptual patterns, other factors such as the application of statistical learning mechanisms and the influence of language-independent psychoacoustic proclivities cannot be ruled out. PMID:19206820

A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning.

Science.gov (United States)

Balavivekanandhan, A; Arulchelvan, S

2015-01-01

The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learning, research studies have only inadequate data to identify the factors that influence their decision to adapt the mobile technology for the purpose of learning. To deal with this space, the present study was undertaken to correlate the IT skills of students with their impact on their acceptance of m-learning. The research study found that the perceived usability along with the usefulness of m-learning impacts the association between IT expertise and the objective of learners' acceptance of m-learning. A survey of 892 students from Engineering, Arts, and Science Colleges found that IT skills influence student's acquisition of m-learning technology. Specialized and advanced skills in mobile technology along with basic skills play a significant role in influencing a student to accept m-learning. But no specific substantiation has been established to support the statement that highly developed IT skills have influenced the students to accept m-learning.

Sabiedriskās attiecības jauno reliģisko kustību praksē. Baznīcas "Jaunā paaudze" gadījuma analīze

OpenAIRE

Maļuha, Sandra

2008-01-01

Izstrādātā bakalaura darba nosaukums ir „Sabiedriskās attiecības jauno reliģisko kustību praksē: baznīcas „Jaunā paaudze” gadījuma analīze”. Darbā aplūkotā pētnieciskā problēma ir jauns, līdz šim maz pētīts fenomens - sabiedrisko attiecību mērķu realizācija jauno reliģisko kustību darbībā. Izvēlētais pētniecības objekts ir baznīca „Jaunā paaudze”, kura, pēc Tieslietu ministrijas Reliģisko lietu pārvaldes sniegtajiem datiem, šobrīd ir lielākā jaunā reliģiskā kustība Latvijā. Teorētiskā pama...

Technology learning in a small open economy-The systems, modelling and exploiting the learning effect

International Nuclear Information System (INIS)

Martinsen, Thomas

2011-01-01

This paper reviews the characteristics of technology learning and discusses its application in energy system modelling in a global-local perspective. Its influence on the national energy system, exemplified by Norway, is investigated using a global and national Markal model. The dynamic nature of the learning system boundary and coupling between the national energy system and the global development and manufacturing system is elaborated. Some criteria important for modelling of spillover are suggested. Particularly, to ensure balance in global energy demand and supply and accurately reflect alternative global pathways spillover for all technologies as well as energy carrier cost/prices should be estimated under the same global scenario. The technology composition, CO 2 emissions and system cost in Norway up to 2050 exhibit sensitivity to spillover. Moreover, spillover may reduce both CO 2 emissions and total system cost. National energy system analysis of low carbon society should therefore consider technology development paths in global policy scenarios. Without the spillover from international deployment a domestic technology relies only on endogenous national learning. However, with high but realistic learning rates offshore floating wind may become cost-efficient even if initially deployed only in Norwegian niche markets. - Research highlights: → Spillover for all technologies should emanate from the same global scenario. → A global model is called for to estimate spillover.→ Spillover may reduce CO 2 emissions and the total system cost in a small open economy. → Off-shore floating wind may become cost-efficient in a national niche market.

Online probabilistic learning with an ensemble of forecasts

Science.gov (United States)

Thorey, Jean; Mallet, Vivien; Chaussin, Christophe

2016-04-01

Our objective is to produce a calibrated weighted ensemble to forecast a univariate time series. In addition to a meteorological ensemble of forecasts, we rely on observations or analyses of the target variable. The celebrated Continuous Ranked Probability Score (CRPS) is used to evaluate the probabilistic forecasts. However applying the CRPS on weighted empirical distribution functions (deriving from the weighted ensemble) may introduce a bias because of which minimizing the CRPS does not produce the optimal weights. Thus we propose an unbiased version of the CRPS which relies on clusters of members and is strictly proper. We adapt online learning methods for the minimization of the CRPS. These methods generate the weights associated to the members in the forecasted empirical distribution function. The weights are updated before each forecast step using only past observations and forecasts. Our learning algorithms provide the theoretical guarantee that, in the long run, the CRPS of the weighted forecasts is at least as good as the CRPS of any weighted ensemble with weights constant in time. In particular, the performance of our forecast is better than that of any subset ensemble with uniform weights. A noteworthy advantage of our algorithm is that it does not require any assumption on the distributions of the observations and forecasts, both for the application and for the theoretical guarantee to hold. As application example on meteorological forecasts for photovoltaic production integration, we show that our algorithm generates a calibrated probabilistic forecast, with significant performance improvements on probabilistic diagnostic tools (the CRPS, the reliability diagram and the rank histogram).

Implicit perceptual-motor skill learning in mild cognitive impairment and Parkinson's disease.

Science.gov (United States)

Gobel, Eric W; Blomeke, Kelsey; Zadikoff, Cindy; Simuni, Tanya; Weintraub, Sandra; Reber, Paul J

2013-05-01

Implicit skill learning is hypothesized to depend on nondeclarative memory that operates independent of the medial temporal lobe (MTL) memory system and instead depends on cortico striatal circuits between the basal ganglia and cortical areas supporting motor function and planning. Research with the Serial Reaction Time (SRT) task suggests that patients with memory disorders due to MTL damage exhibit normal implicit sequence learning. However, reports of intact learning rely on observations of no group differences, leading to speculation as to whether implicit sequence learning is fully intact in these patients. Patients with Parkinson's disease (PD) often exhibit impaired sequence learning, but this impairment is not universally observed. Implicit perceptual-motor sequence learning was examined using the Serial Interception Sequence Learning (SISL) task in patients with amnestic Mild Cognitive Impairment (MCI; n = 11) and patients with PD (n = 15). Sequence learning in SISL is resistant to explicit learning and individually adapted task difficulty controls for baseline performance differences. Patients with MCI exhibited robust sequence learning, equivalent to healthy older adults (n = 20), supporting the hypothesis that the MTL does not contribute to learning in this task. In contrast, the majority of patients with PD exhibited no sequence-specific learning in spite of matched overall task performance. Two patients with PD exhibited performance indicative of an explicit compensatory strategy suggesting that impaired implicit learning may lead to greater reliance on explicit memory in some individuals. The differences in learning between patient groups provides strong evidence in favor of implicit sequence learning depending solely on intact basal ganglia function with no contribution from the MTL memory system.

Competition for resources can explain patterns of social and individual learning in nature.

Science.gov (United States)

Smolla, Marco; Gilman, R Tucker; Galla, Tobias; Shultz, Susanne

2015-09-22

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. © 2015 The Author(s).

Does using active learning in thermodynamics lectures improve students’ conceptual understanding and learning experiences?

International Nuclear Information System (INIS)

Georgiou, H; Sharma, M D

2015-01-01

Encouraging ‘active learning’ in the large lecture theatre emerges as a credible recommendation for improving university courses, with reports often showing significant improvements in learning outcomes. However, the recommendations are based predominantly on studies undertaken in mechanics. We set out to examine those claims in the thermodynamics module of a large first year physics course with an established technique, called interactive lecture demonstrations (ILDs). The study took place at The University of Sydney, where four parallel streams of the thermodynamics module were divided into two streams that experienced the ILDs and two streams that did not. The programme was first implemented in 2011 to gain experience and refine logistical matters and repeated in 2012 with approximately 500 students. A validated survey, the thermal concepts survey, was used as pre-test and post-test to measure learning gains while surveys and interviews provided insights into what the ‘active learning’ meant from student experiences. We analysed lecture recordings to capture the time devoted to different activities in a lecture, including interactivity. The learning gains were in the ‘high gain’ range for the ILD streams and ‘medium gain’ for the other streams. The analysis of the lecture recordings showed that the ILD streams devoted significantly more time to interactivity while surveys and interviews showed that students in the ILD streams were thinking in deep ways. Our study shows that ILDs can make a difference in students’ conceptual understanding as well as their experiences, demonstrating the potential value-add that can be provided by investing in active learning to enhance lectures. (paper)

Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

Science.gov (United States)

Fong, Allan; Howe, Jessica L; Adams, Katharine T; Ratwani, Raj M

2017-01-18

The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of potential HIT-related safety events. However, identifying HIT-related reports can be challenging as they are often categorized under other more predominate clinical categories. This challenge of identifying HIT-related reports is exacerbated by the increasing number and complexity of reports which pose challenges to human annotators that must manually review reports. In this paper, we apply active learning techniques to support classification of patient safety event reports as HIT-related. We evaluated different strategies and demonstrated a 30% increase in average precision of a confirmatory sampling strategy over a baseline no active learning approach after 10 learning iterations.

Observation of peers in learning to write: Practice and research

Directory of Open Access Journals (Sweden)

Rijlaarsdam, Gert

2008-01-01

Full Text Available Elke Van Steendam, Anne Toorenaar,Journal of Writing Research 1(1, 53-83In this paper we discuss the role of observation in learning to write. We argue that the acquisition of skill in such a complex domain as writing relies on observation, the classical imitatio. An important phase in learning to write, at all ages, is learning to write by observing and evaluating relevant processes: writing processes, reading processes or communication processes between writers and readers.First, we present two practical cases: writing lessons in which observation and inquiry are amongst other key elements and where students participate in a community of learners. Then, we review research that may inspire and substantiate proposals for implementing observation as a learning activity in writing education. Two types of studies are discussed: studies in which learners acquire strategies by observing and evaluating writing and reading processes of peers, as a prewriting instructional activity, and studies in which learners are stimulated to 'pre-test' and then revise their first draft, as a post writing instructional activity. The paper closes with some recommendations for further research.

Beyond the learning curve: factors influencing cost reductions in photovoltaics

International Nuclear Information System (INIS)

Nemet, Gregory F.

2006-01-01

The extent and timing of cost-reducing improvements in low-carbon energy systems are important sources of uncertainty in future levels of greenhouse-gas emissions. Models that assess the costs of climate change mitigation policy, and energy policy in general, rely heavily on learning curves to include technology dynamics. Historically, no energy technology has changed more dramatically than photovoltaics (PV), the cost of which has declined by a factor of nearly 100 since the 1950s. Which changes were most important in accounting for the cost reductions that have occurred over the past three decades? Are these results consistent with the notion that learning from experience drove technical change? In this paper, empirical data are assembled to populate a simple model identifying the most important factors affecting the cost of PV. The results indicate that learning from experience, the theoretical mechanism used to explain learning curves, only weakly explains change in the most important factors-plant size, module efficiency, and the cost of silicon. Ways in which the consideration of a broader set of influences, such as technical barriers, industry structure, and characteristics of demand, might be used to inform energy technology policy are discussed

Social Gaming and Learning Applications: A Driving Force for the Future of Virtual and Augmented Reality?

Science.gov (United States)

Dörner, Ralf; Lok, Benjamin; Broll, Wolfgang

Backed by a large consumer market, entertainment and education applications have spurred developments in the fields of real-time rendering and interactive computer graphics. Relying on Computer Graphics methodologies, Virtual Reality and Augmented Reality benefited indirectly from this; however, there is no large scale demand for VR and AR in gaming and learning. What are the shortcomings of current VR/AR technology that prevent a widespread use in these application areas? What advances in VR/AR will be necessary? And what might future “VR-enhanced” gaming and learning look like? Which role can and will Virtual Humans play? Concerning these questions, this article analyzes the current situation and provides an outlook on future developments. The focus is on social gaming and learning.

TELMA: Technology-enhanced learning environment for minimally invasive surgery.

Science.gov (United States)

Sánchez-González, Patricia; Burgos, Daniel; Oropesa, Ignacio; Romero, Vicente; Albacete, Antonio; Sánchez-Peralta, Luisa F; Noguera, José F; Sánchez-Margallo, Francisco M; Gómez, Enrique J

2013-06-01

Cognitive skills training for minimally invasive surgery has traditionally relied upon diverse tools, such as seminars or lectures. Web technologies for e-learning have been adopted to provide ubiquitous training and serve as structured repositories for the vast amount of laparoscopic video sources available. However, these technologies fail to offer such features as formative and summative evaluation, guided learning, or collaborative interaction between users. The "TELMA" environment is presented as a new technology-enhanced learning platform that increases the user's experience using a four-pillared architecture: (1) an authoring tool for the creation of didactic contents; (2) a learning content and knowledge management system that incorporates a modular and scalable system to capture, catalogue, search, and retrieve multimedia content; (3) an evaluation module that provides learning feedback to users; and (4) a professional network for collaborative learning between users. Face validation of the environment and the authoring tool are presented. Face validation of TELMA reveals the positive perception of surgeons regarding the implementation of TELMA and their willingness to use it as a cognitive skills training tool. Preliminary validation data also reflect the importance of providing an easy-to-use, functional authoring tool to create didactic content. The TELMA environment is currently installed and used at the Jesús Usón Minimally Invasive Surgery Centre and several other Spanish hospitals. Face validation results ascertain the acceptance and usefulness of this new minimally invasive surgery training environment. Copyright © 2013 Elsevier Inc. All rights reserved.

Building Future Directions for Teacher Learning in Science Education

Science.gov (United States)

Smith, Kathy; Lindsay, Simon

2016-04-01

In 2013, as part of a process to renew an overall sector vision for science education, Catholic Education Melbourne (CEM) undertook a review of its existing teacher in-service professional development programs in science. This review led to some data analysis being conducted in relation to two of these programs where participant teachers were positioned as active learners undertaking critical reflection in relation to their science teaching practice. The conditions in these programs encouraged teachers to notice critical aspects of their teaching practice. The analysis illustrates that as teachers worked in this way, their understandings about effective science pedagogy began to shift, in particular, teachers recognised how their thinking not only influenced their professional practice but also ultimately shaped the quality of their students' learning. The data from these programs delivers compelling evidence of the learning experience from a teacher perspective. This article explores the impact of this experience on teacher thinking about the relationship between pedagogical choices and quality learning in science. The findings highlight that purposeful, teacher-centred in-service professional learning can significantly contribute to enabling teachers to think differently about science teaching and learning and ultimately become confident pedagogical leaders in science. The future of quality school-based science education therefore relies on a new vision for teacher professional learning, where practice explicitly recognises, values and attends to teachers as professionals and supports them to articulate and share the professional knowledge they have about effective science teaching practice.

High cancer-related mortality in an urban, predominantly African-American, HIV-infected population.

Science.gov (United States)

Riedel, David J; Mwangi, Evelyn Ivy W; Fantry, Lori E; Alexander, Carla; Hossain, Mian B; Pauza, C David; Redfield, Robert R; Gilliam, Bruce L

2013-04-24

To determine mortality associated with a new cancer diagnosis in an urban, predominantly African-American, HIV-infected population. Retrospective cohort study. All HIV-infected patients diagnosed with cancer between 1 January 2000 and 30 June 2010 were reviewed. Mortality was examined using Kaplan-Meier estimates and Cox proportional hazards models. There were 470 cases of cancer among 447 patients. Patients were predominantly African-American (85%) and male (79%). Non-AIDS-defining cancers (NADCs, 69%) were more common than AIDS-defining cancers (ADCs, 31%). Cumulative cancer incidence increased significantly over the study period. The majority (55.9%) was taking antiretroviral therapy (ART) at cancer diagnosis or started afterward (26.9%); 17.2% never received ART. Stage 3 or 4 cancer was diagnosed in 67%. There were 226 deaths during 1096 person years of follow-up, yielding an overall mortality rate of 206 per 1000 person years. The cumulative mortality rate at 30 days, 1 year, and 2 years was 6.5, 32.2, and 41.4%, respectively. Mortality was similar between patients on ART whether they started before or after the cancer diagnosis but was higher in patients who never received ART. In patients with a known cause of death, 68% were related to progression of the underlying cancer. In a large cohort of urban, predominantly African-American patients with HIV and cancer, many patients presented with late-stage cancer. There was substantial 30-day and 2-year mortality, although ART had a significant mortality benefit. Deaths were most often caused by progression of cancer and not from another HIV-related or AIDS-related event.

16 CFR 1115.5 - Reporting of failures to comply with a voluntary consumer product safety standard relied upon by...

Science.gov (United States)

2010-01-01

... voluntary consumer product safety standard relied upon by the Commission under section 9 of the CPSA. 1115.5 Section 1115.5 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION CONSUMER PRODUCT SAFETY ACT REGULATIONS SUBSTANTIAL PRODUCT HAZARD REPORTS General Interpretation § 1115.5 Reporting of failures to comply...

Proces organizacijskega učenja v slovenskih, hrvaških in malezijskih podjetjih = Organizational Learning Process in Slovenian, Croatian, and Malaysian Companies

Directory of Open Access Journals (Sweden)

Vlado Dimovski

2006-12-01

Full Text Available n our contribution we aim to test differences in the way companies learn in Slovenia, Croatia, and Malaysia. We used the Organizational learning measurement instrument developed and tested by Dimovski (1994, Škerlavaj (2003, Dimovski and Škerlavaj (2005. It employs three measurement variables (Information acquisition, Information interpretation, and Behavioural and cognitive changes as well as 38 items (presented in the paper to measure the Organizational learning construct. In autumn 2005, data from 203 Slovenian, 202 Croatian, and 300 Malaysian companies were gathered. Results indicate that companies in all three countries under scrutiny are closest in terms of behavioural and cognitive changes, meaning that globalization and other challenges of the modern business environment demand all of them to change and adapt quickly. However, the ways they are coping with those challenges are different. Generally speaking, there are more similarities than dissimilarities between Slovenia and Croatia, while this is not the case when comparing both countries to Malaysia. When acquiring information, Slovenian and Croatian companies rely more on internal sources (own employees, past decisions, etc., while Malaysian companies tend to rely more on external sources and more often have employees dedicated to searching for external information. When trying to interpret the information acquired, Slovenian and Croatian companies rely more on personal contacts, informal team meetings, and believe that information given to subordinates must be simple and concise, while Malaysian companies tend to use more formal collective decision-making and written communication to understand the meaning of information.

Changing the Metacognitive Orientation of a Classroom Environment to Stimulate Metacognitive Reflection Regarding the Nature of Physics Learning

Science.gov (United States)

Thomas, Gregory P.

2013-05-01

Problems persist with physics learning in relation to students' understanding and use of representations for making sense of physics concepts. Further, students' views of physics learning and their physics learning processes have been predominantly found to reflect a 'surface' approach to learning that focuses on mathematical aspects of physics learning that are often passed on via textbooks and lecture-style teaching. This paper reports on a teacher's effort to stimulate students' metacognitive reflection regarding their views of physics learning and their physics learning processes via a pedagogical change that incorporated the use of a representational framework and metaphors. As a consequence of the teacher's pedagogical change, students metacognitively reflected on their views of physics and their learning processes and some reported changes in their views of what it meant to understand physics and how they might learn and understand physics concepts. The findings provide a basis for further explicit teaching of representational frameworks to students in physics education as a potential means of addressing issues with their physics learning.

Learning Styles and Attitudes toward Online Education in Four Universities in the State of Nuevo Leon, Mexico

Science.gov (United States)

Martinez de Monarrez, Patricia; Korniejczuk, Victor

2013-01-01

The purpose of this research was to find the relation-ship between the predominant learning styles among university online students and their attitude toward online education. Data were collected from 385 students enrolled in undergraduate and graduate programs from four universities in the state of Nuevo Leon, Mexico. Significant effects of…

Effects of Embodied Learning and Digital Platform on the Retention of Physics Content: Centripetal Force.

Science.gov (United States)

Johnson-Glenberg, Mina C; Megowan-Romanowicz, Colleen; Birchfield, David A; Savio-Ramos, Caroline

2016-01-01

Embodiment theory proposes that knowledge is grounded in sensorimotor systems, and that learning can be facilitated to the extent that lessons can be mapped to these systems. This study with 109 college-age participants addresses two overarching questions: (a) how are immediate and delayed learning gains affected by the degree to which a lesson is embodied, and (b) how do the affordances of three different educational platforms affect immediate and delayed learning? Six 50 min-long lessons on centripetal force were created. The first factor was the degree of embodiment with two levels: (1) low and (2) high. The second factor was platform with three levels: (1) a large scale "mixed reality" immersive environment containing both digital and hands-on components called SMALLab , (2) an interactive whiteboard system, and (3) a mouse-driven desktop computer. Pre-tests, post-tests, and 1-week follow-up (retention or delayed learning gains) tests were administered resulting in a 2 × 3 × 3 design. Two knowledge subtests were analyzed, one that relied on more declarative knowledge and one that relied on more generative knowledge, e.g., hand-drawing vectors. Regardless of condition, participants made significant immediate learning gains from pre-test to post-test. There were no significant main effects or interactions due to platform or embodiment on immediate learning. However, from post-test to follow-up the level of embodiment interacted significantly with time, such that participants in the high embodiment conditions performed better on the subtest devoted to generative knowledge questions. We posit that better retention of certain types of knowledge can be seen over time when more embodiment is present during the encoding phase. This sort of retention may not appear on more traditional factual/declarative tests. Educational technology designers should consider using more sensorimotor feedback and gestural congruency when designing and opportunities for instructor

Effects of Embodied Learning and Digital Platform on the Retention of Physics Content: Centripetal Force

Science.gov (United States)

Johnson-Glenberg, Mina C.; Megowan-Romanowicz, Colleen; Birchfield, David A.; Savio-Ramos, Caroline

2016-01-01

Embodiment theory proposes that knowledge is grounded in sensorimotor systems, and that learning can be facilitated to the extent that lessons can be mapped to these systems. This study with 109 college-age participants addresses two overarching questions: (a) how are immediate and delayed learning gains affected by the degree to which a lesson is embodied, and (b) how do the affordances of three different educational platforms affect immediate and delayed learning? Six 50 min-long lessons on centripetal force were created. The first factor was the degree of embodiment with two levels: (1) low and (2) high. The second factor was platform with three levels: (1) a large scale “mixed reality” immersive environment containing both digital and hands-on components called SMALLab, (2) an interactive whiteboard system, and (3) a mouse-driven desktop computer. Pre-tests, post-tests, and 1-week follow-up (retention or delayed learning gains) tests were administered resulting in a 2 × 3 × 3 design. Two knowledge subtests were analyzed, one that relied on more declarative knowledge and one that relied on more generative knowledge, e.g., hand-drawing vectors. Regardless of condition, participants made significant immediate learning gains from pre-test to post-test. There were no significant main effects or interactions due to platform or embodiment on immediate learning. However, from post-test to follow-up the level of embodiment interacted significantly with time, such that participants in the high embodiment conditions performed better on the subtest devoted to generative knowledge questions. We posit that better retention of certain types of knowledge can be seen over time when more embodiment is present during the encoding phase. This sort of retention may not appear on more traditional factual/declarative tests. Educational technology designers should consider using more sensorimotor feedback and gestural congruency when designing and opportunities for instructor

Stereotype Threat Effects on Learning From a Cognitively Demanding Mathematics Lesson.

Science.gov (United States)

Lyons, Emily McLaughlin; Simms, Nina; Begolli, Kreshnik N; Richland, Lindsey E

2018-03-01

Stereotype threat-a situational context in which individuals are concerned about confirming a negative stereotype-is often shown to impact test performance, with one hypothesized mechanism being that cognitive resources are temporarily co-opted by intrusive thoughts and worries, leading individuals to underperform despite high content knowledge and ability (see Schmader & Beilock, ). We test here whether stereotype threat may also impact initial student learning and knowledge formation when experienced prior to instruction. Predominantly African American fifth-grade students provided either their race or the date before a videotaped, conceptually demanding mathematics lesson. Students who gave their race retained less learning over time, enjoyed the lesson less, reported a diminished desire to learn more, and were less likely to choose to engage in an optional math activity. The detrimental impact was greatest among students with high baseline cognitive resources. While stereotype threat has been well documented to harm test performance, the finding that effects extend to initial learning suggests that stereotype threat's contribution to achievement gaps may be greatly underestimated. Copyright © 2017 Cognitive Science Society, Inc.

The many facets of motor learning and their relevance for Parkinson's disease.

Science.gov (United States)

Marinelli, Lucio; Quartarone, Angelo; Hallett, Mark; Frazzitta, Giuseppe; Ghilardi, Maria Felice

2017-07-01

The final goal of motor learning, a complex process that includes both implicit and explicit (or declarative) components, is the optimization and automatization of motor skills. Motor learning involves different neural networks and neurotransmitters systems depending on the type of task and on the stage of learning. After the first phase of acquisition, a motor skill goes through consolidation (i.e., becoming resistant to interference) and retention, processes in which sleep and long-term potentiation seem to play important roles. The studies of motor learning in Parkinson's disease have yielded controversial results that likely stem from the use of different experimental paradigms. When a task's characteristics, instructions, context, learning phase and type of measures are taken into consideration, it is apparent that, in general, only learning that relies on attentional resources and cognitive strategies is affected by PD, in agreement with the finding of a fronto-striatal deficit in this disease. Levodopa administration does not seem to reverse the learning deficits in PD, while deep brain stimulation of either globus pallidus or subthalamic nucleus appears to be beneficial. Finally and most importantly, patients with PD often show a decrease in retention of newly learned skill, a problem that is present even in the early stages of the disease. A thorough dissection and understanding of the processes involved in motor learning is warranted to provide solid bases for effective medical, surgical and rehabilitative approaches in PD. Copyright © 2017 International Federation of Clinical Neurophysiology. All rights reserved.

da Vinci decoded: does da Vinci stereopsis rely on disparity?

Science.gov (United States)

Tsirlin, Inna; Wilcox, Laurie M; Allison, Robert S

2012-11-01

In conventional stereopsis, the depth between two objects is computed based on the retinal disparity in the position of matching points in the two eyes. When an object is occluded by another object in the scene, so that it is visible only in one eye, its retinal disparity cannot be computed. Nakayama and Shimojo (1990) found that a precept of quantitative depth between the two objects could still be established for such stimuli and proposed that this precept is based on the constraints imposed by occlusion geometry. They named this and other occlusion-based depth phenomena "da Vinci stereopsis." Subsequent research found quantitative depth based on occlusion geometry in several other classes of stimuli grouped under the term da Vinci stereopsis. However, Nakayama and Shimojo's findings were later brought into question by Gillam, Cook, and Blackburn (2003), who suggested that quantitative depth in their stimuli was perceived based on conventional disparity. In order to understand whether da Vinci stereopsis relies on one type of mechanism or whether its function is stimulus dependent we examine the nature and source of depth in the class of stimuli used by Nakayama and Shimojo (1990). We use three different psychophysical and computational methods to show that the most likely source for depth in these stimuli is occlusion geometry. Based on these experiments and previous data we discuss the potential mechanisms responsible for processing depth from monocular features in da Vinci stereopsis.

Learning and knowing technology as lived experience in people with Alzheimer's disease: a phenomenological study.

Science.gov (United States)

Rosenberg, Lena; Nygård, Louise

2017-12-01

Most research on learning in the field of dementia has studied teaching approaches, while little is known about learning as experienced and enacted by the people with dementia. The aim was to explore the lived experience of learning and maintaining knowledge related to technology among people with mild to moderate stage dementia. Seven persons with dementia were interviewed in-depth, and data were analyzed with a phenomenological approach. The participants positioned themselves on a continuum from 'Updating and expanding is not for me' to 'Updating and expanding is really for me'. They used different ways of learning in their everyday life - relying on one's habituated repertoire of actions, on other people or on technology itself, or belonging to a learning context. We have much to gain from better understanding of how people with dementia strive to learn and maintain their skills and knowledge related to technology. This is particularly important as they seem to use other approaches than those employed in current teaching methods. The necessity of learning stands out particularly when it comes to the interaction with the current multitude and ever-changing designs of technologies, including assistive technologies developed specifically to support people with dementia.

Predominant typologies of psychopathology in the United States: a latent class analysis.

Science.gov (United States)

El-Gabalawy, Renée; Tsai, Jack; Harpaz-Rotem, Ilan; Hoff, Rani; Sareen, Jitender; Pietrzak, Robert H

2013-11-01

Latent class analysis (LCA) offers a parsimonious way of classifying common typologies of psychiatric comorbidity. We used LCA to identify the nature and correlates of predominant typologies of Axis I and II disorders in a large and comprehensive population-based sample of U.S. adults. We analyzed data from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (2004-2005; n = 34,653), a population-based sample of U.S. adults. We derived latent classes based on all assessed Axis I and II disorders and examined the relationship between the identified Axis I classes and lifetime psychiatric disorders and suicide attempts, and physical and mental health-related quality of life. A four-class solution was optimal in characterizing predominant typologies of both Axis I and II disorders. For Axis I disorders, these included low psychopathology (n = 28,935, 84.0%), internalizing (n = 3693, 9.9%), externalizing (n = 1426, 4.5%), and high psychopathology (n = 599, 1.6%) classes. For Axis II disorders, these included no/low personality disorders (n = 31,265, 90.9%), obsessive/paranoid (n = 1635, 4.6%), borderline/dysregulated (n = 1319, 3.4%), and highly comorbid (n = 434, 1.1%) classes. Compared to the low psychopathology class, all other Axis I classes had significantly increased odds of mental disorders, elevated Axis II classes, suicide attempts and poorer quality of life, with the high psychopathology class having the overall highest rates of these correlates, with the exception of substance use disorders. Compared to the low psychopathology class, the internalizing and externalizing classes had increased rates of mood and anxiety disorders, and substance use disorders, respectively. Axis I and II psychopathology among U.S. adults may be best represented by four predominant typologies. Characterizing co-occurring patterns of psychopathology using person-based typologies represents a higher-order classification system that may be useful in clinical

A case of learning to teach elementary science: Investigating beliefs, experiences, and tensions

Science.gov (United States)

Bryan, Lynn Ann

This study examines how preservice elementary teacher beliefs and experiences within the context of reflective science teacher education influence the development of professional knowledge. From a cognitive constructivist theoretical perspective, I conducted a case analysis to investigate the beliefs about science teaching and learning held by a preservice teacher (Barbara), identify the tensions she encountered in learning to teach elementary science, understand the frames from which she identified problems of practice, and discern how her experiences influenced the process of reflecting on her own science teaching. From an analysis of interviews, observation, and written documents, I constructed a profile of Barbara's beliefs that consisted of three foundational and three dualistic beliefs about science teaching and learning. Her foundational beliefs concerned: (a) the value of science and science teaching, (b) the nature of scientific concepts and goals of science instruction, and (c) control in the science classroom. Barbara held dualistic beliefs about: (a) how children learn science, (b) the science students' role, and (c) the science teacher's role. The dualistic beliefs formed two contradictory nests of beliefs. One nest, grounded in life-long science learner experiences, reflected a didactic teaching orientation and predominantly guided her practice. The second nest, not well-grounded in experience, embraced a hands-on approach and predominantly guided her vision of practice. Barbara encountered tensions in thinking about science teaching and learning as a result of inconsistencies between her vision of science teaching and her actual practice. Confronting these tensions prompted Barbara to rethink the connections between her classroom actions and students' learning, create new perspectives for viewing her practice, and consider alternative practices more resonant with her visionary beliefs. However, the self-reinforcing belief system created by her

Exploring Online Students' Self-Regulated Learning with Self-Reported Surveys and Log Files: A Data Mining Approach

Science.gov (United States)

Cho, Moon-Heum; Yoo, Jin Soung

2017-01-01

Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…

Functional integration processes underlying the instruction-based learning of novel goal-directed behaviors.

Science.gov (United States)

Ruge, Hannes; Wolfensteller, Uta

2013-03-01

How does the human brain translate symbolic instructions into overt behavior? Previous studies suggested that this process relies on a rapid control transition from the lateral prefrontal cortex (LPFC) to the anterior striatum (aSTR) and premotor cortex (PMC). The present fMRI study investigated whether the transfer from symbolic to pragmatic stimulus-response (S-R) rules relies on changes in the functional coupling among these and other areas and to which extent action goal representations might get integrated within this symbolic-pragmatic transfer. Goal integration processes were examined by manipulating the contingency between actions and differential outcomes (i.e. action goals). We observed a rapid strengthening of the functional coupling between the LPFC and the basal ganglia (aSTR and putamen) and orbitofrontal cortex (OFC) as well as between the LPFC and the anterior dorsal PMC (pre-PMd), the anterior inferior parietal lobule (aIPL), and the posterior superior parietal lobule (pSPL). Importantly, only some of these functional integration processes were sensitive to the outcome contingency manipulation, including LPFC couplings with aSTR, OFC, aIPL, and pre-PMd. This suggests that the symbolic-pragmatic rule transfer is governed by principles of both, instrumental learning (increasingly tighter coupling between LPFC and aSTR/OFC) and ideomotor learning (increasingly tighter coupling between LPFC and aIPL/pre-PMd). By contrast, increased functional coupling between LPFC and putamen was insensitive to outcome contingency possibly indicating an early stage of habit formation under instructed learning conditions. Copyright © 2012 Elsevier Inc. All rights reserved.

Preoperative learning goals set by surgical residents and faculty.

Science.gov (United States)

Pernar, Luise I M; Breen, Elizabeth; Ashley, Stanley W; Peyre, Sarah E

2011-09-01

The operating room (OR) remains the main teaching venue for surgical trainees. The OR is considered a pure-discovery learning environment; the downsides of this can be putatively overcome when faculty and trainee arrive at a shared understanding of learning. This study aimed to better understand preoperative learning goals to identify areas of commonalities and potential barrier to intraoperative teaching. Brief, structured preoperative interviews were conducted outside the OR with the resident and faculty member who were scheduled to operate together. Answers were analyzed and grouped using grounded theory. Twenty-seven resident-faculty pairs were interviewed. Nine residents (33.3%) were junior (PGY 1 and 2) and 18 (66.7%) were senior (PGY 3 through 5). Learning goal categories that emerged from the response analysis were anatomy, basic and advanced surgical skills, general and specific procedural tasks, technical autonomy, and pre-, intra-, and postoperative considerations. Residents articulated fewer learning goals than faculty (1.5 versus 2.4; P = 0.024). The most frequently identified learning goal by both groups was one classifiable under general procedural tasks; the greatest divergence was seen regarding perioperative considerations, which were identified frequently by faculty members but rarely by residents. Faculty articulate significantly more learning goals for the residents they will operate with than residents articulate for themselves. Our data suggest that residents and faculty align on some learning goals for the OR but residents tend to be more limited, focusing predominantly on technical aspects of the operation. Faculty members tend to hold a broader view of the learning potential of the OR. These discrepancies may present barriers to effective intraoperative teaching. Copyright © 2011 Elsevier Inc. All rights reserved.

Use of Learning Media by Undergraduate Medical Students in Pharmacology: A Prospective Cohort Study

Science.gov (United States)

Gutmann, Joanna; Kühbeck, Felizian; Berberat, Pascal O.; Fischer, Martin R.; Engelhardt, Stefan; Sarikas, Antonio

2015-01-01

The ubiquity of the internet and computer-based technologies has an increasing impact on higher education and the way students access information for learning. Moreover, there is a paucity of information about the quantitative and qualitative use of learning media by the current student generation. In this study we systematically analyzed the use of digital and non-digital learning resources by undergraduate medical students. Daily online surveys and semi-structured interviews were conducted with a cohort of 338 third year medical students enrolled in a general pharmacology course. Our data demonstrate a predominant use of digital over non-digital learning resources (69 ± 7% vs. 31 ± 7%; p students. Most used media for learning were lecture slides (26.8 ± 3.0%), apps (22.0 ± 3.7%) and personal notes (15.5 ± 2.7%), followed by textbooks (> 300 pages) (10.6 ± 3.3%), internet search (7.9 ± 1.6%) and e-learning cases (7.6 ± 3.0%). When comparing learning media use of teaching vs. pre-exam self-study periods, textbooks were used significantly less during self-study (-55%; p learning cases (+176%; p learning resources by undergraduate medical students, in particular mobile applications. PMID:25849565

Neural signatures of second language learning and control.

Science.gov (United States)

Bartolotti, James; Bradley, Kailyn; Hernandez, Arturo E; Marian, Viorica

2017-04-01

Experience with multiple languages has unique effects on cortical structure and information processing. Differences in gray matter density and patterns of cortical activation are observed in lifelong bilinguals compared to monolinguals as a result of their experience managing interference across languages. Monolinguals who acquire a second language later in life begin to encounter the same type of linguistic interference as bilinguals, but with a different pre-existing language architecture. The current study used functional magnetic resonance imaging to explore the beginning stages of second language acquisition and cross-linguistic interference in monolingual adults. We found that after English monolinguals learned novel Spanish vocabulary, English and Spanish auditory words led to distinct patterns of cortical activation, with greater recruitment of posterior parietal regions in response to English words and of left hippocampus in response to Spanish words. In addition, cross-linguistic interference from English influenced processing of newly-learned Spanish words, decreasing hippocampus activity. Results suggest that monolinguals may rely on different memory systems to process a newly-learned second language, and that the second language system is sensitive to native language interference. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

Science.gov (United States)

Lu, Hongjing; Rojas, Randall R; Beckers, Tom; Yuille, Alan L

2016-03-01

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre-training (or even post-training) can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables (e.g., binary vs. continuous) to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue-outcome co-occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge. Copyright © 2015

Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields*

Science.gov (United States)

Sun, Jiaqi; Xie, Yuchen; Ye, Wenxing; Ho, Jeffrey; Entezari, Alireza; Blackband, Stephen J.

2013-01-01

In this paper, we present a novel dictionary learning framework for data lying on the manifold of square root densities and apply it to the reconstruction of diffusion propagator (DP) fields given a multi-shell diffusion MRI data set. Unlike most of the existing dictionary learning algorithms which rely on the assumption that the data points are vectors in some Euclidean space, our dictionary learning algorithm is designed to incorporate the intrinsic geometric structure of manifolds and performs better than traditional dictionary learning approaches when applied to data lying on the manifold of square root densities. Non-negativity as well as smoothness across the whole field of the reconstructed DPs is guaranteed in our approach. We demonstrate the advantage of our approach by comparing it with an existing dictionary based reconstruction method on synthetic and real multi-shell MRI data. PMID:24684004

Measuring students' self-regulated learning in professional education: bridging the gap between event and aptitude measurements.

Science.gov (United States)

Endedijk, Maaike D; Brekelmans, Mieke; Sleegers, Peter; Vermunt, Jan D

Self-regulated learning has benefits for students' academic performance in school, but also for expertise development during their professional career. This study examined the validity of an instrument to measure student teachers' regulation of their learning to teach across multiple and different kinds of learning events in the context of a postgraduate professional teacher education programme. Based on an analysis of the literature, we developed a log with structured questions that could be used as a multiple-event instrument to determine the quality of student teachers' regulation of learning by combining data from multiple learning experiences. The findings showed that this structured version of the instrument measured student teachers' regulation of their learning in a valid and reliable way. Furthermore, with the aid of the Structured Learning Report individual differences in student teachers' regulation of learning could be discerned. Together the findings indicate that a multiple-event instrument can be used to measure regulation of learning in multiple contexts for various learning experiences at the same time, without the necessity of relying on students' ability to rate themselves across all these different experiences. In this way, this instrument can make an important contribution to bridging the gap between two dominant approaches to measure SRL, the traditional aptitude and event measurement approach.

Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education

Directory of Open Access Journals (Sweden)

de Gara Chris

2010-06-01

Full Text Available Abstract Background Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. Methods The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. Results A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p Conclusions We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

A functional supervised learning approach to the study of blood pressure data.

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Papayiannis, Georgios I; Giakoumakis, Emmanuel A; Manios, Efstathios D; Moulopoulos, Spyros D; Stamatelopoulos, Kimon S; Toumanidis, Savvas T; Zakopoulos, Nikolaos A; Yannacopoulos, Athanasios N

2018-04-15

In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance for appropriate deformable functional models for the blood pressure data. The schemes are trained on real clinical data, and their performance was assessed and found to be very satisfactory. Copyright © 2017 John Wiley & Sons, Ltd.

[Procedural learning disorder: neuropsychological characteristics].

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Crespo-Eguílaz, N; Narbona, J

This research aims at neurocognitive delineation of the core features of procedural learning disorder (PLD), otherwise labeled as motor coordination disorder or non-verbal learning disorder. A sample of 209 correlative outpatients (73% males), aged 6-12 years, all of them having QI ranging from 81 to 120, was clustered into the following neurobehavioural groups: PLD (n = 16), PLD plus attention deficit hyperactivity disorder (ADHD) (n = 37), ADHD combined type (n = 47), ADHD predominantly inattentive type (n = 23), specific language impairment (n = 68), and semantic-pragmatic language impairment (n = 18). Two additional groups of patients were included for some comparisons: children with periventricular leukomalacia (PVL) without learning disability (n = 8) or associating PLD (n = 17). A set of behavioural scales and neurocognitive tests was used to evaluate verbal and non-verbal IQ, attention, impulsivity control, visuo-motor coordination, declarative memory, procedural memory and learning, formal and functional dimensions of language, peer relationships and academic achievement. Parametric analysis were used to test the differences and similarities of neurobehavioural variables between groups. Our results allow us to conclude that PLD implies a difficult acquisition of automatized motor, cognitive and communicative abilities required in school work and peer social relationships. PLD is different from autistic spectrum disorders. It is frequently associated to inattentive ADHD. Operational criteria for diagnosis of PLD are proposed, according to our results. A bilateral posterior parietal dysfunction is a plausible explanation of its physiopathology. Preserved general intelligence and formal linguistic abilities are the clues for intervention designs.

The Effect of Incremental Changes in Phonotactic Probability and Neighborhood Density on Word Learning by Preschool Children

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Storkel, Holly L.; Bontempo, Daniel E.; Aschenbrenner, Andrew J.; Maekawa, Junko; Lee, Su-Yeon

2013-01-01

Purpose: Phonotactic probability or neighborhood density has predominately been defined through the use of gross distinctions (i.e., low vs. high). In the current studies, the authors examined the influence of finer changes in probability (Experiment 1) and density (Experiment 2) on word learning. Method: The authors examined the full range of…

Knowledge Management as an Approach to Learning and Instructing Sector University Students in Post-Soviet Professional Education

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Volegzhanina, Irina S.; Chusovlyanova, Svetlana V.; Adolf, Vladimir A.; Bykadorova, Ekaterina S.; Belova, Elena N.

2017-01-01

The relevance of the study depends on addressing to the issue of knowledge management in learning and instructing students of post-Soviet sector universities. In this regard, the article is intended to reveal the nature of knowledge management approach compared to the knowledge-based one predominated in Soviet education. The flagship approach of…

Serial position learning in honeybees.

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Randolf Menzel

Full Text Available Learning of stimulus sequences is considered as a characteristic feature of episodic memory since it contains not only a particular item but also the experience of preceding and following events. In sensorimotor tasks resembling navigational performance, the serial order of objects is intimately connected with spatial order. Mammals and birds develop episodic(-like memory in serial spatio-temporal tasks, and the honeybee learns spatio-temporal order when navigating between the nest and a food source. Here I examine the structure of the bees' memory for a combined spatio-temporal task. I ask whether discrimination and generalization are based solely on simple forms of stimulus-reward learning or whether they require sequential configurations. Animals were trained to fly either left or right in a continuous T-maze. The correct choice was signaled by the sequence of colors (blue, yellow at four positions in the access arm. If only one of the possible 4 signals is shown (either blue or yellow, the rank order of position salience is 1, 2 and 3 (numbered from T-junction. No learning is found if the signal appears at position 4. If two signals are shown, differences at positions 1 and 2 are learned best, those at position 3 at a low level, and those at position 4 not at all. If three or more signals are shown these results are corroborated. This salience rank order again appeared in transfer tests, but additional configural phenomena emerged. Most of the results can be explained with a simple model based on the assumption that the four positions are equipped with different salience scores and that these add up independently. However, deviations from the model are interpreted by assuming stimulus configuration of sequential patterns. It is concluded that, under the conditions chosen, bees rely most strongly on memories developed during simple forms of associative reward learning, but memories of configural serial patterns contribute, too.

End-to-End Deep Learning Model For Automatic Sleep Staging Using Raw PSG Waveforms

DEFF Research Database (Denmark)

Olesen, Alexander Neergaard; Peppard, P. E.; Sorensen, H. B.

2018-01-01

Deep learning has seen significant progress over the last few years, especially in computer vision, where competitions such as the ImageNet challenge have been the driving factor behind many new model architectures far superior to humans in image recognition. We propose a novel method for automatic...... accuracy, precision and recall were 84.93%, 97.42% and 97.02%, respectively. Evaluating on the validation set yielded an overall accuracy of 85.07% and overall precision/recall of 98.54% and 95.72%, respectively. Conclusion: Preliminary results indicate that state of the art deep learning models can...... sleep staging, which relies on current advances in computer vision models eliminating the need for feature engineering or other transformations of input data. By exploiting the high capacity for complex learning in a state of the art object recognition model, we can effectively use raw PSG signals...

Tuberculosis transmission of predominant genotypes of Mycobacterium tuberculosis in northern suburbs of Buenos Aires city region.

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Morcillo, N; Zumarraga, M; Imperiale, B; Di Giulio, B; Chirico, C; Kuriger, A; Alito, A; Kremer, K; Cataldi, A

2007-01-01

In 2003, the incidence of tuberculosis in Argentina showed an increase compared to 2002. The severe national crisis at the end of the 90s has probably strongly contributed to this situation. The goal of this work was to estimate the extent of the spread of the most predominant Mycobacterium tuberculosis strains and to assess the spread of predominant M. tuberculosis clusters as determined by spoligotyping and IS6110 RFLP. The study involved 590 pulmonary, smear-positive TB cases receiving medical attention at health centers and hospitals in Northern Buenos Aires (NBA) suburbs, from October 2001 to December 2002. From a total of 208 clinical isolates belonging to 6 major clusters, 63 (30.2%) isolates had identical spoligotyping and IS6110 RFLP pattern. Only 22.2% were shown to have epidemiological connections with another member of their respective cluster. In these major clusters, 30.2% of the 208 TB cases studied by both molecular techniques and contact tracing could be convincingly attributable to a recently acquired infection. This knowledge may be useful to assess the clonal distribution of predominant M. tuberculosis clusters in Argentina, which may make an impact on TB control strategies.

Unparalleled sample treatment throughput for proteomics workflows relying on ultrasonic energy.

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Jorge, Susana; Araújo, J E; Pimentel-Santos, F M; Branco, Jaime C; Santos, Hugo M; Lodeiro, Carlos; Capelo, J L

2018-02-01

We report on the new microplate horn ultrasonic device as a powerful tool to speed proteomics workflows with unparalleled throughput. 96 complex proteomes were digested at the same time in 4min. Variables such as ultrasonication time, ultrasonication amplitude, and protein to enzyme ratio were optimized. The "classic" method relying on overnight protein digestion (12h) and the sonoreactor-based method were also employed for comparative purposes. We found the protein digestion efficiency homogeneously distributed in the entire microplate horn surface using the following conditions: 4min sonication time and 25% amplitude. Using this approach, patients with lymphoma and myeloma were classified using principal component analysis and a 2D gel-mass spectrometry based approach. Furthermore, we demonstrate the excellent performance by using MALDI-mass spectrometry based profiling as a fast way to classify patients with rheumatoid arthritis, systemic lupus erythematosus, and ankylosing spondylitis. Finally, the speed and simplicity of this method were demonstrated by clustering 90 patients with knee osteoarthritis disease (30), with a prosthesis (30, control group) and healthy individuals (30) with no history of joint disease. Overall, the new approach allows profiling a disease in just one week while allows to match the minimalism rules as outlined by Halls. Copyright © 2017 Elsevier B.V. All rights reserved.

[Zeme, vara un reliģija viduslaikos un jaunajas laikos Baltijas jūras reģionā] / Marija Golubeva

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Golubeva, Marija, 1973-

2011-01-01

Arvustus: Zeme, vara un reliģija viduslaikos un jaunajas laikos Baltijas jūras reģionā / Hrsg. von Andris Šnē. Acta Universitatis Latviensis ; 725. (Riga: Verlag Latvijas Universitātes Akadēmiskais apgāds, 2009)

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction

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de Greeff, Joachim; Belpaeme, Tony

2015-01-01

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children’s social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference); the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a “mental model” of the robot, tailoring the tutoring to the robot’s performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot’s bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance. PMID:26422143

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Science.gov (United States)

de Greeff, Joachim; Belpaeme, Tony

2015-01-01

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children's social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference); the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a "mental model" of the robot, tailoring the tutoring to the robot's performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot's bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance.

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Directory of Open Access Journals (Sweden)

Joachim de Greeff

Full Text Available Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children's social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference; the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a "mental model" of the robot, tailoring the tutoring to the robot's performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot's bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance.

Learning style preferences of nursing students at two universities in Iran and Malaysia

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Abdolghani Abdollahimohammad

2014-11-01

Full Text Available Purpose: Learning style preferences vary within the nursing field and there is no consensus on a predominant learning style preference in nursing students. The current study compared the learning style preferences of nursing students at two universities in Iran and Malaysia. Methods: A purposive sampling method was used to collect data from the two study populations. Data were collected using the Learning Style Scale (LSS, which is a valid and reliable inventory. The LSS consists of 22 items with five subscales including perceptive, solitary, analytic, imaginative, and competitive. The questionnaires were distributed at the end of the academic year during regular class time for optimum response. The Mann-Whitney U-test was used to compare the learning style preferences between the two study populations. Results: A significant difference was found in perceptive, solitary, and analytic learning styles between two groups of nursing students. However, there was no significant difference in imaginative and competitive learning styles between the two groups. Most of the students were in the middle range of the learning styles. Conclusion: There were similarities and differences in learning style preferences between Zabol Medical Sciences University (ZBMU and University Sains Malaysia (USM nursing students. The USM nursing students were more sociable and analytic learners, whereas the ZBMU nursing students were more solitary and perceptive learners.

A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning

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A. Balavivekanandhan

2015-01-01

Full Text Available The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learning, research studies have only inadequate data to identify the factors that influence their decision to adapt the mobile technology for the purpose of learning. To deal with this space, the present study was undertaken to correlate the IT skills of students with their impact on their acceptance of m-learning. The research study found that the perceived usability along with the usefulness of m-learning impacts the association between IT expertise and the objective of learners’ acceptance of m-learning. A survey of 892 students from Engineering, Arts, and Science Colleges found that IT skills influence student’s acquisition of m-learning technology. Specialized and advanced skills in mobile technology along with basic skills play a significant role in influencing a student to accept m-learning. But no specific substantiation has been established to support the statement that highly developed IT skills have influenced the students to accept m-learning.

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease

Science.gov (United States)

Voigt, Ingmar; Vitanovski, Dime; Ionasec, Razvan I.; Tsymal, Alexey; Georgescu, Bogdan; Zhou, Shaohua K.; Huber, Martin; Navab, Nassir; Hornegger, Joachim; Comaniciu, Dorin

2010-03-01

Disorders of the heart valves constitute a considerable health problem and often require surgical intervention. Recently various approaches were published seeking to overcome the shortcomings of current clinical practice,that still relies on manually performed measurements for performance assessment. Clinical decisions are still based on generic information from clinical guidelines and publications and personal experience of clinicians. We present a framework for retrieval and decision support using learning based discriminative distance functions and visualization of patient similarity with relative neighborhood graphsbased on shape and derived features. We considered two learning based techniques, namely learning from equivalence constraints and the intrinsic Random Forest distance. The generic approach enables for learning arbitrary user-defined concepts of similarity depending on the application. This is demonstrated with the proposed applications, including automated diagnosis and interventional suitability classification, where classification rates of up to 88.9% and 85.9% could be observed on a set of valve models from 288 and 102 patients respectively.

Can infants learn phonology in the lab? A meta-analytic answer.

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Cristia, Alejandrina

2018-01-01

Two of the key tasks facing the language-learning infant lie at the level of phonology: establishing which sounds are contrastive in the native inventory, and determining what their possible syllabic positions and permissible combinations (phonotactics) are. In 2002-2003, two theoretical proposals, one bearing on how infants can learn sounds (Maye, Werker, & Gerken, 2002) and the other on phonotactics (Chambers, Onishi, & Fisher, 2003), were put forward on the pages of Cognition, each supported by two laboratory experiments, wherein a group of infants was briefly exposed to a set of pseudo-words, and plausible phonological generalizations were tested subsequently. These two papers have received considerable attention from the general scientific community, and inspired a flurry of follow-up work. In the context of questions regarding the replicability of psychological science, the present work uses a meta-analytic approach to appraise extant empirical evidence for infant phonological learning in the laboratory. It is found that neither seminal finding (on learning sounds and learning phonotactics) holds up when close methodological replications are integrated, although less close methodological replications do provide some evidence in favor of the sound learning strand of work. Implications for authors and readers of this literature are drawn out. It would be desirable that additional mechanisms for phonological learning be explored, and that future infant laboratory work employ paradigms that rely on constrained and unambiguous links between experimental exposure and measured infant behavior. Copyright © 2017. Published by Elsevier B.V.

Mastery learning: it is time for medical education to join the 21st century.

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McGaghie, William C

2015-11-01

Clinical medical education in the 21st century is grounded in a 19th-century model that relies on longitudinal exposure to patients as the curriculum focus. The assumption is that medical students and postgraduate residents will learn from experience, that vicarious or direct involvement in patient care is the best teacher. The weight of evidence shows, however, that results from such traditional clinical education are uneven at best. Educational inertia endorsed until recently by medical school accreditation policies has maintained the clinical medical education status quo for decades.Mastery learning is a new paradigm for medical education. Basic principles of mastery learning are that educational excellence is expected and can be achieved by all learners and that little or no variation in measured outcomes will result. This Commentary describes the origins of mastery learning and presents its essential features. The Commentary then introduces the eight reports that comprise the mastery learning cluster for this issue of Academic Medicine. The reports are intended to help medical educators recognize advantages of the mastery model and begin to implement mastery learning at their own institutions. The Commentary concludes with brief statements about future directions for mastery learning program development and research in medical education.

Long-term care planning study: strengths and learning needs of nursing staff.

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Cruttenden, Kathleen E

2006-01-01

This planning study was designed and conducted in a predominantly rural Canadian province to examine the strengths and learning needs of four categories of nursing staff practising in New Brunswick nursing homes. Participants included directors of care, registered nurses, licensed practical nurses, and resident attendants. The nursing homes ranged in size from 38 to 196 beds and were located throughout the province. In health and planning studies, ethnography conveys a coherent statement of peoples' local knowledge as culture-sharing groups (Muecke, 1994). The study derived information from the Nursing Home Act, reports, the literature, key informants, and direct observations of and interviews with participants. Leadership strengths defined the roles for categories of staff and supported the capacity of each category to identify their learning needs. In conclusion, nurses practising in nursing homes can and must take an active role in decision making for their learning.

An associative model of adaptive inference for learning word-referent mappings.

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Kachergis, George; Yu, Chen; Shiffrin, Richard M

2012-04-01

People can learn word-referent pairs over a short series of individually ambiguous situations containing multiple words and referents (Yu & Smith, 2007, Cognition 106: 1558-1568). Cross-situational statistical learning relies on the repeated co-occurrence of words with their intended referents, but simple co-occurrence counts cannot explain the findings. Mutual exclusivity (ME: an assumption of one-to-one mappings) can reduce ambiguity by leveraging prior experience to restrict the number of word-referent pairings considered but can also block learning of non-one-to-one mappings. The present study first trained learners on one-to-one mappings with varying numbers of repetitions. In late training, a new set of word-referent pairs were introduced alongside pretrained pairs; each pretrained pair consistently appeared with a new pair. Results indicate that (1) learners quickly infer new pairs in late training on the basis of their knowledge of pretrained pairs, exhibiting ME; and (2) learners also adaptively relax the ME bias and learn two-to-two mappings involving both pretrained and new words and objects. We present an associative model that accounts for both results using competing familiarity and uncertainty biases.

Reduction of cognitive conflict and learning style impact towards student-teacher's misconception load

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A'yun, Kurroti; Suyono, Poedjiastoeti, Sri; Bin-Tahir, Saidna Zulfiqar

2017-08-01

The most crucial issue in education is a misconception that is caused by the misconception of the students themselves. Therefore, this study provided the solution to improve the quality of teaching chemistry in the schools through the remediation of misconceptions to the chemistry teacher candidates. This study employed a mixed method approach using concurrent embedded designs where it tended more to the qualitative research, but it still relied on the quantitative research in the assessment of the learning impact. The results of this study were the students with higher levels of cognitive conflict still have high loads of misconceptions (MC), it possibly due to the type of students' learning styles that is the sequential-global balanced. To facilitate the cognitive conflict character and the learning style of sequential-global balanced, the researchers created an integrated worksheet conceptual change with peer learning (WCCPL). The peer learning undertaken in the last stages of conceptual change of WCCPL can increase the resistance of students' concept in a category of knowing the concept significantly, but it should be examined in an in-depth study related to the long-term memory.

Mechanisms of value-learning in the guidance of spatial attention.

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Anderson, Brian A; Kim, Haena

2018-05-11

The role of associative reward learning in the guidance of feature-based attention is well established. The extent to which reward learning can modulate spatial attention has been much more controversial. At least one demonstration of a persistent spatial attention bias following space-based associative reward learning has been reported. At the same time, multiple other experiments have been published failing to demonstrate enduring attentional biases towards locations at which a target, if found, yields high reward. This is in spite of evidence that participants use reward structures to inform their decisions where to search, leading some to suggest that, unlike feature-based attention, spatial attention may be impervious to the influence of learning from reward structures. Here, we demonstrate a robust bias towards regions of a scene that participants were previously rewarded for selecting. This spatial bias relies on representations that are anchored to the configuration of objects within a scene. The observed bias appears to be driven specifically by reinforcement learning, and can be observed with equal strength following non-reward corrective feedback. The time course of the bias is consistent with a transient shift of attention, rather than a strategic search pattern, and is evident in eye movement patterns during free viewing. Taken together, our findings reconcile previously conflicting reports and offer an integrative account of how learning from feedback shapes the spatial attention system. Copyright © 2018 Elsevier B.V. All rights reserved.

Learning styles of nursing and allied health students in Semnan university of medical sciences

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Fatemeh Ahadi

2010-01-01

Full Text Available Introduction: Several factors as learning styles can influence the learning process. The aim of thisstudy was to determine learning styles, which are used by nursing and allied health students in SemnanUniversity of Medical Sciences.Materials and Methods: This cross-sectional study was performed on 199 nursing and allied healthstudents of Semnan university of medical sciences (2007, Iran. Students were selected using a simplesampling method. The assessment instrument was the last version of Kolb learning style inventory (KLSIV.3.1.Results: Generally, the learning styles of students were divergent (% 27.1, accommodations (% 26.6,convergent (%23.6, and assimilation (%22.6. The preferred learning style in nursing students wasconvergent (%31.9, and in allied health students was divergent (%36.1. There was a significantrelationship between the type of learning styles with academic courses (P=0.006 married status(P=0.004 and average score (P=0.031, but there was no correlation between the type of learning stylesand gender.Conclusion: Considering the predominance of convergent and divergent learning styles in thesestudents, the usage of some educational methods such as problem -based learning, group discussions,brain storming, role playing, computerized simulation and demonstration are recommended in theoretical,clinical and skill laboratory fields, so that; the students in the new and objective situations can apply theirvisualization for more earning knowledge and professional skills.

The effect of visuals on non-native English students' learning of the basic principles and laws of motion

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Yang, Quan

2001-10-01

This study, involving 154 undergraduate college students in China, was conducted to determine whether the surface structure of visual graphics affect content learning when the learner was a non-native English speaker and learning took place in a non-English speaking environment. Instruction with concrete animated graphics resulted in significantly higher achievement, when compared to instruction with concrete static, abstract static, abstract animated graphics or text only without any graphical illustrations. It was also found, unexpectedly, the text-only instruction resulted in the second best achievement, significantly higher than instruction with concrete static, abstract static, and abstract animated graphics. In addition, there was a significant interaction with treatment and test item, which indicated that treatment effects on graphic-specific items differed from those on definitional items. Additional findings indicated that relation to graphics directly or indirectly from the text that students studied had little impact on their performance in the posttests. Further, 51% of the participants indicated that they relied on some graphical images to answer the test questions and 19% relied heavily on graphics when completing the tests. In conclusion, concrete graphics when combined with animation played a significant role in enhancing ESL student performance and enabled the students to achieve the best learning outcomes as compared to abstract animated, concrete static, and abstract static graphics. This result suggested a significant innovation in the design and development of ESL curriculum in computer-based instruction, which would enable ESL students to perform better and achieve the expected outcomes in content area learning.

Learning to improve path planning performance

International Nuclear Information System (INIS)

Chen, Pang C.

1995-04-01

In robotics, path planning refers to finding a short. collision-free path from an initial robot configuration to a desired configuratioin. It has to be fast to support real-time task-level robot programming. Unfortunately, current planning techniques are still too slow to be effective, as they often require several minutes, if not hours of computation. To remedy this situation, we present and analyze a learning algorithm that uses past experience to increase future performance. The algorithm relies on an existing path planner to provide solutions to difficult tasks. From these solutions, an evolving sparse network of useful robot configurations is learned to support faster planning. More generally, the algorithm provides a speedup-learning framework in which a slow but capable planner may be improved both cost-wise and capability-wise by a faster but less capable planner coupled with experience. The basic algorithm is suitable for stationary environments, and can be extended to accommodate changing environments with on-demand experience repair and object-attached experience abstraction. To analyze the algorithm, we characterize the situations in which the adaptive planner is useful, provide quantitative bounds to predict its behavior, and confirm our theoretical results with experiments in path planning of manipulators. Our algorithm and analysis are sufficiently, general that they may also be applied to other planning domains in which experience is useful

Health and Well-being of Women Migrating from Predominantly Muslim Countries to the United States.

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Kamimura, Akiko; Pye, Mu; Sin, Kai; Nourian, Maziar M; Assasnik, Nushean; Stoddard, Mary; Frost, Caren J

2018-01-01

The purpose of this study was to examine the health and well-being of women migrating from predominantly Muslim countries to the U.S. Women from predominantly Muslim countries completed a paper survey on the following topics from June to December in 2016 (N=102): depression; physical functioning; self-reported general health; experiences with health care; and demographic characteristics. There were several women's health-related issues: low rates for mammography and Pap smear screening, and preference for female physicians and/or physicians from the same culture. Only one-third of the participants had received a physical exam in the past year, and having done so was related to higher levels of depression and worse physical functioning. The participants who were not in a refugee camp reported higher levels of depression than those who were.

How do we learn to "kill" in volleyball?: The role of working memory capacity and expertise in volleyball motor learning.

Science.gov (United States)

Bisagno, Elisa; Morra, Sergio

2018-03-01

This study examines young volleyball players' learning of increasingly complex attack gestures. The main purpose of the study was to examine the predictive role of a cognitive variable, working memory capacity (or "M capacity"), in the acquisition and development of motor skills in a structured sport. Pascual-Leone's theory of constructive operators (TCO) was used as a framework; it defines working memory capacity as the maximum number of schemes that can be simultaneously activated by attentional resources. The role of expertise in motor learning was also considered. The expertise of each athlete was assessed in terms of years of practice and number of training sessions per week. The participants were 120 volleyball players, aged between 6 and 26 years, who performed both working memory tests and practical tests of volleyball involving the execution of the "third touch" by means of technical gestures of varying difficulty. We proposed a task analysis of these different gestures framed within the TCO. The results pointed to a very clear dissociation. On the one hand, M capacity was the best predictor of correct motor performance, and a specific capacity threshold was found for learning each attack gesture. On the other hand, experience was the key for the precision of the athletic gestures. This evidence could underline the existence of two different cognitive mechanisms in motor learning. The first one, relying on attentional resources, is required to learn a gesture. The second one, based on repeated experience, leads to its automatization. Copyright © 2017 Elsevier Inc. All rights reserved.

An Architecture for Interactive Target-Oriented e/m-Learning Systems

Directory of Open Access Journals (Sweden)

Cristina De Castro

2009-12-01

Full Text Available In this paper, an architecture is proposed for the development of an e/m-Learning system with the following features: (1 learning paths can be tailored to the user’s aims and, during the learning process, dynamically modified in order to meet his needs; (2 in context of m-Learning facilities, contents can be scaled and adapted to the user’s device and connection technology. As far as learning paths are concerned, each learner is allowed to specify his initial target and, if he decides to deepen some issues, is authorised to redefine such target over time. This process is guided by a “Path Decision Module” based on Petri Nets, which checks the user’s learning level and consequently decides whether further issues can be faced or not. As for access to the system, the following scenarios are considered: UMTS (e.g.: for PDAs, DSL (e.g.: at home, WiFi (e.g.: within study lounges and libraries, wired/fiber (e.g.: within laboratories. In order to satisfy such heterogeneous requirements, contents are dynamically adapted to available technologies by means of on the fly data format conversions. The whole system relies on a hybrid LDAP-SQL database, which benefits from the joint use of directory services and relational databases. LDAP is used for the storage of learning and assessment material, whereas dynamical paths are stored in the SQL system. Analytical calculations are also presented which show the access time in each scenario and, consequently, if a certain activity can be carried out or not efficiently.

Training Sessional Academic Staff to Provide Quality Feedback on University Students' Assessment: Lessons from a Faculty of Law Learning and Teaching Project

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Richards, Kelly; Bell, Tamara; Dwyer, Angela

2017-01-01

The quality of feedback provided to university students has long been recognised as the most important predictor of student learning and satisfaction. However, providing quality feedback to students is challenging in the current context, in which universities increasingly rely on casualised and inexperienced academic staff to assess undergraduate…

Gene Network Construction from Microarray Data Identifies a Key Network Module and Several Candidate Hub Genes in Age-Associated Spatial Learning Impairment.

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Uddin, Raihan; Singh, Shiva M

2017-01-01

As humans age many suffer from a decrease in normal brain functions including spatial learning impairments. This study aimed to better understand the molecular mechanisms in age-associated spatial learning impairment (ASLI). We used a mathematical modeling approach implemented in Weighted Gene Co-expression Network Analysis (WGCNA) to create and compare gene network models of young (learning unimpaired) and aged (predominantly learning impaired) brains from a set of exploratory datasets in rats in the context of ASLI. The major goal was to overcome some of the limitations previously observed in the traditional meta- and pathway analysis using these data, and identify novel ASLI related genes and their networks based on co-expression relationship of genes. This analysis identified a set of network modules in the young, each of which is highly enriched with genes functioning in broad but distinct GO functional categories or biological pathways. Interestingly, the analysis pointed to a single module that was highly enriched with genes functioning in "learning and memory" related functions and pathways. Subsequent differential network analysis of this "learning and memory" module in the aged (predominantly learning impaired) rats compared to the young learning unimpaired rats allowed us to identify a set of novel ASLI candidate hub genes. Some of these genes show significant repeatability in networks generated from independent young and aged validation datasets. These hub genes are highly co-expressed with other genes in the network, which not only show differential expression but also differential co-expression and differential connectivity across age and learning impairment. The known function of these hub genes indicate that they play key roles in critical pathways, including kinase and phosphatase signaling, in functions related to various ion channels, and in maintaining neuronal integrity relating to synaptic plasticity and memory formation. Taken together, they

A Comparative Study on Cooperative Learning in Multimedia and Network Environment Used by English Majors between China Mainland and Taiwan

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Gong Xue

2018-02-01

Full Text Available This paper first based on the theory of cooperative learning research. It analyses the characteristics and advantages of cooperative learning under the multimedia network environment.And then take China Three Gorges University and Taiwan I-Shou University English major students for example, using questionnaires and interviews to investigate the students's cooperative learning in the network environment. Survey results showed that cooperative learning teaching mode has been widely used in English classrooms across the Taiwan Strait. Students think highly of cooperative learning in the multimedia-aided, and it can have a positive effect on learning; but on cooperative learning ability and the specific learning process, students still have some problems.Nowadays,cooperative learning in the network environment has various ways, but there exist certain differences in the learning styles across the Strait. Taiwan students rely more on teachers’ help and teachers feedback, while students in mainland depend mainly on networking and panel discussion. On qualitative analysis of interview is a supplement to the questionnaire and further explore its deeper causes, which provide valuable evidence for the study and learning practice. Finally, according to the comparative analysis ,the author puts forward some constructive suggestions.

A Note on the Bogdanov-Takens Bifurcation in the Romer Model with Learning by Doing

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Bella, Giovanni

This paper is aimed at describing the whole set of necessary and sufficient conditions for the emergence of multiple equilibria and global indeterminacy in the standard endogenous growth framework with learning by doing. The novelty of this paper relies on the application of the original Bogdanov-Takens bifurcation theorem, which allows us to characterize the full dynamics of the model, and determine the emergence of an unavoidable poverty trap.

Towards Optimality in Online Learning – The OLeCenT Approach

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Carl Beckford

2017-06-01

Full Text Available Higher Education Institutions (HEIs employ Learning Management Systems (LMSs primarily for greater efficiency, profitability, technological advancement or survival. The predominantly used LMSs, Moodle and Blackboard account for in excess of 60% usage by the top HEIs. However, the individual international regions do not necessarily bear the percentages of the overall total. Gaps are identified in optimality in course delivery within online learning when one studies LMSs and their functionalities. Advanced Distributed Learning (ADL Initiative which was established to standardize and modernize training and education management and delivery, developed and recommended usage of Sharable Content Object Reference Model (SCORM 2004 and later versions. SCORM 2004 which provides for flexibility in sequencing and navigation for learner-centric course delivery is not supported in any version of the more prevalently used LMSs. It is believed that most people have a preferred way in processing information. We propose codifying one or more Learning Style Instruments (LSIs, diagnosing the preferred teaching approach(es and dominant/existing learning styles within a batch of learners, then providing course delivery as a best-fit per learner. As a proof of concept, OLeCenT allows the input of one or more course learning paths with real-time learning and automatic reconfiguration of the course path where a new trend or pattern is identified. OLeCenT identified disparity in teaching-learning and provided a mechanism towards improving online learner-centric course delivery. OLeCenT also identified comparative levels of similarities among learners and instructors even where they are deemed to be of different teaching-learning styles/mechanisms.

Toward an Integrative Perspective on Social Learning in System Innovation Initiatives

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Pieter J. Beers

2016-03-01

Full Text Available Sustainability transitions go hand in hand with learning. Theories in the realm of sustainability sciences mostly concentrate on diversity and learning outcomes, whereas theories from the educational sciences mostly focus on learning as an interactive process. In this contribution, we aim to benefit from an integration of these perspectives in order to better understand how different interaction patterns contribute to learning. We studied STAP, an innovation initiative of Dutch greenhouse growers. The Dutch greenhouse sector is predominantly focused on production and efficiency, which causes problems for its future viability. STAP aimed to make the sector more market-oriented while at the same time increasing its societal acceptability (societally responsible innovation. To that end, STAP focused on the development of integrated value chains (primary production, sales, trade that can contribute to a transition towards a societally sensitive greenhouse sector. As action researchers, we collected extensive transcripts of meetings, interviews, and various other documents. We used an open coding strategy to identify different patterns of interaction and the learning outcomes produced by the initiative. We then linked the interaction patterns to the outcomes. Analysis suggests that seemingly negative attack-and-defend patterns of interaction certainly can result in substantial learning results, while seemingly positive synthetic interaction patterns, where participants strive to build on each other, can result in rather bland interaction without substantial outcomes. The results offer an empirical basis to our approach of linking learning interactions to learning outcomes, and it suggests that learning for sustainability can be enhanced by focusing on interaction patterns.

Exploration of preferred learning styles in medical education using VARK modal

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Laxman Khanal

2014-09-01

Full Text Available Learning styles is a term used to refer to the methods of gathering, processing, interpreting, organizing and thinking about information. Students have different learning styles, which is the reason for the diversity seen in classrooms in regards to how students acquire information. Claxton and Murrell had divided the learning styles into the following four categories: personality models, information-processing models, social-interaction models, and instructional preferences models. VARK (an acronym for Visual, Aural, Read/write and Kinesthetic, different way of learning styles is a learning inventory categorized into the ‘instructional preference’ modal. Many studies were done using the VARK inventory among the medical education but the preferred mode of learning was variable in different parts of the world. The relationship of age, gender and academic performance with the mode of learning was also not consistent. So this article tried to conclude the preferred mode of learning and relationship of mode of learning with gender and other factors by analyzing the previous studies done using VARK questionnaire among the medical students in daily teaching and learning environment. Pub Med and Google Scholar were used as a search engine to find the article. Altogether 20 full text research papers were retrieved and reviewed. In the most of part of the world the studies showed that multimodal learning style was the predominant one over unimodal. Further in multimodal quadmodal was the most preferred one followed by other presentation. In the unimodal presentation most preferred one is kinesthetic type of learning along with visual, aural and read write in less extent. Age factors had no lucid relationship with the learning style though some variations were observed with age.This review was expected to be useful as scientific evidence in the field of medical education and also as a reference for further research.

On learning to inquire: Revisiting the detailed inquiry.

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Appelbaum, David

2010-03-01

This paper describes the author's experience of initial disorientation when encountering for the first time in supervision an interpersonal analytic approach with an emphasis on active questioning of the patient through the use of a detailed inquiry. This initial disorientation is linked to a predominant trend in psychoanalysis that generally opposes the use of questions as a significant means of analytic interaction. In contrast, Interpersonal approaches that make free use of inquiry are discussed in light of the author's clinical experience that learning to inquire contributed to a more finely tuned awareness of the analytic process.

ERPs recorded during early second language exposure predict syntactic learning.

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Batterink, Laura; Neville, Helen J

2014-09-01

Millions of adults worldwide are faced with the task of learning a second language (L2). Understanding the neural mechanisms that support this learning process is an important area of scientific inquiry. However, most previous studies on the neural mechanisms underlying L2 acquisition have focused on characterizing the results of learning, relying upon end-state outcome measures in which learning is assessed after it has occurred, rather than on the learning process itself. In this study, we adopted a novel and more direct approach to investigate neural mechanisms engaged during L2 learning, in which we recorded ERPs from beginning adult learners as they were exposed to an unfamiliar L2 for the first time. Learners' proficiency in the L2 was then assessed behaviorally using a grammaticality judgment task, and ERP data acquired during initial L2 exposure were sorted as a function of performance on this task. High-proficiency learners showed a larger N100 effect to open-class content words compared with closed-class function words, whereas low-proficiency learners did not show a significant N100 difference between open- and closed-class words. In contrast, amplitude of the N400 word category effect correlated with learners' L2 comprehension, rather than predicting syntactic learning. Taken together, these results indicate that learners who spontaneously direct greater attention to open- rather than closed-class words when processing L2 input show better syntactic learning, suggesting a link between selective attention to open-class content words and acquisition of basic morphosyntactic rules. These findings highlight the importance of selective attention mechanisms for L2 acquisition.

Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller

OpenAIRE

Pak Kin Wong; Hang Cheong Wong; Chi Man Vong; Tong Meng Iong; Ka In Wong; Xianghui Gao

2015-01-01

Effective air-ratio control is desirable to maintain the best engine performance. However, traditional air-ratio control assumes the lambda sensor located at the tail pipe works properly and relies strongly on the air-ratio feedback signal measured by the lambda sensor. When the sensor is warming up during cold start or under failure, the traditional air-ratio control no longer works. To address this issue, this paper utilizes an advanced modelling technique, kernel extreme learning machine (...

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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Benedetti, Marcello; Realpe-Gómez, John; Biswas, Rupak; Perdomo-Ortiz, Alejandro

2017-10-01

Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum computing technologies as sampling engines to speed up these tasks or to make them more effective. However, some pressing challenges in state-of-the-art quantum annealers have to be overcome before we can assess their actual performance. The sparse connectivity, resulting from the local interaction between quantum bits in physical hardware implementations, is considered the most severe limitation to the quality of constructing powerful generative unsupervised machine-learning models. Here, we use embedding techniques to add redundancy to data sets, allowing us to increase the modeling capacity of quantum annealers. We illustrate our findings by training hardware-embedded graphical models on a binarized data set of handwritten digits and two synthetic data sets in experiments with up to 940 quantum bits. Our model can be trained in quantum hardware without full knowledge of the effective parameters specifying the corresponding quantum Gibbs-like distribution; therefore, this approach avoids the need to infer the effective temperature at each iteration, speeding up learning; it also mitigates the effect of noise in the control parameters, making it robust to deviations from the reference Gibbs distribution. Our approach demonstrates the feasibility of using quantum annealers for implementing generative models, and it provides a suitable framework for benchmarking these quantum technologies on machine-learning-related tasks.

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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Marcello Benedetti

2017-11-01

Full Text Available Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum computing technologies as sampling engines to speed up these tasks or to make them more effective. However, some pressing challenges in state-of-the-art quantum annealers have to be overcome before we can assess their actual performance. The sparse connectivity, resulting from the local interaction between quantum bits in physical hardware implementations, is considered the most severe limitation to the quality of constructing powerful generative unsupervised machine-learning models. Here, we use embedding techniques to add redundancy to data sets, allowing us to increase the modeling capacity of quantum annealers. We illustrate our findings by training hardware-embedded graphical models on a binarized data set of handwritten digits and two synthetic data sets in experiments with up to 940 quantum bits. Our model can be trained in quantum hardware without full knowledge of the effective parameters specifying the corresponding quantum Gibbs-like distribution; therefore, this approach avoids the need to infer the effective temperature at each iteration, speeding up learning; it also mitigates the effect of noise in the control parameters, making it robust to deviations from the reference Gibbs distribution. Our approach demonstrates the feasibility of using quantum annealers for implementing generative models, and it provides a suitable framework for benchmarking these quantum technologies on machine-learning-related tasks.

Cochlear implant users rely on tempo rather than on pitch information during perception of musical emotion.

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Caldwell, Meredith; Rankin, Summer K; Jiradejvong, Patpong; Carver, Courtney; Limb, Charles J

2015-09-01

The purpose of this study was to investigate the extent to which cochlear implant (CI) users rely on tempo and mode in perception of musical emotion when compared with normal hearing (NH) individuals. A test battery of novel four-bar melodies was created and adapted to four permutations with alterations of tonality (major vs. minor) and tempo (presto vs. largo), resulting in non-ambiguous (major key/fast tempo and minor key/slow tempo) and ambiguous (major key/slow tempo, and minor key/fast tempo) musical stimuli. Both CI and NH participants listened to each clip and provided emotional ratings on a Likert scale of +5 (happy) to -5 (sad). A three-way ANOVA demonstrated an overall effect for tempo in both groups, and an overall effect for mode in the NH group. The CI group rated stimuli of the same tempo similarly, regardless of changes in mode, whereas the NH group did not. A subgroup analysis indicated the same effects in both musician and non-musician CI users and NH listeners. The results suggest that the CI group relied more heavily on tempo than mode in making musical emotion decisions. The subgroup analysis further suggests that level of musical training did not significantly impact this finding. CI users weigh temporal cues more heavily than pitch cues in inferring musical emotion. These findings highlight the significant disadvantage of CI users in comparison with NH listeners for music perception, particularly during recognition of musical emotion, a critically important feature of music.

Gene expression inference with deep learning.

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Chen, Yifei; Li, Yi; Narayan, Rajiv; Subramanian, Aravind; Xie, Xiaohui

2016-06-15

Large-scale gene expression profiling has been widely used to characterize cellular states in response to various disease conditions, genetic perturbations, etc. Although the cost of whole-genome expression profiles has been dropping steadily, generating a compendium of expression profiling over thousands of samples is still very expensive. Recognizing that gene expressions are often highly correlated, researchers from the NIH LINCS program have developed a cost-effective strategy of profiling only ∼1000 carefully selected landmark genes and relying on computational methods to infer the expression of remaining target genes. However, the computational approach adopted by the LINCS program is currently based on linear regression (LR), limiting its accuracy since it does not capture complex nonlinear relationship between expressions of genes. We present a deep learning method (abbreviated as D-GEX) to infer the expression of target genes from the expression of landmark genes. We used the microarray-based Gene Expression Omnibus dataset, consisting of 111K expression profiles, to train our model and compare its performance to those from other methods. In terms of mean absolute error averaged across all genes, deep learning significantly outperforms LR with 15.33% relative improvement. A gene-wise comparative analysis shows that deep learning achieves lower error than LR in 99.97% of the target genes. We also tested the performance of our learned model on an independent RNA-Seq-based GTEx dataset, which consists of 2921 expression profiles. Deep learning still outperforms LR with 6.57% relative improvement, and achieves lower error in 81.31% of the target genes. D-GEX is available at https://github.com/uci-cbcl/D-GEX CONTACT: xhx@ics.uci.edu Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.