Mice lacking hippocampal left-right asymmetry show non-spatial learning deficits.

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Shimbo, Akihiro; Kosaki, Yutaka; Ito, Isao; Watanabe, Shigeru

2018-01-15

Left-right asymmetry is known to exist at several anatomical levels in the brain and recent studies have provided further evidence to show that it also exists at a molecular level in the hippocampal CA3-CA1 circuit. The distribution of N-methyl-d-aspartate (NMDA) receptor NR2B subunits in the apical and basal synapses of CA1 pyramidal neurons is asymmetrical if the input arrives from the left or right CA3 pyramidal neurons. In the present study, we examined the role of hippocampal asymmetry in cognitive function using β2-microglobulin knock-out (β2m KO) mice, which lack hippocampal asymmetry. We tested β2m KO mice in a series of spatial and non-spatial learning tasks and compared the performances of β2m KO and C57BL6/J wild-type (WT) mice. The β2m KO mice appeared normal in both spatial reference memory and spatial working memory tasks but they took more time than WT mice in learning the two non-spatial learning tasks (i.e., a differential reinforcement of lower rates of behavior (DRL) task and a straight runway task). The β2m KO mice also showed less precision in their response timing in the DRL task and showed weaker spontaneous recovery during extinction in the straight runway task. These results indicate that hippocampal asymmetry is important for certain characteristics of non-spatial learning. Copyright © 2017 Elsevier B.V. All rights reserved.

Intracerebral metastasis showing restricted diffusion: Correlation with histopathologic findings

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Duygulu, G. [Radiology Department, Ege University Medicine School, Izmir (Turkey); Ovali, G. Yilmaz [Radiology Department, Celal Bayar University Medicine School, Manisa (Turkey)], E-mail: gulgun.yilmaz@bayar.edu.tr; Calli, C.; Kitis, O.; Yuenten, N. [Radiology Department, Ege University Medicine School, Izmir (Turkey); Akalin, T. [Pathology Department, Ege University Medicine School, Izmir (Turkey); Islekel, S. [Neurosurgery Department, Ege University Medicine School, Izmir (Turkey)

2010-04-15

Objective: We aimed to detect the frequency of restricted diffusion in intracerebral metastases and to find whether there is correlation between the primary tumor pathology and diffusion-weighted MR imaging (DWI) findings of these metastases. Material and methods: 87 patients with intracerebral metastases were examined with routine MR imaging and DWI. 11 hemorrhagic metastatic lesions were excluded. The routine MR imaging included three plans before and after contrast enhancement. The DWI was performed with spin-echo EPI sequence with three b values (0, 500 and 1000), and ADC maps were calculated. 76 patients with metastases were grouped according to primary tumor histology and the ratios of restricted diffusion were calculated according to these groups. ADCmin values were measured within the solid components of the tumors and the ratio of metastases with restricted diffusion to that which do not show restricted diffusion were calculated. Fisher's exact and Mann-Whitney U tests were used for the statistical analysis. Results: Restricted diffusion was observed in a total of 15 metastatic lesions (19, 7%). Primary malignancy was lung carcinoma in 10 of these cases (66, 6%) (5 small cell carcinoma, 5 non-small cell carcinoma), and breast carcinoma in three cases (20%). Colon carcinoma and testicular teratocarcinoma were the other two primary tumors in which restricted diffusion in metastasis was detected. There was no statistical significant difference between the primary pathology groups which showed restricted diffusion (p > 0.05). ADCmin values of solid components of the metastasis with restricted diffusion and other metastasis without restricted diffusion also showed no significant statistical difference (0.72 {+-} 0.16 x 10{sup -3} mm{sup 2}/s and 0.78 {+-} 21 x 10{sup -3} mm{sup 2}/s respectively) (p = 0.325). Conclusion: Detection of restricted diffusion on DWI in intracerebral metastasis is not rare, particularly if the primary tumor is lung or breast

MRI in assessing children with learning disability, focal findings, and reduced automaticity.

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Urion, David K; Huff, Hanalise V; Carullo, Maria Paulina

2015-08-18

In children with clinically diagnosed learning disabilities with focal findings on neurologic or neuropsychological evaluations, there is a hypothesized association between disorders in automaticity and focal structural abnormalities observed in brain MRIs. We undertook a retrospective analysis of cases referred to a tertiary-hospital-based learning disabilities program. Individuals were coded as having a focal deficit if either neurologic or neuropsychological evaluation demonstrated focal dysfunction. Those with abnormal MRI findings were categorized based on findings. Children with abnormalities from each of these categories were compared in terms of deficits in automaticity, as measured by the tasks of Rapid Automatized Naming, Rapid Alternating Stimulus Naming, or the timed motor performance battery from the Physical and Neurological Examination for Soft Signs. Data were compared in children with and without disorders of automaticity regarding type of brain structure abnormality. Of the 1,587 children evaluated, 127 had a focal deficit. Eighty-seven had a brain MRI (52 on 1.5-tesla machines and 35 on 3.0-tesla machines). Forty of these images were found to be abnormal. These children were compared with a clinic sample of 150 patients with learning disabilities and no focal findings on examination, who also had undergone MRI. Only 5 of the latter group had abnormalities on MRI. Reduced verbal automaticity was associated with cerebellar abnormalities, whereas reduced automaticity on motor or motor and verbal tasks was associated with white matter abnormalities. Reduced automaticity of retrieval and slow timed motor performance appear to be highly associated with MRI findings. © 2015 American Academy of Neurology.

Rats with congenital learned helplessness respond less to sucrose but show no deficits in activity or learning.

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Vollmayr, Barbara; Bachteler, Daniel; Vengeliene, Valentina; Gass, Peter; Spanagel, Rainer; Henn, Fritz

2004-04-02

Inbred rat strains for congenital learned helplessness (cLH) and for congenital resistance to learned helplessness (cNLH) were investigated as a model to study genetic predisposition to major depression. Congenitally helpless rats respond less to sucrose under a progressive ratio schedule. This is not confounded by locomotor hypoactivity: in contrast, cLH rats show a slight hyperactivity during the first 5 min of an open field test. cLH rats acquire operant responding to sucrose as readily as cNLH rats and exhibit normal memory acquisition and retrieval in the Morris water maze, thus ruling out general learning deficits as the cause of the decreased response to sucrose. Reduced total responses and reduced breaking points for sucrose in the cLH strain argue for anhedonia, which is an analogue to loss of pleasure essential for the diagnosis of major depressive episodes, and thus confirm the validity of congenitally learned helpless rats as a model of major depression.

Finding faults: analogical comparison supports spatial concept learning in geoscience.

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Jee, Benjamin D; Uttal, David H; Gentner, Dedre; Manduca, Cathy; Shipley, Thomas F; Sageman, Bradley

2013-05-01

A central issue in education is how to support the spatial thinking involved in learning science, technology, engineering, and mathematics (STEM). We investigated whether and how the cognitive process of analogical comparison supports learning of a basic spatial concept in geoscience, fault. Because of the high variability in the appearance of faults, it may be difficult for students to learn the category-relevant spatial structure. There is abundant evidence that comparing analogous examples can help students gain insight into important category-defining features (Gentner in Cogn Sci 34(5):752-775, 2010). Further, comparing high-similarity pairs can be especially effective at revealing key differences (Sagi et al. 2012). Across three experiments, we tested whether comparison of visually similar contrasting examples would help students learn the fault concept. Our main findings were that participants performed better at identifying faults when they (1) compared contrasting (fault/no fault) cases versus viewing each case separately (Experiment 1), (2) compared similar as opposed to dissimilar contrasting cases early in learning (Experiment 2), and (3) viewed a contrasting pair of schematic block diagrams as opposed to a single block diagram of a fault as part of an instructional text (Experiment 3). These results suggest that comparison of visually similar contrasting cases helped distinguish category-relevant from category-irrelevant features for participants. When such comparisons occurred early in learning, participants were more likely to form an accurate conceptual representation. Thus, analogical comparison of images may provide one powerful way to enhance spatial learning in geoscience and other STEM disciplines.

Exploration of Learning Strategies Associated With Aha Learning Moments.

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Pilcher, Jobeth W

2016-01-01

Educators recognize aha moments as powerful aspects of learning. Yet limited research has been performed regarding how to promote these learning moments. This article describes an exploratory study of aha learning moments as experienced and described by participants. Findings showed use of visuals, scenarios, storytelling, Socratic questions, and expert explanation led to aha learning moments. The findings provide guidance regarding the types of learning strategies that can be used to promote aha moments.

The Biochemistry Show: a new and fun tool for learning

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A.H Ono

2006-07-01

Full Text Available The traditional methods to teach biochemistry in most universities are based on the memorization of chemical structures,  biochemical  pathways  and  reagent  names,  which  is  many  times  dismotivating  for  the  students.  We presently describe an innovative, interactive and alternative method for teaching biochemistry to medical and nutrition undergraduate students, called the Biochemistry Show (BioBio Show.The Biobio show is based on active participation of the students. They are divided in groups and the groups face each other. One group faces another one group at a time, in a game based on true or false questions that involve subjects of applied biochemistry (exercise, obesity, diabetes, cholesterol, free radicals, among others. The questions of the Show are previously elaborated by senior students. The Biobio Show has four phases, the first one is a selection exam, and from the second to the fourth phase, eliminatory confrontations happen. On a confrontation, the first group must select a certain quantity of questions for the opponent to answer.  The group who choses the questions must know how to answer and justify the selected questions. This procedure is repeated on all phases of the show. On the last phase, the questions used are taken from an exam previously performed by the students: either the 9-hour biochemistry exam (Sé et al. A 9-hour biochemistry exam. An iron man competition or a good way of evaluating undergraduate students? SBBq 2005, abstract K-6 or the True-or-False exam (TFE (Sé et al. Are tutor-students capable of writing good biochemistry exams? SBBq 2004, abstract K-18. The winner group receives an extra 0,5 point on the final grade. Over 70% of the students informed on a questionnaire that the Biobio Show is a valuable tool for learning biochemistry.    That is a new way to enrich the discussion of biochemistry in the classroom without the students getting bored. Moreover, learning

Learning with STEM Simulations in the Classroom: Findings and Trends from a Meta-Analysis

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D'Angelo, Cynthia M.; Rutstein, Daisy; Harris, Christopher J.

2016-01-01

This article presents a summary of the findings of a systematic review and meta-analysis of the literature on computer-based interactive simulations for K-12 science, technology, engineering, and mathematics (STEM) learning topics. For achievement outcomes, simulations had a moderate to strong effect on student learning. Overall, simulations have…

Differences in MRI findings in cases showing ring-enhancement on a CT scan

International Nuclear Information System (INIS)

Tokiwa, Kaichi; Hashimoto, Takashi; Miyasaka, Yoshio; Yada, Kenzoh; Kan, Shinichi; Takagi, Hiroshi.

1990-01-01

It is sometimes difficult to differentiate between a brain abscess and a tumor, for both show ring-enhancement on a CT scan. The present authors have studied the benefit of MRI for the differential diagnosis of these two lesions. The subjects of this study were 6 cases of brain abscess and 10 cases of brain tumor, all of them showing ring-enhancement on a CT scan. The MRI findings were compared with those of the CT scan taken at almost the same time, especially focussing on the difference in the ring-enhancement. In 5 out of the 6 cases of brain abscess, T 2 -weighted MRI demonstrated a comparatively thin and homogeneous low-intensity, round rim. In the cases of brain tumor, however, none of the cases demonstrated this typical low-intensity, round rim; rather, in them the rim was thick and irregular. The authors can conclude that those MRI findings can serve as important differential diagnostic findings between brain abscess and tumor; also, MRI may be used as a landmark for terminating the administration of antibiotics in cases of brain abscess. (author)

Findings of, and reflections on, the Gender, Lifelong Learning and Social Class (GLAS project. A UK partnership based perspective.

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Sue Betts

2014-06-01

Full Text Available This paper describes the main findings of GLAS, a two-year, EC co-funded project to address potential barriers to lifelong learning. In considering the genesis of the project, its structure and partnership, we will discuss findings from the perspective of UK partners, Linking London. We will show that tackling complex issues of social inclusion requires the creative use of processes and strategies which already exist within higher education, and conclude by making recommendations for future research and action.

Using Deep Learning Neural Networks To Find Best Performing Audience Segments

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Anup Badhe

2015-08-01

Full Text Available Finding the appropriate mobile audience for mobile advertising is always challenging since there are many data points that need to be considered and assimilated before a target segment can be created and used in ad serving by any ad server. Deep learning neural networks have been used in machine learning to use multiple processing layers to interpret large datasets with multiple dimensions to come up with a high-level characterization of the data. During a request for an advertisement and subsequently serving of the advertisement on the mobile device there are many trackers that are fired collecting a lot of data points. If the user likes the advertisement and clicks on it another set of trackers give additional information resulting from the click. This information is aggregated by the ad server and shown in its reporting console. The same information can form the basis of machine learning by feeding this information to a deep learning neural network to come up with audiences that can be targeted based on the product that is advertised.

Ageing and spatial reversal learning in humans: findings from a virtual water maze.

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Schoenfeld, R; Foreman, N; Leplow, B

2014-08-15

Deterioration in spatial memory with normal ageing is well accepted. Animal research has shown spatial reversal learning to be most vulnerable to pathological changes in the brain, but this has never been tested in humans. We studied ninety participants (52% females, 20-80 yrs) in a virtual water maze with a reversal learning procedure. Neuropsychological functioning, mood and personality were assessed to control moderator effects. For data analysis, participants were subdivided post hoc into groups aged 20-24, 25-34, 35-44, 45-64 and 65-80 yrs. Initial spatial learning occurred in all age groups but 65-80-yrs-olds never reached the level of younger participants. When tested for delayed recall of spatial memory, younger people frequented the target area but those over 65 yrs did not. In spatial reversal learning, age groups over 45 yrs were deficient and the 65-80-yrs-olds showed no evidence of reversal. Spatial measures were associated with neuropsychological functioning. Extraversion and measures of depression moderated the age effect on the learning index with older introverted and non-depressed individuals showing better results. Measures of anxiety moderated the age effect on reversal learning with older people having higher anxiety scores showing a preserved reversal learning capability. Results confirmed age to be a major factor in spatial tasks but further showed neuropsychological functioning, psycho-affective determinants and personality traits to be significant predictors of individual differences. Copyright © 2014 Elsevier B.V. All rights reserved.

The English Definite Article: What ESL/EFL Grammars Say and What Corpus Findings Show

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WonHo Yoo, Isaiah

2009-01-01

To ascertain whether what ESL/EFL grammars say is informed by what scholars discuss in the literature and supported by what corpus findings actually show, this paper first presents a brief overview of the literature on the English definite article and then compares popular ESL/EFL grammars' coverage of "the" and corpus findings on definite article…

Learning Strategies of the Arab EFL Learners: Finding Correlation with Outcomes

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Al-Ahdal, Arif Ahmed Mohammed Hassan; Al-Ma'amari, Ahmed Ali Hassan

2015-01-01

Socio-psychological research and findings into learner differences led to the emergence of learner strategies research in the last century. With major contributions from the emerging field of Linguistics in the mid 1970s, language learning strategies began to receive considerable attention. It is worth noting that the primary concern of most of…

Interprofessional online learning for primary healthcare: findings from a scoping review.

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Reeves, Scott; Fletcher, Simon; McLoughlin, Clodagh; Yim, Alastair; Patel, Kunal D

2017-08-04

This article presents the findings from a scoping review which explored the nature of interprofessional online learning in primary healthcare. The review was informed by the following questions: What is the nature of evidence on online postgraduate education for primary healthcare interprofessional teams? What learning approaches and study methods are used in this context? What is the range of reported outcomes for primary healthcare learners, their organisations and the care they deliver to patients/clients? The review explored the global literature on interprofessional online learning in primary healthcare settings. The review found that the 23 included studies employed a range of different e-learning methods with contrasting course durations, use of theory, participant mix, approaches to accreditation and assessment of learning. Most of the included studies reported outcomes associated with learner reactions and positive changes in participant attitudes/perceptions and improvement in knowledge/skills as a result of engagement in an e-learning course. In contrast, fewer studies reported changes in participant behaviours, changes in organisational practice and improvements to patients/clients. A number of educational, methodological and outcome implications are be offered. E-learning can enhance an education experience, support development, ease time constraints, overcome geographic limitations and can offer greater flexibility. However, it can also contribute to the isolation of learners and its benefits can be negated by technical problems. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Learning outdoors: male lizards show flexible spatial learning under semi-natural conditions

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Noble, Daniel W. A.; Carazo, Pau; Whiting, Martin J.

2012-01-01

Spatial cognition is predicted to be a fundamental component of fitness in many lizard species, and yet some studies suggest that it is relatively slow and inflexible. However, such claims are based on work conducted using experimental designs or in artificial contexts that may underestimate their cognitive abilities. We used a biologically realistic experimental procedure (using simulated predatory attacks) to study spatial learning and its flexibility in the lizard Eulamprus quoyii in semi-natural outdoor enclosures under similar conditions to those experienced by lizards in the wild. To evaluate the flexibility of spatial learning, we conducted a reversal spatial-learning task in which positive and negative reinforcements of learnt spatial stimuli were switched. Nineteen (32%) male lizards learnt both tasks within 10 days (spatial task mean: 8.16 ± 0.69 (s.e.) and reversal spatial task mean: 10.74 ± 0.98 (s.e.) trials). We demonstrate that E. quoyii are capable of flexible spatial learning and suggest that future studies focus on a range of lizard species which differ in phylogeny and/or ecology, using biologically relevant cognitive tasks, in an effort to bridge the cognitive divide between ecto- and endotherms. PMID:23075525

Language Learning at Key Stage 2: Findings from a Longitudinal Study

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Cable, Carrie; Driscoll, Patricia; Mitchell, Rosamond; Sing, Sue; Cremin, Teresa; Earl, Justine; Eyres, Ian; Holmes, Bernardette; Martin, Cynthia; Heins, Barbara

2012-01-01

This paper discusses some of the findings from a 3-year longitudinal study of language learning in the upper stage of English primary schools, i.e. at Key Stage 2. This largely qualitative study (commissioned by the then Department for Children, Schools and Families) was designed to explore and document developing provision and practice in a…

Problem-based Learning and Problem Finding Among University Graduate Students

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Ankit, A, Ravankar; Shotaro, Imai; Michiyo, Shimamura; Go, Chiba; Taichi, Takasuka

2017-01-01

In recent years, problem-based learning (PBL) techniques have been gaining momentum in schools and university curricula around the world. The main advantage of the PBL method is that it promotes creative problem solving, improves cognition and enhances overall thought processes in learners. For most PBL-style programmes, problem solving is at the core, although the notion of problem discovery or problem finding is not seriously considered. In most cases, students are always presen...

Show Me What You See: An Exploration of Learning in Museums and Learning in Theatre

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Chou, Amy; Shih, Janet

2010-01-01

The main goal of this research study is to explore the interconnection between museum learning and theatre learning. We will begin this exploratory process by analyzing the functions of role-playing and improvisation as teaching and learning strategies, and we will then expand this analysis to the idea of storytelling as a link between learning in…

Programme Implementation in Social and Emotional Learning: Basic Issues and Research Findings

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Durlak, Joseph A.

2016-01-01

This paper discusses the fundamental importance of achieving quality implementation when assessing the impact of social and emotional learning interventions. Recent findings in implementation science are reviewed that include a definition of implementation, its relation to programme outcomes, current research on the factors that affect…

Engaging Students in Learning: Findings from a Study of Project-Led Education

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Fernandes, Sandra; Mesquita, Diana; Flores, Maria Assunção; Lima, Rui M.

2014-01-01

This paper reports on findings from a three-year study of project-based learning implemented in the first year of the Industrial Engineering and Management programme, at the University of Minho, Portugal. This particular model was inspired on project-led education (PLE), following Powell and Weenk's [2003. "Project-Led Engineering…

Finding Funds to Move Summer Learning Forward

Science.gov (United States)

Seidel, Bob

2015-01-01

Summer learning loss creates a permanent drag on the US education system. With the generous support of the Charles Stewart Mott Foundation, the National Summer Learning Association (NSLA) developed "Moving Summer Learning Forward: A Strategic Roadmap for Funding in Tough Times" to provide out-of-school time programs, school districts,…

Fantastic Learning Moments and Where to Find Them

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Alexander Y. Sheng

2017-12-01

Full Text Available Introduction Experiential learning is crucial for the development of all learners. Literature exploring how and where experiential learning happens in the modern clinical learning environment is sparse. We created a novel, web-based educational tool called “Learning Moment” (LM to foster experiential learning among our learners. We used data captured by LM as a research database to determine where learning experiences were occuring within our emergency department (ED. We hypothesized that these moments would occur more frequently at the physician workstations as opposed to the bedside. Methods We implemented LM at a single ED’s medical student clerkship. The platform captured demographic data including the student’s intended specialty and year of training as well as “learning moments,” defined as logs of learner self-selected learning experiences that included the clinical “pearl,” clinical scenario, and location where the “learning moment” occurred. We presented data using descriptive statistics with frequencies and percentages. Locations of learning experiences were stratified by specialty and training level. Results A total of 323 “learning moments” were logged by 42 registered medical students (29 fourth-year medical students (MS 4 and 13 MS 3 over a six-month period. Over half (52.4% intended to enter the field of emergency medicine (EM. Of these “learning moments,” 266 included optional location data. The most frequently reported location was patient rooms (135 “learning moments”, 50.8%. Physician workstations hosted the second most frequent “learning moments” (67, 25.2%. EM-bound students reported 43.7% of “learning moments” happening in patient rooms, followed by workstations (32.8%. On the other hand, non EM-bound students reported that 66.3% of “learning moments” occurred in patient rooms and only 8.4% at workstations (p<0.001. Conclusion LM was implemented within our ED as an innovative, web

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

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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.

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

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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.

Machine-Learning-Based No Show Prediction in Outpatient Visits

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Carlos Elvira

2018-03-01

Full Text Available A recurring problem in healthcare is the high percentage of patients who miss their appointment, be it a consultation or a hospital test. The present study seeks patient’s behavioural patterns that allow predicting the probability of no- shows. We explore the convenience of using Big Data Machine Learning models to accomplish this task. To begin with, a predictive model based only on variables associated with the target appointment is built. Then the model is improved by considering the patient’s history of appointments. In both cases, the Gradient Boosting algorithm was the predictor of choice. Our numerical results are considered promising given the small amount of information available. However, there seems to be plenty of room to improve the model if we manage to collect additional data for both patients and appointments.

When are night shifts effective for nursing student clinical learning? Findings from a mixed-method study design.

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Palese, Alvisa; Basso, Felix; Del Negro, Elena; Achil, Illarj; Ferraresi, Annamaria; Morandini, Marzia; Moreale, Renzo; Mansutti, Irene

2017-05-01

Some nursing programmes offer night shifts for students while others do not, mainly due to the lack of evidence regarding their effectiveness on clinical learning. The principal aims of the study were to describe nursing students' perceptions and to explore conditions influencing effectiveness on learning processes during night shifts. An explanatory mixed-method study design composed of a cross-sectional study (primary method, first phase) followed by a descriptive phenomenological study design (secondary method, second phase) in 2015. Two bachelor of nursing degree programmes located in Northern Italy, three years in length and requiring night shifts for students starting in the second semester of the 1st year, were involved. First phase: all nursing students ending their last clinical placement of the academic year attended were eligible; 352 out the 370 participated. Second phase: a purposeful sample of nine students among those included in the first phase and who attended the highest amount of night shifts were interviewed. First phase: a questionnaire composed of closed and open-ended questions was adopted; data was analyzed through descriptive statistical methods. Second phase: an open-ended face-to-face audio-recorded interview was adopted and data was analyzed through content analysis. Findings from the quantitative phase, showed that students who attended night shifts reported satisfaction (44.7%) less frequently than those who attended only day shifts (55.9%). They also reported boredom (23.5%) significantly more often compared to day shift students (p=0001). Understanding of the nursing role and learning competence was significantly inferior among night shift students as compared to day shift students, while the perception of wasting time was significantly higher among night shift students compared to their counterparts. Night shift students performed nursing rounds (288; 98.2%), non-nursing tasks (247; 84.3%) and/or less often managed clinical problems

Fibroadenomas of the breast showing an ill-defined margin on ultrasonogram: Correlation with histopathologic findings

International Nuclear Information System (INIS)

Hwang, Ji Young; Choi, Hye Young; Shim, Sung Shine; Rhee, Chung Sik; Sung, Soon Hee

2002-01-01

To correlate the sonographic finding of ill-defined fibroadenoma with the histopathologic findings. Sonographic finding of forty nine surgically proven fibroadenomas were retrospectively correlated with histopathologic findings. We evaluated sonographic findings including the margin, shape, size and the echotexture of fibroadenoma. The histopathologic glandular structure, stromal type of fibroadenoma, type of the surrounding breast tissue and presence of interdigitation between fibroadenoma and the surrounding breast tissue were pathologically reviewed and analyzed statistically. Breast sonography of fibroadenomas demonstrated well-defined margin in 28 (57%) and ill-defined margin in 21 (43%) among 49 lesions. Histopathologically, the glandular structure and type of the surrounding breast tissue were not significantly different between well-defined and ill-defined fibroadenomas. The stromal type of fibroadenoma was sclerotic in 8 (29%) well-defined fibroadenomas while sclerotic in 15 (72%) of 21 ill-defined fibroadenomas,showing difference with a statistical significance between well-defined and ill-defined fibroadenomas (p<0.05). Twenty (71%) of 28 fibroadenomas with well-defined sonographic margins showed well-defined border between mass and the surrounding breast tissue, pathologically. Meanwhile, twenty (95%) of 21 fibroadenomas with ill-defined sonographic margins demonstrated interdigitation of the surrounding breast tissue and mass, exhibiting a statistical significance (p<0.005). Ill-defined margins of fibroadenomas on sonography represent the interdigitation of the surrounding breast tissue with a mass and is seen in the sclerotic stromal type of fibroadenomas.

Fibroadenomas of the breast showing an ill-defined margin on ultrasonogram: Correlation with histopathologic findings

Energy Technology Data Exchange (ETDEWEB)

Hwang, Ji Young; Choi, Hye Young; Shim, Sung Shine; Rhee, Chung Sik; Sung, Soon Hee [Ewha Womans University College of Medicine, Seoul (Korea, Republic of)

2002-12-15

To correlate the sonographic finding of ill-defined fibroadenoma with the histopathologic findings. Sonographic finding of forty nine surgically proven fibroadenomas were retrospectively correlated with histopathologic findings. We evaluated sonographic findings including the margin, shape, size and the echotexture of fibroadenoma. The histopathologic glandular structure, stromal type of fibroadenoma, type of the surrounding breast tissue and presence of interdigitation between fibroadenoma and the surrounding breast tissue were pathologically reviewed and analyzed statistically. Breast sonography of fibroadenomas demonstrated well-defined margin in 28 (57%) and ill-defined margin in 21 (43%) among 49 lesions. Histopathologically, the glandular structure and type of the surrounding breast tissue were not significantly different between well-defined and ill-defined fibroadenomas. The stromal type of fibroadenoma was sclerotic in 8 (29%) well-defined fibroadenomas while sclerotic in 15 (72%) of 21 ill-defined fibroadenomas,showing difference with a statistical significance between well-defined and ill-defined fibroadenomas (p<0.05). Twenty (71%) of 28 fibroadenomas with well-defined sonographic margins showed well-defined border between mass and the surrounding breast tissue, pathologically. Meanwhile, twenty (95%) of 21 fibroadenomas with ill-defined sonographic margins demonstrated interdigitation of the surrounding breast tissue and mass, exhibiting a statistical significance (p<0.005). Ill-defined margins of fibroadenomas on sonography represent the interdigitation of the surrounding breast tissue with a mass and is seen in the sclerotic stromal type of fibroadenomas.

Finding a balance in dimensions of blended learning

NARCIS (Netherlands)

Verkroost, M.; Meijerink, L.; Lintsen, H.W.; Veen, W.

2008-01-01

This article is a formative evaluation of a course in which a blended learning environment was created and a good balance in dimensions of blended learning was sought. Blended learning is defined as the total mix of pedagogical methods, using a combination of different learning strategies, both with

The Effectiveness of Web-Delivered Learning with Aboriginal Students: Findings from a Study in Coastal Labrador

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Philpott, David; Sharpe, Dennis; Neville, Rose

2009-01-01

This paper outlines the findings of a study that explores perspectives of e-learning for aboriginal students in five coastal communities in Labrador, Canada. The rural nature of many communities in the province of Newfoundland and Labrador, coupled with a dramatically declining enrollment, has resulted in expanding use of e-learning as a means to…

Blended learning on family planning policy requirements: key findings and implications for health professionals.

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Limaye, Rupali J; Ahmed, Naheed; Ohkubo, Saori; Ballard, Anne

2018-04-01

To address unmet needs for family planning and advance women's rights, US federal foreign aid recipients must ensure compliance with the family planning legislative and policy requirements. Because many health providers work in rural and remote settings, blended learning, which combines in-person and online experiences, is a promising approach for strengthening their compliance knowledge. This cross-sectional study examined the effect of blended learning that included three components (online course, in-person training and conference call) on retention of family planning compliance knowledge. A total of 660 learners from 44 countries completed the online survey (8% response rate). Study participants were asked about their knowledge of family planning compliance and suggestions to improve their learning experiences. Knowledge retention was higher in the group that utilised all three learning approaches compared with the online course plus conference call group (Pblended learning training resulted in the highest gains in knowledge retention compared with online-only learning. These findings suggest that blended learning and repeat online trainings are critical to ensuring health professionals are aware of family planning compliance regulations. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Implicit visual learning and the expression of learning.

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Haider, Hilde; Eberhardt, Katharina; Kunde, Alexander; Rose, Michael

2013-03-01

Although the existence of implicit motor learning is now widely accepted, the findings concerning perceptual implicit learning are ambiguous. Some researchers have observed perceptual learning whereas other authors have not. The review of the literature provides different reasons to explain this ambiguous picture, such as differences in the underlying learning processes, selective attention, or differences in the difficulty to express this knowledge. In three experiments, we investigated implicit visual learning within the original serial reaction time task. We used different response devices (keyboard vs. mouse) in order to manipulate selective attention towards response dimensions. Results showed that visual and motor sequence learning differed in terms of RT-benefits, but not in terms of the amount of knowledge assessed after training. Furthermore, visual sequence learning was modulated by selective attention. However, the findings of all three experiments suggest that selective attention did not alter implicit but rather explicit learning processes. Copyright © 2012 Elsevier Inc. All rights reserved.

Do sophisticated epistemic beliefs predict meaningful learning? Findings from a structural equation model of undergraduate biology learning

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Lee, Silvia Wen-Yu; Liang, Jyh-Chong; Tsai, Chin-Chung

2016-10-01

This study investigated the relationships among college students' epistemic beliefs in biology (EBB), conceptions of learning biology (COLB), and strategies of learning biology (SLB). EBB includes four dimensions, namely 'multiple-source,' 'uncertainty,' 'development,' and 'justification.' COLB is further divided into 'constructivist' and 'reproductive' conceptions, while SLB represents deep strategies and surface learning strategies. Questionnaire responses were gathered from 303 college students. The results of the confirmatory factor analysis and structural equation modelling showed acceptable model fits. Mediation testing further revealed two paths with complete mediation. In sum, students' epistemic beliefs of 'uncertainty' and 'justification' in biology were statistically significant in explaining the constructivist and reproductive COLB, respectively; and 'uncertainty' was statistically significant in explaining the deep SLB as well. The results of mediation testing further revealed that 'uncertainty' predicted surface strategies through the mediation of 'reproductive' conceptions; and the relationship between 'justification' and deep strategies was mediated by 'constructivist' COLB. This study provides evidence for the essential roles some epistemic beliefs play in predicting students' learning.

WA10 Working in partnership with people with learning disabilities: academics and people with learning disabilities working together to disseminate the findings of a confidential inquiry into deaths of people with learning disabilities through film.

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Russ, Lesley

2015-04-01

In England, between 2010-2013, a Confidential Inquiry into premature Deaths of People with Learning Disabilities was commissioned by the Department of Health. This took place in SW England led by Norah Fry Research Centre at Bristol University. Findings from the investigations into 247 deaths included that men with learning disabilities die, on average 13 years sooner and women, on average 20 years sooner, than the general population. Over 1/3 (37%) were found to be avoidable, being amenable to good quality healthcare. A number of key recommendations were made which required understanding by a range of audiences including people with learning disabilities and their carers. This workshop will demonstrate how academics can work with actors with learning disabilities to disseminate research findings about a sensitive subject in a thought provoking and accessible way. Academics worked with the MISFITs theatre company to make a DVD about the findings and recommendations of the Confidential Inquiry. The DVD presents the findings of the Confidential Inquiry through the stories of John, Bill, Karen and Emily. It powerfully illustrates the importance of diagnosing and treating illness of people with learning disabilities in a timely and appropriate manner and highlights the measures that could be taken to reduce premature deaths in this population. The session provides an example of how the voices of people with learning disabilities can communicate research messages effectively to people with learning disabilities, health and social care practitioners and others who support the learning disability population. © 2015, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding

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Lanusse, François; Ma, Quanbin; Li, Nan; Collett, Thomas E.; Li, Chun-Liang; Ravanbakhsh, Siamak; Mandelbaum, Rachel; Póczos, Barnabás

2018-01-01

Galaxy-scale strong gravitational lensing can not only provide a valuable probe of the dark matter distribution of massive galaxies, but also provide valuable cosmological constraints, either by studying the population of strong lenses or by measuring time delays in lensed quasars. Due to the rarity of galaxy-scale strongly lensed systems, fast and reliable automated lens finding methods will be essential in the era of large surveys such as Large Synoptic Survey Telescope, Euclid and Wide-Field Infrared Survey Telescope. To tackle this challenge, we introduce CMU DeepLens, a new fully automated galaxy-galaxy lens finding method based on deep learning. This supervised machine learning approach does not require any tuning after the training step which only requires realistic image simulations of strongly lensed systems. We train and validate our model on a set of 20 000 LSST-like mock observations including a range of lensed systems of various sizes and signal-to-noise ratios (S/N). We find on our simulated data set that for a rejection rate of non-lenses of 99 per cent, a completeness of 90 per cent can be achieved for lenses with Einstein radii larger than 1.4 arcsec and S/N larger than 20 on individual g-band LSST exposures. Finally, we emphasize the importance of realistically complex simulations for training such machine learning methods by demonstrating that the performance of models of significantly different complexities cannot be distinguished on simpler simulations. We make our code publicly available at https://github.com/McWilliamsCenter/CMUDeepLens.

Infants' Learning, Memory, and Generalization of Learning for Bimodal Events.

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Morrongiello, Barbara A.; Lasenby, Jennifer; Lee, Naomi

2003-01-01

Two studies examined the impact of temporal synchrony on infants' learning of and memory for sight-sound pairs. Findings indicated that 7-month-olds had no difficulty learning auditory-visual pairs regardless of temporal synchrony, remembering them 10 minutes later and 1 week later. Three-month-olds showed poorer learning in no-synchrony than in…

Studies of Expansive Learning: Foundations, Findings and Future Challenges

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Yrjö Engeström

2013-07-01

Full Text Available The paper examines studies based on the theory of expansive learning, formulated in 1987. In recent years the theory has been used in a wide variety of studies and interventions. The theory builds on foundational ideas put forward by Vygotsky, Leont’ev, Il’enkov, and Davydov, key figures in the Russian school of cultural-historical activity theory. Studies based on the theory are reviewed in six sections: expansive learning as transformation of the object, expansive learning as movement in the zone of proximal development, expansive learning as cycles of learning actions, expansive learning as boundary crossing and network building, expansive learning as distributed and discontinuous movement, and formative interventions.A separate section is devoted to critiques of expansive learning. It is concluded that the ultimate test of learning theories is how they help practitioners to generate learning that grasps pressing issues the humankind is facing. The theory of expansive learning currently expands its analyses both up and down, outward and inward. Moving up and outward, it tackles learning in fields or networks of interconnected activity systems with their partially shared and often contested objects. Moving down and inward, it tackles issues of subjectivity, experiencing, personal sense, emotion, embodiment, identity, and moral commitment.

Finding the key to successful L2 learning in groups and individuals

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Wander Lowie

2017-03-01

Full Text Available A large body studies into individual differences in second language learning has shown that success in second language learning is strongly affected by a set of relevant learner characteristics ranging from the age of onset to motivation, aptitude, and personality. Most studies have concentrated on a limited number of learner characteristics and have argued for the relative importance of some of these factors. Clearly, some learners are more successful than others, and it is tempting to try to find the factor or combination of factors that can crack the code to success. However, isolating one or several global individual characteristics can only give a partial explanation of success in second language learning. The limitation of this approach is that it only reflects on rather general personality characteristics of learners at one point in time, while both language development and the factors affecting it are instances of complex dynamic processes that develop over time. Factors that have been labelled as “individual differences” as well as the development of proficiency are characterized by nonlinear relationships in the time domain, due to which the rate of success cannot be simply deduced from a combination of factors. Moreover, in complex dynamic systems theory (CDST literature it has been argued that a generalization about the interaction of variables across individuals is not warranted when we acknowledge that language development is essentially an individual process (Molenaar, 2015. In this paper, the viability of these generalizations is investigated by exploring the L2 development over time for two identical twins in Taiwan who can be expected to be highly similar in all respects, from their environment to their level of English proficiency, to their exposure to English, and to their individual differences. In spite of the striking similarities between these learners, the development of their L2 English over time was very different

Consideration on Singularities in Learning Theory and the Learning Coefficient

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Miki Aoyagi

2013-09-01

Full Text Available We consider the learning coefficients in learning theory and give two new methods for obtaining these coefficients in a homogeneous case: a method for finding a deepest singular point and a method to add variables. In application to Vandermonde matrix-type singularities, we show that these methods are effective. The learning coefficient of the generalization error in Bayesian estimation serves to measure the learning efficiency in singular learning models. Mathematically, the learning coefficient corresponds to a real log canonical threshold of singularities for the Kullback functions (relative entropy in learning theory.

Applying findings from a systematic review of workplace-based e-learning: implications for health information professionals.

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Booth, Andrew; Carroll, Christopher; Papaioannou, Diana; Sutton, Anthea; Wong, Ruth

2009-03-01

To systematically review the UK published literature on e-learning in the health workplace and to apply the findings to one of the most prolific UK e-learning initiatives in the health sector--the National Library for Health Facilitated Online Learning Interactive Opportunity (FOLIO) Programme. Sensitive searches were conducted across ASSIA, Australian Education Index, British Education Index, cinahl, CSA Abstracts, Dissertation Abstracts, Emerald, ERIC, IBSS, Index to Theses, LISA, MEDLINE, PSYCINFO and Social Science Citation Index. Additional citations were identified from reference lists of included studies and of relevant reviews; citation tracking and contact with experts. Twenty-nine studies met the inclusion criteria and were coded and analysed using thematic analysis as described by Miles & Huberman (Qualitative Data Analysis: A Sourcebook of New Methods. Newbury Park, CA: Sage, 1984). Five broad themes were identified from the 29 included studies: (i) peer communication; (ii) flexibility; (iii) support; (iv) knowledge validation; and (v) course presentation and design. These broad themes were supported by a total of eleven sub-themes. Components from the FOLIO Programme were analysed and existing and proposed developments were mapped against each sub-theme. This provides a valuable framework for ongoing course development. Librarians involved in delivering and supporting e-learning can benefit from applying the findings from the systematic review to existing programmes, exemplified by the FOLIO Programme. The resultant framework can also be used in developing new e-learning programmes.

A Preliminary Comparison of Motor Learning Across Different Non-invasive Brain Stimulation Paradigms Shows No Consistent Modulations

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Virginia Lopez-Alonso

2018-04-01

Full Text Available Non-invasive brain stimulation (NIBS has been widely explored as a way to safely modulate brain activity and alter human performance for nearly three decades. Research using NIBS has grown exponentially within the last decade with promising results across a variety of clinical and healthy populations. However, recent work has shown high inter-individual variability and a lack of reproducibility of previous results. Here, we conducted a small preliminary study to explore the effects of three of the most commonly used excitatory NIBS paradigms over the primary motor cortex (M1 on motor learning (Sequential Visuomotor Isometric Pinch Force Tracking Task and secondarily relate changes in motor learning to changes in cortical excitability (MEP amplitude and SICI. We compared anodal transcranial direct current stimulation (tDCS, paired associative stimulation (PAS25, and intermittent theta burst stimulation (iTBS, along with a sham tDCS control condition. Stimulation was applied prior to motor learning. Participants (n = 28 were randomized into one of the four groups and were trained on a skilled motor task. Motor learning was measured immediately after training (online, 1 day after training (consolidation, and 1 week after training (retention. We did not find consistent differential effects on motor learning or cortical excitability across groups. Within the boundaries of our small sample sizes, we then assessed effect sizes across the NIBS groups that could help power future studies. These results, which require replication with larger samples, are consistent with previous reports of small and variable effect sizes of these interventions on motor learning.

A Preliminary Comparison of Motor Learning Across Different Non-invasive Brain Stimulation Paradigms Shows No Consistent Modulations

Science.gov (United States)

Lopez-Alonso, Virginia; Liew, Sook-Lei; Fernández del Olmo, Miguel; Cheeran, Binith; Sandrini, Marco; Abe, Mitsunari; Cohen, Leonardo G.

2018-01-01

Non-invasive brain stimulation (NIBS) has been widely explored as a way to safely modulate brain activity and alter human performance for nearly three decades. Research using NIBS has grown exponentially within the last decade with promising results across a variety of clinical and healthy populations. However, recent work has shown high inter-individual variability and a lack of reproducibility of previous results. Here, we conducted a small preliminary study to explore the effects of three of the most commonly used excitatory NIBS paradigms over the primary motor cortex (M1) on motor learning (Sequential Visuomotor Isometric Pinch Force Tracking Task) and secondarily relate changes in motor learning to changes in cortical excitability (MEP amplitude and SICI). We compared anodal transcranial direct current stimulation (tDCS), paired associative stimulation (PAS25), and intermittent theta burst stimulation (iTBS), along with a sham tDCS control condition. Stimulation was applied prior to motor learning. Participants (n = 28) were randomized into one of the four groups and were trained on a skilled motor task. Motor learning was measured immediately after training (online), 1 day after training (consolidation), and 1 week after training (retention). We did not find consistent differential effects on motor learning or cortical excitability across groups. Within the boundaries of our small sample sizes, we then assessed effect sizes across the NIBS groups that could help power future studies. These results, which require replication with larger samples, are consistent with previous reports of small and variable effect sizes of these interventions on motor learning. PMID:29740271

Individual Differences and Learning Contexts: A Self-Regulated Learning Perspective

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Ben-Eliyahu, Adar

2017-01-01

This article examines how individual differences (giftedness) interact with learning contexts (favorite versus least favorite courses) to influence learning processes and outcomes. The findings show that gifted and typically developing students differ solely in their expectancies for success and grades among a large variety of measures, including…

Expertise finding in bibliographic network: topic dominance learning approach.

Science.gov (United States)

Neshati, Mahmood; Hashemi, Seyyed Hadi; Beigy, Hamid

2014-12-01

Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose two discriminative methods for realizing leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. We recognize three feature groups that can discriminate relevant experts from other authors of a document. Experimental results on a real dataset, and a synthetic one that is gathered from a Microsoft academic search engine, show that the proposed model significantly improves the performance of expert finding in terms of all common information retrieval evaluation metrics.

What Is the Key for Older People to Show Interest in Playing Digital Learning Games? Initial Qualitative Findings from the LEAGE Project on a Multicultural European Sample.

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Diaz-Orueta, Unai; Facal, David; Nap, Henk Herman; Ranga, Myrto-Maria

2012-04-01

Learning digital games can influence both older adults' health condition and their capacity to carry on activities in their actual environment. The goal of the current study was to explore and define the user requirements for developing digital learning games for older Europeans, focusing on types of learning games, motivational and social aspects, and preferences on game controllers. For this initial stage, a qualitative focus group study was performed in three participating countries (Spain, The Netherlands, and Greece) where both games existing in the market and others developed in other European Commission projects like HERMES were presented to them, both on video presentations and also with the possibility to actually test some of them. Challenge, socialization, fun, providing learning opportunities, and escape from daily routine were extracted as the main keys why older people would be interested in playing digital games. Users described themselves as active and participating in many leisure activities, and this level of activity appeared to be related with the contents proposed for digital games, such as physical activity, culture, arts, and other human sciences (history, geography, traveling, foreign languages, music), and daily life skills (cooking, computer use, first aid). The knowledge gathered from the focus groups will be used as input for the design of a learning game that will be largely compatible with the needs and abilities of a wide range of older Europeans.

Finding New Perovskite Halides via Machine learning

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Ghanshyam ePilania

2016-04-01

Full Text Available Advanced materials with improved properties have the potential to fuel future technological advancements. However, identification and discovery of these optimal materials for a specific application is a non-trivial task, because of the vastness of the chemical search space with enormous compositional and configurational degrees of freedom. Materials informatics provides an efficient approach towards rational design of new materials, via learning from known data to make decisions on new and previously unexplored compounds in an accelerated manner. Here, we demonstrate the power and utility of such statistical learning (or machine learning via building a support vector machine (SVM based classifier that uses elemental features (or descriptors to predict the formability of a given ABX3 halide composition (where A and B represent monovalent and divalent cations, respectively, and X is F, Cl, Br or I anion in the perovskite crystal structure. The classification model is built by learning from a dataset of 181 experimentally known ABX3 compounds. After exploring a wide range of features, we identify ionic radii, tolerance factor and octahedral factor to be the most important factors for the classification, suggesting that steric and geometric packing effects govern the stability of these halides. The trained and validated models then predict, with a high degree of confidence, several novel ABX3 compositions with perovskite crystal structure.

Finding New Perovskite Halides via Machine learning

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Pilania, Ghanshyam; Balachandran, Prasanna V.; Kim, Chiho; Lookman, Turab

2016-04-01

Advanced materials with improved properties have the potential to fuel future technological advancements. However, identification and discovery of these optimal materials for a specific application is a non-trivial task, because of the vastness of the chemical search space with enormous compositional and configurational degrees of freedom. Materials informatics provides an efficient approach towards rational design of new materials, via learning from known data to make decisions on new and previously unexplored compounds in an accelerated manner. Here, we demonstrate the power and utility of such statistical learning (or machine learning) via building a support vector machine (SVM) based classifier that uses elemental features (or descriptors) to predict the formability of a given ABX3 halide composition (where A and B represent monovalent and divalent cations, respectively, and X is F, Cl, Br or I anion) in the perovskite crystal structure. The classification model is built by learning from a dataset of 181 experimentally known ABX3 compounds. After exploring a wide range of features, we identify ionic radii, tolerance factor and octahedral factor to be the most important factors for the classification, suggesting that steric and geometric packing effects govern the stability of these halides. The trained and validated models then predict, with a high degree of confidence, several novel ABX3 compositions with perovskite crystal structure.

Using Machine Learning Methods Jointly to Find Better Set of Rules in Data Mining

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SUG Hyontai

2017-01-01

Full Text Available Rough set-based data mining algorithms are one of widely accepted machine learning technologies because of their strong mathematical background and capability of finding optimal rules based on given data sets only without room for prejudiced views to be inserted on the data. But, because the algorithms find rules very precisely, we may confront with the overfitting problem. On the other hand, association rule algorithms find rules of association, where the association resides between sets of items in database. The algorithms find itemsets that occur more than given minimum support, so that they can find the itemsets practically in reasonable time even for very large databases by supplying the minimum support appropriately. In order to overcome the problem of the overfitting problem in rough set-based algorithms, first we find large itemsets, after that we select attributes that cover the large itemsets. By using the selected attributes only, we may find better set of rules based on rough set theory. Results from experiments support our suggested method.

Rethinking expansive learning

DEFF Research Database (Denmark)

Kolbæk, Ditte; Lundh Snis, Ulrika

Abstract: This paper analyses an online community of master’s students taking a course in ICT and organisational learning. The students initiated and facilitated an educational design for organisational learning called Proactive Review in the organisation where they are employed. By using an online...... discussion forum on Google groups, they created new ways of reflecting and learning. We used netnography to select qualitative postings from the online community and expansive learning concepts for data analysis. The findings show how students changed practices of organisational learning...

Perinatal findings of Seckel syndrome: a case report of a fetus showing primordial dwarfism and severe microcephaly.

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Takikawa, Keiko Miyachi; Kikuchi, Akihiko; Yokoyama, Akiko; Ono, Kyoko; Iwasawa, Yuki; Sunagawa, Sorahiro; Takagi, Kimiyo; Kawame, Hiroshi; Nakamura, Tomohiko

2008-01-01

Seckel syndrome is a rare form of primordial dwarfism and most of the previous reports have been limited to postnatal findings. We report on a fetus showing severe microcephaly, intrauterine growth restriction and a few gyri with shallow sulci on the fetal brain suggesting cortical dysplasia, followed by ultrasound and magnetic resonance imaging in the prenatal period. Cardiotocograph revealed a reassuring fetal status throughout the whole pregnancy period. A male infant weighing 1,556 g was delivered at 39 weeks' gestation, and a diagnosis of Seckel syndrome was made based on postnatal typical findings. Although previous reports on prenatal findings of Seckel syndrome are quite limited, we think that our case presents typical features of a fetus affected by this syndrome. When prenatal ultrasound shows severe microcephaly and intrauterine growth restriction, this rare syndrome should be included in the differential diagnosis. Moreover, magnetic resonance imaging of the affected fetal brain provides further diagnostic clues. Copyright 2008 S. Karger AG, Basel.

Find a Podiatrist

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... RSS Home » Learn About Feet » Find a Podiatrist Find a Podiatrist Search Criteria: First Name: Last Name: ... first 3 digits of your zip code to find the closest doctor. Country: Australia Canada Guam Israel ...

Discovery learning with SAVI approach in geometry learning

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Sahara, R.; Mardiyana; Saputro, D. R. S.

2018-05-01

Geometry is one branch of mathematics that an important role in learning mathematics in the schools. This research aims to find out about Discovery Learning with SAVI approach to achievement of learning geometry. This research was conducted at Junior High School in Surakarta city. Research data were obtained through test and questionnaire. Furthermore, the data was analyzed by using two-way Anova. The results showed that Discovery Learning with SAVI approach gives a positive influence on mathematics learning achievement. Discovery Learning with SAVI approach provides better mathematics learning outcomes than direct learning. In addition, students with high self-efficacy categories have better mathematics learning achievement than those with moderate and low self-efficacy categories, while student with moderate self-efficacy categories are better mathematics learning achievers than students with low self-efficacy categories. There is an interaction between Discovery Learning with SAVI approach and self-efficacy toward student's mathematics learning achievement. Therefore, Discovery Learning with SAVI approach can improve mathematics learning achievement.

Anatomy and histology as socially networked learning environments: some preliminary findings.

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Hafferty, Frederic W; Castellani, Brian; Hafferty, Philip K; Pawlina, Wojciech

2013-09-01

An exploratory study to better understand the "networked" life of the medical school as a learning environment. In a recent academic year, the authors gathered data during two six-week blocks of a sequential histology and anatomy course at a U.S. medical college. An eight-item questionnaire captured different dimensions of student interactions. The student cohort/network was 48 first-year medical students. Using social network analysis (SNA), the authors focused on (1) the initial structure and the evolution of informal class networks over time, (2) how informal class networks compare to formal in-class small-group assignments in influencing student information gathering, and (3) how peer assignment of professionalism role model status is shaped more by informal than formal ties. In examining these latter two issues, the authors explored not only how formal group assignment persisted over time but also how it functioned to prevent the tendency for groupings based on gender or ethnicity. The study revealed an evolving dynamic between the formal small-group learning structure of the course blocks and the emergence of informal student networks. For example, whereas formal group membership did influence in-class questions and did prevent formation of groups of like gender and ethnicity, outside-class questions and professionalism were influenced more by informal group ties where gender and, to a much lesser extent, ethnicity influence student information gathering. The richness of these preliminary findings suggests that SNA may be a useful tool in examining an array of medical student learning encounters.

A quantum speedup in machine learning: finding an N-bit Boolean function for a classification

International Nuclear Information System (INIS)

Yoo, Seokwon; Lee, Jinhyoung; Bang, Jeongho; Lee, Changhyoup

2014-01-01

We compare quantum and classical machines designed for learning an N-bit Boolean function in order to address how a quantum system improves the machine learning behavior. The machines of the two types consist of the same number of operations and control parameters, but only the quantum machines utilize the quantum coherence naturally induced by unitary operators. We show that quantum superposition enables quantum learning that is faster than classical learning by expanding the approximate solution regions, i.e., the acceptable regions. This is also demonstrated by means of numerical simulations with a standard feedback model, namely random search, and a practical model, namely differential evolution. (paper)

Learning to Spell Words: Findings, Theories, and Issues

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Treiman, Rebecca

2017-01-01

There has been less research on how children learn to spell than on how they learn to read, but a good deal is now known about spelling development. This article reviews studies of normative development, beginning with children's early scribbles and proceeding to prephonological spelling involving letters, phonologically influenced invented…

Chunking or not chunking? How do we find words in artificial language learning?

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Franco, Ana; Destrebecqz, Arnaud

2012-01-01

What is the nature of the representations acquired in implicit statistical learning? Recent results in the field of language learning have shown that adults and infants are able to find the words of an artificial language when exposed to a continuous auditory sequence consisting in a random ordering of these words. Such performance can only be based on processing the transitional probabilities between sequence elements. Two different kinds of mechanisms may account for these data: Participants may either parse the sequence into smaller chunks corresponding to the words of the artificial language, or they may become progressively sensitive to the actual values of the transitional probabilities between syllables. The two accounts are difficult to differentiate because they make similar predictions in comparable experimental settings. In this study, we present two experiments that aimed at contrasting these two theories. In these experiments, participants had to learn 2 sets of pseudo-linguistic regularities: Language 1 (L1) and Language 2 (L2) presented in the context of a serial reaction time task. L1 and L2 were either unrelated (none of the syllabic transitions of L1 were present in L2), or partly related (some of the intra-words transitions of L1 were used as inter-words transitions of L2). The two accounts make opposite predictions in these two settings. Our results indicate that the nature of the representations depends on the learning condition. When cues were presented to facilitate parsing of the sequence, participants learned the words of the artificial language. However, when no cues were provided, performance was strongly influenced by the employed transitional probabilities.

Evaluating learning and attitudes on tissue engineering: a study of children viewing animated digital dome shows detailing the biomedicine of tissue engineering.

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Wilson, Anna C; Gonzalez, Laura L; Pollock, John A

2012-03-01

Informal science education creates opportunities for the general public to learn about complex health and science topics. Tissue engineering is a fast-growing field of medical science that combines advanced chemistries to create synthetic scaffolds, stem cells, and growth factors that individually or in combination can support the bodies own healing powers to remedy a range of maladies. Health literacy about this topic is increasingly important as our population ages and as treatments become more technologically advanced. We are using a science center planetarium as a projection space to engage and educate the public about the science and biomedical research that supports tissue engineering. The purpose of this study was to test the effectiveness of the films that we have produced for part of the science center planetarium demographic, specifically children ranging in age from 7 to 16 years. A two-group pre- and post-test design was used to compare children's learning and attitude changes in response to the two versions of the film. One version uses traditional voice-over narration; the other version uses dialog between two animated characters. The results of this study indicate that children demonstrated increases in knowledge of the topic with either film format, but preferred the animated character version. The percentage change in children's scores on the knowledge questions given before and after viewing the show exhibited an improvement from 23% correct to 61% correct on average. In addition, many of the things that the children reported liking were part of the design process of the art-science collaboration. Other results indicated that before viewing the shows 77% of the children had not even heard about tissue engineering and only 17% indicated that they were very interested in it, whereas after viewing the shows, 95% indicated that tissue engineering was a good idea. We also find that after viewing the show, 71% of the children reported that the show made

Cognitive Strategy in Learning Chemistry: How Chunking and Learning Get Together

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Lah, Norma Che; Saat, Rohaida Mohd; Hassan, Ruhaya

2014-01-01

The study explores chunking strategies applied in Short Term Memory (STM) by upper secondary students of mixed chemistry learning abilities. The aim of the study is to observe variations in chunking strategies utilized by these students when learning the Periodic Table of Elements in the Form Four Chemistry syllabus. Findings show that students…

Toward A Dual-Learning Systems Model of Speech Category Learning

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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.

The contribution of phonological short-term memory to artificial grammar learning.

Science.gov (United States)

Andrade, Jackie; Baddeley, Alan

2011-05-01

Three experiments investigated the contribution of phonological short-term memory (STM) to grammar learning by manipulating rehearsal during study of an auditory artificial grammar made up from a vocabulary of spoken Mandarin syllables. Experiment 1 showed that concurrent, irrelevant articulation impaired grammar learning compared with a nonverbal control task. Experiment 2 replicated and extended this finding, showing that repeating the grammatical strings at study improved grammar learning compared with suppressing rehearsal or remaining silent during learning. Experiment 3 found no effects of rehearsal on grammar learning once participants had learned the component syllables. The findings suggest that phonological STM aids artificial grammar learning via effects on vocabulary learning.

Suture Granuloma Showing False-Positive Findings on FDG-PET

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Kohei Takahara

2013-01-01

Full Text Available We report a case of a 33-year-old male with a mixed germ-cell testicular tumor. Postoperative follow-up FDG-PET revealed concentration of FDG in the left inguinal area which is not tumor metastasis or local recurrence but suture reactivity granuloma. In this paper, we reviewed suture granulomas associated with false-positive findings on FDG-PET after surgery. If FDG-PET will be used more frequently in the future, it will be necessary to refrain from using silk thread in order to prevent any unnecessary surgery.

Higher frequency of social learning in China than in the West shows cultural variation in the dynamics of cultural evolution.

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Mesoudi, Alex; Chang, Lei; Murray, Keelin; Lu, Hui Jing

2015-01-07

Cultural evolutionary models have identified a range of conditions under which social learning (copying others) is predicted to be adaptive relative to asocial learning (learning on one's own), particularly in humans where socially learned information can accumulate over successive generations. However, cultural evolution and behavioural economics experiments have consistently shown apparently maladaptive under-utilization of social information in Western populations. Here we provide experimental evidence of cultural variation in people's use of social learning, potentially explaining this mismatch. People in mainland China showed significantly more social learning than British people in an artefact-design task designed to assess the adaptiveness of social information use. People in Hong Kong, and Chinese immigrants in the UK, resembled British people in their social information use, suggesting a recent shift in these groups from social to asocial learning due to exposure to Western culture. Finally, Chinese mainland participants responded less than other participants to increased environmental change within the task. Our results suggest that learning strategies in humans are culturally variable and not genetically fixed, necessitating the study of the 'social learning of social learning strategies' whereby the dynamics of cultural evolution are responsive to social processes, such as migration, education and globalization.

Cooperation Not Competition: Bihemispheric tDCS and fMRI Show Role for Ipsilateral Hemisphere in Motor Learning.

Science.gov (United States)

Waters, Sheena; Wiestler, Tobias; Diedrichsen, Jörn

2017-08-02

facilitated motor learning nearly twice as strongly as unihemispheric tDCS. These increases in motor learning were accompanied by increases in fMRI activation in both motor cortices that outlasted the stimulation period, as well as increased generalization to the untrained hand. Collectively, our findings suggest a cooperative rather than a competitive role of the hemispheres and imply that it is most beneficial to harness plasticity in both hemispheres in neurorehabilitation of motor deficits. Copyright © 2017 Waters et al.

Find a Dermatologist

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... Practice Tools Education Meetings & Events Advocacy Public & Patients Find a Dermatologist Why see a dermatologist? Learn more . ... Last Name Search Special Proprietary Notice and Disclaimer "Find a Dermatologist" is produced by the American Academy ...

The Effect of Learning Based on Technology Model and Assessment Technique toward Thermodynamic Learning Achievement

Science.gov (United States)

Makahinda, T.

2018-02-01

The purpose of this research is to find out the effect of learning model based on technology and assessment technique toward thermodynamic achievement by controlling students intelligence. This research is an experimental research. The sample is taken through cluster random sampling with the total respondent of 80 students. The result of the research shows that the result of learning of thermodynamics of students who taught the learning model of environmental utilization is higher than the learning result of student thermodynamics taught by simulation animation, after controlling student intelligence. There is influence of student interaction, and the subject between models of technology-based learning with assessment technique to student learning result of Thermodynamics, after controlling student intelligence. Based on the finding in the lecture then should be used a thermodynamic model of the learning environment with the use of project assessment technique.

A child case of meningitis tuberculosa showing interesting CT findings

International Nuclear Information System (INIS)

Lee, Sonsu; Inada, Hiroshi; Matsumura, Masahiro; Matsuoka, Osamu; Murata, Ryosuke; Sano, Yoshiko.

1985-01-01

A 6-year-old boy is presented in whom plain CT failed to reveal specific findings suggesting inflammation, but enhanced CT revealed noticeably abnormal enhancement along the right middle cerebral artery and linear enhancement at the periphery of the artery. The cause of specific enhancement and its clinical value are discussed. (Namekawa, K.)

Barriers to Change: Findings from Three Literacy Professional Learning Initiatives

Science.gov (United States)

Parsons, Allison Ward; Parsons, Seth A.; Morewood, Aimee; Ankrum, Julie W.

2016-01-01

In this article, we describe lessons learned from three separate literacy professional learning initiatives that took place in elementary schools in three different locations: high-poverty urban, medium-poverty rural, and low-poverty suburban. The professional learning initiatives were also diverse in scope: one was a three-year, school-wide…

The relationship between strategy making and organizational learning

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Ângela França Versiani

2018-06-01

Full Text Available Purpose – This paper discusses the role of strategy making in organizational learning. By linking organizational learning and strategyas-practice literatures, the objective of this research was to analyze how intertwined the cognitive process and strategic activities are in organizational learning. Design/methodology/approach – The metodology used is a longitudinal qualitative single case study of one of the largest Brazilian companies in the power industry. The unit of analysis is the firm’s growth strategy through mergers and acquisitions from 2003 to 2012. Findings – The findings show that organizational learning involved four sequenced causal flows in which specific types of strategic activities contributed directly or indirectly to learning loops. Originality/value – Our main contribution is to show that the implementation of strategic activities is the key to strategic renewal.

Learning approaches of Indonesian EFL Gen Z students in a Flipped Learning context

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Made Hery Santosa

2017-09-01

Full Text Available The 21st-century learning has eventually transformed today’s classroom. With more digital natives in the class, both educators and students face a changing classroom that should accommodate different learning paces, styles and needs. This study aimed at helping students in becoming English as Foreign Language (EFL competent in-service teachers. Using Flipped Learning, the study utilizes four FLIP pillars into EFL learning, namely Flexible environment, Learning culture, Intentional content, Professional educators. The study employed three instruments, namely survey, tests, and interview. The result of tests showed a promising students’ progress from low to high achievement. The survey showed that students tended to perform deep approaches to learning while findings from the interview provided more interesting phenomena underlying students’ motives in their learning approaches, involving dynamic power distance relationship between lecturer and students. Heavier task loads and learning model familiarity have been highlighted. Effective socialization of the model using technology and sustainability of use of the model are suggested.

ANALYSIS OF STUDENTS’ LEARNING OBSTACLES ON LEARNING INVERS FUNCTION MATERIAL

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Krisna Satrio Perbowo

2017-09-01

Full Text Available This research is based on the presence of obstacle in learning mathematics on inverse function. This research aims to analyze the learning obstacle, to know the types of error that is suffered by the students in learning inverse function. Kind of this kualitative research descriptive with data triangulation. The research subjects are high school students which is contained of 74 students and was taken 6 students to be main sample. The data of students’ error is obtained from the writen test result, the students’ false answers are identified into the type of error. Then it was chosen several students to be interviewed. Which the analysis result finding data in this research showed there are 4 types of errors, which are concept error, procedure error, counting error and concluding error. An obstacle which appear in learning inverse function is influenced by two factors, i.e internal factor and eksternal factor. Internal factor is showed by the students’ motivation in following learning and students’ skill in receiving learning material. While the eksternal factor is showed by the curriculum which applied in school with acceleration class caused many narrow learning time, teaching materials that is less complete with the discussion of question sample.

Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory.

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McClelland, James L

2013-11-01

The complementary learning systems theory of the roles of hippocampus and neocortex (McClelland, McNaughton, & O'Reilly, 1995) holds that the rapid integration of arbitrary new information into neocortical structures is avoided to prevent catastrophic interference with structured knowledge representations stored in synaptic connections among neocortical neurons. Recent studies (Tse et al., 2007, 2011) showed that neocortical circuits can rapidly acquire new associations that are consistent with prior knowledge. The findings challenge the complementary learning systems theory as previously presented. However, new simulations extending those reported in McClelland et al. (1995) show that new information that is consistent with knowledge previously acquired by a putatively cortexlike artificial neural network can be learned rapidly and without interfering with existing knowledge; it is when inconsistent new knowledge is acquired quickly that catastrophic interference ensues. Several important features of the findings of Tse et al. (2007, 2011) are captured in these simulations, indicating that the neural network model used in McClelland et al. has characteristics in common with neocortical learning mechanisms. An additional simulation generalizes beyond the network model previously used, showing how the rate of change of cortical connections can depend on prior knowledge in an arguably more biologically plausible network architecture. In sum, the findings of Tse et al. are fully consistent with the idea that hippocampus and neocortex are complementary learning systems. Taken together, these findings and the simulations reported here advance our knowledge by bringing out the role of consistency of new experience with existing knowledge and demonstrating that the rate of change of connections in real and artificial neural networks can be strongly prior-knowledge dependent. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Academics and Learners’ Perceptions on Blended Learning as a Strategic Initiative to Improve Student Learning Experience

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Ying Adeline Ng Ling

2017-01-01

Full Text Available The increasingly tighter shift of socio-economic constraints on higher education sectors in the recent years has called for greater flexibilities in student learning experience both locally and abroad. To this end, we have recently implemented a Blended Learning Initiative in an attempt to provide better learning support and greater flexibility to our students. This initiative is also in line with the University’s aim of having 50% of our learning and teaching delivered on-line by 2020. In this report, we present our findings on academics and learners’ perceptions on the approach which were obtained through surveys. Results showed that blended learning approach was new to the academics and the factors for successful blended learning implementation were identified. Results also showed that learners appreciated the approach as it made learning more accessible and flexible. Furthermore, they also enjoyed the interesting online activities incorporated into their units. In addition, learners were also able to review and pace their own learning. They also perceived that they have the access to the resources and technical ability to cope with online learning materials and activities. Nonetheless, the survey also revealed that learners still prefer to have academics delivering information to them directly rather than a flipped classroom model. In conclusion, findings from this study provide insights that blended learning could be effective to supplement courses offered by the faculty.

PEARLs, Problems and Politics: Exploring Findings from Two Teaching and Learning Projects in Indigenous Australian Studies at the University of Queensland

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Mackinlay, Elizabeth; Barney, Katelyn

2014-01-01

This article explores the implementation of PEARL (Political, Embodied, Active, and Reflective Learning) in two courses at The University of Queensland: a first-year introductory Indigenous Studies course and a second year Indigenous Education course. We draw on findings from a 2-year (2010-2011) Office for Learning and Teaching (then ALTC) funded…

Problem Based Learning

DEFF Research Database (Denmark)

de Graaff, Erik; Guerra, Aida

, the key principles remain the same everywhere. Graaff & Kolmos (2003) identify the main PBL principles as follows: 1. Problem orientation 2. Project organization through teams or group work 3. Participant-directed 4. Experiental learning 5. Activity-based learning 6. Interdisciplinary learning and 7...... model and in general problem based and project based learning. We apply the principle of teach as you preach. The poster aims to outline the visitors’ workshop programme showing the results of some recent evaluations.......Problem-Based Learning (PBL) is an innovative method to organize the learning process in such a way that the students actively engage in finding answers by themselves. During the past 40 years PBL has evolved and diversified resulting in a multitude in variations in models and practices. However...

Finding the Intersection of the Learning Organization and Learning Transfer: The Significance of Leadership

Science.gov (United States)

Kim, Jun Hee; Callahan, Jamie L.

2013-01-01

Purpose: This article aims to develop a conceptual framework delineating the key dimension of the learning organization which significantly influences learning transfer. Design/methodology/approach: The conceptual framework was developed by analyzing previous studies and synthesizing the results associated with the following four relationships:…

What students really learn: contrasting medical and nursing students' experiences of the clinical learning environment.

Science.gov (United States)

Liljedahl, Matilda; Boman, Lena Engqvist; Fält, Charlotte Porthén; Bolander Laksov, Klara

2015-08-01

This paper explores and contrasts undergraduate medical and nursing students' experiences of the clinical learning environment. Using a sociocultural perspective of learning and an interpretative approach, 15 in-depth interviews with medical and nursing students were analysed with content analysis. Students' experiences are described using a framework of 'before', 'during' and 'after' clinical placements. Three major themes emerged from the analysis, contrasting the medical and nursing students' experiences of the clinical learning environment: (1) expectations of the placement; (2) relationship with the supervisor; and (3) focus of learning. The findings offer an increased understanding of how medical and nursing students learn in the clinical setting; they also show that the clinical learning environment contributes to the socialisation process of students not only into their future profession, but also into their role as learners. Differences between the two professions should be taken into consideration when designing interprofessional learning activities. Also, the findings can be used as a tool for clinical supervisors in the reflection on how student learning in the clinical learning environment can be improved.

Active-learning strategies: the use of a game to reinforce learning in nursing education. A case study.

Science.gov (United States)

Boctor, Lisa

2013-03-01

The majority of nursing students are kinesthetic learners, preferring a hands-on, active approach to education. Research shows that active-learning strategies can increase student learning and satisfaction. This study looks at the use of one active-learning strategy, a Jeopardy-style game, 'Nursopardy', to reinforce Fundamentals of Nursing material, aiding in students' preparation for a standardized final exam. The game was created keeping students varied learning styles and the NCLEX blueprint in mind. The blueprint was used to create 5 categories, with 26 total questions. Student survey results, using a five-point Likert scale showed that they did find this learning method enjoyable and beneficial to learning. More research is recommended regarding learning outcomes, when using active-learning strategies, such as games. Copyright © 2012 Elsevier Ltd. All rights reserved.

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Science.gov (United States)

Tan, W Katherine; Hassanpour, Saeed; Heagerty, Patrick J; Rundell, Sean D; Suri, Pradeep; Huhdanpaa, Hannu T; James, Kathryn; Carrell, David S; Langlotz, Curtis P; Organ, Nancy L; Meier, Eric N; Sherman, Karen J; Kallmes, David F; Luetmer, Patrick H; Griffith, Brent; Nerenz, David R; Jarvik, Jeffrey G

2018-03-28

To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four health systems. We used a limited data set (de-identified except for dates) sampled from lumbar spine imaging reports of a prospectively assembled cohort of adults. From N = 178,333 reports, we randomly selected N = 871 to form a reference-standard dataset, consisting of N = 413 x-ray reports and N = 458 MR reports. Using standardized criteria, four spine experts annotated the presence of 26 findings, where 71 reports were annotated by all four experts and 800 were each annotated by two experts. We calculated inter-rater agreement and finding prevalence from annotated data. We randomly split the annotated data into development (80%) and testing (20%) sets. We developed an NLP system from both rule-based and machine-learned models. We validated the system using accuracy metrics such as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). The multirater annotated dataset achieved inter-rater agreement of Cohen's kappa > 0.60 (substantial agreement) for 25 of 26 findings, with finding prevalence ranging from 3% to 89%. In the testing sample, rule-based and machine-learned predictions both had comparable average specificity (0.97 and 0.95, respectively). The machine-learned approach had a higher average sensitivity (0.94, compared to 0.83 for rules-based), and a higher overall AUC (0.98, compared to 0.90 for rules-based). Our NLP system performed well in identifying the 26 lumbar spine findings, as benchmarked by reference-standard annotation by medical experts. Machine-learned models provided substantial gains in model sensitivity with slight loss of specificity, and overall higher AUC. Copyright © 2018 The Association of University Radiologists. All rights reserved.

Are Learning Styles Relevant to Virtual Reality?

Science.gov (United States)

Chen, Chwen Jen; Toh, Seong Chong; Ismail, Wan Mohd Fauzy Wan

2005-01-01

This study aims to investigate the effects of a virtual reality (VR)-based learning environment on learners with different learning styles. The findings of the aptitude-by-treatment interaction study have shown that learners benefit most from the VR (guided exploration) mode, irrespective of their learning styles. This shows that the VR-based…

Learning modulation of odor representations: new findings from Arc-indexed networks

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Qi eYuan

2014-12-01

Full Text Available We first review our understanding of odor representations in rodent olfactory bulb and anterior piriform cortex. We then consider learning-induced representation changes. Finally we describe the perspective on network representations gained from examining Arc-indexed odor networks of awake rats. Arc-indexed networks are sparse and distributed, consistent with current views. However Arc provides representations of repeated odors. Arc-indexed repeated odor representations are quite variable. Sparse representations are assumed to be compact and reliable memory codes. Arc suggests this is not necessarily the case. The variability seen is consistent with electrophysiology in awake animals and may reflect top down-cortical modulation of context. Arc-indexing shows that distinct odors share larger than predicted neuron pools. These may be low-threshold neuronal subsets.Learning’s effect on Arc-indexed representations is to increase the stable or overlapping component of rewarded odor representations. This component can decrease for similar odors when their discrimination is rewarded. The learning effects seen are supported by electrophysiology, but mechanisms remain to be elucidated.

Discovering Learning Strategy to Increase Metacognitive Knowledge in Biology Learning in Secondary School

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Y. Herlanti

2017-04-01

Full Text Available The study is aimed at finding an effective learning strategy that can increase metacognitive knowledge. Metacognitive knowledge is a standard that based on 2016-revised edition of 2013 curriculum needs to be achieved by every graduate in all level of education in Indonesia. The study is conducted in three different schools and engages 207 students, which then divided into six groups. The groups are students who study under mind mapping strategy, concept mapping, reciprocal teaching using summary notes, reciprocal teaching using mind mapping, problem-based learning, and investigation group. The results showed that those studying under problem-based learning strategy spent a significantly higher numbers in metacognitive knowledge in biology learning and followed by students who study under reciprocal teaching using mind mapping. According to the finding, it is expected that teachers of Biology will practice problem-based learning strategy in their classroom in order to increase the Metacognitive knowledge.

Learning in clinical practice: findings from CT, MRI and PACS

OpenAIRE

Sinozic, Tanja

2014-01-01

This thesis explores learning in clinical practice in the cases of CT, MRI and PACS in\\ud UK hospitals. It asks the questions of how and why certain evolutionary features of\\ud technology condition learning and change in medical contexts.\\ud Using an evolutionary perspective of cognitive and social aspects of technological\\ud change, this thesis explores the relationships between technology and organisational\\ud learning processes of intuition, interpretation, integration and institutionalisa...

Procedural learning in Tourette syndrome, ADHD, and comorbid Tourette-ADHD: Evidence from a probabilistic sequence learning task.

Science.gov (United States)

Takács, Ádám; Shilon, Yuval; Janacsek, Karolina; Kóbor, Andrea; Tremblay, Antoine; Németh, Dezső; Ullman, Michael T

2017-10-01

Procedural memory, which is rooted in the basal ganglia, plays an important role in the implicit learning of motor and cognitive skills. Few studies have examined procedural learning in either Tourette syndrome (TS) or Attention Deficit Hyperactivity Disorder (ADHD), despite basal ganglia abnormalities in both of these neurodevelopmental disorders. We aimed to assess procedural learning in children with TS (n=13), ADHD (n=22), and comorbid TS-ADHD (n=20), as well as in typically developing children (n=21). Procedural learning was measured with a well-studied implicit probabilistic sequence learning task, the alternating serial reaction time task. All four groups showed evidence of sequence learning, and moreover did not differ from each other in sequence learning. This result, from the first study to examine procedural memory across TS, ADHD and comorbid TS-ADHD, is consistent with previous findings of intact procedural learning of sequences in both TS and ADHD. In contrast, some studies have found impaired procedural learning of non-sequential probabilistic categories in TS. This suggests that sequence learning may be spared in TS and ADHD, while at least some other forms of learning in procedural memory are impaired, at least in TS. Our findings indicate that disorders associated with basal ganglia abnormalities do not necessarily show procedural learning deficits, and provide a possible path for more effective diagnostic tools, and educational and training programs. Copyright © 2017 Elsevier Inc. All rights reserved.

Grasping the Dynamic Complexity of Team Learning: An Integrative Model for Effective Team Learning in Organisations

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Decuyper, Stefan; Dochy, Filip; Van den Bossche, Piet

2010-01-01

In this article we present an integrative model of team learning. Literature shows that effective team learning requires the establishment of a dialogical space amongst team members, in which communicative behaviours such as "sharing", "co-construction" and "constructive conflict" are balanced. However, finding this balance is not enough.…

Elements Explaining Learning Clinical Reasoning Using Simulation Games

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Jaana-Maija Koivisto

2016-12-01

Full Text Available This article presents the findings on which elements in a game-based simulation affect learning clinical reasoning in nursing education. By using engaging gaming elements in virtual simulations and integrating the clinical reasoning process into game mechanics, games can enhance learning clinical reasoning and offer meaningful learning experiences. The study was designed to explore how nursing students experience gaming and learning when playing a simulation game, as well as which gaming elements explain learning clinical reasoning. The data was collected by questionnaire from nursing students (N = 166 in autumn 2014 over thirteen gaming sessions. The findings showed that usability, application of nursing knowledge, and exploration have the most impact on learning clinical reasoning when playing simulation games. Findings also revealed that authentic patient-related experiences, feedback, and reflection have an indirect effect on learning clinical reasoning. Based on these results, more efficient simulation games to improve clinical reasoning may be developed.   

Validating YouTube Factors Affecting Learning Performance

Science.gov (United States)

Pratama, Yoga; Hartanto, Rudy; Suning Kusumawardani, Sri

2018-03-01

YouTube is often used as a companion medium or a learning supplement. One of the educational places that often uses is Jogja Audio School (JAS) which focuses on music production education. Music production is a difficult material to learn, especially at the audio mastering. With tutorial contents from YouTube, students find it easier to learn and understand audio mastering and improved their learning performance. This study aims to validate the role of YouTube as a medium of learning in improving student’s learning performance by looking at the factors that affect student learning performance. The sample involves 100 respondents from JAS at audio mastering level. The results showed that student learning performance increases seen from factors that have a significant influence of motivation, instructional content, and YouTube usefulness. Overall findings suggest that YouTube has a important role to student learning performance in music production education and as an innovative and efficient learning medium.

#13ReasonsWhy Health Professionals and Educators are Tweeting: A Systematic Analysis of Uses and Perceptions of Show Content and Learning Outcomes.

Science.gov (United States)

Walker, Kimberly K; Burns, Kelli

2018-04-27

This study is a content analysis of health professionals' and educators' tweets about a popular Netflix show that depicts teen suicide: 13 Reasons Why. A content analysis of 740 tweets was conducted to determine the main themes associated with professionals' and educators' tweets about the show, as well as the valence of the tweets. Additionally, a thematic analysis of linked content in tweets (n = 178) was conducted to explore additional content shared about the show and modeling outcomes. Results indicated the largest percentage of tweets was related to social learning, particularly about outcomes that could occur from viewing the show. The valence of the tweets about outcomes was more positive than negative. However, linked materials commonly circulated in tweets signified greater concern with unintended learning outcomes. Some of the linked content included media guidelines for reporting on suicide with recommendations that entertainment producers follow the guidelines. This study emphasizes the importance of including social learning objectives in future typologies of Twitter uses and demonstrates the importance of examining linked content in Twitter studies.

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Science.gov (United States)

Prevedello, Luciano M; Erdal, Barbaros S; Ryu, John L; Little, Kevin J; Demirer, Mutlu; Qian, Songyue; White, Richard D

2017-12-01

Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images. Examinations were processed by using a convolutional neural network (deep learning) using two different window and level configurations (brain window and stroke window). AI algorithm performance was tested on a separate dataset containing 50 examinations with HMH findings, 15 with SAI findings, and 35 with noncritical findings. Results Final algorithm performance for HMH showed 90% (45 of 50) sensitivity (95% confidence interval [CI]: 78%, 97%) and 85% (68 of 80) specificity (95% CI: 76%, 92%), with area under the receiver operating characteristic curve (AUC) of 0.91 with the brain window. For SAI, the best performance was achieved with the stroke window showing 62% (13 of 21) sensitivity (95% CI: 38%, 82%) and 96% (27 of 28) specificity (95% CI: 82%, 100%), with AUC of 0.81. Conclusion AI using deep learning demonstrates promise for detecting critical findings at noncontrast-enhanced head CT. A dedicated algorithm was required to detect SAI. Detection of SAI showed lower sensitivity in comparison to detection of HMH, but showed reasonable performance. Findings support further investigation of the algorithm in a controlled and prospective clinical setting to determine whether it can independently screen noncontrast-enhanced head CT examinations and notify the interpreting radiologist of critical findings. �

Literature Shows Recurring Efforts at Finding a Method of Teaching Ethics.

Science.gov (United States)

Knudtson, Judy

1994-01-01

Reviews classroom journalism texts and articles published in "Quill and Scroll" and this journal since the early 1970s. Notes that the topic of ethics has been addressed recurrently. Finds a wealth of commitment to and concern for ethical issues for high school journalists. (RS)

What Can Be Learned From a Laboratory Model of Conceptual Change? Descriptive Findings and Methodological Issues

Science.gov (United States)

Ohlsson, Stellan; Cosejo, David G.

2014-07-01

The problem of how people process novel and unexpected information— deep learning (Ohlsson in Deep learning: how the mind overrides experience. Cambridge University Press, New York, 2011)—is central to several fields of research, including creativity, belief revision, and conceptual change. Researchers have not converged on a single theory for conceptual change, nor has any one theory been decisively falsified. One contributing reason is the difficulty of collecting informative data in this field. We propose that the commonly used methodologies of historical analysis, classroom interventions, and developmental studies, although indispensible, can be supplemented with studies of laboratory models of conceptual change. We introduce re- categorization, an experimental paradigm in which learners transition from one definition of a categorical concept to another, incompatible definition of the same concept, a simple form of conceptual change. We describe a re-categorization experiment, report some descriptive findings pertaining to the effects of category complexity, the temporal unfolding of learning, and the nature of the learner's final knowledge state. We end with a brief discussion of ways in which the re-categorization model can be improved.

The use of deep and surface learning strategies among students learning English as a foreign language in an Internet environment.

Science.gov (United States)

Aharony, Noa

2006-12-01

The learning context is learning English in an Internet environment. The examination of this learning process was based on the Biggs and Moore's teaching-learning model (Biggs & Moore, 1993). The research aims to explore the use of the deep and surface strategies in an Internet environment among EFL students who come from different socio-economic backgrounds. The results of the research may add an additional level to the understanding of students' functioning in the Internet environment. One hundred fourty-eight Israeli junior and high school students participated in this research. The methodology was based on special computer software: Screen Cam, which recorded the students' learning process. In addition, expert judges completed a questionnaire which examined and categorized the students' learning strategies. The research findings show a clear preference of participants from all socio-economic backgrounds towards the surface learning strategy. The findings also showed that students from the medium to high socio-economic background used both learning strategies more frequently than low socio-economic students. The results reflect the habits that students acquire during their adjustment process throughout their education careers. A brief encounter with the Internet learning environment apparently cannot change norms or habits, which were acquired in the non-Internet learning environment.

The lost art of finding our way

CERN Document Server

Huth, Edward John

2013-01-01

Long before GPS, Google Earth, and global transit, humans traveled vast distances using only environmental clues and simple instruments. John Huth asks what is lost when modern technology substitutes for our innate capacity to find our way. Encyclopedic in breadth, weaving together astronomy, meteorology, oceanography, and ethnography, The Lost Art of Finding Our Way puts us in the shoes, ships, and sleds of early navigators for whom paying close attention to the environment around them was, quite literally, a matter of life and death. Haunted by the fate of two young kayakers lost in a fogbank off Nantucket, Huth shows us how to navigate using natural phenomena—the way the Vikings used the sunstone to detect polarization of sunlight, and Arab traders learned to sail into the wind, and Pacific Islanders used underwater lightning and “read” waves to guide their explorations. Huth reminds us that we are all navigators capable of learning techniques ranging from the simplest to the most sophisticated skil...

The Blended Learning Shift: New Report Shows Blended Learning Growing in U.S. Private Schools

Science.gov (United States)

Warren, Travis

2015-01-01

The technology conversation in independent schools has evolved considerably over the last five years. In particular, it has moved beyond the question of how can schools augment traditional classroom practices with hardware (laptops, interactive whiteboards, etc.) to the question of how software can improve outcomes and enable new learning models,…

The Videoconferencing Learning Environment: Technology, Interaction and Learning Intersect

Science.gov (United States)

Saw, K. G.; Majid, Omar; Ghani, N. Abdul; Atan, H.; Idrus, R. M.; Rahman, Z. A.; Tan, K. E.

2008-01-01

This paper is a study on the interaction patterns of distance learners enrolled in the Mathematics and Physics programmes of Universiti Sains Malaysia in the videoconferencing learning environment (VCLE). Interaction patterns are analysed in six randomly chosen videoconferencing sessions within one academic year. The findings show there are more…

Infant Statistical Learning

Science.gov (United States)

Saffran, Jenny R.; Kirkham, Natasha Z.

2017-01-01

Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure. These abilities allow the infant to compute across elements in their environmental input, extracting patterns for further processing and subsequent learning. In this selective review, we summarize findings that show that statistical learning is both a broad and flexible mechanism (supporting learning from different modalities across many different content areas) and input specific (shifting computations depending on the type of input and goal of learning). We suggest that statistical learning not only provides a framework for studying language development and object knowledge in constrained laboratory settings, but also allows researchers to tackle real-world problems, such as multilingualism, the role of ever-changing learning environments, and differential developmental trajectories. PMID:28793812

Skill learning and the evolution of social learning mechanisms.

Science.gov (United States)

van der Post, Daniel J; Franz, Mathias; Laland, Kevin N

2016-08-24

Social learning is potentially advantageous, but evolutionary theory predicts that (i) its benefits may be self-limiting because social learning can lead to information parasitism, and (ii) these limitations can be mitigated via forms of selective copying. However, these findings arise from a functional approach in which learning mechanisms are not specified, and which assumes that social learning avoids the costs of asocial learning but does not produce information about the environment. Whether these findings generalize to all kinds of social learning remains to be established. Using a detailed multi-scale evolutionary model, we investigate the payoffs and information production processes of specific social learning mechanisms (including local enhancement, stimulus enhancement and observational learning) and their evolutionary consequences in the context of skill learning in foraging groups. We find that local enhancement does not benefit foraging success, but could evolve as a side-effect of grouping. In contrast, stimulus enhancement and observational learning can be beneficial across a wide range of environmental conditions because they generate opportunities for new learning outcomes. In contrast to much existing theory, we find that the functional outcomes of social learning are mechanism specific. Social learning nearly always produces information about the environment, and does not always avoid the costs of asocial learning or support information parasitism. Our study supports work emphasizing the value of incorporating mechanistic detail in functional analyses.

Nicotine facilitates memory consolidation in perceptual learning.

Science.gov (United States)

Beer, Anton L; Vartak, Devavrat; Greenlee, Mark W

2013-01-01

Perceptual learning is a special type of non-declarative learning that involves experience-dependent plasticity in sensory cortices. The cholinergic system is known to modulate declarative learning. In particular, reduced levels or efficacy of the neurotransmitter acetylcholine were found to facilitate declarative memory consolidation. However, little is known about the role of the cholinergic system in memory consolidation of non-declarative learning. Here we compared two groups of non-smoking men who learned a visual texture discrimination task (TDT). One group received chewing tobacco containing nicotine for 1 h directly following the TDT training. The other group received a similar tasting control substance without nicotine. Electroencephalographic recordings during substance consumption showed reduced alpha activity and P300 latencies in the nicotine group compared to the control group. When re-tested on the TDT the following day, both groups responded more accurately and more rapidly than during training. These improvements were specific to the retinal location and orientation of the texture elements of the TDT suggesting that learning involved early visual cortex. A group comparison showed that learning effects were more pronounced in the nicotine group than in the control group. These findings suggest that oral consumption of nicotine enhances the efficacy of nicotinic acetylcholine receptors. Our findings further suggest that enhanced efficacy of the cholinergic system facilitates memory consolidation in perceptual learning (and possibly other types of non-declarative learning). In that regard acetylcholine seems to affect consolidation processes in perceptual learning in a different manner than in declarative learning. Alternatively, our findings might reflect dose-dependent cholinergic modulation of memory consolidation. This article is part of a Special Issue entitled 'Cognitive Enhancers'. Copyright © 2012 Elsevier Ltd. All rights reserved.

An algorithm for finding biologically significant features in microarray data based on a priori manifold learning.

Directory of Open Access Journals (Sweden)

Zena M Hira

Full Text Available Microarray databases are a large source of genetic data, which, upon proper analysis, could enhance our understanding of biology and medicine. Many microarray experiments have been designed to investigate the genetic mechanisms of cancer, and analytical approaches have been applied in order to classify different types of cancer or distinguish between cancerous and non-cancerous tissue. However, microarrays are high-dimensional datasets with high levels of noise and this causes problems when using machine learning methods. A popular approach to this problem is to search for a set of features that will simplify the structure and to some degree remove the noise from the data. The most widely used approach to feature extraction is principal component analysis (PCA which assumes a multivariate Gaussian model of the data. More recently, non-linear methods have been investigated. Among these, manifold learning algorithms, for example Isomap, aim to project the data from a higher dimensional space onto a lower dimension one. We have proposed a priori manifold learning for finding a manifold in which a representative set of microarray data is fused with relevant data taken from the KEGG pathway database. Once the manifold has been constructed the raw microarray data is projected onto it and clustering and classification can take place. In contrast to earlier fusion based methods, the prior knowledge from the KEGG databases is not used in, and does not bias the classification process--it merely acts as an aid to find the best space in which to search the data. In our experiments we have found that using our new manifold method gives better classification results than using either PCA or conventional Isomap.

How Should Students Learn in the School Science Laboratory? The Benefits of Cooperative Learning

Science.gov (United States)

Raviv, Ayala; Cohen, Sarit; Aflalo, Ester

2017-07-01

Despite the inherent potential of cooperative learning, there has been very little research into its effectiveness in middle school laboratory classes. This study focuses on an empirical comparison between cooperative learning and individual learning in the school science laboratory, evaluating the quality of learning and the students' attitudes. The research included 67 seventh-grade students who undertook four laboratory experiments on the subject of "volume measuring skills." Each student engaged both in individual and cooperative learning in the laboratory, and the students wrote individual or group reports, accordingly. A total of 133 experiment reports were evaluated, 108 of which also underwent textual analysis. The findings show that the group reports were superior, both in terms of understanding the concept of "volume" and in terms of acquiring skills for measuring volume. The students' attitudes results were statistically significant and demonstrated that they preferred cooperative learning in the laboratory. These findings demonstrate that science teachers should be encouraged to implement cooperative learning in the laboratory. This will enable them to improve the quality and efficiency of laboratory learning while using a smaller number of experimental kits. Saving these expenditures, together with the possibility to teach a larger number of students simultaneously in the laboratory, will enable greater exposure to learning in the school science laboratory.

Assessing students' readiness towards e-learning

Science.gov (United States)

Rahim, Nasrudin Md; Yusoff, Siti Hawa Mohd; Latif, Shahida Abd

2014-07-01

The usage of e-Learning methodology has become a new attraction for potential students as shown by some higher learning institutions in Malaysia. As such, Universiti Selangor (Unisel) should be ready to embark on e-Learning teaching and learning in the near future. The purpose of the study is to gauge the readiness of Unisel's students in e-Learning environment. A sample of 110 students was chosen to participate in this study which was conducted in January 2013. This sample consisted of students from various levels of study that are foundation, diploma and degree program. Using a structured questionnaire, respondents were assessed on their basic Internet skills, access to technology required for e-Learning and their attitude towards characteristics of successful e-Learning student based on study habits, abilities, motivation and time management behaviour. The result showed that respondents did have access to technology that are required for e-Learning environment, and respondents were knowledgeable regarding the basic Internet skills. The finding also showed that respondents' attitude did meet all characteristics of successful e-Learning student. Further analysis showed that there is no significant relationshipeither among gender, level of study or faculty with those characteristics. As a conclusion, the study shows that current Unisel's students are ready to participate in e-Learning environment if the institution decided to embark on e-Learning methodology.

Finding protein sites using machine learning methods

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Jaime Leonardo Bobadilla Molina

2003-07-01

Full Text Available The increasing amount of protein three-dimensional (3D structures determined by x-ray and NMR technologies as well as structures predicted by computational methods results in the need for automated methods to provide inital annotations. We have developed a new method for recognizing sites in three-dimensional protein structures. Our method is based on a previosly reported algorithm for creating descriptions of protein microenviroments using physical and chemical properties at multiple levels of detail. The recognition method takes three inputs: 1. A set of control nonsites that share some structural or functional role. 2. A set of control nonsites that lack this role. 3. A single query site. A support vector machine classifier is built using feature vectors where each component represents a property in a given volume. Validation against an independent test set shows that this recognition approach has high sensitivity and specificity. We also describe the results of scanning four calcium binding proteins (with the calcium removed using a three dimensional grid of probe points at 1.25 angstrom spacing. The system finds the sites in the proteins giving points at or near the blinding sites. Our results show that property based descriptions along with support vector machines can be used for recognizing protein sites in unannotated structures.

Learning, working memory, and intelligence revisited.

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Tamez, Elaine; Myerson, Joel; Hale, Sandra

2008-06-01

Based on early findings showing low correlations between intelligence test scores and learning on laboratory tasks, psychologists typically have dismissed the role of learning in intelligence and emphasized the role of working memory instead. In 2006, however, B.A. Williams developed a verbal learning task inspired by three-term reinforcement contingencies and reported unexpectedly high correlations between this task and Raven's Advanced Progressive Matrices (RAPM) scores [Williams, B.A., Pearlberg, S.L., 2006. Learning of three-term contingencies correlates with Raven scores, but not with measures of cognitive processing. Intelligence 34, 177-191]. The present study replicated this finding: Performance on the three-term learning task explained almost 25% of the variance in RAPM scores. Adding complex verbal working memory span, measured using the operation span task, did not improve prediction. Notably, this was not due to a lack of correlation between complex working memory span and RAPM scores. Rather, it occurred because most of the variance captured by the complex working memory span was already accounted for by the three-term learning task. Taken together with the findings of Williams and Pearlberg, the present results make a strong case for the role of learning in performance on intelligence tests.

Group learning versus local learning: Which is prefer for public cooperation?

Science.gov (United States)

Yang, Shi-Han; Song, Qi-Qing

2018-01-01

We study the evolution of cooperation in public goods games on various graphs, focusing on the effects that are brought by different kinds of strategy donors. This highlights a basic feature of a public good game, for which there exists a remarkable difference between the interactive players and the players who are imitated. A player can learn from all the groups where the player is a member or from the typically local nearest neighbors, and the results show that the group learning rules have better performance in promoting cooperation on many networks than the local learning rules. The heterogeneity of networks' degree may be an effective mechanism for harvesting the cooperation expectation in many cases, however, we find that heterogeneity does not definitely mean the high frequency of cooperators in a population under group learning rules. It was shown that cooperators always hardly evolve whenever the interaction and the replacement do not coincide for evolutionary pairwise dilemmas on graphs, while for PG games we find that breaking the symmetry is conducive to the survival of cooperators.

Alzheimer's Caregiver Support Online: lessons learned, initial findings and future directions.

Science.gov (United States)

Glueckauf, Robert L; Loomis, Jeffrey S

2003-01-01

Family caregivers of older adults with progressive dementia (e.g., Alzheimer's disease) are faced with a variety of emotional and behavioral difficulties, such as dealing with persistent, repetitive questions, managing agitation and depression, and monitoring hygiene and self-care activities. Although professional and governmental organizations have called for the creation of community-based education and support programs, most dementia caregivers continue to receive little or no formal instruction in responding effectively to these challenges. The current paper describes the development and implementation of Alzheimer's Caregiver Support Online, a Web- and telephone-based education and support network for caregivers of individuals with progressive dementia. Lessons learned from the first two years of this state-supported initiative are discussed, followed by the findings of a Robert Wood Johnson Foundation-funded strategic marketing initiative and an initial program evaluation of AlzOnline's Positive Caregiving classes. Finally, clinical implications and future directions for program development and evaluation research are proposed.

Entrepreneurial learning requires action on the meaning generated

DEFF Research Database (Denmark)

Brink, Tove; Madsen, Svend Ole

2015-01-01

Purpose: This paper reveals how managers of small- and medium-sized enterprises (SMEs) can utilise their participation in research-based training to enable innovation and growth. Design/methodology/approach: Action research and action learning from a longitudinal study of 10 SME managers...... in the wind turbine industry are conducted to reveal SME managers learning and the impact of the application of learning in the wind turbine industry. Findings: The findings of this study show that SME managers employ a practice-shaped holistic cross-disciplinary approach to learning. This learning approach...... is supported by theory dissemination and collaboration on the business challenges perceived. Open mindedness to new learning by SME managers and to cross-disciplinary collaboration with SME managers by university facilitators/ researchers is required. Research limitations/implications: The research...

Computer-Aided College Algebra: Learning Components that Students Find Beneficial

Science.gov (United States)

Aichele, Douglas B.; Francisco, Cynthia; Utley, Juliana; Wescoatt, Benjamin

2011-01-01

A mixed-method study was conducted during the Fall 2008 semester to better understand the experiences of students participating in computer-aided instruction of College Algebra using the software MyMathLab. The learning environment included a computer learning system for the majority of the instruction, a support system via focus groups (weekly…

Ambiguity Tolerance and Perceptual Learning Styles of Chinese EFL Learners

Science.gov (United States)

Li, Haishan; He, Qingshun

2016-01-01

Ambiguity tolerance and perceptual learning styles are the two influential elements showing individual differences in EFL learning. This research is intended to explore the relationship between Chinese EFL learners' ambiguity tolerance and their preferred perceptual learning styles. The findings include (1) the learners are sensitive to English…

Promoting Learning Achievement, Problem Solving, and Learning Curiosity of High School Students: Empirical Thai Study of Self-directed Learning in Physics Course

Directory of Open Access Journals (Sweden)

Wittaya Worapun

2017-11-01

Full Text Available Three phases of this research were employed to study learning achievement, problem solving, and learning curiosity among 43 students in the 11th grade through self-directed learning in a Physics course. Research instruments included: a learning achievement test, a test of curiosity, observations using anecdotal evidence of curiosity, and a test of problem solving ability. The findings show that six components of self-directed learning were evident, i.e. principles and basic concepts, syntax, social system, principle of reaction, and support system. It was found that five main procedures of self-directed learning were applicable in a management model: diagnosis, strategies, growth in habit, taking action, and summarizing and assessing. Students gained in their learning achievement ; furthermore, their posttest scores in problem solving were greater than their pretest scores at .05 level of statistical significance.

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial.

Science.gov (United States)

Worm, Bjarne Skjødt; Jensen, Kenneth

2013-01-01

Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students' learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial

Science.gov (United States)

Worm, Bjarne Skjødt; Jensen, Kenneth

2013-01-01

Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials. PMID:24229729

Does peer learning or higher levels of e-learning improve learning abilities? A randomized controlled trial

Directory of Open Access Journals (Sweden)

Bjarne Skjødt Worm

2013-11-01

Full Text Available Background and aims : The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods : One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+. All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results : All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups improved statistically significant compared to students at level 1 (p>0.05. There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05. Conclusions : This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.

Investigating a model for lecturer training that enables lecturers to plan and carry out meaningful e-learning activities

DEFF Research Database (Denmark)

Kjær, Christopher; Hansen, Pernille Stenkil; Christensen, Inger-Marie F.

2014-01-01

This paper reports on the effect of a lecturer training model in the shape of an e-learning project based on research on adult and work-based learning. A survey was conducted to explore participants’ learning experiences. Findings show high overall satisfaction, motivation and engagement. Suggest......This paper reports on the effect of a lecturer training model in the shape of an e-learning project based on research on adult and work-based learning. A survey was conducted to explore participants’ learning experiences. Findings show high overall satisfaction, motivation and engagement...

Dopamine, reward learning, and active inference.

Science.gov (United States)

FitzGerald, Thomas H B; Dolan, Raymond J; Friston, Karl

2015-01-01

Temporal difference learning models propose phasic dopamine signaling encodes reward prediction errors that drive learning. This is supported by studies where optogenetic stimulation of dopamine neurons can stand in lieu of actual reward. Nevertheless, a large body of data also shows that dopamine is not necessary for learning, and that dopamine depletion primarily affects task performance. We offer a resolution to this paradox based on an hypothesis that dopamine encodes the precision of beliefs about alternative actions, and thus controls the outcome-sensitivity of behavior. We extend an active inference scheme for solving Markov decision processes to include learning, and show that simulated dopamine dynamics strongly resemble those actually observed during instrumental conditioning. Furthermore, simulated dopamine depletion impairs performance but spares learning, while simulated excitation of dopamine neurons drives reward learning, through aberrant inference about outcome states. Our formal approach provides a novel and parsimonious reconciliation of apparently divergent experimental findings.

Collaborative Tasks in Wiki-Based Environment in EFL Learning

Science.gov (United States)

Zou, Bin; Wang, Dongshuo; Xing, Minjie

2016-01-01

Wikis provide users with opportunities to post and edit messages to collaborate in the language learning process. Many studies have offered findings to show positive impact of Wiki-based language learning for learners. This paper explores the effect of collaborative task in error correction for English as a Foreign Language learning in an online…

Effects of Jigsaw Learning Method on Students’ Self-Efficacy and Motivation to Learn

Directory of Open Access Journals (Sweden)

Dwi Nur Rachmah

2017-12-01

Full Text Available Jigsaw learning as a cooperative learning method, according to the results of some studies, can improve academic skills, social competence, behavior in learning, and motivation to learn. However, in some other studies, there are different findings regarding the effect of jigsaw learning method on self-efficacy. The purpose of this study is to examine the effects of jigsaw learning method on self-efficacy and motivation to learn in psychology students at the Faculty of Medicine, Universitas Lambung Mangkurat. The method used in the study is the experimental method using one group pre-test and post-test design. The results of the measurements before and after the use of jigsaw learning method were compared using paired samples t-test. The results showed that there is a difference in students’ self-efficacy and motivation to learn before and after subjected to the treatments; therefore, it can be said that jigsaw learning method had significant effects on self-efficacy and motivation to learn. The application of jigsaw learning model in a classroom with large number of students was the discussion of this study.

The Effects of Brain Based Learning Approach on Motivation and Students Achievement in Mathematics Learning

Science.gov (United States)

Mekarina, M.; Ningsih, Y. P.

2017-09-01

This classroom action research is based by the facts that the students motivation and achievement mathematics learning is less. One of the factors causing is learning that does not provide flexibility to students to empower the potential of the brain optimally. The aim of this research was to improve the student motivation and achievement in mathematics learning by implementing brain based learning approach. The subject of this research was student of grade XI in senior high school. The research consisted of two cycles. Data of student achievement from test, and the student motivation through questionnaire. Furthermore, the finding of this research showed the result of the analysis was the implementation of brain based learning approach can improve student’s achievement and motivation in mathematics learning.

Learning from the Mars Rover Mission: Scientific Discovery, Learning and Memory

Science.gov (United States)

Linde, Charlotte

2005-01-01

Purpose: Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in knowledge production. This paper uses the Mars Exploration Rover mission as a site to explore this process. Approach: Observational study and analysis of the work of the MER science and engineering team during rover operations, to investigate how learning occurs, how it is recorded, and how these representations might be made available for subsequent missions. Findings: Learning occurred in many areas: planning science strategy, using instrumen?s within the constraints of the martian environment, the Deep Space Network, and the mission requirements; using software tools effectively; and running two teams on Mars time for three months. This learning is preserved in many ways. Primarily it resides in individual s memories. It is also encoded in stories, procedures, programming sequences, published reports, and lessons learned databases. Research implications: Shows the earliest stages of knowledge creation in a scientific mission, and demonstrates that knowledge management must begin with an understanding of knowledge creation. Practical implications: Shows that studying learning and knowledge creation suggests proactive ways to capture and use knowledge across multiple missions and generations. Value: This paper provides a unique analysis of the learning process of a scientific space mission, relevant for knowledge management researchers and designers, as well as demonstrating in detail how new learning occurs in a learning organization.

Dissociation between active and observational learning from positive and negative feedback in Parkinsonism.

Science.gov (United States)

Kobza, Stefan; Ferrea, Stefano; Schnitzler, Alfons; Pollok, Bettina; Südmeyer, Martin; Bellebaum, Christian

2012-01-01

Feedback to both actively performed and observed behaviour allows adaptation of future actions. Positive feedback leads to increased activity of dopamine neurons in the substantia nigra, whereas dopamine neuron activity is decreased following negative feedback. Dopamine level reduction in unmedicated Parkinson's Disease patients has been shown to lead to a negative learning bias, i.e. enhanced learning from negative feedback. Recent findings suggest that the neural mechanisms of active and observational learning from feedback might differ, with the striatum playing a less prominent role in observational learning. Therefore, it was hypothesized that unmedicated Parkinson's Disease patients would show a negative learning bias only in active but not in observational learning. In a between-group design, 19 Parkinson's Disease patients and 40 healthy controls engaged in either an active or an observational probabilistic feedback-learning task. For both tasks, transfer phases aimed to assess the bias to learn better from positive or negative feedback. As expected, actively learning patients showed a negative learning bias, whereas controls learned better from positive feedback. In contrast, no difference between patients and controls emerged for observational learning, with both groups showing better learning from positive feedback. These findings add to neural models of reinforcement-learning by suggesting that dopamine-modulated input to the striatum plays a minor role in observational learning from feedback. Future research will have to elucidate the specific neural underpinnings of observational learning.

The value of online learning and MRI: finding a niche for expensive technologies.

Science.gov (United States)

Cook, David A

2014-11-01

The benefits of online learning come at a price. How can we optimize the overall value? Critically appraise the value of online learning. Narrative review. Several prevalent myths overinflate the value of online learning. These include that online learning is cheap and easy (it is usually more expensive), that it is more efficient (efficiency depends on the instructional design, not the modality), that it will transform education (fundamental learning principles have not changed), and that the Net Generation expects it (there is no evidence of pent-up demand). However, online learning does add real value by enhancing flexibility, control and analytics. Costs may also go down if disruptive innovations (e.g. low-cost, low-tech, but instructionally sound "good enough" online learning) supplant technically superior but more expensive online learning products. Cost-lowering strategies include focusing on core principles of learning rather than technologies, using easy-to-learn authoring tools, repurposing content (organizing and sequencing existing resources rather than creating new content) and using course templates. Online learning represents just one tool in an educator's toolbox, as does the MRI for clinicians. We need to use the right tool(s) for the right learner at the right dose, time and route.

Deepening Learning through Learning-by-Inventing

OpenAIRE

Apiola, Mikko; Tedre, Matti

2013-01-01

It has been shown that deep approaches to learning, intrinsic motivation, and self-regulated learning have strong positive effects on learning. How those pedagogical theories can be integrated in computing curricula is, however, still lacking empirically grounded analyses. This study integrated, in a robotics-based programming class, a method of learning-by-inventing, and studied its qualitative effects on students’ learning through 144 interviews. Five findings were related with learning the...

Learning Together 1: an educational model for training GPs, paediatricians: initial findings.

Science.gov (United States)

Macaulay, Chloe; Spicer, John; Riches, Wendy; Lakhanpaul, Monica

2017-01-01

Learning Together is primarily an educational intervention, where paediatric registrars [SpRs] and General Practice (GP) registrars [GPSTs] see children together in a primary care setting. Over a six month period in 2013/2014, 44 learning pairs were set up mainly in North East and Central London. Proof of concept for the model at scale was achieved. Reported learning demonstrated: clinical learning themes of new knowledge, skill and communication skills; and collaborative themes of ongoing collaboration, satisfaction with team working and change in attitudes. These themes were identified in both sets of trainees. The self-reported learning is backed up by the results of a retrospective notes review of four common conditions based on NICE guidelines; constipation, asthma, feverish illness and eczema (CAFE). Guidance adherence improved from 57% before the intervention in solo GP training consultations to 72% during the joint clinic intervention (p Learning Together in its South London extension.

Attentional Bias in Human Category Learning: The Case of Deep Learning.

Science.gov (United States)

Hanson, Catherine; Caglar, Leyla Roskan; Hanson, Stephen José

2018-01-01

Category learning performance is influenced by both the nature of the category's structure and the way category features are processed during learning. Shepard (1964, 1987) showed that stimuli can have structures with features that are statistically uncorrelated (separable) or statistically correlated (integral) within categories. Humans find it much easier to learn categories having separable features, especially when attention to only a subset of relevant features is required, and harder to learn categories having integral features, which require consideration of all of the available features and integration of all the relevant category features satisfying the category rule (Garner, 1974). In contrast to humans, a single hidden layer backpropagation (BP) neural network has been shown to learn both separable and integral categories equally easily, independent of the category rule (Kruschke, 1993). This "failure" to replicate human category performance appeared to be strong evidence that connectionist networks were incapable of modeling human attentional bias. We tested the presumed limitations of attentional bias in networks in two ways: (1) by having networks learn categories with exemplars that have high feature complexity in contrast to the low dimensional stimuli previously used, and (2) by investigating whether a Deep Learning (DL) network, which has demonstrated humanlike performance in many different kinds of tasks (language translation, autonomous driving, etc.), would display human-like attentional bias during category learning. We were able to show a number of interesting results. First, we replicated the failure of BP to differentially process integral and separable category structures when low dimensional stimuli are used (Garner, 1974; Kruschke, 1993). Second, we show that using the same low dimensional stimuli, Deep Learning (DL), unlike BP but similar to humans, learns separable category structures more quickly than integral category structures

Attentional Bias in Human Category Learning: The Case of Deep Learning

Directory of Open Access Journals (Sweden)

Catherine Hanson

2018-04-01

Full Text Available Category learning performance is influenced by both the nature of the category's structure and the way category features are processed during learning. Shepard (1964, 1987 showed that stimuli can have structures with features that are statistically uncorrelated (separable or statistically correlated (integral within categories. Humans find it much easier to learn categories having separable features, especially when attention to only a subset of relevant features is required, and harder to learn categories having integral features, which require consideration of all of the available features and integration of all the relevant category features satisfying the category rule (Garner, 1974. In contrast to humans, a single hidden layer backpropagation (BP neural network has been shown to learn both separable and integral categories equally easily, independent of the category rule (Kruschke, 1993. This “failure” to replicate human category performance appeared to be strong evidence that connectionist networks were incapable of modeling human attentional bias. We tested the presumed limitations of attentional bias in networks in two ways: (1 by having networks learn categories with exemplars that have high feature complexity in contrast to the low dimensional stimuli previously used, and (2 by investigating whether a Deep Learning (DL network, which has demonstrated humanlike performance in many different kinds of tasks (language translation, autonomous driving, etc., would display human-like attentional bias during category learning. We were able to show a number of interesting results. First, we replicated the failure of BP to differentially process integral and separable category structures when low dimensional stimuli are used (Garner, 1974; Kruschke, 1993. Second, we show that using the same low dimensional stimuli, Deep Learning (DL, unlike BP but similar to humans, learns separable category structures more quickly than integral category

Dopamine, reward learning, and active inference

Directory of Open Access Journals (Sweden)

Thomas eFitzgerald

2015-11-01

Full Text Available Temporal difference learning models propose phasic dopamine signalling encodes reward prediction errors that drive learning. This is supported by studies where optogenetic stimulation of dopamine neurons can stand in lieu of actual reward. Nevertheless, a large body of data also shows that dopamine is not necessary for learning, and that dopamine depletion primarily affects task performance. We offer a resolution to this paradox based on an hypothesis that dopamine encodes the precision of beliefs about alternative actions, and thus controls the outcome-sensitivity of behaviour. We extend an active inference scheme for solving Markov decision processes to include learning, and show that simulated dopamine dynamics strongly resemble those actually observed during instrumental conditioning. Furthermore, simulated dopamine depletion impairs performance but spares learning, while simulated excitation of dopamine neurons drives reward learning, through aberrant inference about outcome states. Our formal approach provides a novel and parsimonious reconciliation of apparently divergent experimental findings.

Visual Aversive Learning Compromises Sensory Discrimination.

Science.gov (United States)

Shalev, Lee; Paz, Rony; Avidan, Galia

2018-03-14

Aversive learning is thought to modulate perceptual thresholds, which can lead to overgeneralization. However, it remains undetermined whether this modulation is domain specific or a general effect. Moreover, despite the unique role of the visual modality in human perception, it is unclear whether this aspect of aversive learning exists in this modality. The current study was designed to examine the effect of visual aversive outcomes on the perception of basic visual and auditory features. We tested the ability of healthy participants, both males and females, to discriminate between neutral stimuli, before and after visual learning. In each experiment, neutral stimuli were associated with aversive images in an experimental group and with neutral images in a control group. Participants demonstrated a deterioration in discrimination (higher discrimination thresholds) only after aversive learning. This deterioration was measured for both auditory (tone frequency) and visual (orientation and contrast) features. The effect was replicated in five different experiments and lasted for at least 24 h. fMRI neural responses and pupil size were also measured during learning. We showed an increase in neural activations in the anterior cingulate cortex, insula, and amygdala during aversive compared with neutral learning. Interestingly, the early visual cortex showed increased brain activity during aversive compared with neutral context trials, with identical visual information. Our findings imply the existence of a central multimodal mechanism, which modulates early perceptual properties, following exposure to negative situations. Such a mechanism could contribute to abnormal responses that underlie anxiety states, even in new and safe environments. SIGNIFICANCE STATEMENT Using a visual aversive-learning paradigm, we found deteriorated discrimination abilities for visual and auditory stimuli that were associated with visual aversive stimuli. We showed increased neural

Visual attention to features by associative learning.

Science.gov (United States)

Gozli, Davood G; Moskowitz, Joshua B; Pratt, Jay

2014-11-01

Expecting a particular stimulus can facilitate processing of that stimulus over others, but what is the fate of other stimuli that are known to co-occur with the expected stimulus? This study examined the impact of learned association on feature-based attention. The findings show that the effectiveness of an uninformative color transient in orienting attention can change by learned associations between colors and the expected target shape. In an initial acquisition phase, participants learned two distinct sequences of stimulus-response-outcome, where stimuli were defined by shape ('S' vs. 'H'), responses were localized key-presses (left vs. right), and outcomes were colors (red vs. green). Next, in a test phase, while expecting a target shape (80% probable), participants showed reliable attentional orienting to the color transient associated with the target shape, and showed no attentional orienting with the color associated with the alternative target shape. This bias seemed to be driven by learned association between shapes and colors, and not modulated by the response. In addition, the bias seemed to depend on observing target-color conjunctions, since encountering the two features disjunctively (without spatiotemporal overlap) did not replicate the findings. We conclude that associative learning - likely mediated by mechanisms underlying visual object representation - can extend the impact of goal-driven attention to features associated with a target stimulus. Copyright © 2014 Elsevier B.V. All rights reserved.

The effectiveness of e-learning

DEFF Research Database (Denmark)

Noesgaard, Signe Schack; Ørngreen, Rikke

2015-01-01

A structured search of library databases revealed that research examining the effectiveness of e-Learning has heavily increased within the last five years. After taking a closer look at the search results, the authors discovered that previous researchers defined and investigated effectiveness....... The paper answers the following research questions: How is the effectiveness of e-Learning defined? How is the effectiveness of e-Learning measured? What makes e-Learning solutions effective? The authors discovered 19 distinct ways to define effectiveness, the most common of which is ‘learning outcome...... to the findings of the literature study. The study suggests that it is difficult to use e-Learning to improve teaching performance, as participating teachers can apply several strategies to avoid substantially changing their work-related practices. Furthermore, the study shows that only using the fulfilment...

Theories of willpower affect sustained learning.

Science.gov (United States)

Miller, Eric M; Walton, Gregory M; Dweck, Carol S; Job, Veronika; Trzesniewski, Kali H; McClure, Samuel M

2012-01-01

Building cognitive abilities often requires sustained engagement with effortful tasks. We demonstrate that beliefs about willpower-whether willpower is viewed as a limited or non-limited resource-impact sustained learning on a strenuous mental task. As predicted, beliefs about willpower did not affect accuracy or improvement during the initial phases of learning; however, participants who were led to view willpower as non-limited showed greater sustained learning over the full duration of the task. These findings highlight the interactive nature of motivational and cognitive processes: motivational factors can substantially affect people's ability to recruit their cognitive resources to sustain learning over time.

A Brief Report: Lessons Learned and Preliminary Findings of Progreso en Salud, an HIV Risk Reduction Intervention for Latina Seasonal Farmworkers.

Science.gov (United States)

Kanamori, Mariano; De La Rosa, Mario; Diez, Stephanie; Weissman, Jessica; Trepka, Mary Jo; Sneij, Alicia; Schmidt, Peter; Rojas, Patria

2016-12-30

Throughout the past decade, HIV rates in Florida-particularly South Florida, where many Latina seasonal farmworkers reside and work-have ranked among the highest in the nation. In this brief report, we delineate important lessons learned and preliminary findings from the implementation of the HIV prevention intervention Progreso en Salud (Progress in Health). Among the 114 Latina seasonal farmworker participants, there were significant increases from baseline to 6-month follow-up in the percentages of overall condom use, HIV testing, HIV/AIDS-related communications with friends, HIV knowledge, condom use self-efficacy, and correct use of condoms. Lessons learned from this study can be used to inform future HIV intervention strategies to improve the adoption and maintenance of HIV risk reduction behaviors among high-risk Latina seasonal workers and other high-risk underserved populations. Future research is needed to support our findings.

Hospitals as learning organizations: fostering innovation through interactive learning.

Science.gov (United States)

Dias, Casimiro; Escoval, Ana

2015-01-01

The article aims to provide an analytical understanding of hospitals as "learning organizations." It further analyzes the development of learning organizations as a way to enhance innovation and performance in the hospital sector. The article pulls together primary data on organizational flexibility, innovation, and performance from 95 administrators from hospital boards in Portugal, collected through a survey, interviews with hospital's boards, and a nominal group technique with a panel of experts on health systems. Results show that a combination of several organizational traits of the learning organization enhances its capacity for innovation development. The logistic model presented reveals that hospitals classified as "advanced learning organizations" have 5 times more chance of developing innovation than "basic learning organizations." Empirical findings further pointed out incentives, standards, and measurement requirements as key elements for integration of service delivery systems and expansion of the current capacity for structured and real-time learning in the hospital sector. The major implication arising from this study is that policy needs to combine instruments that promote innovation opportunities and incentives, with instruments stimulating the further development of the core components of learning organizations. Such a combination of policy instruments has the potential to ensure a wide external cooperation through a learning infrastructure.

Records for learning

DEFF Research Database (Denmark)

Binder, Thomas

2005-01-01

The article present and discuss findings from a participatory development of new learning practices among intensive care nurses, with an emphasize on the role of place making in informal learning activities.......The article present and discuss findings from a participatory development of new learning practices among intensive care nurses, with an emphasize on the role of place making in informal learning activities....

Two cases of Tolosa-Hunt syndrome showing interesting CT findings

International Nuclear Information System (INIS)

Abe, Masahiro; Hara, Yuzo; Ito, Noritaka; Nishimura, Mieko; Onishi, Yoshitaka; Hasuo, Kanehiro

1982-01-01

CT showed the lesion at the orbital apex in both of the 2 cases of Tolosa-Hunt syndrome. Steroid therapy resulted in improvement of clinical symptoms and regression of the lesion which was confirmed by CT. (Chiba, N.)

Who Learns More? Cultural Differences in Implicit Sequence Learning

Science.gov (United States)

Fu, Qiufang; Dienes, Zoltan; Shang, Junchen; Fu, Xiaolan

2013-01-01

Background It is well documented that East Asians differ from Westerners in conscious perception and attention. However, few studies have explored cultural differences in unconscious processes such as implicit learning. Methodology/Principal Findings The global-local Navon letters were adopted in the serial reaction time (SRT) task, during which Chinese and British participants were instructed to respond to global or local letters, to investigate whether culture influences what people acquire in implicit sequence learning. Our results showed that from the beginning British expressed a greater local bias in perception than Chinese, confirming a cultural difference in perception. Further, over extended exposure, the Chinese learned the target regularity better than the British when the targets were global, indicating a global advantage for Chinese in implicit learning. Moreover, Chinese participants acquired greater unconscious knowledge of an irrelevant regularity than British participants, indicating that the Chinese were more sensitive to contextual regularities than the British. Conclusions/Significance The results suggest that cultural biases can profoundly influence both what people consciously perceive and unconsciously learn. PMID:23940773

Motivation to Learn among Older Adults in Taiwan

Science.gov (United States)

Chang, Dian-Fu; Lin, Sung-Po

2011-01-01

This study analyzed the survey on adults administered by the Ministry of Education in Taiwan in 2008, and logistic regression analysis showed a close relationship between learning motivations of older adults. The finding revealed that the higher age or the lower education attainment of older adults, the lower their learning motivation. The…

Do Sophisticated Epistemic Beliefs Predict Meaningful Learning? Findings from a Structural Equation Model of Undergraduate Biology Learning

Science.gov (United States)

Lee, Silvia Wen-Yu; Liang, Jyh-Chong; Tsai, Chin-Chung

2016-01-01

This study investigated the relationships among college students' epistemic beliefs in biology (EBB), conceptions of learning biology (COLB), and strategies of learning biology (SLB). EBB includes four dimensions, namely "multiple-source," "uncertainty," "development," and "justification." COLB is further…

‘YOUTH AMPLIFIED’: USING CRITICAL PEDAGOGY TO STIMULATE LEARNING THROUGH DIALOGUE AT A YOUTH RADIO SHOW

Directory of Open Access Journals (Sweden)

Adam Cooper

2016-08-01

Full Text Available In this paper I describe and analyse how critical pedagogy, an approach to teaching and learning that encourages students to reflect on their socio-political contexts, may stimulate critical consciousness and dialogue at a youth radio show. The participants, who attended four diverse Cape Town high schools and predominantly lived in poor townships, named the show Youth Amplified. Youth Amplified dialogues were catalysed by a range of materials, including documentary films, newspapers and academic articles, which participants engaged with prior to the show. Participants then generated questions, which contributed to the dialogues that took place live on air. Two central themes emerged from the radio shows. First, the values and discourses of elite schools were transported to Youth Amplified and presented as incontestable truths that often denigrated marginalised learners. Second, participants used ‘race’ as a marker of social difference to make sense of peers and South African society. I argue that critical pedagogy interventions also need to work with educators to reflect on inequalities and socio-political contexts, if such interventions are to be successful. The show illuminated that young South Africans want to speak about racialised and class-based forms of historical oppression, but that these kinds of discussions require skilled facilitation.

Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management (Mediating Role of eLearning for Corporate Training)

OpenAIRE

Aamir Sarwar; Chitapa Ketavan; Nadeem Shafique Butt

2015-01-01

The objective of the study was to develop a model with and without the mediator comparing direct and indirect Impacts using Bootstrap (Two tailed significance results to be used), options for manufacturing, services sectors and overall and finding out the significance of the relationship. Study tried to find out the Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management with eLearning for Corporate Training as a mediator. This is a cross sectional study con...

A Brief Report: Lessons Learned and Preliminary Findings of Progreso en Salud, an HIV Risk Reduction Intervention for Latina Seasonal Farmworkers

Directory of Open Access Journals (Sweden)

Mariano Kanamori

2016-12-01

Full Text Available Throughout the past decade, HIV rates in Florida—particularly South Florida, where many Latina seasonal farmworkers reside and work—have ranked among the highest in the nation. In this brief report, we delineate important lessons learned and preliminary findings from the implementation of the HIV prevention intervention Progreso en Salud (Progress in Health. Among the 114 Latina seasonal farmworker participants, there were significant increases from baseline to 6-month follow-up in the percentages of overall condom use, HIV testing, HIV/AIDS-related communications with friends, HIV knowledge, condom use self-efficacy, and correct use of condoms. Lessons learned from this study can be used to inform future HIV intervention strategies to improve the adoption and maintenance of HIV risk reduction behaviors among high-risk Latina seasonal workers and other high-risk underserved populations. Future research is needed to support our findings.

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).

The effect of learning models and emotional intelligence toward students learning outcomes on reaction rate

Science.gov (United States)

Sutiani, Ani; Silitonga, Mei Y.

2017-08-01

This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.

Utilization of Information and Communication Technologies in Mathematics Learning

Directory of Open Access Journals (Sweden)

Farzaneh Saadati

2014-07-01

Full Text Available Attention to integrate technology in teaching and learning has provided a major transformation in the landscape of education. Therefore, many innovations in teaching and learning have been technology-driven. The study attempted to examine what is engineering students’ perception regarding the use of Information and Communication Technologies (ICT in mathematics learning as well as investigate their opinion about how ICT can be integrated to improve teaching and learning processes. The subjects were Iranian engineering students from two universities. The finding showed they are fully aware of importance of ICT in teaching and learning mathematics. Whilst, they were feeling comfortable and confident with technology, they do not have more experience of using technology in mathematics classes before. The findings supported the other studies, which indicated the potentials of ICT to facilitate students’ learning, improve teaching, and enhance institutional administration as established in the literature.

Organizational Learning in Rare Events

DEFF Research Database (Denmark)

Andersen, Kristina Vaarst; Tyler, Beverly; Beukel, Karin

When organizations encounter rare events they often find it challenging to extract learning from the experience. We analyze opportunities for organizational learning in one such rare event, namely Intellectual Property (IP) litigation, i.e., when organizations take disputes regarding their intell......When organizations encounter rare events they often find it challenging to extract learning from the experience. We analyze opportunities for organizational learning in one such rare event, namely Intellectual Property (IP) litigation, i.e., when organizations take disputes regarding...... the organization little discretion to utilize any learning from past litigation success. Thus, learning appears be to most beneficial in infringement cases. Based on statistical analysis of 10,211 litigation court cases in China, we find support for our hypotheses. Our findings suggest that organizations can learn...

Theories of willpower affect sustained learning.

Directory of Open Access Journals (Sweden)

Eric M Miller

Full Text Available Building cognitive abilities often requires sustained engagement with effortful tasks. We demonstrate that beliefs about willpower-whether willpower is viewed as a limited or non-limited resource-impact sustained learning on a strenuous mental task. As predicted, beliefs about willpower did not affect accuracy or improvement during the initial phases of learning; however, participants who were led to view willpower as non-limited showed greater sustained learning over the full duration of the task. These findings highlight the interactive nature of motivational and cognitive processes: motivational factors can substantially affect people's ability to recruit their cognitive resources to sustain learning over time.

But science is international! Finding time and space to encourage intercultural learning in a content-driven physiology unit.

Science.gov (United States)

Etherington, Sarah J

2014-06-01

Internationalization of the curriculum is central to the strategic direction of many modern universities and has widespread benefits for student learning. However, these clear aspirations for internationalization of the curriculum have not been widely translated into more internationalized course content and teaching methods in the classroom, particularly in scientific disciplines. This study addressed one major challenge to promoting intercultural competence among undergraduate science students: finding time to scaffold such learning within the context of content-heavy, time-poor units. Small changes to enhance global and intercultural awareness were incorporated into existing assessments and teaching activities within a second-year biomedical physiology unit. Interventions were designed to start a conversation about global and intercultural perspectives on physiology, to embed the development of global awareness into the assessment and to promote cultural exchanges through peer interactions. In student surveys, 40% of domestic and 60% of international student respondents articulated specific learning about interactions in cross-cultural groups resulting from unit activities. Many students also identified specific examples of how cultural beliefs would impact on the place of biomedical physiology within the global community. In addition, staff observed more widespread benefits for student engagement and learning. It is concluded that a significant development of intercultural awareness and a more global perspective on scientific understanding can be supported among undergraduates with relatively modest, easy to implement adaptations to course content.

Model-observer similarity, error modeling and social learning in rhesus macaques.

Directory of Open Access Journals (Sweden)

Elisabetta Monfardini

Full Text Available Monkeys readily learn to discriminate between rewarded and unrewarded items or actions by observing their conspecifics. However, they do not systematically learn from humans. Understanding what makes human-to-monkey transmission of knowledge work or fail could help identify mediators and moderators of social learning that operate regardless of language or culture, and transcend inter-species differences. Do monkeys fail to learn when human models show a behavior too dissimilar from the animals' own, or when they show a faultless performance devoid of error? To address this question, six rhesus macaques trained to find which object within a pair concealed a food reward were successively tested with three models: a familiar conspecific, a 'stimulus-enhancing' human actively drawing the animal's attention to one object of the pair without actually performing the task, and a 'monkey-like' human performing the task in the same way as the monkey model did. Reward was manipulated to ensure that all models showed equal proportions of errors and successes. The 'monkey-like' human model improved the animals' subsequent object discrimination learning as much as a conspecific did, whereas the 'stimulus-enhancing' human model tended on the contrary to retard learning. Modeling errors rather than successes optimized learning from the monkey and 'monkey-like' models, while exacerbating the adverse effect of the 'stimulus-enhancing' model. These findings identify error modeling as a moderator of social learning in monkeys that amplifies the models' influence, whether beneficial or detrimental. By contrast, model-observer similarity in behavior emerged as a mediator of social learning, that is, a prerequisite for a model to work in the first place. The latter finding suggests that, as preverbal infants, macaques need to perceive the model as 'like-me' and that, once this condition is fulfilled, any agent can become an effective model.

Qualitative Findings from an Experientially Designed Exercise Immunology Course: Holistic Wellness Benefits, Self-Efficacy Gains, and Integration of Prior Course Learning

Science.gov (United States)

Curry, Jennifer; Fazio-Griffith, Laura; Carson, Russell; Stewart, Laura

2010-01-01

Experiential education is a well documented approach to engaging student learners. This manuscript presents findings from a qualitative inquiry, specifically focus group discussions, investigating the perceptions of 28 student participants in a learning opportunity provided to a kinesiology class involving structured group exercise (marathon…

Service-Learning: A Venue for Enhancing Pre-Service Educators' Knowledge Base for Teaching

Science.gov (United States)

Meaney, Karen; Griffin, Kent; Bohler, Heidi

2009-01-01

Scholarship of Teaching and Learning research examining the impact of service-learning on student's personal qualities has shown positive results. Findings indicate that students participating in high quality service-learning programs show increases in their perceptions of self-efficacy, civic responsibility, social justice, and diversity…

Productive failure in learning math.

Science.gov (United States)

Kapur, Manu

2014-06-01

When learning a new math concept, should learners be first taught the concept and its associated procedures and then solve problems, or solve problems first even if it leads to failure and then be taught the concept and the procedures? Two randomized-controlled studies found that both methods lead to high levels of procedural knowledge. However, students who engaged in problem solving before being taught demonstrated significantly greater conceptual understanding and ability to transfer to novel problems than those who were taught first. The second study further showed that when given an opportunity to learn from the failed problem-solving attempts of their peers, students outperformed those who were taught first, but not those who engaged in problem solving first. Process findings showed that the number of student-generated solutions significantly predicted learning outcomes. These results challenge the conventional practice of direct instruction to teach new math concepts and procedures, and propose the possibility of learning from one's own failed problem-solving attempts or those of others before receiving instruction as alternatives for better math learning. © 2014 Cognitive Science Society, Inc.

An Example of the Use of Research Methods and Findings as an Experiential Learning Exercise in an Accounting Theory Course

Science.gov (United States)

Bublitz, Bruce; Philipich, Kirk; Blatz, Robert

2015-01-01

The purpose of this teaching note is to describe an experiential learning exercise used in a master's level financial accounting theory course. The experiential exercise illustrates how order effects can affect user's judgments, a long-standing research finding. This experiential exercise was used in an attempt to make students more cognizant of…

A Decomposition Algorithm for Learning Bayesian Network Structures from Data

DEFF Research Database (Denmark)

Zeng, Yifeng; Cordero Hernandez, Jorge

2008-01-01

It is a challenging task of learning a large Bayesian network from a small data set. Most conventional structural learning approaches run into the computational as well as the statistical problems. We propose a decomposition algorithm for the structure construction without having to learn...... the complete network. The new learning algorithm firstly finds local components from the data, and then recover the complete network by joining the learned components. We show the empirical performance of the decomposition algorithm in several benchmark networks....

An autopsied case of tuberculous meningitis showing interesting CT findings

International Nuclear Information System (INIS)

Abiko, Takashi; Higuchi, Hiroshi; Imada, Ryuichi; Nagai, Kenichi

1983-01-01

A 61-year-old female patient died of a neurological disorder of unknown origin one month after the first visit and was found to have had tuberculous meningitis at autopsy. CT revealed a low density area showing an enlargement of the cerebral ventricle but did not reveal contrast enhancement in the basal cistern peculiar to tuberculous meningitis. (Namekawa, K.)

Volunteering as a community mother--a pathway to lifelong learning.

Science.gov (United States)

Molloy, Mary

2007-05-01

This paper describes a study that was undertaken to investigate the effects of participating in a community volunteering programme (the Community Mothers Programme) on volunteers (Community Mothers). The aim of the study was to investigate if volunteering in this programme acted as a pathway to lifelong learning; did the volunteers recognise the learning of new knowledge and/or skills, and did their participation in the programme trigger them to progress to further education in other settings? A self-administered questionnaire method was used for data collection: 115 questionnaires being distributed to volunteers, with a response rate of eighty-two (71 per cent). Findings show that the majority of the respondents cited the learning of new knowledge and/or skills as a result of their participation in the Community Mothers Programme. Learning appeared to stem from the various training and activities, suggesting an educational process within the volunteer setting. Findings also show that the majority of respondents had progressed to further education. In this instance, therefore, volunteering did appear to act as a pathway to lifelong learning.

THE USE OF NUMBERED HEADS TOGETHER (NHT LEARNING MODEL WITH SCIENCE, ENVIRONMENT, TECHNOLOGY, SOCIETY (SETS APPROACH TO IMPROVE STUDENT LEARNING MOTIVATION OF SENIOR HIGH SCHOOL

Directory of Open Access Journals (Sweden)

B. Sutipnyo

2018-01-01

Full Text Available This research was aimed to determine the increasing of students' motivation that has been applied by Numbered Heads Together (NHT learning model with Science, Environment, Technology, Society (SETS approach. The design of this study was quasi experiment with One Group Pretest-Posttest Design. The data of students’ learning motivation obtained through questionnaire administered before and after NHT learning model with SETS approach. In this research, the indicators of learning-motivation were facing tasks diligently, showing interest in variety of problems, prefering to work independently, keeping students’ opinions, and feeling happy to find and solve problems. Increasing of the students’ learning motivation was analyzed by using a gain test. The results showed that applying NHT learning model with SETS approach could increase the students’ learning motivation in medium categories.

Creativity in Medical Learning: A direction-finding study of junior hospital doctors

Directory of Open Access Journals (Sweden)

Martin Talbot

2006-04-01

Full Text Available In a questionnaire study of creativity, the author has assessed the teaching and clinical practice of medical teachers, as observed by their students. The study has taken some preliminary steps to assess the place of creativity in postgraduate medical learning in the United Kingdom. Junior doctors were asked to compare their ‘best’ teacher with their ‘worst’ utilising a semantic differential scale and questions derived from Torrance’s definitions of creativity. The response rate was 81 (56.25% of 144 junior hospital doctors, in whose view, ‘best’ teachers showed greater creative behaviour as evidenced by significantly higher creativity scores on the majority of parameters (p<0.0001.

The Better You Feel the Better You Learn: Do Warm Colours and Rounded Shapes Enhance Learning Outcome in Multimedia Learning?

Directory of Open Access Journals (Sweden)

Hannes Münchow

2017-01-01

Full Text Available The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61 or an affectively neutral environment that used achromatic colours and sharp edges (n=50. Participants learned about the topic of functional neuroanatomy for 20 minutes and had to answer several questions for comprehension and transfer afterwards. Affective states as well as achievement goal orientations were investigated before and after the learning phase using questionnaires. The results show that participants in the affectively positive environment were superior in comprehension as well as transfer when initial affect was strong. Preexperimental positive affect was therefore a predictor of comprehension and a moderator for transfer. Goal orientations did not influence these effects. The findings support the idea that positive affect, induced through the design of the particular multimedia learning environment, can facilitate performance if initial affective states are taken into account.

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.

Pulmonary alveolar proteinosis versus exogenous lipoid pneumonia showing crazy-paving pattern: Comparison of their clinical features and high-resolution CT findings

Energy Technology Data Exchange (ETDEWEB)

Choi, Hei Kyung; Park, Chang Min; Goo, Jin Mo; Lee, Hyun Ju (Dept. of Radiology, Seoul National Univ. College of Medicine, and Inst. of Radiation Medicine, Seoul National Univ. Medical Research Center, Seoul (Korea)), e-mail: cmpark@radiol.snu.ac.kr

2010-05-15

Background: Although pulmonary alveolar proteinosis (PAP) and exogenous lipoid pneumonia (ELP) require different treatment strategies, both manifest as a crazy-paving pattern on CT and often have similar clinical manifestations and radiologic features. Purpose: To investigate the clinical features and high-resolution computed tomography (HRCT) findings of PAP and ELP showing the crazy-paving pattern. Material and Methods: The clinical features and HRCT findings of eight patients with pathologically proven PAP and six patients with pathologically proven ELP showing the crazy-paving pattern were retrospectively evaluated. Two radiologists analyzed the HRCT findings of PAP and ELP in consensus in terms of the presence, severity, and extent of illdefined centrilobular nodules, consolidations, ground-glass opacities (GGOs), reticulations, and the crazy-paving pattern. Results: With respect to the clinical features of these two diseases, all patients with ELP were retrospectively found to have a history of oil ingestion. In terms of the HRCT findings, ill-defined centrilobular nodules were seen in five of six patients (83%) with ELP, whereas they were not present in any patient with PAP (P=0.003). Consolidation was also more frequently present in patients with ELP (83%) than in those with PAP (11%), which was statistically different (P=0.0265). In terms of the severity and extent, the crazy-paving pattern and reticulations on HRCT were significantly more extensive and severe in patients with PAP than in those with ELP. Conclusion: PAP and ELP with the crazy-paving pattern have several distinctive characteristics with respect to their HRCT findings as well as history of oil ingestion, and can therefore be distinguished from one another

Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement

DEFF Research Database (Denmark)

Manoonpong, Poramate; Kolodziejski, Christoph; Wörgötter, Florentin

2013-01-01

Classical conditioning (conventionally modeled as correlation-based learning) and operant conditioning (conventionally modeled as reinforcement learning or reward-based learning) have been found in biological systems. Evidence shows that these two mechanisms strongly involve learning about...... associations. Based on these biological findings, we propose a new learning model to achieve successful control policies for artificial systems. This model combines correlation-based learning using input correlation learning (ICO learning) and reward-based learning using continuous actor–critic reinforcement...... learning (RL), thereby working as a dual learner system. The model performance is evaluated by simulations of a cart-pole system as a dynamic motion control problem and a mobile robot system as a goal-directed behavior control problem. Results show that the model can strongly improve pole balancing control...

The Attitudes of Freshman Undergraduates in Learning English as a Second Language

Directory of Open Access Journals (Sweden)

Yvonne Jain

2012-06-01

Full Text Available The purpose of this study is to investigate the attitudes of tertiary students towards the learning of English language with regard to their gender, discipline and language proficiency. This descriptive study involved a total of 200 undergraduates from the Faculty of Education in Shah Alam, Selangor. The study employed two methods of data collection: questionnaire and semi- structured interviews. The findings revealed that there was a moderately positive attitude towards the learning of English language. However, the findings showed that the female respondents were more positive towards the learning of English language compared to their male counterparts while the Non Science major students had positive attitude towards learning English language compared to the Science major students. The study also showed that low proficiency students had better attitude towards English language compared to high proficiency students.

Developments in Interpreting Learning Curves and Applications to Energy Technology Policy

International Nuclear Information System (INIS)

Van der Zwaan, B.C.C.; Wene, C.O.

2011-01-01

The book 'Learning Curves: Theory, Models, and Applications' first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Chapter 23 on 'Developments in Interpreting Learning Curves and Applications to Energy Technology Policy' is written by Bob van der Zwaan and Clas-Otto Wene. In this chapter they provide some interpretations of experience and learning curves starting from three different theoretical platforms. These interpretations are aimed at explaining learning rates for different energy technologies. The ultimate purpose is to find the role that experience and learning curves can legitimately play in designing efficient government deployment programs and in analyzing the implications of different energy scenarios. The 'Component Learning' section summarizes recent work by the authors that focuses on the disaggregation of technologies in their respective components and argues that traditional learning for overall technology should perhaps be replaced by a phenomenology that recognizes learning for individual components. The 'Learning and Time' section presents an approach that departs more strongly from the conventional learning curve methodology, by suggesting that exponential growth and progress may be the deeper underlying processes behind observed learning-by-doing. Contrary to this view, the cybernetic approach presented in the 'Cybernetic Approach' section sees learning curves as expressing a fundamental property of organizations in competitive markets and applies the findings from second order cybernetics to calculate the learning rates for operationally closed systems. All three interpretations find empirical support. The 'Conclusions' section summarizes the

Developments in Interpreting Learning Curves and Applications to Energy Technology Policy

Energy Technology Data Exchange (ETDEWEB)

Van der Zwaan, B.C.C. [Energy research Centre of the Netherlands, ECN Policy Studies, Petten (Netherlands); Wene, C.O. [Wenergy, Lund (Sweden)

2011-06-15

The book 'Learning Curves: Theory, Models, and Applications' first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Chapter 23 on 'Developments in Interpreting Learning Curves and Applications to Energy Technology Policy' is written by Bob van der Zwaan and Clas-Otto Wene. In this chapter they provide some interpretations of experience and learning curves starting from three different theoretical platforms. These interpretations are aimed at explaining learning rates for different energy technologies. The ultimate purpose is to find the role that experience and learning curves can legitimately play in designing efficient government deployment programs and in analyzing the implications of different energy scenarios. The 'Component Learning' section summarizes recent work by the authors that focuses on the disaggregation of technologies in their respective components and argues that traditional learning for overall technology should perhaps be replaced by a phenomenology that recognizes learning for individual components. The 'Learning and Time' section presents an approach that departs more strongly from the conventional learning curve methodology, by suggesting that exponential growth and progress may be the deeper underlying processes behind observed learning-by-doing. Contrary to this view, the cybernetic approach presented in the 'Cybernetic Approach' section sees learning curves as expressing a fundamental property of organizations in competitive markets and applies the findings from second order cybernetics to calculate the learning rates for operationally closed systems. All three interpretations find empirical

What if Learning Analytics Were Based on Learning Science?

Science.gov (United States)

Marzouk, Zahia; Rakovic, Mladen; Liaqat, Amna; Vytasek, Jovita; Samadi, Donya; Stewart-Alonso, Jason; Ram, Ilana; Woloshen, Sonya; Winne, Philip H.; Nesbit, John C.

2016-01-01

Learning analytics are often formatted as visualisations developed from traced data collected as students study in online learning environments. Optimal analytics inform and motivate students' decisions about adaptations that improve their learning. We observe that designs for learning often neglect theories and empirical findings in learning…

Unsupervised learning of a steerable basis for invariant image representations

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Bethge, Matthias; Gerwinn, Sebastian; Macke, Jakob H.

2007-02-01

There are two aspects to unsupervised learning of invariant representations of images: First, we can reduce the dimensionality of the representation by finding an optimal trade-off between temporal stability and informativeness. We show that the answer to this optimization problem is generally not unique so that there is still considerable freedom in choosing a suitable basis. Which of the many optimal representations should be selected? Here, we focus on this second aspect, and seek to find representations that are invariant under geometrical transformations occuring in sequences of natural images. We utilize ideas of 'steerability' and Lie groups, which have been developed in the context of filter design. In particular, we show how an anti-symmetric version of canonical correlation analysis can be used to learn a full-rank image basis which is steerable with respect to rotations. We provide a geometric interpretation of this algorithm by showing that it finds the two-dimensional eigensubspaces of the average bivector. For data which exhibits a variety of transformations, we develop a bivector clustering algorithm, which we use to learn a basis of generalized quadrature pairs (i.e. 'complex cells') from sequences of natural images.

Machine learning topological states

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Deng, Dong-Ling; Li, Xiaopeng; Das Sarma, S.

2017-11-01

Artificial neural networks and machine learning have now reached a new era after several decades of improvement where applications are to explode in many fields of science, industry, and technology. Here, we use artificial neural networks to study an intriguing phenomenon in quantum physics—the topological phases of matter. We find that certain topological states, either symmetry-protected or with intrinsic topological order, can be represented with classical artificial neural networks. This is demonstrated by using three concrete spin systems, the one-dimensional (1D) symmetry-protected topological cluster state and the 2D and 3D toric code states with intrinsic topological orders. For all three cases, we show rigorously that the topological ground states can be represented by short-range neural networks in an exact and efficient fashion—the required number of hidden neurons is as small as the number of physical spins and the number of parameters scales only linearly with the system size. For the 2D toric-code model, we find that the proposed short-range neural networks can describe the excited states with Abelian anyons and their nontrivial mutual statistics as well. In addition, by using reinforcement learning we show that neural networks are capable of finding the topological ground states of nonintegrable Hamiltonians with strong interactions and studying their topological phase transitions. Our results demonstrate explicitly the exceptional power of neural networks in describing topological quantum states, and at the same time provide valuable guidance to machine learning of topological phases in generic lattice models.

Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning.

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Gönen, Mehmet

2014-03-01

Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. Following this line of research, in this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear binary classification for supervised multilabel learning and present a deterministic variational approximation algorithm to learn the proposed probabilistic model. We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. We perform supervised learning experiments on four benchmark multilabel learning data sets by comparing our method with baseline linear dimensionality reduction algorithms. These experiments show that the proposed approach achieves good performance values in terms of hamming loss, average AUC, macro F 1 , and micro F 1 on held-out test data. The low-dimensional embeddings obtained by our method are also very useful for exploratory data analysis. We also show the effectiveness of our approach in finding intrinsic subspace dimensionality and semi-supervised learning tasks.

Learning styles and strategies in the medicine students

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Nelson Torres García

2015-06-01

Full Text Available Much has been done and researched to find out learning strategies and styles in the last two decades. Dunn and Dunn ( 1975 focu sed on identifying relevant stimulus which could influence on the learning process and on the school environment ; approximately at the same time; Joseph Renzulli (1994 recommended a variety of learning strategies . The authors of this work intend to approa ch the didactic importance ascribed to the strategies and styles of learning in the educational learning process of medical students, as well as to show some of the strategies that these students adopt to facilitate the learning of contents among which Eng lish for Specific Purpose s is included.

Phonological learning in semantic dementia.

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Jefferies, Elizabeth; Bott, Samantha; Ehsan, Sheeba; Lambon Ralph, Matthew A

2011-04-01

Patients with semantic dementia (SD) have anterior temporal lobe (ATL) atrophy that gives rise to a highly selective deterioration of semantic knowledge. Despite pronounced anomia and poor comprehension of words and pictures, SD patients have well-formed, fluent speech and normal digit span. Given the intimate connection between phonological STM and word learning revealed by both neuropsychological and developmental studies, SD patients might be expected to show good acquisition of new phonological forms, even though their ability to map these onto meanings is impaired. In contradiction of these predictions, a limited amount of previous research has found poor learning of new phonological forms in SD. In a series of experiments, we examined whether SD patient, GE, could learn novel phonological sequences and, if so, under which circumstances. GE showed normal benefits of phonological knowledge in STM (i.e., normal phonotactic frequency and phonological similarity effects) but reduced support from semantic memory (i.e., poor immediate serial recall for semantically degraded words, characterised by frequent item errors). Next, we demonstrated normal learning of serial order information for repeated lists of single-digit number words using the Hebb paradigm: these items were well-understood allowing them to be repeated without frequent item errors. In contrast, patient GE showed little learning of nonsense syllable sequences using the same Hebb paradigm. Detailed analysis revealed that both GE and the controls showed a tendency to learn their own errors as opposed to the target items. Finally, we showed normal learning of phonological sequences for GE when he was prevented from repeating his errors. These findings confirm that the ATL atrophy in SD disrupts phonological processing for semantically degraded words but leaves the phonological architecture intact. Consequently, when item errors are minimised, phonological STM can support the acquisition of new phoneme

Self-directed learning readiness of Asian students: students perspective on a hybrid problem based learning curriculum.

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Leatemia, Lukas D; Susilo, Astrid P; van Berkel, Henk

2016-12-03

To identify the student's readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students' life styles, students' perceptions of the topics, and mood, were factors influencing their self-directed learning. A hybrid problem based curriculum may not fully affect the students' self-directed learning. The curriculum system, teacher's experiences, student's background and cultural factors might contribute to the difficulties for the student's in conducting self-directed learning.

Finding the key to successful L2 learning in groups and individuals

NARCIS (Netherlands)

Lowie, Wander; van Dijk, Marijn; Chan, HuiPing; Verspoor, Marjolijn

A large body studies into individual differences in second language learning has shown that success in second language learning is strongly affected by a set of relevant learner characteristics ranging from the age of onset to motivation, aptitude, and personality. Most studies have concentrated on

Facilitating Attitudinal Learning in an Animal Behaviour and Welfare MOOC

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Watson, Sunnie Lee

2017-01-01

This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed…

UTILIZATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN MATHEMATICS LEARNING

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Farzaneh Saadati

2014-07-01

Full Text Available Attention to integrate technology in teaching and learning has provided a major transformation in the landscape of education. Therefore, many innovations in teaching and learning have been technology-driven. The study attempted to examine what is engineering students’ perception regarding the use of Information and Communication Technologies (ICT in mathematics learning as well as investigate their opinion about how ICT can be integrated to improve teaching and learning processes. The subjects were Iranian engineering students from two universities. The finding showed they are fully aware of importance of ICT in teaching and learning mathematics. Whilst, they were feeling comfortable and confident with technology, they do not have more experience of using technology in mathematics classes before. The findings supported the other studies, which indicated the potentials of ICT to facilitate students’ learning, improve teaching, and enhance institutional administration as established in the literature.Keywords: Technology, Mathematics Learning, Facebook, Attitude Toward ICT DOI: http://dx.doi.org/10.22342/jme.5.2.1498.138-147

Memory and learning disturbances in multiple sclerosis

International Nuclear Information System (INIS)

Izquierdo, Guillermo; Mir, Jordi; Gonzalez, Manuel; Martinez-Parra, Carlos; Campoy, Francisco Jr

1991-01-01

Thirty-five patients with definite multiple sclerosis (MS) were studied. They underwent neuropsychological testing and magnetic resonance imaging (MRI). The MRI findings at different brain areas levels were compared with the neuropsychological findings. A quantitative system was used to measure MRI-MS lesions. In this series, a positive correlation was established between memory and learning disturbances measured by Battery 144, and the lesions measured by MRI (total, hemispheric and , particularly, periventricular lesions). MRI can detect MS lesions, and this study shows that a correlation between MRI and neuropsychological findings is possible if quantitative methods are used to distinguish different MS involvement areas in relation to neuropsychological tasks. These findings suggest that hemispheric lesions in MS produce cognitive disturbances and MRI could be a useful tool in predicting memory and learning impairment. (author). 20 refs.; 1 fig.; 2 tabs

EMOTIONS: FACTOR OF CHANGE IN LEARNING

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Sergio Zepeda-Hernández

2015-07-01

Full Text Available Daily, the teachers find negative attitudes in the classroom that hinder the interaction between students and teachers; therefore, the teaching learning process is negatively affected. We look for evidence with a quality research and ethnographic method, about how the inclusion of emotions in the didactics can generate a positive motivational factor of change in learning process. We show that the inclusion of a small feature of emotion can improve the motivation on students.

Assessment on Hybrid E-Learning Instrument

OpenAIRE

Intan Farahana Kamsin; Rosseni Din

2015-01-01

This study aims to improve Hybrid e-Learning 9.3. A total of 233 students of International Islamic University Malaysia, Gombak who have the experience in hybrid teaching and learning were involved as respondents. Rasch Measurement Model was used for this study. Validity analyses conducted were on (i) the compatibility of the items, (ii) mapping of items and respondents, (iii) scaling of instruments, and (iv) unidimentional items. The findings of the study show that (i) the items developed cor...

Do emergency medicine residents and faculty have similar learning styles when assessed with the Kolb learning style assessment tool?

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Fredette, Jenna; O'Brien, Corinne; Poole, Christy; Nomura, Jason

2015-04-01

Experiential learning theory and the Kolb Learning Style Inventory (Kolb LSI) have influenced educators worldwide for decades. Knowledge of learning styles can create efficient learning environments, increase information retention, and improve learner satisfaction. Learning styles have been examined in medicine previously, but not specifically with Emergency Medicine (EM) residents and attendings. Using the Kolb LSI, the learning styles of Emergency Medicine residents and attendings were assessed. The findings showed that the majority of EM residents and attendings shared the accommodating learning style. This result was different than prior studies that found the majority of medical professionals had a converging learning style and other studies that found attendings often have different learning styles than residents. The issue of learning styles among emergency medical residents and attendings is important because learning style knowledge may have an impact on how a residency program structures curriculum and how EM residents are successfully, efficiently, and creatively educated.

Comparing Efficiency of Web Based Learning Contents on Different Media

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Julija Lapuh Bele

2009-11-01

Full Text Available The purpose of the research was to find out what kind of multimedia learning materials gave the most efficient and effective results with regards to learning time and knowledge gained. Different web based learning materials were used as regards presentation mode: static pictures, animations with online text and animations with narrated text. Although the research results showed that learners from WBL contents with static graphics learnt less time than learners from animations, we did not find significant differences in learning time between experimental groups. However, we proved significant differences between three experimental groups in terms of gained knowledge. The learners using learning materials with static graphics performed worse than learners using materials with animations. Furthermore, we did not prove significant differences in gained knowledge between groups that learnt from audio animations and the animations with online text.

The Effect of Cooperative Learning Model and Kolb Learning Styles on Learning Result of the Basics of Politics

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Sugiharto

2015-01-01

The aims of this research were to determine the effect of cooperative learning model and learning styles on learning result. This quasi-experimental study employed a 2x2 treatment by level, involved independent variables, i.e. cooperative learning model and learning styles, and learning result as the dependent variable. Findings signify that: (1)…

The Influence of Problem Based Learning Model toward Students’ Activities and Learning Outcomes on Financial Management Subject

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Han Tantri Hardini

2016-12-01

Full Text Available This research aims to know the influence of problem based learning model toward students’ activities and achievement on Financial Management subject for undergraduate program students of Accounting Education. It was a quantitative research that used true experimental design. Samples of this study were undergraduate program students of Accounting Education in the year of 2014. Class A were control class and class B were experimental class. Data were analyzed by using t-test in order to determine the differences of learning outcomes between control class and experimental class. Then, questionnaires were distributed to gather students’ activities information in their students’ learning model. Findings show that there is an influence of Problem Based Learning model toward students’ activities and learning outcomes on Financial Management subject for undergraduate program students of Accounting Education since t-count ≥ t-table. It is 6.120 ≥ 1.9904. Students’ learning activities with Problem Based Learning model are better than students who are taught by conventional learning model.

Effects of case-based learning on communication skills, problem-solving ability, and learning motivation in nursing students.

Science.gov (United States)

Yoo, Moon-Sook; Park, Hyung-Ran

2015-06-01

The purpose of this study was to explore the effects of case-based learning on communication skills, problem-solving ability, and learning motivation in sophomore nursing students. In this prospective, quasi-experimental study, we compared the pretest and post-test scores of an experimental group and a nonequivalent, nonsynchronized control group. Both groups were selected using convenience sampling, and consisted of students enrolled in a health communication course in the fall semesters of 2011 (control group) and 2012 (experimental group) at a nursing college in Suwon, South Korea. The two courses covered the same material, but in 2011 the course was lecture-based, while in 2012, lectures were replaced by case-based learning comprising five authentic cases of patient-nurse communication. At post-test, the case-based learning group showed significantly greater communication skills, problem-solving ability, and learning motivation than the lecture-based learning group. This finding suggests that case-based learning is an effective learning and teaching method. © 2014 Wiley Publishing Asia Pty Ltd.

Interprofessional service-learning in a community setting: findings from a pilot study.

Science.gov (United States)

Buff, Scotty M; Jenkins, Kelli; Kern, Donna; Worrall, Cathy; Howell, David; Martin, Kelley; Brown, Debora; White, Andrea; Blue, Amy

2015-03-01

Interprofessional education is becoming more popular in higher education and service-learning has been a successful method to facilitate experiences that foster teamwork between professions. This report shares the results from an interprofessional service-learning project (ISLP) targeting students across eight disciplines (physician assistant, medicine, pharmacy, dietetic internship, physical therapy, master in health administration, nursing and biomedical science). The project used an existing resource, the South Carolina Area Health Education Consortium (SC-AHEC), to coordinate student learning across multiple regions and an established health promotion program curriculum for student outreach content. Participating students (n = 149) were evaluated to determine how the activity affected student appreciation and knowledge of their own and other professions, their interaction with other professional students, and student teamwork skills. Students found the most value in learning with students from other professions as part of the activity with lesser value placed on students increasing their knowledge about their profession's role in interprofessional work.

Gaming mindsets: implicit theories in serious game learning.

Science.gov (United States)

Lee, Yu-Hao; Heeter, Carrie; Magerko, Brian; Medler, Ben

2012-04-01

Individuals' beliefs about the malleability of their abilities may predict their response and outcome in learning from serious games. Individuals with growth mindsets believe their abilities can develop with practice and effort, whereas individuals with fixed mindsets believe their abilities are static and cannot improve. This study uses survey and gameplay server data to examine the implicit theory of intelligence in the context of serious game learning. The findings show that growth mindset players performed better than fixed mindset players, their mistakes did not affect their attention to the game, and they read more learning feedback than fixed mindset players. In addition, growth mindset players were more likely to actively seek difficult challenges, which is often essential to self-directed learning. General mindset measurements and domain-specific measurements were also compared. These findings suggest that players' psychological attributes should be considered when designing and applying serious games.

Negative affect reduces performance in implicit sequence learning.

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Junchen Shang

Full Text Available BACKGROUND: It is well documented that positive rather than negative moods encourage integrative processing of conscious information. However, the extent to which implicit or unconscious learning can be influenced by affective states remains unclear. METHODOLOGY/PRINCIPAL FINDINGS: A Serial Reaction Time (SRT task with sequence structures requiring integration over past trials was adopted to examine the effect of affective states on implicit learning. Music was used to induce and maintain positive and negative affective states. The present study showed that participants in negative rather than positive states learned less of the regularity. Moreover, the knowledge was shown by a Bayesian analysis to be largely unconscious as participants were poor at recognizing the regularity. CONCLUSIONS/SIGNIFICANCE: The results demonstrated that negative rather than positive affect inhibited implicit learning of complex structures. Our findings help to understand the effects of affective states on unconscious or implicit processing.

Domesticating Digital Game-based Learning

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Helga Dís Sigurdardottir

2016-07-01

Full Text Available This paper analyses the use of digital game-based learning (DGBL in schools in Norway. It investigates the types of games used in Norwegian schools and how pupils experience that practice. Digital game-based learning is being widely employed throughout Norway as a result of the increased focus on digital skills in Norwegian education. This paper analyses that development by way of focus group interviews with a total of sixty-four pupils at four schools. Drawing upon domestication and actor-network theory, the paper provides a novel approach to the study of DGBL. The broad empirical investigation into DGBL practices furthermore provides a contribution to scholarly literature on the subject. A noteworthy finding of this study is the diversity of games employed in schools—around 30 different titles— indicating that the choice of games lies at the discretion of individual teachers. Findings from this research show that the domestication of digital game-based learning occurs through the construction of complex game-based learning assemblages. This includes the classroom and home as gaming sites, group work and individual assignments as practices, and PCs and iPads as platforms.

The Effects of Multimedia and Learning Style on Student Achievement in Online Electronics Course

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Surjono, Herman Dwi

2015-01-01

This experimental study investigated the effects of multimedia preferences and learning styles on undergraduate student achievement in an adaptive e-learning system for electronics course at the Yogyakarta State University Indonesia. The findings showed that students in which their multimedia preferences and learning style matched with the way the…

Unanticipated Effects of Children with Learning Disabilities on Their Families

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Dyson, Lily

2010-01-01

This study examined the unanticipated effects that children with learning disabilities have on the life of their families. Eleven parents of students aged 8 to 16 years old participated in two separate focus group interviews. Findings showed that children with learning disabilities had a range of effects on their families. These included family…

Does Service-Learning Increase Student Learning?: A Meta-Analysis

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Warren, Jami L.

2012-01-01

Research studies reflect mixed results on whether or not service-learning increases student learning outcomes. The current study seeks to reconcile these findings by extending a meta-analysis conducted by Novak, Markey, and Allen (2007) in which these authors examined service-learning and student learning outcomes. In the current study, 11…

Use of e-Learning for Stress management – Multi-group moderation analysis

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Aamir Sarwar

2016-12-01

Full Text Available The goal of this study is to find out the moderating role of type of industry and different levels of management with respect to eLearning perception, eLearning advantages and use of eLearning for Stress Management. Study tried to find out relationship between perceptions of eLearning, eLearning Advantages, perception of using eLearning for corporate training and more specifically for stress management. A cross sectional survey is conducted through structured questionnaire to collect the data from 686 managers working at different levels including 331 from manufacturing sector and 355 from services sector. Results of the study show positive relationship between perception of eLearning and eLearning for stress management and this relationship is significantly stronger for services industry. Positive relationship between eLearning advantages and eLearning for stress management and this relationship is significantly stronger for manufacturing industry. Study also revealed that positive relationship between eLearning perception and eLearning for stress management and this relationship is not significantly stronger for senior management than for middle management.

Numbered head together with scientific approach in geometry learning

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Indarti, Dwi; Mardiyana; Pramudya, Ikrar

2017-12-01

The aim of this research was to find out the influence of learning model implementation toward student’s achievement in mathematics. This research was using quasi-experimental research. The population of the research was all of 7th grade students in Karanganyar. Sample was taken using stratified cluster random sampling technique. The data collection has been conducted based on students’ mathematics achievement test. The results from the data analysis showed that the learning mathematics by using Numbered Head Together (NHT) learning model with scientific approach improved student’s achievement in mathematics rather than direct learning model particularly in learning object of quadrilateral. Implementation of NHT learning model with scientific approach could be used by the teachers in teaching and learning, particularly in learning object of quadrilateral.

Finding the Key to Successful L2 Learning in Groups and Individuals

Science.gov (United States)

Lowie, Wander; van Dijk, Marijn; Chan, Huiping; Verspoor, Marjolijn

2017-01-01

A large body studies into individual differences in second language learning has shown that success in second language learning is strongly affected by a set of relevant learner characteristics ranging from the age of onset to motivation, aptitude, and personality. Most studies have concentrated on a limited number of learner characteristics and…

Finding the Right Fit: Helping Students Apply Theory to Service-Learning Contexts

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Ricke, Audrey

2018-01-01

Background: Although past studies of service-learning focus on assessing student growth, few studies address how to support students in applying theory to their service-learning experiences. Yet, the task of applying theory is a central component of critical reflections within the social sciences in higher education and often causes anxiety among…

Finding Connections: Using Accounting Concepts in a Career Planning Class

Science.gov (United States)

Wang, Michelle

2013-01-01

In higher education, the most common challenge for students is the ability to find a connection between one subject that they have learned and another subject. Thus, students' learning becomes compartmentalized and piecemeal. For instance, accounting students may find attending a drawing class boring and a waste of time. Science students may…

Rapid learning in visual cortical networks.

Science.gov (United States)

Wang, Ye; Dragoi, Valentin

2015-08-26

Although changes in brain activity during learning have been extensively examined at the single neuron level, the coding strategies employed by cell populations remain mysterious. We examined cell populations in macaque area V4 during a rapid form of perceptual learning that emerges within tens of minutes. Multiple single units and LFP responses were recorded as monkeys improved their performance in an image discrimination task. We show that the increase in behavioral performance during learning is predicted by a tight coordination of spike timing with local population activity. More spike-LFP theta synchronization is correlated with higher learning performance, while high-frequency synchronization is unrelated with changes in performance, but these changes were absent once learning had stabilized and stimuli became familiar, or in the absence of learning. These findings reveal a novel mechanism of plasticity in visual cortex by which elevated low-frequency synchronization between individual neurons and local population activity accompanies the improvement in performance during learning.

Effects of aging on strategic-based visuomotor learning.

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Alfonso Uresti-Cabrera, Luis; Vaca-Palomares, Israel; Diaz, Rosalinda; Beltran-Parrazal, Luis; Fernandez-Ruiz, Juan

2015-08-27

There are different kinds of visuomotor learnings. One of the most studied is error-based learning where the information about the sign and magnitude of the error is used to update the motor commands. However, there are other instances where subjects show visuomotor learning even if the use of error sign and magnitude information is precluded. In those instances subjects could be using strategic instead of procedural adaptation mechanisms. Here, we present the results of the effect of aging on visuomotor strategic learning under a reversed error feedback condition, and its contrast with procedural visuomotor learning within the same participants. A number of measures were obtained from a task consisting of throwing clay balls to a target before, during and after wearing lateral displacing or reversing prisms. The displacing prism results show an age dependent decrease on the learning rate that corroborates previous findings. The reversing prism results also show significant adaptation impairment in the aged population. However, decreased reversing learning in the older group was the result of an increase in the number of subjects that could not adapt to the reversing prism, and not on a reduction of the learning capacity of all the individuals of the group. These results suggest a significant deleterious effect of aging on visuomotor strategic learning implementation. Copyright © 2015 Elsevier B.V. All rights reserved.

Invention activities as preparation for learning laboratory data handling skills

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Day, James

2012-10-01

Undergraduate physics laboratories are often driven by a mix of goals, and usually enough of them to cause cognitive overload for the student. Our recent findings align well with studies indicating that students often exit a physics lab without having properly learned how to handle real data. The value of having students explore the underlying structure of a problem before being able to solve it has been shown as an effective way to ready students for learning. Borrowing on findings from the fields of education and cognitive psychology, we use ``invention activities'' to precede direct instruction and bolster learning. In this talk I will show some of what we have learned about students' data handling skills, explain how an invention activity works, and share some observations of successful transfer.

Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management (Mediating Role of eLearning for Corporate Training

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Aamir Sarwar

2015-08-01

Full Text Available The objective of the study was to develop a model with and without the mediator comparing direct and indirect Impacts using Bootstrap (Two tailed significance results to be used, options for manufacturing, services sectors and overall and finding out the significance of the relationship. Study tried to find out the Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management with eLearning for Corporate Training as a mediator. This is a cross sectional study conducted in Pakistan. Detailed questionnaire was used to collect the data. Total sample size of 686 includes 331 from manufacturing sector and 355 from services sector. Study revealed that overall eLearning for corporate training partially mediates relationship between eLearning Perception and elearning for stress management. However, in subgroup of manufacturing sector full mediation is observed. eLearning for corporate training partially mediates relationship between eLearning Advantages and Stress management training. Similar partial mediation is observed for subgroups of manufacturing and services sector. However in subgroup of manufacturing sector no mediation was observed.

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Science.gov (United States)

Zheng, Jiaping; Yu, Hong

2016-01-01

Background Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients’ notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. Objective We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. Methods First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians’ agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Results Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen’s kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term

Education and Training for Young People at Risk of Becoming NEET: Findings from an Ethnographic Study of Work-Based Learning Programmes

Science.gov (United States)

Simmons, Robin; Thompson, Ron

2011-01-01

This report provides a summary of findings from an ethnographic study of work-based learning provision for 16-18-year-olds who would otherwise fall into the UK Government category of not in education, employment or training (NEET). The research project took place in the north of England during 2008-2009, and investigated the biographies,…

Children with Motor Impairments Play a Kinect Learning Game: First Findings from a Pilot Case in an Authentic Classroom Environment

Directory of Open Access Journals (Sweden)

Symeon Retalis

2014-02-01

Full Text Available This paper presents the first very positive findings from an empirical study about the effectiveness of the use of a Kinect learning game for children with gross motor skills problems and motor impairments. This game follows the principles of a newly presented approach, called Kinems, which advocates that special educators and therapists should use learning games that via embodied touchless interaction – thanks to the Microsoft Kinect camera- children with dyspraxia and other related disorders such as autism, Asperger's Syndrome, and Attention Deficit Disorder, can improve related skills. Several Kinems games have been proposed (http://www.kinems.com. These games are innovative and are played with hand and body gestures. Kinems suggests that games should be highly configurable so that a teacher can modify the settings (e.g. difficult level, time settings, etc. for the individual needs of each child. Also, a teacher should have access to kinetic and learning analytics of the child’s interaction progress and achievements should be safely stored and vividly presented.

Investigating Students' Perceptions on Mobile Learning Services

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Mohammed Amin Almaiah

2014-10-01

Full Text Available M-learning is a form of learning, which has similarities and differences with the electronic learning (e-learning. It is mainly based on the use of the mobile wireless technologies that allow for learners to easily access learning materials anytime he desires and anywhere, whether on campus or off campus. Therefore, this creates a new flexible learning environment in the context of different learning settings. Students' perception of such technology is one of the most important factors for successful adoption of m-learning in the higher education environment. This study is conducted to investigate the perceptions of students in University Malaysia Terengganu (UMT to move towards applying m-learning in their studies by using their mobile devices and to explore their expectations on mobile learning services. A total number of 91 undergraduate students majoring in computer science participated in the study. The findings show that the students have positive perception towards mobile learning and would like to use their mobile devices for both learning and administrative services.

Multi-agent system for Knowledge-based recommendation of Learning Objects

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Paula Andrea RODRÍGUEZ MARÍN

2015-12-01

Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

Pedagogical Techniques Employed by the Television Show "MythBusters"

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Zavrel, Erik

2016-11-01

"MythBusters," the long-running though recently discontinued Discovery Channel science entertainment television program, has proven itself to be far more than just a highly rated show. While its focus is on entertainment, the show employs an array of pedagogical techniques to communicate scientific concepts to its audience. These techniques include: achieving active learning, avoiding jargon, employing repetition to ensure comprehension, using captivating demonstrations, cultivating an enthusiastic disposition, and increasing intrinsic motivation to learn. In this content analysis, episodes from the show's 10-year history were examined for these techniques. "MythBusters" represents an untapped source of pedagogical techniques, which science educators may consider availing themselves of in their tireless effort to better reach their students. Physics educators in particular may look to "MythBusters" for inspiration and guidance in how to incorporate these techniques into their own teaching and help their students in the learning process.

Undergraduate paramedic students' attitudes to e-learning: findings from five university programs

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Graham Munro

2011-12-01

Full Text Available Computers and computer-assisted instruction are being used with increasing frequency in the area of undergraduate paramedic education. Paramedic students' attitudes towards the use of e-learning technology and computer-assisted instruction have received limited attention in the empirical literature to date. The objective of this study was to determine paramedic students' attitudes towards e-learning. A cross-sectional methodology was used in the form of a paperbased survey to elicit students' attitudes to e-learning using three standardised scales. Convenience sampling was used to sample a cross-section of paramedic students at five universities during semester 1 of 2009. The scales used were: the Computer Attitude Survey (CAS, the Online Learning Environment Survey (OLES, and the Attitude Toward CAI Semantic Differential Scale (ATCAISDS. There were 339 students who participated. Approximately onehalf (57.7% were female and most (76.0% were under 24 years of age. Moderate results were noted for the CAS general and education subscales. The CAS results were broadly corroborated by the OLES, although a statistically significant difference between participants preferred and actual results on the OLES Computer Usage subscale identified that participants would prefer to use computers less than they actually do. Similarly, the ATCAISDS found participants were largely ambivalent towards computers. As paramedic degree programs continue to emerge and develop, careful consideration should be given to the usability and utility of various e-learning approaches.

Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions.

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Reavis, Eric A; Frank, Sebastian M; Tse, Peter U

2015-04-15

Useful information in the visual environment is often contained in specific conjunctions of visual features (e.g., color and shape). The ability to quickly and accurately process such conjunctions can be learned. However, the neural mechanisms responsible for such learning remain largely unknown. It has been suggested that some forms of visual learning might involve the dopaminergic neuromodulatory system (Roelfsema et al., 2010; Seitz and Watanabe, 2005), but this hypothesis has not yet been directly tested. Here we test the hypothesis that learning visual feature conjunctions involves the dopaminergic system, using functional neuroimaging, genetic assays, and behavioral testing techniques. We use a correlative approach to evaluate potential associations between individual differences in visual feature conjunction learning rate and individual differences in dopaminergic function as indexed by neuroimaging and genetic markers. We find a significant correlation between activity in the caudate nucleus (a component of the dopaminergic system connected to visual areas of the brain) and visual feature conjunction learning rate. Specifically, individuals who showed a larger difference in activity between positive and negative feedback on an unrelated cognitive task, indicative of a more reactive dopaminergic system, learned visual feature conjunctions more quickly than those who showed a smaller activity difference. This finding supports the hypothesis that the dopaminergic system is involved in visual learning, and suggests that visual feature conjunction learning could be closely related to associative learning. However, no significant, reliable correlations were found between feature conjunction learning and genotype or dopaminergic activity in any other regions of interest. Copyright © 2015 Elsevier Inc. All rights reserved.

Modelling unsupervised online-learning of artificial grammars: linking implicit and statistical learning.

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Rohrmeier, Martin A; Cross, Ian

2014-07-01

Humans rapidly learn complex structures in various domains. Findings of above-chance performance of some untrained control groups in artificial grammar learning studies raise questions about the extent to which learning can occur in an untrained, unsupervised testing situation with both correct and incorrect structures. The plausibility of unsupervised online-learning effects was modelled with n-gram, chunking and simple recurrent network models. A novel evaluation framework was applied, which alternates forced binary grammaticality judgments and subsequent learning of the same stimulus. Our results indicate a strong online learning effect for n-gram and chunking models and a weaker effect for simple recurrent network models. Such findings suggest that online learning is a plausible effect of statistical chunk learning that is possible when ungrammatical sequences contain a large proportion of grammatical chunks. Such common effects of continuous statistical learning may underlie statistical and implicit learning paradigms and raise implications for study design and testing methodologies. Copyright © 2014 Elsevier Inc. All rights reserved.

Teaching and Learning Immersion and Presence

DEFF Research Database (Denmark)

Herbelin, Bruno; Ciger, Jan

2008-01-01

It is known since Socrates that people learn better by experiencing a problem by themselves and by finding a (the) solution(s) by their own. It is however not always possible to offer such freedom to students when teaching the concepts of immersion and presence in virtual environments due......-presence, and observe the inherent problems liked to  communication, field of view, or latency issues. The test performed shows that such experimentation have positive pedagogical impacts, both from the learning and students motivation perspectives....

PENINGKATAN KUALITAS PEMBELAJARAN STUDI KELAYAKAN BISNIS MELALUI METODE LEARNING CYCLE

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Syamsu Hadi

2011-05-01

Full Text Available The objectives of the study are to improve the quality of learning for Studi Kelayakan Bisnis (Business Feasibility Study, to improve students’ spirit in learning, to improve lecturers’ skill in developing learning model and media and  also to improve students’ achievement in learning. This study was class action research consists of three cycles. Result of study showed students’ achievement was improving on each cycle. Students’ learning completeness before applying Learning Cycle method was 0%, after applying Learning Cycle method; students’ achievement after final test was 94%. Students’ interest, activeness and relationship in learning process with range 1-4, the result was good (3.2. Result of observation related to lecturers’ skill in managing the learning process which used map concept method with range 1-4 showed a good result with average of cycle 1, cycle 2 and cycle 3 was 3.2. That score was the average of all aspects investigated on three cycles. Based on result of study, it was suggested that for lecturers of Business Feasibility Study subject to apply Learning Cycle method in teaching-learning process. This method was approved to improve students’ ability to analyze the case and understand the concepts of Business Feasibility Study. This was because students are given opportunity to do research in the field related to the topic and then find the problems that will be discussed in the class. Thus, students are usual to think critically and analytically to face a case. And finally, students can find the topics concepts. Moreover, result of study can be applied for other subjects because this study gives the positive impact. Key words: The Quality of Learning, Business Feasibility Study Subject, LearningCycle Method

Introduction to Psychology Students' Parental Status Predicts Learning Preferences and Life Meaning

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Lovell, Elyse D'nn; Munn, Nathan

2017-01-01

This study explores Introduction to Psychology students' learning preferences and their personal search for meaning while considering their parental status. The findings suggest that parents show preferences for project-based learning and have lower levels of searching for meaning than non-parents. When parental status, age, and finances were…

Research on Language Learning Strategies: Methods, Findings, and Instructional Issues.

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Oxford, Rebecca; Crookall, David

1989-01-01

Surveys research on formal and informal second-language learning strategies, covering the effectiveness of research methods involving making lists, interviews and thinking aloud, note-taking, diaries, surveys, and training. Suggestions for future and improved research are presented. (131 references) (CB)

The MVP Model as an Organizing Framework for Neuroscience Findings Related to Learning

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Zakrajsek, Todd M.

2017-01-01

This chapter describes the ways in which the MVP model relates to recent research on neuroscience and learning, and demonstrates how those relationships may be used to better understand physiological impacts on motivation, and to facilitate improved learning.

Neuropsychology of Reward Learning and Negative Symptoms in Schizophrenia

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Nestor, Paul G.; Choate, Victoria; Niznikiewicz, Margaret; Levitt, James J.; Shenton, Martha E; McCarley, Robert W.

2014-01-01

We used the Iowa Gambling Test (IGT) to examine the relationship of reward learning to both neuropsychological functioning and symptom formation in 65 individuals with schizophrenia. Results indicated that compared to controls, participants with schizophrenia showed significantly reduced reward learning, which in turn correlated with reduced intelligence, memory and executive function, and increased negative symptoms. The current findings suggested that a disease-related disturbance in reward...

Seeing the Errors You Feel Enhances Locomotor Performance but Not Learning.

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Roemmich, Ryan T; Long, Andrew W; Bastian, Amy J

2016-10-24

In human motor learning, it is thought that the more information we have about our errors, the faster we learn. Here, we show that additional error information can lead to improved motor performance without any concomitant improvement in learning. We studied split-belt treadmill walking that drives people to learn a new gait pattern using sensory prediction errors detected by proprioceptive feedback. When we also provided visual error feedback, participants acquired the new walking pattern far more rapidly and showed accelerated restoration of the normal walking pattern during washout. However, when the visual error feedback was removed during either learning or washout, errors reappeared with performance immediately returning to the level expected based on proprioceptive learning alone. These findings support a model with two mechanisms: a dual-rate adaptation process that learns invariantly from sensory prediction error detected by proprioception and a visual-feedback-dependent process that monitors learning and corrects residual errors but shows no learning itself. We show that our voluntary correction model accurately predicted behavior in multiple situations where visual feedback was used to change acquisition of new walking patterns while the underlying learning was unaffected. The computational and behavioral framework proposed here suggests that parallel learning and error correction systems allow us to rapidly satisfy task demands without necessarily committing to learning, as the relative permanence of learning may be inappropriate or inefficient when facing environments that are liable to change. Copyright © 2016 Elsevier Ltd. All rights reserved.

Managing Learning for Performance.

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Kuchinke, K. Peter

1995-01-01

Presents findings of organizational learning literature that could substantiate claims of learning organization proponents. Examines four learning processes and their contribution to performance-based learning management: knowledge acquisition, information distribution, information interpretation, and organizational memory. (SK)

A Study on the Role of Drama in Learning Mathematics

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Elahe Masoum

2013-08-01

Full Text Available Present educational systems needs modern strategies for teaching and learning. Mathematics education has to change for students in elementary schools. One of the modern strategies, it is drama activities. The drama is as empirical aspect of learning. The student may learn from what they are doing in drama. They are so active instead having a passive shape in drama, in fact, students are learning, finding experiences and new paths from drama as well. The students could find its capabilities, recommendations and strength-weakness points through the different drama. This study is looking to investigate the role of drama so that have a better understanding of mathematical concepts in Zahedan's girly elementary students (2011-12. This research is used on 36 three grade students through quasi-experiment method. The emerging results clearly showed that using drama in mathematics education has been better results against the traditional teaching. Then it seems that cited method is suitable for elementary students to learn mathematical concepts.

Rats socially-reared and full fed learned an autoshaping task, showing less levels of fear-like behaviour than fasted or singly-reared rats.

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Molina-Hernández, Miguel; Téllez-Alcántara, N Patricia

2004-07-01

During the learning of instrumental tasks, rats are usually fasted to increase reinforced learning. However, fasting produces several undesirable side effects. The aim of this study was to test the hypothesis that control rats, i.e. full-fed and group-reared rats, will learn an autoshaping task to the same level as fasted or singly-reared rats. The interaction between fasting and single-rearing of rats was also tested. Results showed that control rats and fasted rats acquired the autoshaping task similarly, independently of rearing condition or gender. However, fasted or singly-reared rats produced fear-like behaviour, since male rats group-reared and fasted (85% body/wt, P autoshaping task to the same level as fasted or singly-reared rats. However, fasting or single-rearing produced fear-like behaviour. Thus, the training of control rats in autoshaping tasks may be an option that improves animal welfare.

Semantic Maps Capturing Organization Knowledge in e-Learning

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Mavridis, Androklis; Koumpis, Adamantios; Demetriadis, Stavros N.

e-learning, shows much promise in accessibility and opportunity to learn, due to its asynchronous nature and its ability to transmit knowledge fast and effectively. However without a universal standard for online learning and teaching, many systems are proclaimed as “e-learning-compliant”, offering nothing more than automated services for delivering courses online, providing no additional enhancement to reusability and learner personalization. Hence, the focus is not on providing reusable and learner-centered content, but on developing the technology aspects of e-learning. This current trend has made it crucial to find a more refined definition of what constitutes knowledge in the e-learning context. We propose an e-learning system architecture that makes use of a knowledge model to facilitate continuous dialogue and inquiry-based knowledge learning, by exploiting the full benefits of the semantic web as a medium capable for supplying the web with formalized knowledge.

Unilateral implicit motor learning deficit in developmental dyslexia.

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Yang, Yang; Hong-Yan, Bi

2011-02-01

It has been suggested that developmental dyslexia involves various literacy, sensory, motor skill, and processing speed deficits. Some recent studies have shown that individuals with developmental dyslexia exhibit implicit motor learning deficits, which may be related to cerebellar functioning. However, previous studies on implicit motor learning in developmental dyslexics have produced conflicting results. Findings from cerebellar lesion patients have shown that patients' implicit motor learning performance varied when different hands were used to complete tasks. This suggests that dyslexia may have different effects on implicit motor learning between the two hands if cerebellar dysfunction is involved. To specify this question, we used a one-handed version of a serial reaction time task to compare the performance of 27 Chinese children with developmental dyslexics with another 27 age-matched children without reading difficulties. All the subjects were students from two primary schools, Grades 4 to 6. The results showed that children with developmental dyslexic responded more slowly than nondyslexic children, and exhibited no implicit motor learning in the condition of left-hand response. In contrast, there was no significant difference in reaction time between two groups of children when they used the right hand to respond. This finding indicates that children with developmental dyslexia exhibited normal motor skill and implicit motor learning ability provided the right hand was used. Taken together, these results suggested that Chinese children with developmental dyslexia exhibit unilateral deficits in motor skill and implicit motor learning in the left hand. Our findings lend partial support to the cerebellar deficit theory of developmental dyslexia.

The study of selective property of college student’s learning space

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Nagai, Mizuki; Matsumoto, Yuji; Naka, Ryusuke

2018-05-01

These days, college students study not only at places designed for learning such as libraries in colleges, but also cafes in downtown while the number of facilities for learning run by colleges is increasing. Then I have researched facilities in college and those in downtown to find selective properties of college students’ learning space. First, I found by questionnaire survey that students chose “3rd place” such as cafes and fast food shops, second to their houses and libraries in college. Next, I found “psychological factor” were also affected their choice. Furthermore, they studied different subjects at different places. In experiments, I researched how effectively they studied each subject at every place. The results show that I find that places you like and places where learning efficiency is good are different. They learned the least effective at “3d place” regardless of what they learned. The result of how long they kept high-level intellectual activity at each place shows that they could work on the study with more motivation at their favorite place and 3rd place. On the other hand, at the 2nd place, they could study rather effectively, but could not keep concentration and motivation for a long time. In this way, college students have 2 patterns of choosing learning space.

Can E-Portfolio Improve Students’ Readiness to Find an IT Career?

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Abdallah Tubaishat

2015-06-01

Full Text Available An E-Portfolio Assessment Management System (EAMS can be an innovative tool that provides students with flexible opportunities to demonstrate the acquisition of skills and abilities in an outcome-based institution. The system has been developed and used for the past ten years to create, reflect, revise, and structure students’ work. It is a repository management system that facilitates collecting, sharing, and presenting artifacts of student learning outcomes via a digital medium. Therefore, it provides students with flexible opportunities to demonstrate the acquisition of skills and abilities to demonstrate growth of achieving learning outcomes. The rationale of the EAMS is to allow students to demonstrate competences and reflect upon experiences to improve their learning and career readiness; hence, they are accountable for their learning. The system was built around two defined set of learning outcomes: institutionally agreed upon set of learning outcomes, and learning objectives that are related to major requirements. The purpose of this study is to analyze students’ perceptions and attitudes when using an e-portfolio to support their employment opportunities. The participants were 217 students in the College of Technological Innovation. The students reported that the developing of e-portfolios was extremely helpful. The results showed that students have positive opinions about using e-portfolios as a beneficial tool to support their readiness for employment; they believe an e-portfolio increases their confidence to find a job in the IT field because it can allow them to showcase artifacts that demonstrate competencies and reflect upon experiences, and they can provide their supervisors during their industrial training with an e-resume that includes views of their actual work of what they have learned and are able to do when they complete their degree. Employers then can review e-portfolios to select prospective employees work readiness

Finding Support Online: Parents are Finding Comfort and Support in Virtual Hugs

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Miller, Janice

2006-01-01

When Tamara learned that she and her husband were expecting a baby girl, Tamara remembers the doctor telling her "the odds were high" her daughter would inherit her bipolar disorder. As it turned out, her daughter, Lindsay was also formally diagnosed with bipolar disorder after her 11th birthday. Tamara turned to Internet to find someone who…

Cognitive Developmental Level Gender, and the Development of Learned Helplessness on Mathematical Calculation and Reasoning Tasks.

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Monaco, Nanci M.; Gentile, J. Ronald

1987-01-01

This study was designed to test whether a learned helplessness treatment would decrease performance on mathematical tasks and to extend learned helplessness findings to include the cognitive development dimension. Results showed no differential advantages to either sex in resisting effects of learned helplessness or in benefiting from strategy…

Learning organisations: the challenge of finding a safe space in a climate of accountability.

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McKee, Anne

2017-03-01

The effects of health policy reforms over a twenty-five year period have changed the NHS as a place in which to work and learn. Some of these changes have had unintentional consequences for learning in the workplace. A recent King's Fund contribution to quality improvement debates included an extensive review of NHS policies encouraging change 'from within' the NHS and renewed calls to develop learning organisations there. I draw upon an action research project designed to develop learning organisations in primary care to locate quality improvement debates amid the realities of practice. The project identified key challenges primary care practices encountered to protect time and space for this form of work based learning, even when they recognised the need for it and wanted to engage in it. Implications for policy makers, primary care practices and health professional educationalists are identified.

Robot Competence Development by Constructive Learning

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Meng, Q.; Lee, M. H.; Hinde, C. J.

This paper presents a constructive learning approach for developing sensor-motor mapping in autonomous systems. The system’s adaptation to environment changes is discussed and three methods are proposed to deal with long term and short term changes. The proposed constructive learning allows autonomous systems to develop network topology and adjust network parameters. The approach is supported by findings from psychology and neuroscience especially during infants cognitive development at early stages. A growing radial basis function network is introduced as a computational substrate for sensory-motor mapping learning. Experiments are conducted on a robot eye/hand coordination testbed and results show the incremental development of sensory-motor mapping and its adaptation to changes such as in tool-use.

Positivity effect in healthy aging in observational but not active feedback-learning.

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Bellebaum, Christian; Rustemeier, Martina; Daum, Irene

2012-01-01

The present study investigated the impact of healthy aging on the bias to learn from positive or negative performance feedback in observational and active feedback learning. In active learning, a previous study had already shown a negative learning bias in healthy seniors older than 75 years, while no bias was found for younger seniors. However, healthy aging is accompanied by a 'positivity effect', a tendency to primarily attend to stimuli with positive valence. Based on recent findings of dissociable neural mechanisms in active and observational feedback learning, the positivity effect was hypothesized to influence older participants' observational feedback learning in particular. In two separate experiments, groups of young (mean age 27) and older participants (mean age 60 years) completed an observational or active learning task designed to differentially assess positive and negative learning. Older but not younger observational learners showed a significant bias to learn better from positive than negative feedback. In accordance with previous findings, no bias was found for active learning. This pattern of results is discussed in terms of differences in the neural underpinnings of active and observational learning from performance feedback.

Finding the optimal Bayesian network given a constraint graph

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Jacob M. Schreiber

2017-07-01

Full Text Available Despite recent algorithmic improvements, learning the optimal structure of a Bayesian network from data is typically infeasible past a few dozen variables. Fortunately, domain knowledge can frequently be exploited to achieve dramatic computational savings, and in many cases domain knowledge can even make structure learning tractable. Several methods have previously been described for representing this type of structural prior knowledge, including global orderings, super-structures, and constraint rules. While super-structures and constraint rules are flexible in terms of what prior knowledge they can encode, they achieve savings in memory and computational time simply by avoiding considering invalid graphs. We introduce the concept of a “constraint graph” as an intuitive method for incorporating rich prior knowledge into the structure learning task. We describe how this graph can be used to reduce the memory cost and computational time required to find the optimal graph subject to the encoded constraints, beyond merely eliminating invalid graphs. In particular, we show that a constraint graph can break the structure learning task into independent subproblems even in the presence of cyclic prior knowledge. These subproblems are well suited to being solved in parallel on a single machine or distributed across many machines without excessive communication cost.

Specific learning disorder: prevalence and gender differences.

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Kristina Moll

Full Text Available Comprehensive models of learning disorders have to consider both isolated learning disorders that affect one learning domain only, as well as comorbidity between learning disorders. However, empirical evidence on comorbidity rates including all three learning disorders as defined by DSM-5 (deficits in reading, writing, and mathematics is scarce. The current study assessed prevalence rates and gender ratios for isolated as well as comorbid learning disorders in a representative sample of 1633 German speaking children in 3rd and 4th Grade. Prevalence rates were analysed for isolated as well as combined learning disorders and for different deficit criteria, including a criterion for normal performance. Comorbid learning disorders occurred as frequently as isolated learning disorders, even when stricter cutoff criteria were applied. The relative proportion of isolated and combined disorders did not change when including a criterion for normal performance. Reading and spelling deficits differed with respect to their association with arithmetic problems: Deficits in arithmetic co-occurred more often with deficits in spelling than with deficits in reading. In addition, comorbidity rates for arithmetic and reading decreased when applying stricter deficit criteria, but stayed high for arithmetic and spelling irrespective of the chosen deficit criterion. These findings suggest that the processes underlying the relationship between arithmetic and reading might differ from those underlying the relationship between arithmetic and spelling. With respect to gender ratios, more boys than girls showed spelling deficits, while more girls were impaired in arithmetic. No gender differences were observed for isolated reading problems and for the combination of all three learning disorders. Implications of these findings for assessment and intervention of learning disorders are discussed.

Cooperative learning in industrial-sized biology classes.

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Armstrong, Norris; Chang, Shu-Mei; Brickman, Marguerite

2007-01-01

This study examined the impact of cooperative learning activities on student achievement and attitudes in large-enrollment (>250) introductory biology classes. We found that students taught using a cooperative learning approach showed greater improvement in their knowledge of course material compared with students taught using a traditional lecture format. In addition, students viewed cooperative learning activities highly favorably. These findings suggest that encouraging students to work in small groups and improving feedback between the instructor and the students can help to improve student outcomes even in very large classes. These results should be viewed cautiously, however, until this experiment can be replicated with additional faculty. Strategies for potentially improving the impact of cooperative learning on student achievement in large courses are discussed.

BALL (Blogs Assisted Language Learning: Are Malaysian Secondary School Students Prepared to Use Blogs in ESL Learning?

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Zurainee Ariffin

2014-10-01

Full Text Available This study aimed to find out second language learners' perceptions on the use of blogs in their learning process. Participants were 20 secondary school students from a suburban school in Kelantan, Malaysia. The students read articles, discussed in their respective groups and posted their comments in their group blogs in two kinds of learning environment; being supervised face-to-face and virtually.  A survey and also oral interview were administered to elicit participants' perceptions on the use of blogs. The results showed that although the incorporation of blogs in ESL learning were perceived positively among the learners, teachers need to be aware of several factors affect the effectiveness of using this technology in their teaching such as students’ gender, personality and learning preferences.  This paper also provides some pedagogical implications in the use of blogs for ESL learning.

Deep Learning for ECG Classification

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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.

Using Cooperative Learning In Teaching Critical Thinking In Reading

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Anit Pranita Devi

2015-12-01

Full Text Available This study investigates how cooperative learning facilitates students in learning critical thinking in reading and to find out the benefits and challenges during the implementation of cooperative learning in one vocational school in Cimahi. A case study is utilized by using instruments of classroom observations, questionnaires, semi structured interview and students’ written tests. The findings show that the implementation of cooperative learning facilitates students develop their critical thinking and enhance critical thinking dispositions in reading. Three features which contribute to the development of students’ critical thinking in reading are: the encouragement of student-student interaction; the provision of group purposes; and the provision of stimulus to the students’ development of thought and ideas. The aforementioned features promote benefits which involved higher motivation and involvement, increased opportunity for language use, and developed interpersonal relationship. Nevertheless, these benefits are constrained by the availability of time, students’ English proficiency, and students’ contribution to the groupwork. It is recommended that further researchers conduct the similar study in a longer period to make sure that the key elements of cooperative learning are well-structured.

Implicit sequence learning in deaf children with cochlear implants.

Science.gov (United States)

Conway, Christopher M; Pisoni, David B; Anaya, Esperanza M; Karpicke, Jennifer; Henning, Shirley C

2011-01-01

Deaf children with cochlear implants (CIs) represent an intriguing opportunity to study neurocognitive plasticity and reorganization when sound is introduced following a period of auditory deprivation early in development. Although it is common to consider deafness as affecting hearing alone, it may be the case that auditory deprivation leads to more global changes in neurocognitive function. In this paper, we investigate implicit sequence learning abilities in deaf children with CIs using a novel task that measured learning through improvement to immediate serial recall for statistically consistent visual sequences. The results demonstrated two key findings. First, the deaf children with CIs showed disturbances in their visual sequence learning abilities relative to the typically developing normal-hearing children. Second, sequence learning was significantly correlated with a standardized measure of language outcome in the CI children. These findings suggest that a period of auditory deprivation has secondary effects related to general sequencing deficits, and that disturbances in sequence learning may at least partially explain why some deaf children still struggle with language following cochlear implantation. © 2010 Blackwell Publishing Ltd.

Brevican-deficient mice display impaired hippocampal CA1 long-term potentiation but show no obvious deficits in learning and memory

DEFF Research Database (Denmark)

Brakebusch, Cord; Seidenbecher, Constanze I; Asztely, Fredrik

2002-01-01

to be less prominent in mutant than in wild-type mice. Brevican-deficient mice showed significant deficits in the maintenance of hippocampal long-term potentiation (LTP). However, no obvious impairment of excitatory and inhibitory synaptic transmission was found, suggesting a complex cause for the LTP defect....... Detailed behavioral analysis revealed no statistically significant deficits in learning and memory. These data indicate that brevican is not crucial for brain development but has restricted structural and functional roles....

Fast Brain Plasticity during Word Learning in Musically-Trained Children.

Science.gov (United States)

Dittinger, Eva; Chobert, Julie; Ziegler, Johannes C; Besson, Mireille

2017-01-01

Children learn new words every day and this ability requires auditory perception, phoneme discrimination, attention, associative learning and semantic memory. Based on previous results showing that some of these functions are enhanced by music training, we investigated learning of novel words through picture-word associations in musically-trained and control children (8-12 year-old) to determine whether music training would positively influence word learning. Results showed that musically-trained children outperformed controls in a learning paradigm that included picture-sound matching and semantic associations. Moreover, the differences between unexpected and expected learned words, as reflected by the N200 and N400 effects, were larger in children with music training compared to controls after only 3 min of learning the meaning of novel words. In line with previous results in adults, these findings clearly demonstrate a correlation between music training and better word learning. It is argued that these benefits reflect both bottom-up and top-down influences. The present learning paradigm might provide a useful dynamic diagnostic tool to determine which perceptive and cognitive functions are impaired in children with learning difficulties.

Fast Brain Plasticity during Word Learning in Musically-Trained Children

Directory of Open Access Journals (Sweden)

Eva Dittinger

2017-05-01

Full Text Available Children learn new words every day and this ability requires auditory perception, phoneme discrimination, attention, associative learning and semantic memory. Based on previous results showing that some of these functions are enhanced by music training, we investigated learning of novel words through picture-word associations in musically-trained and control children (8–12 year-old to determine whether music training would positively influence word learning. Results showed that musically-trained children outperformed controls in a learning paradigm that included picture-sound matching and semantic associations. Moreover, the differences between unexpected and expected learned words, as reflected by the N200 and N400 effects, were larger in children with music training compared to controls after only 3 min of learning the meaning of novel words. In line with previous results in adults, these findings clearly demonstrate a correlation between music training and better word learning. It is argued that these benefits reflect both bottom-up and top-down influences. The present learning paradigm might provide a useful dynamic diagnostic tool to determine which perceptive and cognitive functions are impaired in children with learning difficulties.

Neuropsychology of reward learning and negative symptoms in schizophrenia.

Science.gov (United States)

Nestor, Paul G; Choate, Victoria; Niznikiewicz, Margaret; Levitt, James J; Shenton, Martha E; McCarley, Robert W

2014-11-01

We used the Iowa Gambling Test (IGT) to examine the relationship of reward learning to both neuropsychological functioning and symptom formation in 65 individuals with schizophrenia. Results indicated that compared to controls, participants with schizophrenia showed significantly reduced reward learning, which in turn correlated with reduced intelligence, memory and executive function, and negative symptoms. The current findings suggested that a disease-related disturbance in reward learning may underlie both cognitive and motivation deficits, as expressed by neuropsychological impairment and negative symptoms in schizophrenia. Copyright © 2014 Elsevier B.V. All rights reserved.

Transforming the energy efficiency market in California: Key findings, lessons learned and future directions from California's market effects studies

International Nuclear Information System (INIS)

Vine, Edward

2013-01-01

In the last three years, the California Institute for Energy and Environment (CIEE), along with the California Public Utilities Commission (CPUC), managed three market effects studies that were funded by the CPUC. This paper summarizes the key findings from these studies that focused on compact fluorescent lamps (CFLs), residential new construction (RNC), and high bay lighting (HBL), with a particular focus on changes to California's market effects evaluation protocol and lessons learned during the evaluation of market effects. This paper also summarizes the key results from a survey that was conducted by CIEE in February 2011 to determine what additional studies should be conducted in the evaluation of market effects. - Highlights: • We summarize three market effects studies and provide lessons learned. • Collect baseline market data as early as possible and throughout program lifecycle. • Estimate market effects throughout a program's lifecycle. • Require hypothesis testing as part of the evaluation. • Include elements of market effects evaluation in other program evaluations

An Examination of Georgia Young Farmer Program Participants’ Learning Style Preferences

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Barry S. Bailey

2017-10-01

Full Text Available This study was designed to describe Georgia Young Farmer Program participants’ learning style preferences. Using survey research methods, a questionnaire was designed to collect data related to the purpose of the study. The population for this study included active members in the program. Study findings showed that participants had a preference for kinesthetic learning over visual and auditory learning. While participants indicated a preference for kinesthetic learning, all three learning styles were deemed effective. Preferences for learning styles and perception of effectiveness did not differ by personal characteristics. Recommendations include taking learning style preferences into account when designing and delivering programming, training for teachers, and continuing to assess learners’ preferences.

Distributed deep learning networks among institutions for medical imaging.

Science.gov (United States)

Chang, Ken; Balachandar, Niranjan; Lam, Carson; Yi, Darvin; Brown, James; Beers, Andrew; Rosen, Bruce; Rubin, Daniel L; Kalpathy-Cramer, Jayashree

2018-03-29

Deep learning has become a promising approach for automated support for clinical diagnosis. When medical data samples are limited, collaboration among multiple institutions is necessary to achieve high algorithm performance. However, sharing patient data often has limitations due to technical, legal, or ethical concerns. In this study, we propose methods of distributing deep learning models as an attractive alternative to sharing patient data. We simulate the distribution of deep learning models across 4 institutions using various training heuristics and compare the results with a deep learning model trained on centrally hosted patient data. The training heuristics investigated include ensembling single institution models, single weight transfer, and cyclical weight transfer. We evaluated these approaches for image classification in 3 independent image collections (retinal fundus photos, mammography, and ImageNet). We find that cyclical weight transfer resulted in a performance that was comparable to that of centrally hosted patient data. We also found that there is an improvement in the performance of cyclical weight transfer heuristic with a high frequency of weight transfer. We show that distributing deep learning models is an effective alternative to sharing patient data. This finding has implications for any collaborative deep learning study.

Project-Based Learning to Promote Effective Learning in Biotechnology Courses

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Farahnaz Movahedzadeh

2012-01-01

Full Text Available With enrollment in the fields of science, technology, engineering, and mathematics (STEM shrinking, teachers are faced with the problem of appealing to a new generation of students without sacrificing educational quality. Evidence has shown that this problem can be reduced with the use of a number of pedagogical strategies of which project-based learning (PBL is one. PBL addresses the fundamental challenge of increasing students’ motivation, their mastery of course material, and finding applications for what they have learned to apply in various situations. This study demonstrates the benefits of redesigning a standard lab-based molecular biology course to create a more effective learning environment. Using PBL, students who enrolled in Bio-251 at Harold Washington College in Chicago were given the responsibility of cloning a bacterial gene from one species into a new host species. They were then tasked with the expression and purification of the resulting protein for future research purposes at University of Illinois-Chicago, a leading 4-year research institute. With use of the PBL method, students showed improvement in the areas of self-confidence, lab technical skills, and interest in STEM-related fields and, most of all, the students showed a high level of performance and satisfaction.

Gamification of Learning: Can Games Motivate Me to Learn History?

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Andry Chowanda

2016-09-01

Full Text Available This article presented empirical finding of the effect of gamification for learning. Evidence in the findings of the empirical study that explores two education games that were developed earlier with a total of 64 participants was presented. The first game was a computer game with historical themes of Ken Arok and Ken Dedes of Singhasari Kingdom. The second game was an Android-based mobile game with Historicity of the Bible themes of Moses. Prior research showed that more than 50 percent of junior and senior high school students in Jakarta demonstrated their apathy to several subjects in their school. They also disclosed that they were having difficulty in following their class in particular with a difficult subject such as History subject. With the popularity of games, the gamification of learning was investigatd to enhance the interest of the students to master a particular subject. The results show that there is a statistical significance increase of the students score and interest in history subject in a group that was using the games to help them in the subject compared to a group that reading books about the particular subject alone 0.001. Furthermore, the participants also reported that playing games was helping them to remember difficult names and event timeline in the historical events   

Exploring the Dimensions of E-learning Maturity Model

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George Maher Iskander

2012-06-01

Full Text Available Despite the highlighting on e-learning, it was obvious that models for successful deployment have not yet been recognized. Even with the huge quantities of money being spent, it is not clear that any enhancement in student learning outcomes has been recognized. To address this issue, this qualitative research aimed to explore and understand dimensions of E-learning Maturity Model (ELMM. An inductive approach, using qualitative methods, was used in this research. Fifty interviewees suggested five dimensions: Students' Attitudes, University attitudes from students’ perspectives, E-learning features, E-learning implementation and Effects of E-learning on students. Students from different majors and levels participated in this study. Findings of this study show that, there are significant five factors which formulate ELMM. Moreover, the study demonstrates that e-learning features have significant effects on student. It also highlights the relevance of using qualitative research in exploring maturity concept in e- learning.

Learning behavior and learning opportunities as career stimuli

NARCIS (Netherlands)

van der Sluis, E.C.

2002-01-01

This paper presents some preliminary findings of a study in the field of work-related learning and management development from a managerial perspective. The interaction between individual and organisational characteristics builds the frame of reference to establish a management learning model, which

Machine Learning for Neuroimaging with Scikit-Learn

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Alexandre eAbraham

2014-02-01

Full Text Available Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g. resting state functional MRI or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

Machine learning for neuroimaging with scikit-learn.

Science.gov (United States)

Abraham, Alexandre; Pedregosa, Fabian; Eickenberg, Michael; Gervais, Philippe; Mueller, Andreas; Kossaifi, Jean; Gramfort, Alexandre; Thirion, Bertrand; Varoquaux, Gaël

2014-01-01

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

Tracking orthographic learning in children with different types of dyslexia

Directory of Open Access Journals (Sweden)

Hua-Chen eWang

2014-07-01

Full Text Available Previous studies have found that children with reading difficulties need more exposures to acquire the representations needed to support fluent reading than typically developing readers (e.g., Ehri & Saltmarsh, 1995. Building on existing orthographic learning paradigms, we report on an investigation of orthographic learning in poor readers using a new learning task tracking both the accuracy (untimed exposure duration and fluency (200ms exposure duration of learning novel words over trials. In study 1, we used the paradigm to examine orthographic learning in children with specific poor reader profiles (9 with a surface profile, 9 a phonological profile and 9 age-matched controls. Both profiles showed improvement over the learning cycles, but the children with surface profile showed impaired orthographic learning in spelling and orthographic choice tasks. Study 2 explored predictors of orthographic learning in a group of 91 poor readers using the same outcome measures as in Study 1. Consistent with earlier findings in typically developing readers, phonological decoding skill predicted orthographic learning. Moreover, orthographic knowledge significantly predicted orthographic learning over and beyond phonological decoding. The two studies provide insights into how poor readers learn novel words, and how their learning process may be compromised by less proficient orthographic and/or phonological skills.

Reinforcement learning in supply chains.

Science.gov (United States)

Valluri, Annapurna; North, Michael J; Macal, Charles M

2009-10-01

Effective management of supply chains creates value and can strategically position companies. In practice, human beings have been found to be both surprisingly successful and disappointingly inept at managing supply chains. The related fields of cognitive psychology and artificial intelligence have postulated a variety of potential mechanisms to explain this behavior. One of the leading candidates is reinforcement learning. This paper applies agent-based modeling to investigate the comparative behavioral consequences of three simple reinforcement learning algorithms in a multi-stage supply chain. For the first time, our findings show that the specific algorithm that is employed can have dramatic effects on the results obtained. Reinforcement learning is found to be valuable in multi-stage supply chains with several learning agents, as independent agents can learn to coordinate their behavior. However, learning in multi-stage supply chains using these postulated approaches from cognitive psychology and artificial intelligence take extremely long time periods to achieve stability which raises questions about their ability to explain behavior in real supply chains. The fact that it takes thousands of periods for agents to learn in this simple multi-agent setting provides new evidence that real world decision makers are unlikely to be using strict reinforcement learning in practice.

Laser entertainment and light shows in education

Science.gov (United States)

Sabaratnam, Andrew T.; Symons, Charles

2002-05-01

Laser shows and beam effects have been a source of entertainment since its first public performance May 9, 1969, at Mills College in Oakland, California. Since 1997, the Photonics Center, NgeeAnn Polytechnic, Singapore, has been using laser shows as a teaching tool. Students are able to exhibit their creative skills and learn at the same time how lasers are used in the entertainment industry. Students will acquire a number of skills including handling three- phase power supply, operation of cooling system, and laser alignment. Students also acquire an appreciation of the arts, learning about shapes and contours as they develop graphics for the shows. After holography, laser show animation provides a combination of the arts and technology. This paper aims to briefly describe how a krypton-argon laser, galvanometer scanners, a polychromatic acousto-optic modulator and related electronics are put together to develop a laser projector. The paper also describes how students are trained to make their own laser animation and beam effects with music, and at the same time have an appreciation of the operation of a Class IV laser and the handling of optical components.

Foster interaction by the integration of ICT with sociocultural and constructivist learning principles

Science.gov (United States)

Nguyen, Nhung; Williams, P. John

2018-01-01

Research shows that it is challenging to introduce an interactive way of teaching and learning into Asian classrooms where Confucian philosophy has considerable influence. This study was conducted within the context of an ASEAN undergraduate physics course. A goal of the study was to use information communication technology (ICT) to integrate sociocultural and constructivist learning principles to foster interaction within the learning environment. Ninety-three students, a lecturer and a teaching assistant participated in the study. The study employed a mixed method approach, using a questionnaire and interviews with students, the lecturer and the teaching assistant to collect the data, to triangulate, complement and explain the findings. Data was also collected from different groups of people in order to investigate, compare and synthesize perspectives from each group (i.e. students, lecturer, and teaching assistant). SPSS was used to analyze quantitative data from the questionnaire, and NVivo was used to analyze qualitative data from the interviews. The findings of this study obtained from the different sources showed that the interactions within the learning environment were enhanced using this framework. Interviews with the lecturer and the teaching assistant showed that interaction was fostered, and the integration of ICT with the learning principles provided opportunities for new ways of teaching and learning. The lecturer designed learning tasks that required the participant students to search and study different learning resources, and then design group presentation on the topic of optics to explain these topics to their classmates. The lecturer also provided support and motivation for this process. In this way, the lecturer believed that he had created opportunities for the students to interact with learning resources, work in groups, discuss physics content and working processes. Data analysis of the students' interviews revealed this undergraduate ASEAN

Lateralization of visual learning in the honeybee.

Science.gov (United States)

Letzkus, Pinar; Boeddeker, Norbert; Wood, Jeff T; Zhang, Shao-Wu; Srinivasan, Mandyam V

2008-02-23

Lateralization is a well-described phenomenon in humans and other vertebrates and there are interesting parallels across a variety of different vertebrate species. However, there are only a few studies of lateralization in invertebrates. In a recent report, we showed lateralization of olfactory learning in the honeybee (Apis mellifera). Here, we investigate lateralization of another sensory modality, vision. By training honeybees on a modified version of a visual proboscis extension reflex task, we find that bees learn a colour stimulus better with their right eye.

States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit

Science.gov (United States)

Gruber, Matthias J.; Gelman, Bernard D.; Ranganath, Charan

2014-01-01

Summary People find it easier to learn about topics that interest them, but little is known about the mechanisms by which intrinsic motivational states affect learning. We used functional magnetic resonance imaging to investigate how curiosity (intrinsic motivation to learn) influences memory. In both immediate and one-day delayed memory tests, participants showed improved memory for information that they were curious about, and also for incidental material learned during states of high curiosity. FMRI results revealed that activity in the midbrain and the nucleus accumbens was enhanced during states of high curiosity. Importantly, individual variability in curiosity-driven memory benefits for incidental material was supported by anticipatory activity in the midbrain and hippocampus and by functional connectivity between these regions. These findings suggest a link between the mechanisms supporting extrinsic reward motivation and intrinsic curiosity and highlight the importance of stimulating curiosity in order to create more effective learning experiences. PMID:25284006

States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit.

Science.gov (United States)

Gruber, Matthias J; Gelman, Bernard D; Ranganath, Charan

2014-10-22

People find it easier to learn about topics that interest them, but little is known about the mechanisms by which intrinsic motivational states affect learning. We used functional magnetic resonance imaging to investigate how curiosity (intrinsic motivation to learn) influences memory. In both immediate and one-day-delayed memory tests, participants showed improved memory for information that they were curious about and for incidental material learned during states of high curiosity. Functional magnetic resonance imaging results revealed that activity in the midbrain and the nucleus accumbens was enhanced during states of high curiosity. Importantly, individual variability in curiosity-driven memory benefits for incidental material was supported by anticipatory activity in the midbrain and hippocampus and by functional connectivity between these regions. These findings suggest a link between the mechanisms supporting extrinsic reward motivation and intrinsic curiosity and highlight the importance of stimulating curiosity to create more effective learning experiences. Copyright © 2014 Elsevier Inc. All rights reserved.

Maximize the Mobile Learning Interaction through Project-Based Learning Activities

Science.gov (United States)

Sulisworo, Dwi; Santyasa, I. Wayan

2018-01-01

Mobile learning implementation at school is a must and meets what students currently need. To facilitate those conditions, teachers also need to have competencies in managing online learning. This research is a descriptive research to find out the experience of students who are prospective teachers when attending the mobile learning course…

To have or to learn? The effects of materialism on British and Chinese children's learning.

Science.gov (United States)

Ku, Lisbeth; Dittmar, Helga; Banerjee, Robin

2014-05-01

This article presents a systematic attempt to examine the associations of materialism with learning in 9- to 11-year-old children in 2 countries of similar economic development but different cultural heritage. Using cross-sectional, longitudinal, and experimental methods, we test a theoretically driven model of associations among materialism, learning motivations, and learning outcomes. Convergent findings suggest that a materialist orientation in elementary school children lowers intrinsic learning motivations, fosters extrinsic learning motivations, and leads to poorer learning outcomes. Materialism was linked directly to lower exam performance, and this link was mediated by lower mastery and heightened performance goals, with patterns not differing between British and Hong Kong Chinese children (Study 1). A follow-up showed that initial materialism predicted worse exam grades 1 year later, suggesting a detrimental long-term effect on Chinese children's school performance (Study 2). We then tested relationships between materialism and learning experimentally, by priming a momentary (state) orientation toward materialism. Writing about material possessions and money affected Chinese children's learning motivations, so that they endorsed lower mastery and higher performance goals (Study 3). A video-diary materialism prime had significant effects on actual learning behaviors, leading British children to (a) choose a performance-oriented learning task over a mastery-oriented task and (b) give up on the task more quickly (Study 4). This research has important implications for personality psychology, educational policy, and future research.

Reducing Math Anxiety: Findings from Incorporating Service Learning into a Quantitative Reasoning Course at Seattle University

Directory of Open Access Journals (Sweden)

Allison Henrich

2011-07-01

Full Text Available How might one teach mathematics to math-anxious students and at the same time reduce their math anxiety? This paper describes what we found when we incorporated a service learning component into a quantitative reasoning course at Seattle University in Fall 2010 (20 students and Spring 2011 (28 students. The course is taken primarily by humanities majors, many of whom would not take a course in math if they didn’t need to satisfy the university’s core requirement. For the service learning component, each student met with and tutored children at local schools for 1-2 hours per week (total about 15 service hours, kept a weekly journal reflecting on the experience, and wrote a five-page final paper on the importance and reasonable expectations of mathematics literacy. The autobiographies, self-description at the beginning of the class, focus group interviews at the end of the term, journal entries, final essays, and student evaluations indicated that the students gained confidence in their mathematical abilities, a greater interest in mathematics, and a broader sense of the importance of math literacy in modern society. One notable finding was that students discovered that the act of manufacturing enthusiasm about math as a tool for tutoring the children made them more enthusiastic about math in their own courses.

Learning second language vocabulary: neural dissociation of situation-based learning and text-based learning.

Science.gov (United States)

Jeong, Hyeonjeong; Sugiura, Motoaki; Sassa, Yuko; Wakusawa, Keisuke; Horie, Kaoru; Sato, Shigeru; Kawashima, Ryuta

2010-04-01

Second language (L2) acquisition necessitates learning and retrieving new words in different modes. In this study, we attempted to investigate the cortical representation of an L2 vocabulary acquired in different learning modes and in cross-modal transfer between learning and retrieval. Healthy participants learned new L2 words either by written translations (text-based learning) or in real-life situations (situation-based learning). Brain activity was then measured during subsequent retrieval of these words. The right supramarginal gyrus and left middle frontal gyrus were involved in situation-based learning and text-based learning, respectively, whereas the left inferior frontal gyrus was activated when learners used L2 knowledge in a mode different from the learning mode. Our findings indicate that the brain regions that mediate L2 memory differ according to how L2 words are learned and used. Copyright 2009 Elsevier Inc. All rights reserved.

The online good practice guide on job finding

DEFF Research Database (Denmark)

Levinsen, Karin Tweddell; Ørngreen, Rikke; Andreasen, Lars Birch

2010-01-01

The Online Good Practice Guide on Job Finding is a result of the project L@JOST, 'Learn about finding jobs through digital storytelling', with the purpose of enhancing the employability possibilities of graduated students through the use of e-portfolio and digital storytelling....

Transforming the findings of narrative research into poetry.

Science.gov (United States)

Edwards, Sharon Lorraine

2015-05-01

To offer dramatic poetry as representing findings from narrative research that is more accessible. This article is drawn from the author's doctorate work on how students' stories about their 'clinical' experiences can aid learning. Nursing students' stories of clinical practice experiences when engaged in the care of patients represented as dramatic poetry. Qualitative analytical approaches in narrative data analysis to provide a review of student stories from a variety of perspectives. This article illustrates a method for converting story data to poetry. It suggests that a range of audiences can learn from nursing students' stories of clinical practice when translated into dramatic poetry. Audiences can come close to understanding what students are experiencing in practice when engaged in the care of patients and learning from their practice experiences, when these experiences are expressed as dramatic poetry. Representing findings from narrative research as dramatic poetry can help audiences engage with nursing students' experiences at an emotional level. Enabling researchers and readers to become immersed in the poem transforming their understanding of what the students have learned.

Learning Style Preferences and the Perceived Usefulness of E-Learning

Science.gov (United States)

Mohr, Alexander Toni; Holtbrugge, Dirk; Berg, Nicola

2012-01-01

This paper uses data gathered from 953 students to investigate how far individuals' preferences for a particular learning style are associated with the perceived usefulness of e-learning. Our findings reveal the effect of individuals' learning styles as well as their gender and professional experience on the perceived usefulness of different forms…

The Effect of Situated Learning on Students Vocational English Learning

Science.gov (United States)

Özüdogru, Melike; Özüdogru, Fatma

2017-01-01

The current study aimed to find out the effect of situated learning on students' Vocational English learning. This research employed a mixed method research design. In the quantitative part of the study, pre-tests and post-tests were implemented to investigate the differences in students' vocational English learning between the experimental and…

Exploring Mathematics Achievement Goals Using Kolb’s Learning Style Model

Directory of Open Access Journals (Sweden)

Avelino G. Ignacio Jr.

2017-02-01

Full Text Available This research work is an exploration of causality connection of learning styles to mathematics achievement goals. The objectives of the study are as follows: (1 to identify the mathematics achievement goal of students when grouped according to preferred learning style (2 to identify the learning style of students when grouped according to preferred mathematics achievement goal and (3 to determine if there is a significant difference in each mathematics achievement goal when grouped according to learning style. The researcher used explanatory cross-sectional design. The Revised Achievement Goal Questionnaire and Kolb’s Learning Style Inventory 3.1 were utilized to collect data. Results show that respondents hold mastery-approach achievement goals regardless of learning styles. Also, students with approach type of mathematics achievement goals hold assimilative learning style which operates on reflective observation and abstract conceptualization; and students with avoidance type of mathematics achievement goals hold accommodative learning style which operates on active experimentation and concrete experimentation. Furthermore, findings show that there is no significant difference in the mathematics achievement goals based on learning style. Exploratory research is recommended to understand why students with approach type of mathematics achievement goals hold assimilative learning style and why students with avoidance type of mathematics achievement goals hold accommodative learning style.

Neural correlates of face gender discrimination learning.

Science.gov (United States)

Su, Junzhu; Tan, Qingleng; Fang, Fang

2013-04-01

Using combined psychophysics and event-related potentials (ERPs), we investigated the effect of perceptual learning on face gender discrimination and probe the neural correlates of the learning effect. Human subjects were trained to perform a gender discrimination task with male or female faces. Before and after training, they were tested with the trained faces and other faces with the same and opposite genders. ERPs responding to these faces were recorded. Psychophysical results showed that training significantly improved subjects' discrimination performance and the improvement was specific to the trained gender, as well as to the trained identities. The training effect indicates that learning occurs at two levels-the category level (gender) and the exemplar level (identity). ERP analyses showed that the gender and identity learning was associated with the N170 latency reduction at the left occipital-temporal area and the N170 amplitude reduction at the right occipital-temporal area, respectively. These findings provide evidence for the facilitation model and the sharpening model on neuronal plasticity from visual experience, suggesting a faster processing speed and a sparser representation of face induced by perceptual learning.

When being narrow minded is a good thing: locally biased people show stronger contextual cueing.

Science.gov (United States)

Bellaera, Lauren; von Mühlenen, Adrian; Watson, Derrick G

2014-01-01

Repeated contexts allow us to find relevant information more easily. Learning such contexts has been proposed to depend upon either global processing of the repeated contexts, or alternatively processing of the local region surrounding the target information. In this study, we measured the extent to which observers were by default biased to process towards a more global or local level. The findings showed that the ability to use context to help guide their search was strongly related to an observer's local/global processing bias. Locally biased people could use context to help improve their search better than globally biased people. The results suggest that the extent to which context can be used depends crucially on the observer's attentional bias and thus also to factors and influences that can change this bias.

Finding the Secret of Image Saliency in the Frequency Domain.

Science.gov (United States)

Li, Jia; Duan, Ling-Yu; Chen, Xiaowu; Huang, Tiejun; Tian, Yonghong

2015-12-01

There are two sides to every story of visual saliency modeling in the frequency domain. On the one hand, image saliency can be effectively estimated by applying simple operations to the frequency spectrum. On the other hand, it is still unclear which part of the frequency spectrum contributes the most to popping-out targets and suppressing distractors. Toward this end, this paper tentatively explores the secret of image saliency in the frequency domain. From the results obtained in several qualitative and quantitative experiments, we find that the secret of visual saliency may mainly hide in the phases of intermediate frequencies. To explain this finding, we reinterpret the concept of discrete Fourier transform from the perspective of template-based contrast computation and thus develop several principles for designing the saliency detector in the frequency domain. Following these principles, we propose a novel approach to design the saliency detector under the assistance of prior knowledge obtained through both unsupervised and supervised learning processes. Experimental results on a public image benchmark show that the learned saliency detector outperforms 18 state-of-the-art approaches in predicting human fixations.

Path-finding in real and simulated rats

DEFF Research Database (Denmark)

Tamosiunaite, Minija; Ainge, James; Kulvicius, Tomas

2008-01-01

without affecting the path characteristic two additional mechanisms are implemented: a gradual drop of the learned weights (weight decay) and path length limitation, which prevents learning if the reward is not found after some expected time. Both mechanisms limit the memory of the system and thereby......A large body of experimental evidence suggests that the hippocampal place field system is involved in reward based navigation learning in rodents. Reinforcement learning (RL) mechanisms have been used to model this, associating the state space in an RL-algorithm to the place-field map in a rat...... convergence of RL-algorithms is also influenced by the state space characteristics, different PF-sizes and densities, leading to a different degree of overlap, were also investigated. The model rat learns finding a reward opposite to its starting point. We observed that the combination of biased straight...

Correlation of Imaging Findings with Pathologic Findings of Sclerosing Adenosis

International Nuclear Information System (INIS)

Choi, Bo Bae; Shu, Kwang Sun

2012-01-01

The purpose of this study was to evaluate the mammographic and sonographic findings of pure sclerosing adenosis. We retrospectively reviewed the mammographic and sonographic findings in 40 cases of pure sclerosing adenosis confirmed by core needle biopsy (n = 23), vacuum-assisted biopsy (n = 7), excision biopsy (n = 9), and lumpectomy (n = 1) from January 2002 to March 2010. All imaging findings were analyzed according to the American College of Radiology (ACR) breast imaging reporting and data system (BI-RADS). Radiologic features were correlated with pathologic findings. Although most mammograms showed negative findings (57%), calcification was the most common abnormal finding of sclerosing adenosis. On sonography, the most common finding was a circumscribed oval hypoechoic mass without posterior features (78%). Most masses showed BI-RADS category 3, (75%, 27/36). Five cases showed categories 4 or 5 (14%, 5/36). Most mammographic and sonographic findings of sclerosing adenosis are non-specific and non-pathognomonic, even though sometimes sclerosing adenosis can be radiologically or histopathologically confused with malignancy

Reduced autobiographical memory specificity is associated with impaired discrimination learning in anxiety disorder patients

Science.gov (United States)

Lenaert, Bert; Boddez, Yannick; Vervliet, Bram; Schruers, Koen; Hermans, Dirk

2015-01-01

Associative learning plays an important role in the development of anxiety disorders, but a thorough understanding of the variables that impact such learning is still lacking. We investigated whether individual differences in autobiographical memory specificity are related to discrimination learning and generalization. In an associative learning task, participants learned the association between two pictures of female faces and a non-aversive outcome. Subsequently, six morphed pictures functioning as generalization stimuli (GSs) were introduced. In a sample of healthy participants (Study 1), we did not find evidence for differences in discrimination learning as a function of memory specificity. In a sample of anxiety disorder patients (Study 2), individuals who were characterized by low memory specificity showed deficient discrimination learning relative to high specific individuals. In contrast to previous findings, results revealed no effect of memory specificity on generalization. These results indicate that impaired discrimination learning, previously shown in patients suffering from an anxiety disorder, may be—in part—due to limited memory specificity. Together, these studies emphasize the importance of incorporating cognitive variables in associative learning theories and their implications for the development of anxiety disorders. In addition, re-analyses of the data (Study 3) showed that patients suffering from panic disorder showed higher outcome expectancies in the presence of the stimulus that was never followed by an outcome during discrimination training, relative to patients suffering from other anxiety disorders and healthy participants. Because we used a neutral, non-aversive outcome (i.e., drawing of a lightning bolt), these data suggest that learning abnormalities in panic disorder may not be restricted to fear learning, but rather reflect a more general associative learning deficit that also manifests in fear irrelevant contexts. PMID

Show Me the Way: Future Faculty Prefer Directive Feedback When Trying Active Learning Approaches

Science.gov (United States)

Stephens, Jessica D.; Battle, David C.; Gormally, Cara L.; Brickman, Peggy

2017-01-01

Early training opportunities for future faculty, namely graduate students and postdoctoral researchers, can better prepare them to use active learning approaches. We know that instructional feedback supports sustained change and motivates instructors to improve teaching practices. Here, we incorporate feedback as a key component of a pedagogical…

Towards collaboration as learning: evaluation of an open CPD opportunity for HE teachers

Directory of Open Access Journals (Sweden)

Chrissi Nerantzi

2015-08-01

Full Text Available Flexible, Distance and Online Learning (FDOL is an open online course offered as an informal cross-institutional collaboration based on a postgraduate module in the context of teacher education in higher education. The second iteration, FDOL132, was offered in 2013 using a problem-based learning (PBL design (FISh to foster collaborative learning. How this was experienced by participants and how it affected learning within facilitated small groups are explored in this paper. Findings show that authentic learning in groups can be applied directly to practice, and greater flexibility and a focus on the process of collaborative learning has the potential to increase engagement and learning.

Learning style, judgements of learning, and learning of verbal and visual information.

Science.gov (United States)

Knoll, Abby R; Otani, Hajime; Skeel, Reid L; Van Horn, K Roger

2017-08-01

The concept of learning style is immensely popular despite the lack of evidence showing that learning style influences performance. This study tested the hypothesis that the popularity of learning style is maintained because it is associated with subjective aspects of learning, such as judgements of learning (JOLs). Preference for verbal and visual information was assessed using the revised Verbalizer-Visualizer Questionnaire (VVQ). Then, participants studied a list of word pairs and a list of picture pairs, making JOLs (immediate, delayed, and global) while studying each list. Learning was tested by cued recall. The results showed that higher VVQ verbalizer scores were associated with higher immediate JOLs for words, and higher VVQ visualizer scores were associated with higher immediate JOLs for pictures. There was no association between VVQ scores and recall or JOL accuracy. As predicted, learning style was associated with subjective aspects of learning but not objective aspects of learning. © 2016 The British Psychological Society.

Motor Speech Sequence Learning in Adults Who Stutter

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Mahsa Aghazamani

2018-04-01

Conclusion The results of this study showed that PWS show improvement in accuracy, reaction time and sequence duration variables from day 1 to day 3. Also, PWS show more substantial number of errors compared to PNS, but this difference was not significant between the two groups. Similar results were obtained for the reaction time. Results of this study demonstrated that PWS show slower sequence duration compared to PNS. Some studies suggested that this could be because people who stutter use a control strategy to reduce the number of errors, although many studies suggested that this may indicate motor learning. According to speech motor skills hypothesis, it can be concluded that people who stutter have limitations in motor speech learning abilities. The findings of the present study could have clinical implication for the treatment of stuttering.

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.

Directory of Open Access Journals (Sweden)

Quan Wang

2017-08-01

Full Text Available The ability to learn sequential behaviors is a fundamental property of our brains. Yet a long stream of studies including recent experiments investigating motor sequence learning in adult human subjects have produced a number of puzzling and seemingly contradictory results. In particular, when subjects have to learn multiple action sequences, learning is sometimes impaired by proactive and retroactive interference effects. In other situations, however, learning is accelerated as reflected in facilitation and transfer effects. At present it is unclear what the underlying neural mechanism are that give rise to these diverse findings. Here we show that a recently developed recurrent neural network model readily reproduces this diverse set of findings. The self-organizing recurrent neural network (SORN model is a network of recurrently connected threshold units that combines a simplified form of spike-timing dependent plasticity (STDP with homeostatic plasticity mechanisms ensuring network stability, namely intrinsic plasticity (IP and synaptic normalization (SN. When trained on sequence learning tasks modeled after recent experiments we find that it reproduces the full range of interference, facilitation, and transfer effects. We show how these effects are rooted in the network's changing internal representation of the different sequences across learning and how they depend on an interaction of training schedule and task similarity. Furthermore, since learning in the model is based on fundamental neuronal plasticity mechanisms, the model reveals how these plasticity mechanisms are ultimately responsible for the network's sequence learning abilities. In particular, we find that all three plasticity mechanisms are essential for the network to learn effective internal models of the different training sequences. This ability to form effective internal models is also the basis for the observed interference and facilitation effects. This suggests that

Assessment for learning in innovation and entrepreneurship education

DEFF Research Database (Denmark)

Rasmussen, Radmila M.

2017-01-01

Purpose This chapter exemplifies how assessment is performed in innovation and entrepreneurship (I&E) at the university education and how educators apply and view formative assessment as an important tool in enhancing students’ learning outcomes. Methodology/approach A case study methodology...... to conduct assessment that stimulates students learning in I&E-education. Originality/value Considering that the research on how assessment in I&E-education impacts students learning is limited, this study provides important contribution by identifying links between formative assessment types and enhancement...... responsible educators focusing on alignment between learning goals, assessment forms and criteria, and feedback. Findings The analysis shows that educators emphasize the importance of formative and learner-centered assessment forms alongside summative, credit-giving assessment. Educators experience...

Effects of External Learning Aids on Learning with Ill-Structured Hypertext.

Science.gov (United States)

Astleitner, Hermann

1997-01-01

Describes three experiments with high school and college students concerning learning with ill-structured hypertext; in each study, one different kind of external learning aid (memo pads, learning time, and teaching objectives) was manipulated and examined for its effect on intentional and incidental knowledge acquisition. Findings are discussed…

Online Learning - Between University Studies and Workplace Learning

DEFF Research Database (Denmark)

Kolbæk, Ditte; Lundh Snis, Ulrika

2018-01-01

—by attending a blended learning course? The study builds on Engeström’s (2001) expansive learning model of two interacting activity systems, namely, the students’ master’s course and their professional work places. The study follows a mixed methods approach and finds that the students integrated requirements......This study explores learning when professionals return to education and use their professional work experience to fulfil their study objectives. The research question is: How do students learn from experiences in two contexts—a master’s course at a university and their organisations of employment...

Learning paradigms in workplace e-learning research

Directory of Open Access Journals (Sweden)

Isabella Norén Creutz

2014-09-01

Full Text Available The objective of this paper is to explore the discourses of learning that are actualized in workplace e-learning. It aims to understand how learning is defined in research within this field. The empirical material consists of academic research articles on e-learning in the workplace, published from 2000 to 2013. The findings are presented as four metaphors highlighting four overlapping time periods with different truth regimes: Celebration, Questioning, Reflection and Dissolution. It is found that learning as a phenomenon tends to be marginalized in relation to the digital technology used. Based on this, we discuss a proposal for a more critical and problematized approach to e-learning, and a deeper understanding of the challenges and opportunities for employees and organizations to acquire knowledge in the digital age.

Nap-dependent learning in infants.

Science.gov (United States)

Hupbach, Almut; Gomez, Rebecca L; Bootzin, Richard R; Nadel, Lynn

2009-11-01

Sleep has been shown to aid a variety of learning and memory processes in adults (Stickgold, 2005). Recently, we showed that infants' learning also benefits from subsequent sleep such that infants who nap are able to abstract the general grammatical pattern of a briefly presented artificial language (Gomez, Bootzin & Nadel, 2006). In the present study, we demonstrate, for the first time, long-term effects of sleep on memory for an artificial language. Fifteen-month-old infants who had napped within 4 hours of language exposure remembered the general grammatical pattern of the language 24 hours later. In contrast, infants who had not napped shortly after being familiarized with the language showed no evidence of remembering anything about the language. Our findings support the view that infants' frequent napping plays an essential role in establishing long-term memory.

Learning Styles and e-portfolio in Nursing Education

DEFF Research Database (Denmark)

Nielsen, Kirsten; Pedersen, Birthe D.; Helms, Niels Henrik

Purpose of the study Research from UK and USA indicates that an e-portfolio facilitates a stronger connection between theoretical and clinical studies in Nursing Education. It helps students reflect over practice and their own skills. Yet other results show that an e-portfolio is a time consumer....... Thus, the aim of this project is to examine the effects of an e-portfolio on nursing students learning of patients with chronic illness during their clinical practice, and to investigate if it makes any difference in facilitating four learning styles: the activist, the reflector, the theorist...... through observations in clinical settings, narrative interviews, and print-outs from the students e-portfolio. Findings So far a pilot project with a questionnaire shows that 84% of the students and nurses reported that the e-portfolio has a positive effect on students learning in clinical settings...

Expanding the basic science debate: the role of physics knowledge in interpreting clinical findings.

Science.gov (United States)

Goldszmidt, Mark; Minda, John Paul; Devantier, Sarah L; Skye, Aimee L; Woods, Nicole N

2012-10-01

Current research suggests a role for biomedical knowledge in learning and retaining concepts related to medical diagnosis. However, learning may be influenced by other, non-biomedical knowledge. We explored this idea using an experimental design and examined the effects of causal knowledge on the learning, retention, and interpretation of medical information. Participants studied a handout about several respiratory disorders and how to interpret respiratory exam findings. The control group received the information in standard "textbook" format and the experimental group was presented with the same information as well as a causal explanation about how sound travels through lungs in both the normal and disease states. Comprehension and memory of the information was evaluated with a multiple-choice exam. Several questions that were not related to the causal knowledge served as control items. Questions related to the interpretation of physical exam findings served as the critical test items. The experimental group outperformed the control group on the critical test items, and our study shows that a causal explanation can improve a student's memory for interpreting clinical details. We suggest an expansion of which basic sciences are considered fundamental to medical education.

Incidental Learning of Melodic Structure of North Indian Music.

Science.gov (United States)

Rohrmeier, Martin; Widdess, Richard

2017-07-01

Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically valid way. It employed a cross-grammar design, using melodic materials from two modes (rāgas) that use the same scale. Findings indicated that Western participants unfamiliar with Indian music incidentally learned to identify distinctive features of each mode. Confidence ratings suggest that participants' performance was consistently correlated with confidence, indicating that they became aware of whether they were right in their responses; that is, they possessed explicit judgment knowledge. Altogether our findings show incidental learning in a realistic ecologically valid context during only a very short exposure, they provide evidence that incidental learning constitutes a powerful mechanism that plays a fundamental role in musical acquisition. Copyright © 2016 Cognitive Science Society, Inc.

Can Excess Bilirubin Levels Cause Learning Difficulties?

Science.gov (United States)

Pretorius, E.; Naude, H.; Becker, P. J.

2002-01-01

Examined learning problems in South African sample of 7- to 14-year-olds whose mothers reported excessively high infant bilirubin shortly after the child's birth. Found that this sample had lowered verbal ability with the majority also showing impaired short-term and long-term memory. Findings suggested that impaired formation of astrocytes…

PENGEMBANGAN PENDIDIKAN KARAKTER DALAM MATA KULIAH EVALUASI PEMBELAJARAN MELALUI PENDEKATAN DEEP APPROACH TO LEARNING

Directory of Open Access Journals (Sweden)

Nanik Suryani

2016-01-01

Full Text Available The objectives of this study are to find and to test the model of characters education in Learning Evaluation Subject through deep approach to learning. The subject of the study is the class of Learning Evaluation of Office Administration Program, Economics Education Department, Economics Faculty, Semarang State University. The data are collected by a test, and then analyzed by qualitative descriptive. The result of this study showed that the model of characters education through deep approach to learning could improve students’ self awareness in learning the subject.

PENGEMBANGAN PENDIDIKAN KARAKTER DALAM MATA KULIAH EVALUASI PEMBELAJARAN MELALUI PENDEKATAN DEEP APPROACH TO LEARNING

Directory of Open Access Journals (Sweden)

Nanik Suryani

2012-12-01

Full Text Available The objectives of this study are to find and to test the model of characters education in Learning Evaluation Subject through deep approach to learning. The subject of the study is the class of Learning Evaluation of Office Administration Program, Economics Education Department, Economics Faculty, Semarang State University. The data are collected by a test, and then analyzed by qualitative descriptive. The result of this study showed that the model of characters education through deep approach to learning could improve students’ self awareness in learning the subject.

Promoting autonomous learning in English through the implementation of Content and Language Integrated Learning (CLIL in science and maths subjects

Directory of Open Access Journals (Sweden)

Andriani Putu Fika

2018-01-01

Full Text Available Autonomous learning is a concept in which the learner has the ability to take charge of their own learning. It becomes a notable aspect that should be perceived by students. The aim of this research is for finding out the strategies used by grade two teachers in Bali Kiddy Primary School to promote autonomous learning in English through the implementation of Content and Language Integrated Learning in science and maths subjects. This study was designed in the form of descriptive qualitative study. The data were collected through observation, interview, and document study. The result of the study shows that there are some strategies of promoting autonomous learning in English through the implementation of CLIL in Science and Maths subjects. Those strategies are table of content training, questioning & presenting, journal writing, choosing activities, and using online activity. Those strategies can be adopted or even adapted as the way to promote autonomous learning in English subject.

Pervasive Learning Environments

DEFF Research Database (Denmark)

Hundebøl, Jesper; Helms, Niels Henrik

2006-01-01

The potentials of pervasive communication in learning within industry and education are right now being explored through different R&D projects. This paper outlines the background for and the possible learning potentials in what we describe as pervasive learning environments (PLE). PLE?s differ...... from virtual learning environments (VLE) primarily because in PLE?s the learning content is very much related to the actual context in which the learner finds himself. Two local (Denmark) cases illustrate various aspects of pervasive learning. One is the eBag, a pervasive digital portfolio used...

Teacher learning and student outcomes in the context of classroom discourse. Findings from a video-based teacher professional development programme

Directory of Open Access Journals (Sweden)

Katharina Kiemer

2014-06-01

Full Text Available We present an innovative teacher professional development programme (TPD focusing on the re-definition of teachers’ discourse behaviour. We report findings on teacher learning and student outcomes, and reflect on practical implications and directions for future research on the programme. In the “Dialogic Video Cycle” (DVC six teachers participated in a year-long intervention built on effective components of TPD and using videos of teachers’ own practices as tools for reflection and basis for group discussions. We compared the DVC with a traditional TPD programme (n= 4 teachers. Additionally, students (N= 226 were assessed regarding their motivational orientations and individual beliefs. Results show that effective TPD components could successfully be implemented in the DVC and that this new and innovative programme enhances teachers’ performance in classroom discourse and affects students’ interest in the subject, self-efficacy and domain-specific self-concept of ability positively. Thus, the DVC seems a promising tool to foster teacher learning with an impact on perceived student motivation and learning. Presentiamo un programma innovativo per lo sviluppo professionale degli insegnanti (TPD, centrato sulla ridefinizione della conduzione di interazioni verbali in classe. Sono riportati i risultati dell’apprendimento di insegnanti e studenti, e la riflessione sulle implicazioni pratiche per la ricerca futura sul programma. Nel “Dialogic Video Cycle” (DVC sei insegnanti hanno partecipato per un anno a un intervento di TPD mediante videoregistrazioni usate come strumenti di riflessione sulle proprie pratiche e per le discussioni di gruppo. Abbiamo confrontato il DVC con un programma TPD tradizionale (n= 4 insegnanti. Inoltre sono stati valutati gli orientamenti degli studenti (N= 226 in termini di motivazione e fiducia nelle proprie capacità. I risultati mostrano che le componenti efficaci del TPD potrebbero essere attuate con

Interface learning

DEFF Research Database (Denmark)

Thorhauge, Sally

2014-01-01

"Interface learning - New goals for museum and upper secondary school collaboration" investigates and analyzes the learning that takes place when museums and upper secondary schools in Denmark work together in local partnerships to develop and carry out school-related, museum-based coursework...... for students. The research focuses on the learning that the students experience in the interface of the two learning environments: The formal learning environment of the upper secondary school and the informal learning environment of the museum. Focus is also on the learning that the teachers and museum...... professionals experience as a result of their collaboration. The dissertation demonstrates how a given partnership’s collaboration affects the students’ learning experiences when they are doing the coursework. The dissertation presents findings that museum-school partnerships can use in order to develop...

The Rebirth of Children's Learning.

Science.gov (United States)

Siegler, Robert S.

2000-01-01

Maintains that recent theoretical and methodological advances have sparked renewed interest in studying children's learning. Describes consistent and interesting findings regarding how children learn and intriguing proposals regarding mechanisms underlying learning. Argues that increasing the focus on children's learning promises practical…

Educational Outreach: The Space Science Road Show

Science.gov (United States)

Cox, N. L. J.

2002-01-01

The poster presented will give an overview of a study towards a "Space Road Show". The topic of this show is space science. The target group is adolescents, aged 12 to 15, at Dutch high schools. The show and its accompanying experiments would be supported with suitable educational material. Science teachers at schools can decide for themselves if they want to use this material in advance, afterwards or not at all. The aims of this outreach effort are: to motivate students for space science and engineering, to help them understand the importance of (space) research, to give them a positive feeling about the possibilities offered by space and in the process give them useful knowledge on space basics. The show revolves around three main themes: applications, science and society. First the students will get some historical background on the importance of space/astronomy to civilization. Secondly they will learn more about novel uses of space. On the one hand they will learn of "Views on Earth" involving technologies like Remote Sensing (or Spying), Communication, Broadcasting, GPS and Telemedicine. On the other hand they will experience "Views on Space" illustrated by past, present and future space research missions, like the space exploration missions (Cassini/Huygens, Mars Express and Rosetta) and the astronomy missions (Soho and XMM). Meanwhile, the students will learn more about the technology of launchers and satellites needed to accomplish these space missions. Throughout the show and especially towards the end attention will be paid to the third theme "Why go to space"? Other reasons for people to get into space will be explored. An important question in this is the commercial (manned) exploration of space. Thus, the questions of benefit of space to society are integrated in the entire show. It raises some fundamental questions about the effects of space travel on our environment, poverty and other moral issues. The show attempts to connect scientific with

A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER EDUCATION

Directory of Open Access Journals (Sweden)

Mehran FARAJOLLAHI

2010-07-01

Full Text Available The present research aims at presenting a conceptual model for effective distance learning in higher education. Findings of this research shows that an understanding of the technological capabilities and learning theories especially constructive theory and independent learning theory and communicative and interaction theory in Distance learning is an efficient factor in the planning of effective Distance learning in higher education. Considering the theoretical foundations of the present research, in the effective distance learning model, the learner is situated at the center of learning environment. For this purpose, the learner needs to be ready for successful learning and the teacher has to be ready to design the teaching- learning activities when they initially enter the environment. In the present model, group and individual active teaching-learning approach, timely feedback, using IT and eight types of interactions have been designed with respect to theoretical foundations and current university missions. From among the issues emphasized in this model, one can refer to the Initial, Formative and Summative evaluations. In an effective distance learning environment, evaluation should be part of the learning process and the feedback resulting from it should be used to improve learning. For validating the specified features, the opinions of Distance learning experts in Payame Noor, Shiraz, Science and Technology and Amirkabir Universities have been used which verified a high percentage of the statistical sample of the above mentioned features.

Effects of Jigsaw Learning Method on Students’ Self-Efficacy and Motivation to Learn

OpenAIRE

Dwi Nur Rachmah

2017-01-01

Jigsaw learning as a cooperative learning method, according to the results of some studies, can improve academic skills, social competence, behavior in learning, and motivation to learn. However, in some other studies, there are different findings regarding the effect of jigsaw learning method on self-efficacy. The purpose of this study is to examine the effects of jigsaw learning method on self-efficacy and motivation to learn in psychology students at the Faculty of Medicine, Universitas La...

Virtual Learning Environments and Learning Forms -experiments in ICT-based learning

DEFF Research Database (Denmark)

Helbo, Jan; Knudsen, Morten

2004-01-01

This paper report the main results of a three year experiment in ICT-based distance learning. The results are based on a full scale experiment in the education, Master of Industrial Information Technology (MII) and is one of many projects deeply rooted in the project Virtual Learning Environments...... and Learning forms (ViLL). The experiment was to transfer a well functioning on-campus engineering program based on project organized collaborative learning to a technology supported distance education program. After three years the experiments indicate that adjustments are required in this transformation....... The main problem is that we do not find the same self regulatoring learning effect in the group work among the off-campus students as is the case for on-campus students. Based on feedback from evaluation questionnaires and discussions with the students didactic adjustments have been made. The revised...

Inquiry-Based Learning in China: Lesson Learned for School Science Practices

Science.gov (United States)

Nuangchalerm, Prasart

2014-01-01

Inquiry-based learning is widely considered for science education in this era. This study aims to explore inquiry-based learning in teacher preparation program and the findings will help us to understanding what inquiry-based classroom is and how inquiry-based learning are. Data were collected by qualitative methods; classroom observation,…

Teaching for Deep Learning

Science.gov (United States)

Smith, Tracy Wilson; Colby, Susan A.

2007-01-01

The authors have been engaged in research focused on students' depth of learning as well as teachers' efforts to foster deep learning. Findings from a study examining the teaching practices and student learning outcomes of sixty-four teachers in seventeen different states (Smith et al. 2005) indicated that most of the learning in these classrooms…

Determinants of Teachers' Attitudes towards E- Learning in Tanzanian Higher Learning Institutions

Science.gov (United States)

Kisanga, Dalton H.

2016-01-01

This survey research study presents the findings on determinants of teachers' attitudes towards e-learning in Tanzanian higher learning institutions. The study involved 258 teachers from 4 higher learning institutions obtained through stratified, simple random sampling. Questionnaires and documentary review were used in data collection. Data were…

Beyond Effectiveness: A Pragmatic Evaluation Framework for Learning and Continuous Quality Improvement of e-Learning Interventions in Healthcare.

Science.gov (United States)

Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M

2015-01-01

A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.

Effects of aging and dopamine genotypes on the emergence of explicit memory during sequence learning.

Science.gov (United States)

Schuck, Nicolas W; Frensch, Peter A; Schjeide, Brit-Maren M; Schröder, Julia; Bertram, Lars; Li, Shu-Chen

2013-11-01

The striatum and medial temporal lobe play important roles in implicit and explicit memory, respectively. Furthermore, recent studies have linked striatal dopamine modulation to both implicit as well as explicit sequence learning and suggested a potential role of the striatum in the emergence of explicit memory during sequence learning. With respect to aging, previous findings indicated that implicit memory is less impaired than explicit memory in older adults and that genetic effects on cognition are magnified by aging. To understand the links between these findings, we investigated effects of aging and genotypes relevant for striatal dopamine on the implicit and explicit components of sequence learning. Reaction time (RT) and error data from 80 younger (20-30 years) and 70 older adults (60-71 years) during a serial reaction time task showed that age differences in learning-related reduction of RTs emerged gradually over the course of learning. Verbal recall and measures derived from the process-dissociation procedure revealed that younger adults acquired more explicit memory about the sequence than older adults, potentially causing age differences in RT gains in later stages of learning. Of specific interest, polymorphisms of the dopamine- and cAMP-regulated neuronal phosphoprotein (DARPP-32, rs907094) and dopamine transporter (DAT, VNTR) genes showed interactive effects on overall RTs and verbal recall of the sequence in older but not in younger adults. Together our findings show that variations in genotypes relevant for dopamine functions are associated more with aging-related impairments in the explicit than the implicit component of sequence learning, providing support for theories emphasizing the role of dopaminergic modulation in cognitive aging and the magnification of genetic effects in human aging. © 2013 Elsevier Ltd. All rights reserved.

Confronting the Equity "Learning Problem" through Practitioner Inquiry

Science.gov (United States)

Ching, Cheryl D.

2018-01-01

This study examined how participation in an inquiry-based workshop on assessing course syllabi for equity-mindedness and cultural inclusivity fostered community college math faculty learning about racial/ethnic equity and equity-mindedness. Findings show that the workshop prompted reflection on what equity means and how participants' teaching…

Transformative Learning Following Job Loss: A Dissertation Renewal

Science.gov (United States)

Benway, Robert

2017-01-01

This study renews a doctoral dissertation written in 2003 on transformative learning following job loss. An abbreviated literature review compares corporate and worker circumstances from the original study to the present time. Findings show that corporations choose reductions in force due to pressure from investors instead of productivity, and…

Incidental Vocabulary Learning in Second Language Acquisition: A Literature Review

Directory of Open Access Journals (Sweden)

Falcon Dario Restrepo Ramos

2015-01-01

Full Text Available This literature review aims to analyze previous studies that address the incidental learning of vocabulary in second language acquisition. The articles included in this literature review look into the understanding of vocabulary learning through incidental means, the relationship of reading and incidental vocabulary learning, and the strategies and tasks that promote the incidental learning of vocabulary. The findings show that L2 learners develop much of their vocabulary by incidental means through exposure to words in informative contexts. Moreover, this exposure is promoted by reading, and enhanced through multimodal glosses. Further research may focus on listening for higher lexical retention rates, the circumstances that allow incidental learning of multi-word phrases and collocations, and the use of technology-based methods for incidental vocabulary acquisition.

Students' interaction for enhancing learning motivation and learning success: findings from integrating a simulation game into a university course

OpenAIRE

Otto, Daniel

2017-01-01

In recent decades, a vast amount of literature has been published discussing the educational use of simulation games in higher education. Since their emergence in the 1960s, simulation games have had a substantial effect on the way we think about teaching and learning in higher education. One reason simulation games are regarded as superior to traditional teaching is that they encourage students to interact and collaborate. Simulation games can therefore be subsumed under Kolbs learning model...

The role of training structure in perceptual learning of accented speech.

Science.gov (United States)

Tzeng, Christina Y; Alexander, Jessica E D; Sidaras, Sabrina K; Nygaard, Lynne C

2016-11-01

Foreign-accented speech contains multiple sources of variation that listeners learn to accommodate. Extending previous findings showing that exposure to high-variation training facilitates perceptual learning of accented speech, the current study examines to what extent the structure of training materials affects learning. During training, native adult speakers of American English transcribed sentences spoken in English by native Spanish-speaking adults. In Experiment 1, training stimuli were blocked by speaker, sentence, or randomized with respect to speaker and sentence (Variable training). At test, listeners transcribed novel English sentences produced by unfamiliar Spanish-accented speakers. Listeners' transcription accuracy was highest in the Variable condition, suggesting that varying both speaker identity and sentence across training trials enabled listeners to generalize their learning to novel speakers and linguistic content. Experiment 2 assessed the extent to which ordering of training tokens by a single factor, speaker intelligibility, would facilitate speaker-independent accent learning, finding that listeners' test performance did not reliably differ from that in the no-training control condition. Overall, these results suggest that the structure of training exposure, specifically trial-to-trial variation on both speaker's voice and linguistic content, facilitates learning of the systematic properties of accented speech. The current findings suggest a crucial role of training structure in optimizing perceptual learning. Beyond characterizing the types of variation listeners encode in their representations of spoken utterances, theories of spoken language processing should incorporate the role of training structure in learning lawful variation in speech. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Integrating Various Apps on BYOD (Bring Your Own Device) into Seamless Inquiry-Based Learning to Enhance Primary Students' Science Learning

Science.gov (United States)

Song, Yanjie; Wen, Yun

2018-04-01

Despite that BYOD (Bring Your Own Device) technology model has been increasingly adopted in education, few studies have been reported on how to integrate various apps on BYOD into inquiry-based pedagogical practices in primary schools. This article reports a case study, examining what apps on BYOD can help students enhance their science learning, and how students develop their science knowledge in a seamless inquiry-based learning environment supported by these apps. A variety of qualitative data were collected and analyzed. The findings show that the affordances of the apps on BYOD could help students improve their science knowledge without time and place constraints and gain a better sense of ownership in learning.

Peripheral vision benefits spatial learning by guiding eye movements.

Science.gov (United States)

Yamamoto, Naohide; Philbeck, John W

2013-01-01

The loss of peripheral vision impairs spatial learning and navigation. However, the mechanisms underlying these impairments remain poorly understood. One advantage of having peripheral vision is that objects in an environment are easily detected and readily foveated via eye movements. The present study examined this potential benefit of peripheral vision by investigating whether competent performance in spatial learning requires effective eye movements. In Experiment 1, participants learned room-sized spatial layouts with or without restriction on direct eye movements to objects. Eye movements were restricted by having participants view the objects through small apertures in front of their eyes. Results showed that impeding effective eye movements made subsequent retrieval of spatial memory slower and less accurate. The small apertures also occluded much of the environmental surroundings, but the importance of this kind of occlusion was ruled out in Experiment 2 by showing that participants exhibited intact learning of the same spatial layouts when luminescent objects were viewed in an otherwise dark room. Together, these findings suggest that one of the roles of peripheral vision in spatial learning is to guide eye movements, highlighting the importance of spatial information derived from eye movements for learning environmental layouts.

Where Can We Find Teachers Still Excited about the Learning Process?

Science.gov (United States)

McBride, Brian; Yuhasz, Louis; Mollineaux, Bill

1999-01-01

Presents the question, posed by two future English teachers, of how they can continue to cherish the learning process as well as their excitement and passion for English teaching as they enter the profession. Presents a response by a veteran English teacher. (SR)

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

Studies have shown that many Malaysian non-technical students have low motivation in learning ICT course due to a number of reasons, such as a lack of learning practice and effective learning applications. In view of such a problem, the researchers carried out a quasi-experimental study to examine the impact of a novel mobile augmented reality learning application (MARLA) on students’ motivation in learning a topic of a university ICT course. The research was based on the pretest-posttest control group design, and the study sample consisted of 120 non-technical undergraduates majoring in social science, with a mean age of 19.5 years. They were divided into an experimental group and a control group. The dependent variable was students’ motivation in learning, and the independent variables were learning method and gender. The experimental group used MARLA on their mobile devices to learn one of the topics of the ICT Competency course, namely Computer System; whereas the control group used a similar application on their desktop computers. The Intrinsic Motivation Inventory (IMI) was the research instrument used to measure students’ motivation before and after learning sessions, which spanned 6 hours. Utilizing the SPSS (version 21), an analysis of covariance was performed, showing there was a main effect attributed to gender only, with male and female students attaining mean scores of 4.24 and 3.90 respectively for the motivation construct. This finding showed male students were more motivated than their opposite counterparts. In contrast, no such main effect attributed to learning method was observed, as evidenced from the mean scores of 4.08 and 4.07 of the experimental group and control group respectively for the measured construct, suggesting both methods were both equally effective. Additionally, there was an interaction effect between gender and learning method, with male students attaining different levels of motivation based on learning method. Arguably

Some Factors Effected Student's Calculus Learning Outcome

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Rajagukguk, Wamington

2016-01-01

The purpose of this study is to determine the factors effected calculus learning outcome of the student. This study was conducted with 176 respondents, which were selected randomly. The data were obtained by questionnaire, and then analyzed by using multiple regressions, and correlation, at level of a = 0.05. The findings showed there is the…

Digital game based learning: A new method in teaching and learning mathematics

Science.gov (United States)

Hussain, Sayed Yusoff bin Syed; Hoe, Tan Wee; Idris, Muhammad Zaffwan bin

2017-05-01

Digital game-based learning (DGBL) had been regarded as a sound learning strategy in raising pupils' willingness and interest in many disciplines. Normally, video and digital games are used in the teaching and learning mathematics. based on literature, digital games have proven its capability in making pupils motivated and are more likely to contribute to effective learning mathematics. Hence this research aims to construct a DGBL in the teaching of Mathematics for Year 1 pupils. Then, a quasi-experimental study was carried out in a school located in Gua Musang, Kelantan, involving 39 pupils. Specifically, this article tests the effectiveness of the use of DGBL in the teaching of the topic Addition of Less than 100 on pupil's achievement. This research employed a quasi-experiment, Pre and Post Test of Non-equivalent Control Group design. The data were analysed using the Nonparametric test namely the Mann-Whitney U. The research finding shows the use of the DGBL could increase the pupils' achievement in the topic of Addition of Less than 100. In practice, this research indicates that the DBGL can utilized as an alternative reference strategy for Mathematics teacher.

Do Mobile Learning Devices Enhance Learning in Higher Education Anatomy Classrooms?

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Wilkinson, Kate; Barter, Phil

2015-01-01

Recently there has been an increased volume of research and practice of mobile Learning (mLearning) and in particular of the tablet device. The question of how, when and where to best incorporate the tablet device into the learning environment in Higher Education remains largely unanswered. The article presents the findings of an empirical study…

Factors Influencing Learning Environments in an Integrated Experiential Program

Science.gov (United States)

Koci, Peter

The research conducted for this dissertation examined the learning environment of a specific high school program that delivered the explicit curriculum through an integrated experiential manner, which utilized field and outdoor experiences. The program ran over one semester (five months) and it integrated the grade 10 British Columbian curriculum in five subjects. A mixed methods approach was employed to identify the students' perceptions and provide richer descriptions of their experiences related to their unique learning environment. Quantitative instruments were used to assess changes in students' perspectives of their learning environment, as well as other supporting factors including students' mindfulness, and behaviours towards the environment. Qualitative data collection included observations, open-ended questions, and impromptu interviews with the teacher. The qualitative data describe the factors and processes that influenced the learning environment and give a richer, deeper interpretation which complements the quantitative findings. The research results showed positive scores on all the quantitative measures conducted, and the qualitative data provided further insight into descriptions of learning environment constructs that the students perceived as most important. A major finding was that the group cohesion measure was perceived by students as the most important attribute of their preferred learning environment. A flow chart was developed to help the researcher conceptualize how the learning environment, learning process, and outcomes relate to one another in the studied program. This research attempts to explain through the consideration of this case study: how learning environments can influence behavioural change and how an interconnectedness among several factors in the learning process is influenced by the type of learning environment facilitated. Considerably more research is needed in this area to understand fully the complexity learning

ICT for e-learning in three higher education institutions in Tanzania

Directory of Open Access Journals (Sweden)

Michael P. J. Mahenge

2016-03-01

Full Text Available The advancement in Information and Communication Technology (ICT has brought new opportunities for learning. Tanzania is adopting the new technologies in Higher Education Institutions (HEIs through e-learning and m-learning. However, delivery of learning contents is becoming a challenge for HEIs due to the constraints in resources and network bandwidth. This study discussed learners’ perceptions on using e-learning applications and mobile devices for learning in three HEIs in Tanzania. Findings show that majority of the students own more than one mobile devices which can be used as a tool for facilitating the learning process. It is suggested that in order to improve e-learning content delivery and accessibility under limited resource settings, HEIs in developing countries should make an effective use of emerging mobile computing technologies which are relevant to their respective environments.

Dynamics of EEG functional connectivity during statistical learning.

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Tóth, Brigitta; Janacsek, Karolina; Takács, Ádám; Kóbor, Andrea; Zavecz, Zsófia; Nemeth, Dezso

2017-10-01

Statistical learning is a fundamental mechanism of the brain, which extracts and represents regularities of our environment. Statistical learning is crucial in predictive processing, and in the acquisition of perceptual, motor, cognitive, and social skills. Although previous studies have revealed competitive neurocognitive processes underlying statistical learning, the neural communication of the related brain regions (functional connectivity, FC) has not yet been investigated. The present study aimed to fill this gap by investigating FC networks that promote statistical learning in humans. Young adults (N=28) performed a statistical learning task while 128-channels EEG was acquired. The task involved probabilistic sequences, which enabled to measure incidental/implicit learning of conditional probabilities. Phase synchronization in seven frequency bands was used to quantify FC between cortical regions during the first, second, and third periods of the learning task, respectively. Here we show that statistical learning is negatively correlated with FC of the anterior brain regions in slow (theta) and fast (beta) oscillations. These negative correlations increased as the learning progressed. Our findings provide evidence that dynamic antagonist brain networks serve a hallmark of statistical learning. Copyright © 2017 Elsevier Inc. All rights reserved.

Less is more: latent learning is maximized by shorter training sessions in auditory perceptual learning.

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Molloy, Katharine; Moore, David R; Sohoglu, Ediz; Amitay, Sygal

2012-01-01

The time course and outcome of perceptual learning can be affected by the length and distribution of practice, but the training regimen parameters that govern these effects have received little systematic study in the auditory domain. We asked whether there was a minimum requirement on the number of trials within a training session for learning to occur, whether there was a maximum limit beyond which additional trials became ineffective, and whether multiple training sessions provided benefit over a single session. We investigated the efficacy of different regimens that varied in the distribution of practice across training sessions and in the overall amount of practice received on a frequency discrimination task. While learning was relatively robust to variations in regimen, the group with the shortest training sessions (∼8 min) had significantly faster learning in early stages of training than groups with longer sessions. In later stages, the group with the longest training sessions (>1 hr) showed slower learning than the other groups, suggesting overtraining. Between-session improvements were inversely correlated with performance; they were largest at the start of training and reduced as training progressed. In a second experiment we found no additional longer-term improvement in performance, retention, or transfer of learning for a group that trained over 4 sessions (∼4 hr in total) relative to a group that trained for a single session (∼1 hr). However, the mechanisms of learning differed; the single-session group continued to improve in the days following cessation of training, whereas the multi-session group showed no further improvement once training had ceased. Shorter training sessions were advantageous because they allowed for more latent, between-session and post-training learning to emerge. These findings suggest that efficient regimens should use short training sessions, and optimized spacing between sessions.

Errorful and errorless learning: The impact of cue-target constraint in learning from errors.

Science.gov (United States)

Bridger, Emma K; Mecklinger, Axel

2014-08-01

The benefits of testing on learning are well described, and attention has recently turned to what happens when errors are elicited during learning: Is testing nonetheless beneficial, or can errors hinder learning? Whilst recent findings have indicated that tests boost learning even if errors are made on every trial, other reports, emphasizing the benefits of errorless learning, have indicated that errors lead to poorer later memory performance. The possibility that this discrepancy is a function of the materials that must be learned-in particular, the relationship between the cues and targets-was addressed here. Cued recall after either a study-only errorless condition or an errorful learning condition was contrasted across cue-target associations, for which the extent to which the target was constrained by the cue was either high or low. Experiment 1 showed that whereas errorful learning led to greater recall for low-constraint stimuli, it led to a significant decrease in recall for high-constraint stimuli. This interaction is thought to reflect the extent to which retrieval is constrained by the cue-target association, as well as by the presence of preexisting semantic associations. The advantage of errorful retrieval for low-constraint stimuli was replicated in Experiment 2, and the interaction with stimulus type was replicated in Experiment 3, even when guesses were randomly designated as being either correct or incorrect. This pattern provides support for inferences derived from reports in which participants made errors on all learning trials, whilst highlighting the impact of material characteristics on the benefits and disadvantages that accrue from errorful learning in episodic memory.

Great Expectations: Teacher Learning in a National Professional Development Programme

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Armour, Kathleen M.; Makopoulou, Kyriaki

2012-01-01

This paper reports findings from an evaluation of a national continuing professional development (CPD) programme for teachers in England. Data showed that the localised implementation, opportunities for interactive learning, and "collective participation" were positive factors. Research participants reported difficulties, however, in…

Use of Online Learning Resources in the Development of Learning Environments at the Intersection of Formal and Informal Learning: The Student as Autonomous Designer

Directory of Open Access Journals (Sweden)

Maja Lebeničnik

2015-06-01

Full Text Available Learning resources that are used in the education of university students are often available online. The nature of new technologies causes an interweaving of formal and informal learning, with the result that a more active role is expected from students with regard to the use of ICT for their learning. The variety of online learning resources (learning content and learning tools facilitates informed use and enables students to create the learning environment that is most appropriate for their personal learning needs and preferences. In contemporary society, the creation of an inclusive learning environment supported by ICT is pervasive. The model of Universal Design for Learning is becoming increasingly significant in responding to the need for inclusive learning environments. In this article, we categorize different online learning activities into the principles of Universal Design for Learning. This study examines ICT use among university students (N = 138, comparing student teachers with students in other study programs. The findings indicate that among all students, activities with lower demands for engagement are most common. Some differences were observed between student teachers and students from other programs. Student teachers were more likely than their peers to perform certain activities aimed at meeting diverse learner needs, but the percentage of students performing more advanced activities was higher for students in other study programs than for student teachers. The categorization of activities revealed that student teachers are less likely to undertake activities that involve interaction with others. Among the sample of student teachers, we found that personal innovativeness is correlated with diversity of activities in only one category. The results show that student teachers should be encouraged to perform more advanced activities, especially activities involving interaction with others, collaborative learning and use of ICT to

Optimal quantum learning of a unitary transformation

International Nuclear Information System (INIS)

Bisio, Alessandro; Chiribella, Giulio; D'Ariano, Giacomo Mauro; Facchini, Stefano; Perinotti, Paolo

2010-01-01

We address the problem of learning an unknown unitary transformation from a finite number of examples. The problem consists in finding the learning machine that optimally emulates the examples, thus reproducing the unknown unitary with maximum fidelity. Learning a unitary is equivalent to storing it in the state of a quantum memory (the memory of the learning machine) and subsequently retrieving it. We prove that, whenever the unknown unitary is drawn from a group, the optimal strategy consists in a parallel call of the available uses followed by a 'measure-and-rotate' retrieving. Differing from the case of quantum cloning, where the incoherent 'measure-and-prepare' strategies are typically suboptimal, in the case of learning the 'measure-and-rotate' strategy is optimal even when the learning machine is asked to reproduce a single copy of the unknown unitary. We finally address the problem of the optimal inversion of an unknown unitary evolution, showing also in this case the optimality of the 'measure-and-rotate' strategies and applying our result to the optimal approximate realignment of reference frames for quantum communication.

Online incidental statistical learning of audiovisual word sequences in adults: a registered report.

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Kuppuraj, Sengottuvel; Duta, Mihaela; Thompson, Paul; Bishop, Dorothy

2018-02-01

Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to examine whether adults are capable of simultaneously extracting statistical dependencies in a task where stimuli include a range of structures amenable to statistical learning within a single paradigm. We devised an online statistical learning task using real word auditory-picture sequences that vary in two dimensions: (i) predictability and (ii) adjacency of dependent elements. This task was followed by an offline recall task to probe learning of each sequence type. We registered three hypotheses with specific predictions. First, adults would extract regular patterns from continuous stream (effect of grammaticality). Second, within grammatical conditions, they would show differential speeding up for each condition as a factor of statistical complexity of the condition and exposure. Third, our novel approach to measure online statistical learning would be reliable in showing individual differences in statistical learning ability. Further, we explored the relation between statistical learning and a measure of verbal short-term memory (STM). Forty-two participants were tested and retested after an interval of at least 3 days on our novel statistical learning task. We analysed the reaction time data using a novel regression discontinuity approach. Consistent with prediction, participants showed a grammaticality effect, agreeing with the predicted order of difficulty for learning different statistical structures. Furthermore, a learning index from the task showed acceptable test-retest reliability ( r  = 0.67). However, STM did not correlate with statistical learning. We discuss the findings noting the benefits of online measures in tracking the learning process.

Exploring Mobile Technologies for Learning Chinese

Directory of Open Access Journals (Sweden)

Jing Wang

2012-08-01

Full Text Available The present study aimed to reveal how learners of Chinese as a foreign language use mobile technology to study Chinese outside the classroom. Researchers used sociocultural perspectives to frame the study and grounded theory to analyze data. Eleven English-speaking students who had learned Chinese for different years at a midwestern university participated in the study. They answered 23 major questions by submitting journal entries and participating in an interview. Compared with computer assisted language learning, mobile devices bring changes to tutorial functions, social computing, and gaming. Participants heavily explored tutorial functions, used mobile devices differently from computers for social computing, and showed interest in gaming. Although participants were enthusiastic about using mobile devices to learn Chinese, the number of applications they used and the variety of activities they engaged in were limited. Findings suggest that the effective incorporation of mobile devices to learn Chinese depends on collaboration and scaffolding

Learning English with Electronic Textbooks on Tablet PCs

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Lin, Chih-cheng

2017-01-01

Previous studies on electronic textbooks were all survey studies of college students in the U.S.A. Their main findings revealed that using electronic textbooks and using print textbooks showed no statistical differences in learning achievements. As mobile devices became popular in classrooms, the present study was intended to confirm the…

Audiovisual speech facilitates voice learning.

Science.gov (United States)

Sheffert, Sonya M; Olson, Elizabeth

2004-02-01

In this research, we investigated the effects of voice and face information on the perceptual learning of talkers and on long-term memory for spoken words. In the first phase, listeners were trained over several days to identify voices from words presented auditorily or audiovisually. The training data showed that visual information about speakers enhanced voice learning, revealing cross-modal connections in talker processing akin to those observed in speech processing. In the second phase, the listeners completed an auditory or audiovisual word recognition memory test in which equal numbers of words were spoken by familiar and unfamiliar talkers. The data showed that words presented by familiar talkers were more likely to be retrieved from episodic memory, regardless of modality. Together, these findings provide new information about the representational code underlying familiar talker recognition and the role of stimulus familiarity in episodic word recognition.

Intergenerational learning in organizations : An effective way to stimulate older employee learning and development

NARCIS (Netherlands)

dr. Donald Ropes

2014-01-01

Purpose – To illustrate the possibilities of implementing intergenerational learning as a strategy for promoting older worker learning and development. Design/methodology/approach – Review of literature. Findings – Intergenerational learning is theoretically a natural and effective way for

Problems, Challenges and Benefits of Implementing E-learning in Nigerian Universities: An Empirical Study

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Manir Abdullahi Kamba

2009-03-01

Full Text Available This paper tries to examine and discuss the problems, challenges and Benefits of implementing E-Learning in Nigeria by reviewing the consciousness and willingness of the selected Universities. This study also identifies the enabling factors, the traffic-jam and, forecasts the future growth of E-learning in Nigeria. Survey research method was adopted for the study, and questionnaire was the only instrument used for the data collection. The findings of the study show that out of the 18 universities selected from different specialization areas, i.e three universities from each Geopolitical zone, only 12 responded with usable answers. The response rate was 67%, which is an expected rate for such surveys. Awareness of e-learning among the Universities is very high but investment and commitment to develop an e-learning application is very poor and below expectation according to the study. Most of the staff and students in the universities only use Internet related e- learning site just for the sake of finding related information for their researches, since their libraries cannot afford to provide them with adequate and current materials but not for the sake of real online learning. The study also found out that some of the universities have web page and others are in the trend of creating a web page, which is usually for advertisement of the universities but not for the e-leaning activities. Furthermore, the findings also reveal that staff and the students have also been using e-mail and Internet in addition to developing web pages for transaction of students. The Universities are planning to invest number of funds in future in the selected areas of the e-learning application. The Statistical analysis result shows that there are significant differences across both forms of e-learning activities and type of universities in Nigeria.

The Effectiveness of Immersive Multimedia Learning with Peer Support on English Speaking and Reading Aloud

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Asnawi Muslem

2017-01-01

Full Text Available This study investigated the impacts of the immersive multimedia learning strategy with peer support on production skills in reading and speaking. Moreover, the effects of it on performance were investigated by student achievement. The quasiexperimental design with post-test was employed for the study. 80 first-year university students enrolled in English as a foreign language course were selected for this study. Data were analysed using one-way ANOVA. The findings showed that the immersive multimedia learning with peer support group reported significantly better performance in all measures of oral production for reading and speaking. Analyses obtained by achievement showed that the high achievement students in the immersive multimedia learning with peer support group reported significantly better performance in all measures of oral production only for speaking while the low achievement students in the immersive multimedia learning with peer supported group reported significantly better performance in all measures of oral production for reading and speaking. These findings showed that the immersive multimedia technique with peer support reduced the use of codeswitching strategies among the students and enabled them to develop oral production skills in English approaching the patterns of native speakers especially among low achievement students.

Enhancing Community Service Learning Via Practical Learning Communities

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Ilana Ronen

2015-02-01

Full Text Available The advantages of learning communities focused on analyzing social issues and educational repercussions in the field are presented in this study. The research examines the contribution of a learning community to enhancing student teachers' responsibility and their social involvement. The assumption was that participating in learning community would further implement student teachers' community social involvement while enhancing responsibility in their field of action. A questionnaire aimed to present the student teachers' attitudes involving all aspects of studying in the learning community and their social activity in the community was conducted. The findings pinpointed that there were positive contributions of the learning communities from a personal aspect such as developing self-learning, and learning about “me”, as well as broaden their teaching skills, through methodology for teacher training, and developing reflective thought. These insights can also be implemented in various educational frameworks and during service learning as part of teacher training.

Predicting Knowledge Workers' Participation in Voluntary Learning with Employee Characteristics and Online Learning Tools

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Hicks, Catherine

2018-01-01

Purpose: This paper aims to explore predicting employee learning activity via employee characteristics and usage for two online learning tools. Design/methodology/approach: Statistical analysis focused on observational data collected from user logs. Data are analyzed via regression models. Findings: Findings are presented for over 40,000…

Museum signage as distributed mediation to encourage family learning

Science.gov (United States)

Kim, Kyungyoun

Many prior studies conducted in museums have focused primarily on exhibits as the main objects for learning. Less progress has been made in studying signage as another meaning-making tool in museums. The present study was designed to understand the role of signage in family learning by answering the following research questions, "How does signage about exhibit content or interaction strategies affect parents' and children's learning and their engagement?" and "What is the role of parent prior knowledge on parents' and children's learning and their engagement?" To address these questions, 45 parent-child dyads with children aged six to seven years were recruited to engage with two exhibits about cars. Fifteen parent-child dyads were assigned to each of three conditions, created by two different types of signage: (1) Content and interaction signage condition, (2) Content signage condition, and (3) No signage condition. In each condition, eight parents with low knowledge in the car domain and seven parents with high knowledge were recruited. Findings showed that parents and children learned and engaged differently across the three signage conditions. Both children and parents in the conditions with signage learned more than children and parents in the no signage condition. By using information from signage, parents in the two signage conditions were able to identify the content of the exhibit more quickly and to shape appropriate educational messages in their conversations with children. Findings also showed that parents with high knowledge were more likely to have the exhibit-focused engagement, which was often oriented to their own interpretation and not always beneficial for children's learning. However, by showing that parent-child dyads in the content and interaction signage condition were most likely to operate and observe the exhibit appropriately and most likely to describe evidence and make appropriate inferences, this study suggested that the interaction

Learning from Errors

OpenAIRE

Martínez-Legaz, Juan Enrique; Soubeyran, Antoine

2003-01-01

We present a model of learning in which agents learn from errors. If an action turns out to be an error, the agent rejects not only that action but also neighboring actions. We find that, keeping memory of his errors, under mild assumptions an acceptable solution is asymptotically reached. Moreover, one can take advantage of big errors for a faster learning.

Disorders of compulsivity: a common bias towards learning habits.

Science.gov (United States)

Voon, V; Derbyshire, K; Rück, C; Irvine, M A; Worbe, Y; Enander, J; Schreiber, L R N; Gillan, C; Fineberg, N A; Sahakian, B J; Robbins, T W; Harrison, N A; Wood, J; Daw, N D; Dayan, P; Grant, J E; Bullmore, E T

2015-03-01

Why do we repeat choices that we know are bad for us? Decision making is characterized by the parallel engagement of two distinct systems, goal-directed and habitual, thought to arise from two computational learning mechanisms, model-based and model-free. The habitual system is a candidate source of pathological fixedness. Using a decision task that measures the contribution to learning of either mechanism, we show a bias towards model-free (habit) acquisition in disorders involving both natural (binge eating) and artificial (methamphetamine) rewards, and obsessive-compulsive disorder. This favoring of model-free learning may underlie the repetitive behaviors that ultimately dominate in these disorders. Further, we show that the habit formation bias is associated with lower gray matter volumes in caudate and medial orbitofrontal cortex. Our findings suggest that the dysfunction in a common neurocomputational mechanism may underlie diverse disorders involving compulsion.

Muscle cocontraction following dynamics learning.

Science.gov (United States)

Darainy, Mohammad; Ostry, David J

2008-09-01

Coactivation of antagonist muscles is readily observed early in motor learning, in interactions with unstable mechanical environments and in motor system pathologies. Here we present evidence that the nervous system uses coactivation control far more extensively and that patterns of cocontraction during movement are closely tied to the specific requirements of the task. We have examined the changes in cocontraction that follow dynamics learning in tasks that are thought to involve finely sculpted feedforward adjustments to motor commands. We find that, even following substantial training, cocontraction varies in a systematic way that depends on both movement direction and the strength of the external load. The proportion of total activity that is due to cocontraction nevertheless remains remarkably constant. Moreover, long after indices of motor learning and electromyographic measures have reached asymptotic levels, cocontraction still accounts for a significant proportion of total muscle activity in all phases of movement and in all load conditions. These results show that even following dynamics learning in predictable and stable environments, cocontraction forms a central part of the means by which the nervous system regulates movement.

Learning Robotics in a Science Museum Theatre Play: Investigation of Learning Outcomes, Contexts and Experiences

Science.gov (United States)

Peleg, Ran; Baram-Tsabari, Ayelet

2017-12-01

Theatre is often introduced into science museums to enhance visitor experience. While learning in museums exhibitions received considerable research attention, learning from museum theatre has not. The goal of this exploratory study was to investigate the potential educational role of a science museum theatre play. The study aimed to investigate (1) cognitive learning outcomes of the play, (2) how these outcomes interact with different viewing contexts and (3) experiential learning outcomes through the theatrical experience. The play `Robot and I', addressing principles in robotics, was commissioned by a science museum. Data consisted of 391 questionnaires and interviews with 47 children and 20 parents. Findings indicate that explicit but not implicit learning goals were decoded successfully. There was little synergy between learning outcomes of the play and an exhibition on robotics, demonstrating the effect of two different physical contexts. Interview data revealed that prior knowledge, experience and interest played a major role in children's understanding of the play. Analysis of the theatrical experience showed that despite strong identification with the child protagonist, children often doubted the protagonist's knowledge jeopardizing integration of scientific content. The study extends the empirical knowledge and theoretical thinking on museum theatre to better support claims of its virtues and respond to their criticism.

Active Learning by Querying Informative and Representative Examples.

Science.gov (United States)

Huang, Sheng-Jun; Jin, Rong; Zhou, Zhi-Hua

2014-10-01

Active learning reduces the labeling cost by iteratively selecting the most valuable data to query their labels. It has attracted a lot of interests given the abundance of unlabeled data and the high cost of labeling. Most active learning approaches select either informative or representative unlabeled instances to query their labels, which could significantly limit their performance. Although several active learning algorithms were proposed to combine the two query selection criteria, they are usually ad hoc in finding unlabeled instances that are both informative and representative. We address this limitation by developing a principled approach, termed QUIRE, based on the min-max view of active learning. The proposed approach provides a systematic way for measuring and combining the informativeness and representativeness of an unlabeled instance. Further, by incorporating the correlation among labels, we extend the QUIRE approach to multi-label learning by actively querying instance-label pairs. Extensive experimental results show that the proposed QUIRE approach outperforms several state-of-the-art active learning approaches in both single-label and multi-label learning.

Lifelong Learning Organisers: Requirements for Tools for Supporting Episodic and Semantic Learning

Science.gov (United States)

Vavoula, Giasemi; Sharples, Mike

2009-01-01

We propose Lifelong Learning Organisers (LLOs) as tools to support the capturing, organisation and retrieval of personal learning experiences, resources and notes, over a range of learning topics, at different times and places. The paper discusses general requirements for the design of LLOs based on findings from a diary-based study of everyday…

Learning of pitch and time structures in an artificial grammar setting.

Science.gov (United States)

Prince, Jon B; Stevens, Catherine J; Jones, Mari Riess; Tillmann, Barbara

2018-04-12

Despite the empirical evidence for the power of the cognitive capacity of implicit learning of structures and regularities in several modalities and materials, it remains controversial whether implicit learning extends to the learning of temporal structures and regularities. We investigated whether (a) an artificial grammar can be learned equally well when expressed in duration sequences as when expressed in pitch sequences, (b) learning of the artificial grammar in either duration or pitch (as the primary dimension) sequences can be influenced by the properties of the secondary dimension (invariant vs. randomized), and (c) learning can be boosted when the artificial grammar is expressed in both pitch and duration. After an exposure phase with grammatical sequences, learning in a subsequent test phase was assessed in a grammaticality judgment task. Participants in both the pitch and duration conditions showed incidental (not fully implicit) learning of the artificial grammar when the secondary dimension was invariant, but randomizing the pitch sequence prevented learning of the artificial grammar in duration sequences. Expressing the artificial grammar in both pitch and duration resulted in disproportionately better performance, suggesting an interaction between the learning of pitch and temporal structure. The findings are relevant to research investigating the learning of temporal structures and the learning of structures presented simultaneously in 2 dimensions (e.g., space and time, space and objects). By investigating learning, the findings provide further insight into the potential specificity of pitch and time processing, and their integrated versus independent processing, as previously debated in music cognition research. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Learning to make collective decisions: the impact of confidence escalation.

Science.gov (United States)

Mahmoodi, Ali; Bang, Dan; Ahmadabadi, Majid Nili; Bahrami, Bahador

2013-01-01

Little is known about how people learn to take into account others' opinions in joint decisions. To address this question, we combined computational and empirical approaches. Human dyads made individual and joint visual perceptual decision and rated their confidence in those decisions (data previously published). We trained a reinforcement (temporal difference) learning agent to get the participants' confidence level and learn to arrive at a dyadic decision by finding the policy that either maximized the accuracy of the model decisions or maximally conformed to the empirical dyadic decisions. When confidences were shared visually without verbal interaction, RL agents successfully captured social learning. When participants exchanged confidences visually and interacted verbally, no collective benefit was achieved and the model failed to predict the dyadic behaviour. Behaviourally, dyad members' confidence increased progressively and verbal interaction accelerated this escalation. The success of the model in drawing collective benefit from dyad members was inversely related to confidence escalation rate. The findings show an automated learning agent can, in principle, combine individual opinions and achieve collective benefit but the same agent cannot discount the escalation suggesting that one cognitive component of collective decision making in human may involve discounting of overconfidence arising from interactions.

Connecting Formal and Informal Learning Experiences

Science.gov (United States)

O'Mahony, Timothy Kieran

posttests, progressive self-assessments, and ethnographic observations. Since I argue that the idea of learning from experience is underspecified, I present empirical findings to show that experience per se is not enough. I discuss tools and other artifacts that help learners notice key dimensions of their experiences, and demonstrate how they link these to other aspects of their culture and lives. Findings indicate that a mediated approach does in fact help students outperform participants who only received the experience. A time for telling was also advantageous for students to improve learning and using technology to reduce cognitive load was instrumental in further improving their learning. Future plans are discussed to follow up on these findings and to implement new tests as the dams are removed and the natural habitat is restored.

Virtual Learning Environments and Learning Forms -experiments in ICT-based learning

DEFF Research Database (Denmark)

Helbo, Jan; Knudsen, Morten

2004-01-01

This paper report the main results of a three year experiment in ICT-based distance learning. The results are based on a full scale experiment in the education, Master of Industrial Information Technology (MII) and is one of many projects deeply rooted in the project Virtual Learning Environments...... didactic model has until now been a positive experience........ The main problem is that we do not find the same self regulatoring learning effect in the group work among the off-campus students as is the case for on-campus students. Based on feedback from evaluation questionnaires and discussions with the students didactic adjustments have been made. The revised...

How people learn in an asynchronous online learning environment: The relationships between graduate students’ learning strategies and learning satisfaction | Comment apprennent les gens dans un environnement d’apprentissage en ligne asynchrone

Directory of Open Access Journals (Sweden)

Beomkyu Choi

2016-04-01

Full Text Available The purpose of this study was to examine the relationships between learners’ learning strategies and learning satisfaction in an asynchronous online learning environment, in an attempt to shed some light on how people learn in an online learning environment. One hundred and sixteen graduate students who were taking online learning courses participated in this study. The result revealed that ‘metacognitive strategy’ and ‘time and study environment’ had positive correlations with learners’ satisfaction, while ‘help seeking’ had a negative correlation. The findings of a multiple regression analysis showed that ‘metacognitive strategy’ and ‘peer learning’ led to learners’ satisfaction in an online learning environment. The findings of this study contribute to a better understanding of how successful learning occurs in an online learning environment, and provide recommendations on designing an effective online learning. L’objet de cette étude était d’examiner les relations entre les stratégies d’apprentissage des apprenants et la satisfaction liée à l’apprentissage dans un environnement asynchrone d’apprentissage en ligne, dans le but de faire la lumière sur les façons dont les gens apprennent dans un environnement d’apprentissage en ligne. Cent seize étudiants aux cycles supérieurs qui suivaient des cours en ligne ont pris part à cette étude. Les résultats ont révélé que la « stratégie métacognitive » et « le moment et l’environnement pour l’étude » avaient des corrélations positives avec la satisfaction des apprenants, alors que « demander de l’aide » avait une corrélation négative. Les conclusions d’une analyse de régression multiple ont démontré que la « stratégie métacognitive » et « l’apprentissage entre pairs » avaient des corrélations positives avec la satisfaction des apprenants dans un environnement d’apprentissage en ligne. Les conclusions de cette �

In Search of New Metaphors: E-learning as Hypertext

DEFF Research Database (Denmark)

Nortvig, Anne-Mette

2015-01-01

indicate that teaching and learning are seen as activities that take place when the teacher and the students are together. However, when the use of technology and access to a ubiquitous Internet become a part of everyday teaching and learning, new metaphors are needed if we are to speak adequately about...... with the teachers, and participation in e-learning design workshops. The findings showed that teaching in relation to e-learning was oftentimes understood through the metaphor of hypertext with hyperlinks leading to podcasts, videos, and other resources on the Internet, which the students accessed from home......People use metaphors in their daily communication to explain complicated matters and express meanings and understandings. Metaphors define our everyday realities and guide our thoughts and actions. Traditionally, specific metaphors have been related to teaching and learning: a teacher is often...

Adapting Parameterized Motions using Iterative Learning and Online Collision Detection

DEFF Research Database (Denmark)

Laursen, Johan Sund; Sørensen, Lars Carøe; Schultz, Ulrik Pagh

2018-01-01

utilizing Gaussian Process learning. This allows for motion parameters to be optimized using real world trials which incorporate all uncertainties inherent in the assembly process without requiring advanced robot and sensor setups. The result is a simple and straightforward system which helps the user...... automatically find robust and uncertainty-tolerant motions. We present experiments for an assembly case showing both detection and learning in the real world and how these combine to a robust robot system....

Native-language N400 and P600 predict dissociable language-learning abilities in adults

Science.gov (United States)

Qi, Zhenghan; Beach, Sara D.; Finn, Amy S.; Minas, Jennifer; Goetz, Calvin; Chan, Brian; Gabrieli, John D.E.

2018-01-01

Language learning aptitude during adulthood varies markedly across individuals. An individual’s native-language ability has been associated with success in learning a new language as an adult. However, little is known about how native-language processing affects learning success and what neural markers of native-language processing, if any, are related to success in learning. We therefore related variation in electrophysiology during native-language processing to success in learning a novel artificial language. Event-related potentials (ERPs) were recorded while native English speakers judged the acceptability of English sentences prior to learning an artificial language. There was a trend towards a double dissociation between native-language ERPs and their relationships to novel syntax and vocabulary learning. Individuals who exhibited a greater N400 effect when processing English semantics showed better future learning of the artificial language overall. The N400 effect was related to syntax learning via its specific relationship to vocabulary learning. In contrast, the P600 effect size when processing English syntax predicted future syntax learning but not vocabulary learning. These findings show that distinct neural signatures of native-language processing relate to dissociable abilities for learning novel semantic and syntactic information. PMID:27737775

Quality of Learning Facilities and Learning Environment: Challenges for Teaching and Learning in Kenya's Public Universities

Science.gov (United States)

Ndirangu, Mwangi; Udoto, Maurice O.

2011-01-01

Purpose: The purpose of this article is to report findings on the perceptions of quality of educational facilities in Kenyan public universities, and the implications for teaching/learning, and the learning environment. Design/methodology/approach: The study adopted an exploratory descriptive design. A total of 332 and 107 undergraduate students…

Social learning in humans and other animals.

Directory of Open Access Journals (Sweden)

Jean-François eGariépy

2014-03-01

Full Text Available Decisions made by individuals can be influenced by what others think and do. Social learning includes a wide array of behaviors such as imitation, observational learning of novel foraging techniques, peer or parental influences on individual preferences, as well as outright teaching. These processes are believed to underlie an important part of cultural variation among human populations and may also explain intraspecific variation in behavior between geographically distinct populations of animals. Recent neurobiological studies have begun to uncover the neural basis of social learning. Here we review experimental evidence from the past few decades showing that social learning is a widespread set of skills present in multiple animal species. In mammals, the temporoparietal junction, the dorsomedial and dorsolateral prefrontal cortex, as well as the anterior cingulate gyrus, appear to play critical roles in social learning. Birds, fish and insects also learn from others, but the underlying neural mechanisms remain poorly understood. We discuss the evolutionary implications of these findings and highlight the importance of emerging animal models that permit precise modification of neural circuit function for elucidating the neural basis of social learning.

Invited Reaction: Influences of Formal Learning, Personal Learning Orientation, and Supportive Learning Environment on Informal Learning

Science.gov (United States)

Cseh, Maria; Manikoth, Nisha N.

2011-01-01

As the authors of the preceding article (Choi and Jacobs, 2011) have noted, the workplace learning literature shows evidence of the complementary and integrated nature of formal and informal learning in the development of employee competencies. The importance of supportive learning environments in the workplace and of employees' personal learning…

Learning and motivation in the human striatum.

Science.gov (United States)

Shohamy, Daphna

2011-06-01

The past decade has seen a dramatic change in our understanding of the role of the striatum in behavior. Early perspectives emphasized a role for the striatum in habitual learning of stimulus-response associations and sequences of actions. Recent advances from human neuroimaging research suggest a broader role for the striatum in motivated learning. New findings demonstrate that the striatum represents multiple learning signals and highlight the contribution of the striatum across many cognitive domains and contexts. Recent findings also emphasize interactions between the striatum and other specialized brain systems for learning. Together, these findings suggest that the striatum contributes to a distributed network that learns to select actions based on their predicted value in order to optimize behavior. Copyright © 2011 Elsevier Ltd. All rights reserved.

The effectiveness of web-delivered learning with aboriginal students: Findings from a study in coastal Labrador

Directory of Open Access Journals (Sweden)

David Philpott

2010-07-01

Full Text Available This paper outlines the findings of a study that explores perspectives of e-learning for aboriginal students in five coastal communities in Labrador, Canada. The rural nature of many communities in the province of Newfoundland and Labrador, coupled with a dramatically declining enrollment, has resulted in expanding use of e-learning as a means to provide quality high school curriculum. Recently, a Community University Research Alliance partnered with stakeholders to explore the success of e-learning in the province. Through one of the projects of this alliance, the authors examined the success of this mode of delivery for aboriginal students from the perspective of the students themselves, as well as the perspective of parents and educators. Additionally, student performance was examined in comparison to provincial peers. A wealth of data emerged which affords insights into factors that support and hinder e-learning in coastal areas and also informs educators about the diverse learning characteristics and needs of aboriginal students. As Canadian educators are increasingly challenged to address achievement issues that continue to characterize aboriginal populations, this study offers important data on the viability of e-learning as a mode of curriculum delivery. Résumé : Cet article présente les résultats d’une étude qui explore les perspectives de l’apprentissage en ligne pour les élèves autochtones dans cinq collectivités côtières du Labrador, Canada. Le caractère rural d’un grand nombre de collectivités de la province de Terre-Neuve-et-Labrador, jumelé à une baisse spectaculaire de la scolarisation, a mené à une utilisation accrue de l’apprentissage en ligne comme solution permettant d’assurer un curriculum de qualité au secondaire. Récemment, une alliance de recherche université-communauté a travaillé de pair avec les intervenants afin d’étudier les résultats de l’apprentissage en ligne dans la province

A Web-Based Learning Support System for Inquiry-Based Learning

Science.gov (United States)

Kim, Dong Won; Yao, Jingtao

The emergence of the Internet and Web technology makes it possible to implement the ideals of inquiry-based learning, in which students seek truth, information, or knowledge by questioning. Web-based learning support systems can provide a good framework for inquiry-based learning. This article presents a study on a Web-based learning support system called Online Treasure Hunt. The Web-based learning support system mainly consists of a teaching support subsystem, a learning support subsystem, and a treasure hunt game. The teaching support subsystem allows instructors to design their own inquiry-based learning environments. The learning support subsystem supports students' inquiry activities. The treasure hunt game enables students to investigate new knowledge, develop ideas, and review their findings. Online Treasure Hunt complies with a treasure hunt model. The treasure hunt model formalizes a general treasure hunt game to contain the learning strategies of inquiry-based learning. This Web-based learning support system empowered with the online-learning game and founded on the sound learning strategies furnishes students with the interactive and collaborative student-centered learning environment.

Authoring of Learning Objects in Context

Science.gov (United States)

Specht, Marcus; Kravcik, Milos

2006-01-01

Learning objects and content interchange standards provide new possibilities for e-learning. Nevertheless the content often lacks context data to find appropriate use for adaptive learning on demand and personalized learning experiences. In the Remotely Accessible Field Trips (RAFT) project mobile authoring of learning content in context has shown…

Leadership development through action learning sets: an evaluation study.

Science.gov (United States)

Walia, Surinder; Marks-Maran, Di

2014-11-01

This article examines the use of action learning sets in a leadership module delivered by a university in south east England. An evaluation research study was undertaking using survey method to evaluate student engagement with action learning sets, and their value, impact and sustainability. Data were collected through a questionnaire with a mix of Likert-style and open-ended questions and qualitative and quantitative data analysis was undertaken. Findings show that engagement in the action learning sets was very high. Action learning sets also had a positive impact on the development of leadership knowledge and skills and are highly valued by participants. It is likely that they would be sustainable as the majority would recommend action learning to colleagues and would consider taking another module that used action learning sets. When compared to existing literature on action learning, this study offers new insights as there is little empirical literature on student engagement with action learning sets and even less on value and sustainability. Copyright © 2014 Elsevier Ltd. All rights reserved.

Pengembangan Pendidikan Karakter Dalam Mata Kuliah Evaluasi Pembelajaran Melalui Pendekatan Deep Approach to Learning

OpenAIRE

Suryani, Nanik; Pramushinto, Hengky

2012-01-01

The objectives of this study are to find and to test the model of characters education in Learning Evaluation Subject through deep approach to learning. The subject of the study is the class of Learning Evaluation of Office Administration Program, Economics Education Department, Economics Faculty, Semarang State University. The data are collected by a test, and then analyzed by qualitative descriptive. The result of this study showed that the model of characters education through deep approac...

Students' perspectives on e-learning and the use of a virtual learning environment in dance education

NARCIS (Netherlands)

Leijen, Ä.|info:eu-repo/dai/nl/304838446; Admiraal, W.|info:eu-repo/dai/nl/120226340; Wildschut, L.; Simons, P.R.J.|info:eu-repo/dai/nl/068032994

2008-01-01

The aim of the study was to find out how dance students experienced learning in an international distance education program delivered in an e-learning format using a virtual learning environment platform. In order to organize the students’ experiences with the various learning assignments, we

Toward Mobile Assisted Language Learning Apps for Professionals That Integrate Learning into the Daily Routine

Science.gov (United States)

Pareja-Lora, Antonio; Arús-Hita, Jorge; Read, Timothy; Rodríguez-Arancón, Pilar; Calle-Martínez, Cristina; Pomposo, Lourdes; Martín-Monje, Elena; Bárcena, Elena

2013-01-01

In this short paper, we present some initial work on Mobile Assisted Language Learning (MALL) undertaken by the ATLAS research group. ATLAS embraced this multidisciplinary field cutting across Mobile Learning and Computer Assisted Language Learning (CALL) as a natural step in their quest to find learning formulas for professional English that…

Formalized Informal Learning

DEFF Research Database (Denmark)

Levinsen, Karin Tweddell; Sørensen, Birgitte Holm

2013-01-01

are examined and the relation between network society competences, learners’ informal learning strategies and ICT in formalized school settings over time is studied. The authors find that aspects of ICT like multimodality, intuitive interaction design and instant feedback invites an informal bricoleur approach....... When integrated into certain designs for teaching and learning, this allows for Formalized Informal Learning and support is found for network society competences building....

Adults Learn in a Different Way

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Ema Perme

1996-12-01

Full Text Available Due to demand of praxis a new programme on a field of adult education has been created. The advisers at Job Centre in Maribor have namely established the fact that there is a great number of unemployed who take part in different educational programmes to become more competitive on labour market and whose motivation for further learning/education is on a very low level. The presence of fear in them can also be connected with the lack of knowledge of different learning techniques. • Adults Learn in a Different Way' is a programme designed to help those with motivation problems and/or problems with using appropriate learning techniques. During the 16 hour programme participants work on the following topics: • ways the adults learn, • the significance of different learning types, • importance of music for more successful learning, • strategies for making learning plan, • learning techniques with an emphasis on mindmaping, • how to define concrete learning goals, • how to reach goals concerning our own personal significance and abilities. Seven experimental realisations in the past year showed some very encouraging results. With the help of anonymous questionnaires and personal talks with participants 6 months after they had attended the programme we got first feedback information. All the participants find the programme useful and the content of it helpful for making their own learning plan and strategies. They are able to concentrate better, they are able to reach their learning goals step by step as planned and they would all recommend the programme to their friends and acquaintances.

SCAFFOLDING IN CONNECTIVIST MOBILE LEARNING ENVIRONMENT

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Ozlem OZAN

2013-04-01

Full Text Available Social networks and mobile technologies are transforming learning ecology. In this changing learning environment, we find a variety of new learner needs. The aim of this study is to investigate how to provide scaffolding to the learners in connectivist mobile learning environment: Ø to learn in a networked environment, Ø to manage their networked learning process, Ø to interact in a networked society, and Ø to use the tools belonging to the network society. The researcher described how Vygotsky's “scaffolding” concept, Berge’s “learner support” strategies, and Siemens’ “connectivism” approach can be used together to satisfy mobile learners’ needs. A connectivist mobile learning environment was designed for the research, and the research was executed as a mixed-method study. Data collection tools were Facebook wall entries, personal messages, chat records; Twitter, Diigo, blog entries; emails, mobile learning management system statistics, perceived learning survey and demographic information survey. Results showed that there were four major aspects of scaffolding in connectivist mobile learning environment as type of it, provider of it, and timing of it and strategies of it. Participants preferred mostly social scaffolding, and then preferred respectively, managerial, instructional and technical scaffolding. Social scaffolding was mostly provided by peers, and managerial scaffolding was mostly provided by instructor. Use of mobile devices increased the learner motivation and interest. Some participants stated that learning was more permanent by using mobile technologies. Social networks and mobile technologies made it easier to manage the learning process and expressed a positive impact on perceived learning.

Grammar predicts procedural learning and consolidation deficits in children with Specific Language Impairment.

Science.gov (United States)

Hedenius, Martina; Persson, Jonas; Tremblay, Antoine; Adi-Japha, Esther; Veríssimo, João; Dye, Cristina D; Alm, Per; Jennische, Margareta; Bruce Tomblin, J; Ullman, Michael T

2011-01-01

The Procedural Deficit Hypothesis (PDH) posits that Specific Language Impairment (SLI) can be largely explained by abnormalities of brain structures that subserve procedural memory. The PDH predicts impairments of procedural memory itself, and that such impairments underlie the grammatical deficits observed in the disorder. Previous studies have indeed reported procedural learning impairments in SLI, and have found that these are associated with grammatical difficulties. The present study extends this research by examining consolidation and longer-term procedural sequence learning in children with SLI. The Alternating Serial Reaction Time (ASRT) task was given to children with SLI and typically developing (TD) children in an initial learning session and an average of three days later to test for consolidation and longer-term learning. Although both groups showed evidence of initial sequence learning, only the TD children showed clear signs of consolidation, even though the two groups did not differ in longer-term learning. When the children were re-categorized on the basis of grammar deficits rather than broader language deficits, a clearer pattern emerged. Whereas both the grammar impaired and normal grammar groups showed evidence of initial sequence learning, only those with normal grammar showed consolidation and longer-term learning. Indeed, the grammar-impaired group appeared to lose any sequence knowledge gained during the initial testing session. These findings held even when controlling for vocabulary or a broad non-grammatical language measure, neither of which were associated with procedural memory. When grammar was examined as a continuous variable over all children, the same relationships between procedural memory and grammar, but not vocabulary or the broader language measure, were observed. Overall, the findings support and further specify the PDH. They suggest that consolidation and longer-term procedural learning are impaired in SLI, but that these

Grammar Predicts Procedural Learning and Consolidation Deficits in Children with Specific Language Impairment

Science.gov (United States)

Hedenius, Martina; Persson, Jonas; Tremblay, Antoine; Adi-Japha, Esther; Veríssimo, João; Dye, Cristina D.; Alm, Per; Jennische, Margareta; Tomblin, J. Bruce; Ullman, Michael T.

2011-01-01

The Procedural Deficit Hypothesis (PDH) posits that Specific Language Impairment (SLI) can be largely explained by abnormalities of brain structures that subserve procedural memory. The PDH predicts impairments of procedural memory itself, and that such impairments underlie the grammatical deficits observed in the disorder. Previous studies have indeed reported procedural learning impairments in SLI, and have found that these are associated with grammatical difficulties. The present study extends this research by examining the consolidation and longer-term procedural sequence learning in children with SLI. The Alternating Serial Reaction Time (ASRT) task was given to children with SLI and typically-developing (TD) children in an initial learning session and an average of three days later to test for consolidation and longer-term learning. Although both groups showed evidence of initial sequence learning, only the TD children showed clear signs of consolidation, even though the two groups did not differ in longer-term learning. When the children were re-categorized on the basis of grammar deficits rather than broader language deficits, a clearer pattern emerged. Whereas both the grammar impaired and normal grammar groups showed evidence of initial sequence learning, only those with normal grammar showed consolidation and longer-term learning. Indeed, the grammar-impaired group appeared to lose any sequence knowledge gained during the initial testing session. These findings held even when controlling for vocabulary or a broad non-grammatical language measure, neither of which were associated with procedural memory. When grammar was examined as a continuous variable over all children, the same relationships between procedural memory and grammar, but not vocabulary or the broader language measure, were observed. Overall, the findings support and further specify the PDH. They suggest that consolidation and longer-term procedural learning are impaired in SLI, but that

Radiologic findings of sacroiliitis : emphasis on MR findings

International Nuclear Information System (INIS)

Yang, Ik; Park, Hai Jung; Lee, Yul; Chung, Soo Young; Park, Jong Ho

1997-01-01

To compare the characteristic MR findings of infectious sacroiliitis (IS) and ankylosing spondylitis (AS). We retrospectively reviewed MR findings in eight patients with IS (pyogenic in six, tuberculosis in two) confirmed by culture and clinical follow-up, and in six with AS by HLA-B27 typing. AA control group of 13 asymptomatic volunteers was formed, and they underwent MRI Findings were analysed for morphology, degree of bone erosion, and adjacent soft tissue change. CT findings of AS in four patients and IS in four were also compared to MR findings. MR characteristics of IS included unilaterality (100%), abnormal cartilage signal intensity (100%), bone marrow change (100%), contrast enhancement (100%), erosion (63%), and soft tissue change (63%). MR findings of AS showed bilaterality (67%), abnormal cartilage signal intensity (80%), bone marrow change (80%), erosion (80%), contrast enhancement (44%) and soft tissue change (10%). CT scan showed bony sclerosis and erosion (86%), and abnormal joint space (71%). MR findings of sacroiliitis were loss of thin zone of a cartilage and erosions on T1-weighted image, and increased signal intensity on T2-weighted image. MRI is regarded as a useful diagnostic method where conventional diagnosis is difficult, and is able to image cartilage abnormalities directly and noninvasively. Significant differences in MR findings between IS and AS were not noted, however

An Intervention Model of Constructive Conflict Resolution and Cooperative Learning.

Science.gov (United States)

Zhang, Quanwu

1994-01-01

Tests an intervention model of constructive conflict resolution (CCR) and cooperative learning in three urban high schools. Findings show that improvements in CCR increased social support and decreased victimization for the students. These changes improved student's attitudes, self-esteem, interpersonal relations, and academic achievement. (GLR)

Defining difficult laryngoscopy findings by using multiple parameters: A machine learning approach

Directory of Open Access Journals (Sweden)

Moustafa Abdelaziz Moustafa

2017-04-01

Conclusion: “Alex Difficult Laryngoscopy Software” (ADLS is a machine learning program for prediction of difficult laryngoscopy. New cases can be entered to the training set thus improving the accuracy of the software.

The Relationship Between Artificial and Second Language Learning.

Science.gov (United States)

Ettlinger, Marc; Morgan-Short, Kara; Faretta-Stutenberg, Mandy; Wong, Patrick C M

2016-05-01

Artificial language learning (ALL) experiments have become an important tool in exploring principles of language and language learning. A persistent question in all of this work, however, is whether ALL engages the linguistic system and whether ALL studies are ecologically valid assessments of natural language ability. In the present study, we considered these questions by examining the relationship between performance in an ALL task and second language learning ability. Participants enrolled in a Spanish language class were evaluated using a number of different measures of Spanish ability and classroom performance, which was compared to IQ and a number of different measures of ALL performance. The results show that success in ALL experiments, particularly more complex artificial languages, correlates positively with indices of L2 learning even after controlling for IQ. These findings provide a key link between studies involving ALL and our understanding of second language learning in the classroom. Copyright © 2015 Cognitive Science Society, Inc.

"Vámonos means go, but that's made up for the show": reality confusions and learning from educational TV.

Science.gov (United States)

Mares, Marie-Louise; Sivakumar, Gayathri

2014-11-01

Educational television for young children often combines factual content with fantasy. In 2 experiments, we examined 3- to 5-year-olds' reality judgments and the implications for their learning. In the 1st study, 145 children watched 3 clips featuring (respectively) a Hispanic, a Chinese American, and an Anglo character. Responses indicated age differences in character-reality judgments (e.g., "X can hear me"), acceptance of fantasy (e.g., talking backpacks), rejection of factual content (i.e., Spanish and Chinese words are "just pretend") but not perceived learning. Perceived reality of Chinese and Spanish words used by the characters partially mediated age differences in word comprehension, controlling for viewer ethnicity. In the 2nd study, 114 children were randomly assigned to see clips featuring either Hispanic or Chinese traditions and words. Age differences in reality judgments were replicated and were partially mediated by children's use of evidence or arguments to justify reality judgments and (to a lesser extent) by their cognitive flexibility. Further, children's reality judgments partially mediated age differences in learning of the educational content. Results suggest that reality distinctions improve with age, contributing to children's learning. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Teaching and Learning Styles in Higher Education: Analysis of Student Teachers’ Preferences in an English Pedagogy Program at Three Chilean Universities

Directory of Open Access Journals (Sweden)

Constanza Rojas-Jara

2016-09-01

Full Text Available This paper shows the findings of a study conducted in three Chilean universities in 2014. It aims to analyze EFL student teachers’ preferences regarding their teaching and learning styles. 279 participants answered the teaching style inventory and 238 took the learning style questionnaire. These participants are first, third and fifth year student-teachers. This study uses Grasha and Riechman’s model to study teaching and learning styles. These authors propose a classification, cluster grouping and integrated clustering (Lewis, 2014; Grasha y Riechmann, 1975. The findings reveal that all student teachers favor the Facilitator teaching style and the Collaborative learning style.

Using Facebook to Promote Learning: A Case Study

Science.gov (United States)

Schoper, Sarah E.; Hill, Aaron R.

2017-01-01

A growing body of research is examining the use of social media on college campuses. This study explores the use of one social media outlet, specifically Facebook's closed group feature, in two graduate courses. Findings show that using Facebook can promote student learning. Students used the groups for sharing ideas and support, asking questions,…

Impaired implicit learning and feedback processing after stroke.

Science.gov (United States)

Lam, J M; Globas, C; Hosp, J A; Karnath, H-O; Wächter, T; Luft, A R

2016-02-09

The ability to learn is assumed to support successful recovery and rehabilitation therapy after stroke. Hence, learning impairments may reduce the recovery potential. Here, the hypothesis is tested that stroke survivors have deficits in feedback-driven implicit learning. Stroke survivors (n=30) and healthy age-matched control subjects (n=21) learned a probabilistic classification task with brain activation measured using functional magnetic resonance imaging in a subset of these individuals (17 stroke and 10 controls). Stroke subjects learned slower than controls to classify cues. After being rewarded with a smiley face, they were less likely to give the same response when the cue was repeated. Stroke subjects showed reduced brain activation in putamen, pallidum, thalamus, frontal and prefrontal cortices and cerebellum when compared with controls. Lesion analysis identified those stroke survivors as learning-impaired who had lesions in frontal areas, putamen, thalamus, caudate and insula. Lesion laterality had no effect on learning efficacy or brain activation. These findings suggest that stroke survivors have deficits in reinforcement learning that may be related to dysfunctional processing of feedback-based decision-making, reward signals and working memory. Copyright © 2015 IBRO. Published by Elsevier Ltd. All rights reserved.

Midwifery students' experiences of learning clinical skills in Iran: a qualitative study.

Science.gov (United States)

Ahmadi, Golnoosh; Shahriari, Mohsen; Keyvanara, Mahmood; Kohan, Shahnaz

2018-03-09

A qualitative study was used. Midwifery students from three universities in Iran participated. The study used a convenience sample of eighteen students. Data for this study was collected using semi-structured interviews (N=12) and focus groups (N=6). Data were recorded on a digital audio recorder and then transcribed. The qualitative data were analyzed using a content analysis approach. Six broad themes emerged from the analysis: Limited opportunities to experience skills, difficulties with course plan gaps, need for creating a supportive clinical environment, learning drives, confusion between different methods, and stress in the clinical setting. Short verbatim quotations from the participants were presented to provide evidence for the interpretation of data. The findings of this study have provided a clear picture of the factors and mechanisms involved in learning clinical skills by midwifery students. This study showed that students had some difficulties and concerns during learning of clinical midwifery skills. The findings of this study suggest that midwifery educators conduct further studies to tackle these issues in clinical skills learning. The findings of this study are subject to some limitations which are discussed.

ATTITUDE TOWARDS THE USE OF LEARNING MANAGEMENT SYSTEM AMONG UNIVERSITY STUDENTS: A Case Study

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Fuad A. A.TRAYEK

2013-07-01

Full Text Available Learning management system (LMS is a learning platform for both full time and distant learning students at the International Islamic University in Malaysia (IIUM. LMS becomes a tool for IIUM to disseminate information and learning resources to the students. The objectives of this study were to Ø investigate students' attitudes toward the use of LMS, Ø to verify the impact of perceived usefulness and perceived ease of use on attitude towards use of learning management system, Ø to examine the differences in attitudes toward the use of LMS between distance learning and full time students. There were 120 (70 full time and 50 distance learning students at the Institute of Education responded for the study. The collected data was analysed using descriptive statistics, t-test and Multiple Regression Analysis (MRA. The results of the study showed that perceived ease of use and perceived usefulness determine students' attitudes toward the use of LMS. However, this study did not find any significant differences between distance learning and full time students. According to the findings the study recommended that the University should continue using LMS because it is useful for both distance learning and full time students. Further suggestions are made to customize and upgrade the LMS suitable for innovative teaching and learning.

Effect of Demographic Factors on E-Learning Effectiveness in a Higher Learning Institution in Malaysia

Science.gov (United States)

Islam, Md. Aminul; Rahim, Noor Asliza Abdul; Liang, Tan Chee; Momtaz, Hasina

2011-01-01

This research attempted to find out the effect of demographic factors on the effectiveness of the e-learning system in a higher learning Institution. The students from this institution were randomly selected in order to evaluate the effectiveness of learning system in student's learning process. The primary data source is the questionnaires that…

Showing a model's eye movements in examples does not improve learning of problem-solving tasks

NARCIS (Netherlands)

van Marlen, Tim; van Wermeskerken, Margot; Jarodzka, Halszka; van Gog, Tamara

2016-01-01

Eye movement modeling examples (EMME) are demonstrations of a computer-based task by a human model (e.g., a teacher), with the model's eye movements superimposed on the task to guide learners' attention. EMME have been shown to enhance learning of perceptual classification tasks; however, it is an

Sustainable Learning Organizations

Science.gov (United States)

Velazquez, Luis E.; Esquer, Javier; Munguia, Nora E.; Moure-Eraso, Rafael

2011-01-01

Purpose: The purpose of this paper is to debate how companies may better become a sustainable learning organization by offering the most used and insightful concepts of sustainability. Design/methodology/approach: Through literature review, learning organization and sustainability perspectives are explored and compared. Findings: Learning…

Web-based Collaborative learning in secondary education: Teachers’ reflection

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Hsi-Chi Hsiao

2010-06-01

Full Text Available This article is based on the researchers’ reflections after twice participating in a Web-based Collaborative Learning Program Contest. The contests were held by Asia-Pacific Economic Cooperation (APEC Cyber Academy (ACA. In collaborative learning, teachers are expected to provide participants with scaffolding assistance. The ACA is designed to provide student-centered activities for enhancing skills in information and communication technologies. Students are expected to find data, prepare presentations, and report their topics in English to communicate with other teams from other countries. During these processes, the researcher tried to apply theoretical models such as computerized instruction and topic based learning. The results of this study show the various benefits of Web-based Collaborative Learning for students and teachers. This study also includes several recommendations for primary and secondary schools.

Does language help regularity learning? The influence of verbalizations on implicit sequential regularity learning and the emergence of explicit knowledge in children, younger and older adults.

Science.gov (United States)

Ferdinand, Nicola K; Kray, Jutta

2017-03-01

This study aimed at investigating the ability to learn regularities across the life span and examine whether this learning process can be supported or hampered by verbalizations. For this purpose, children (aged 8-10 years) and younger (aged 19-30 years) and older (aged 70-80 years) adults took part in a sequence learning experiment. We found that verbalizing sequence-congruent information during learning is a powerful tool to generate explicit knowledge and it is especially helpful for younger adults. Although recent research suggests that implicit learning can be influenced by directing the participants' attention to relevant aspects of the task, verbalizations had a much weaker influence on implicit than explicit learning. Our results show that verbalizing during learning slows down reaction times (RTs) but does not influence the amount of implicit learning. Especially older adults were not able to overcome the cost of the dual-task situation. Younger adults, in contrast, show an initial dual-tasking cost that, in the case of a helpful verbalization, is overcome with practice and turns into a RT and learning benefit. However, when the verbalization is omitted this benefit is lost, that is, better implicit learning seems to be confined to situations in which the supporting verbalization is maintained. Additionally, we did not find reliable age differences in implicit learning in the no verbalization groups, which speaks in favor of age-invariant models of implicit learning across the life span. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

A Coterminous Collaborative Learning Model: Interconnectivity of Leadership and Learning

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Ilana Margolin

2012-05-01

Full Text Available This qualitative ethnographic study examines a collaborative leadership model focused on learning and socially just practices within a change context of a wide educational partnership. The study analyzes a range of perspectives of novice teachers, mentor teachers, teacher educators and district superintendents on leadership and learning. The findings reveal the emergence of a coalition of leaders crossing borders at all levels of the educational system: local school level, district level and teacher education level who were involved in coterminous collaborative learning. Four categories of learning were identified as critical to leading a change in the educational system: learning in professional communities, learning from practice, learning through theory and research and learning from and with leaders. The implications of the study for policy makers as well as for practitioners are to adopt a holistic approach to the educational environment and plan a collaborative learning continuum from initial pre-service programs through professional development learning at all levels.

An Exploratory Study of the Language-learning Style Preferences of Iranian EFL High School Students

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Afsaneh Effatdokht Ramezani

2015-04-01

Full Text Available This study explored the learning style preferences of 40 Iranian students at Marefat Iranian high school in Kuala Lumpur of which, 20 are females and 20 are males. To this end, this study used structured interview to elicit in-depth information from the students. The results of the study showed that learning style preferences of Iranian students were different according to their gender. Female students preferred auditory learning as their major learning style, while male students preferred kinesthetic more. Moreover, the findings revealed that Kinesthetic learning was the least preferred learning style of the most female students, whereas the least preferred learning style of male students was tactile learning.  Keywords:  Learning Style Preferences, High School Students, Gender, EFL

Pervasive Learning Environments

DEFF Research Database (Denmark)

Helms, Niels Henrik; Hundebøl, Jesper

2006-01-01

The potentials of pervasive communication in learning within industry and education are right know being explored through different R&D projects. This paper outlines the background for and the possible learning potentials in what we describe as pervasive learning environments (PLE). PLE's differ...... from virtual learning environments (VLE) primarily because in PLE's the learning content is very much related to the actual context in which the learner finds himself. Two local (Denmark) cases illustrate various aspects of pervasive learning. One is the eBag, a pervasive digital portfolio used...... in schools. The other is moreover related to work based learning in that it foresees a community of practitioners accessing, sharing and adding to knowledge and learning objects held within a pervasive business intelligence system. Limitations and needed developments of these and other systems are discussed...

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.

A SURVEY OF SEMI-SUPERVISED LEARNING

OpenAIRE

Amrita Sadarangani *, Dr. Anjali Jivani

2016-01-01

Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to find in many cases. Currently, a lot of research is being conducted in this area. This paper discusses the different algorithms of semi supervised learning and then their advantages and limitations are compared. The differences between supervised classification and semi-supervised classific...

Self-Regulated Learning: The Role of Motivation, Emotion, and Use of Learning Strategies in Students' Learning Experiences in a Self-Paced Online Mathematics Course

Science.gov (United States)

Cho, Moon-Heum; Heron, Michele L.

2015-01-01

Enrollment in online remedial mathematics courses has increased in popularity in institutions of higher learning; however, students unskilled in self-regulated learning (SRL) find online remedial mathematics courses particularly challenging. We investigated the role of SRL, specifically motivation, emotion, and learning strategies, in students'…

Dorsolateral Striatum Engagement Interferes with Early Discrimination Learning

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Hadley C. Bergstrom

2018-05-01

Full Text Available Summary: In current models, learning the relationship between environmental stimuli and the outcomes of actions involves both stimulus-driven and goal-directed systems, mediated in part by the DLS and DMS, respectively. However, though these models emphasize the importance of the DLS in governing actions after extensive experience has accumulated, there is growing evidence of DLS engagement from the onset of training. Here, we used in vivo photosilencing to reveal that DLS recruitment interferes with early touchscreen discrimination learning. We also show that the direct output pathway of the DLS is preferentially recruited and causally involved in early learning and find that silencing the normal contribution of the DLS produces plasticity-related alterations in a PL-DMS circuit. These data provide further evidence suggesting that the DLS is recruited in the construction of stimulus-elicited actions that ultimately automate behavior and liberate cognitive resources for other demands, but with a cost to performance at the outset of learning. : What is the contribution of the DLS in early discrimination learning? Bergstrom et al. show using in vivo optogenetics, fluorescence in situ hybridization, and brain-wide activity mapping that silencing the DLS facilitates early discrimination learning, drives activity in a parallel PL-DMS circuit, and preferentially recruits the DLS “direct” output pathway. Keywords: striatum, reward, goal-directed, habit, optogenetics, plasticity, cognition, Arc