WorldWideScience

Sample records for learning call applications

  1. Classification of large acoustic datasets using machine learning and crowdsourcing: Application to whale calls

    NARCIS (Netherlands)

    Shamir, L.; Carol Yerby, C.; Simpson, R.; Benda-Beckmann, A.M. von; Tyack, P.; Samarra, F.; Miller, P.; Wallin, J.

    2014-01-01

    Vocal communication is a primary communication method of killer and pilot whales, and is used for transmitting a broad range of messages and information for short and long distance. The large variation in call types of these species makes it challenging to categorize them. In this study, sounds

  2. Do market participants learn from conference calls?

    NARCIS (Netherlands)

    Roelofsen, E.; Verbeeten, F.; Mertens, G.

    2014-01-01

    We examine whether market participants learn from the information that is disseminated during the Q-and-A section of conference calls. Specifically, we investigate whether stock prices react to information on intangible assets provided during conference calls, and whether conference calls

  3. Computer Assisted Language Learning (CALL) Software: Evaluation ...

    African Journals Online (AJOL)

    Evaluating the nature and extent of the influence of Computer Assisted Language Learning (CALL) on the quality of language learning is highly problematic. This is owing to the number and complexity of interacting variables involved in setting the items for teaching and learning languages. This paper identified and ...

  4. Tourism websites in English as a source for the autonomous learning of specialized terminology: A CALL application

    Directory of Open Access Journals (Sweden)

    Ángel Felices Lago

    2016-04-01

    Full Text Available For years now, it has been an unquestioned fact that a large majority of textbooks available in English for Tourism, either in book format, CD-Rom or web site access are based on situations and professional contexts connected with the Anglo-Saxon environment, even though the vast majority of graduates in Tourism in Spain (and other countries end up working in the region (autonomous community of origin or in the province of reference for studies. There is, therefore, a clear dysfunction between the textbooks available in the market and the materials and situations that the students will face in their professional future. However, the Internet now allows us to exploit the availability of vast quantities of local resources (websites, blogs, etc. with their corresponding versions in English, which include tourist information referring to, for example, hotels, restaurants, historical and artistic heritage sites, tour operators, travel agencies, trade fairs or specialized services at the national, regional or communal levels. All these sites offer a special showcase of all the linguistic resources available (be they lexical, syntactic or terminological that the learners must acquire for their professional development. Consequently, the purpose of this study is to offer the results of the computer-assisted language learning (CALL project entitled Autonomous Learning of Specialized Vocabulary in English for Tourism (http://wdb.ugr.es/~afelices/, which takes into consideration the previous premises in order to promote, as its title indicates, autonomous learning in a more realistic professional context and to serve as a model for the development of similar e-learning platforms in other regions or countries.

  5. 76 Computer Assisted Language Learning (CALL) Software ...

    African Journals Online (AJOL)

    Ike Odimegwu

    combination with other factors which may enhance or ameliorate the ... form of computer-based learning which carries two important features: .... To take some commonplace examples, a ... photographs, and even full-motion video clips.

  6. Application of Cognitive and Socio-Cultural Theories in CALL

    Directory of Open Access Journals (Sweden)

    Mustafa Akın Güngör

    2011-06-01

    Full Text Available Since it is quite difficult in traditional learning atmospheres for the learners to be exposed to the target language adequately in foreign language acquisition, CALL in which virtual environment is designed in more appropriate way has given rise. Two main paradigms, cognitive model and socio-cultural theory, have also been adopted in CALL. Moreover, rather than applying one theory, combination of these paradigms is unavoidable. However, application of this combination is challenging in practice, as these two theories have different principles. Furthermore, when it comes to online education, it turns into more challenging process. In this poster this combination is presented with the help of sample applications from Gazi University.

  7. Professionals calling in lifelong learning centers

    Directory of Open Access Journals (Sweden)

    Victor Manuel Monteiro Seco

    2013-06-01

    Full Text Available Purpose: This study aims to understand how the way people see their work and the authentizotic character of their organizational climate contribute to the building of a Great Place to Work. Design/methodology/approach: This paper presents the results of a quantitative investigation that correlate the perceptions of organizational climate and the work orientations of professionals with different occupations on Portuguese lifelong education centers. Findings: The study indicates that all the core elements of an authentizotic organization contribute to explain what people potentially expect from their companies:  adequate  material  conditions  plus  a  meaningful contribution. Practical implications: The study has implications in the future for National Qualification Agency directors, education politicians and human resource managers who are responsible for providing good expectations within a healthy context of talent retention. Originality/value: The novel contribution of this paper is the finding that employee’s work orientations and authentizotic climate are related to each other in a Lifelong learning Center in the public education sector.

  8. Sustainability in CALL Learning Environments: A Systemic Functional Grammar Approach

    Science.gov (United States)

    McDonald, Peter

    2014-01-01

    This research aims to define a sustainable resource in Computer-Assisted Language Learning (CALL). In order for a CALL resource to be sustainable it must work within existing educational curricula. This feature is a necessary prerequisite of sustainability because, despite the potential for educational change that digitalization has offered since…

  9. Studying Language Learning Opportunities Afforded by a Collaborative CALL Task

    Science.gov (United States)

    Leahy, Christine

    2016-01-01

    This research study explores the learning potential of a computer-assisted language learning (CALL) activity. Research suggests that the dual emphasis on content development and language accuracy, as well as the complexity of L2 production in natural settings, can potentially create cognitive overload. This study poses the question whether, and…

  10. Social Learning: Medical Student Perceptions of Geriatric House Calls

    Science.gov (United States)

    Abbey, Linda; Willett, Rita; Selby-Penczak, Rachel; McKnight, Roberta

    2010-01-01

    Bandura's social learning theory provides a useful conceptual framework to understand medical students' perceptions of a house calls experience at Virginia Commonwealth University School of Medicine. Social learning and role modeling reflect Liaison Committee on Medical Education guidelines for "Medical schools (to) ensure that the learning…

  11. Computer Assisted Language Learning (CALL): Using Internet for Effective Language Learning

    NARCIS (Netherlands)

    Kremenska, Anelly

    2006-01-01

    Please, cite this publication as: Kremenska, A. (2006). Computer Assisted Language Learning (CALL): Using Internet for Effective Language Learning. Proceedings of International Workshop in Learning Networks for Lifelong Competence Development, TENCompetence Conference. March 30th-31st, Sofia,

  12. Social learning: medical student perceptions of geriatric house calls.

    Science.gov (United States)

    Abbey, Linda; Willett, Rita; Selby-Penczak, Rachel; McKnight, Roberta

    2010-01-01

    Bandura's social learning theory provides a useful conceptual framework to understand medical students' perceptions of a house calls experience at Virginia Commonwealth University School of Medicine. Social learning and role modeling reflect Liaison Committee on Medical Education guidelines for "Medical schools (to) ensure that the learning environment for medical students promotes the development of explicit and appropriate professional attributes (attitudes, behaviors, and identity) in their medical students." This qualitative study reports findings from open-ended survey questions from 123 medical students who observed a preceptor during house calls to elderly homebound patients. Their comments included reflections on the medical treatment as well as interactions with family and professional care providers. Student insights about the social learning process they experienced during house calls to geriatric patients characterized physician role models as dedicated, compassionate, and communicative. They also described patient care in the home environment as comprehensive, personalized, more relaxed, and comfortable. Student perceptions reflect an appreciation of the richness and complexity of details learned from home visits and social interaction with patients, families, and caregivers.

  13. Complexity Theory and CALL Curriculum in Foreign Language Learning

    Directory of Open Access Journals (Sweden)

    Hassan Soleimani

    2014-05-01

    Full Text Available Complexity theory literally indicates the complexity of a system, behavior, or a process. Its connotative meaning, while, implies dynamism, openness, sensitivity to initial conditions and feedback, and adaptation properties of a system. Regarding English as a Foreign/ Second Language (EFL/ESL this theory emphasizes on the complexity of the process of teaching and learning, including all the properties of a complex system. The purpose of the current study is to discuss the role of CALL as a modern technology in simplifying the process of teaching and learning a new language while integrating into the complexity theory. Nonetheless, the findings obtained from reviewing previously conducted studies in this field confirmed the usefulness of CALL curriculum in EFL/ESL contexts. These findings can also provide pedagogical implications for employing computer as an effective teaching and learning tool.

  14. Wild birds learn to eavesdrop on heterospecific alarm calls.

    Science.gov (United States)

    Magrath, Robert D; Haff, Tonya M; McLachlan, Jessica R; Igic, Branislav

    2015-08-03

    Many vertebrates gain critical information about danger by eavesdropping on other species' alarm calls [1], providing an excellent context in which to study information flow among species in animal communities [2-4]. A fundamental but unresolved question is how individuals recognize other species' alarm calls. Although individuals respond to heterospecific calls that are acoustically similar to their own, alarms vary greatly among species, and eavesdropping probably also requires learning [1]. Surprisingly, however, we lack studies demonstrating such learning. Here, we show experimentally that individual wild superb fairy-wrens, Malurus cyaneus, can learn to recognize previously unfamiliar alarm calls. We trained individuals by broadcasting unfamiliar sounds while simultaneously presenting gliding predatory birds. Fairy-wrens in the experiment originally ignored these sounds, but most fled in response to the sounds after two days' training. The learned response was not due to increased responsiveness in general or to sensitization following repeated exposure and was independent of sound structure. Learning can therefore help explain the taxonomic diversity of eavesdropping and the refining of behavior to suit the local community. In combination with previous work on unfamiliar predator recognition (e.g., [5]), our results imply rapid spread of anti-predator behavior within wild populations and suggest methods for training captive-bred animals before release into the wild [6]. A remaining challenge is to assess the importance and consequences of direct association of unfamiliar sounds with predators, compared with social learning-such as associating unfamiliar sounds with conspecific alarms. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Sustainability in CALL Learning Environments: A Systemic Functional Grammar Approach

    Directory of Open Access Journals (Sweden)

    Peter McDonald

    2014-09-01

    Full Text Available This research aims to define a sustainable resource in Computer-Assisted Language Learning (CALL. In order for a CALL resource to be sustainable it must work within existing educational curricula. This feature is a necessary prerequisite of sustainability because, despite the potential for educational change that digitalization has offered since the nineteen nineties, curricula in traditional educational institutions have not fundamentally changed, even as we move from a pre-digital society towards a digital society. Curricula have failed to incorporate CALL resources because no agreed-upon pedagogical language enables teachers to discuss CALL classroom practices. Systemic Functional Grammar (SFG can help to provide this language and bridge the gap between the needs of the curriculum and the potentiality of CALL-based resources. This paper will outline how SFG principles can be used to create a pedagogical language for CALL and it will give practical examples of how this language can be used to create sustainable resources in classroom contexts.

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

    Science.gov (United States)

    Aparicio, Juan José; Rodríguez Moneo, María

    2005-11-01

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

  17. Executing application function calls in response to an interrupt

    Science.gov (United States)

    Almasi, Gheorghe; Archer, Charles J.; Giampapa, Mark E.; Gooding, Thomas M.; Heidelberger, Philip; Parker, Jeffrey J.

    2010-05-11

    Executing application function calls in response to an interrupt including creating a thread; receiving an interrupt having an interrupt type; determining whether a value of a semaphore represents that interrupts are disabled; if the value of the semaphore represents that interrupts are not disabled: calling, by the thread, one or more preconfigured functions in dependence upon the interrupt type of the interrupt; yielding the thread; and if the value of the semaphore represents that interrupts are disabled: setting the value of the semaphore to represent to a kernel that interrupts are hard-disabled; and hard-disabling interrupts at the kernel.

  18. Exploration of Textual Interactions in CALL Learning Communities: Emerging Research and Opportunities

    Science.gov (United States)

    White, Jonathan R.

    2017-01-01

    Computer-assisted language learning (CALL) has greatly enhanced the realm of online social interaction and behavior. In language classrooms, it allows the opportunity for students to enhance their learning experiences. "Exploration of Textual Interactions in CALL Learning Communities: Emerging Research and Opportunities" is an ideal…

  19. Virtual Learning Environments on the Go: CALL Meets MALL

    Science.gov (United States)

    Arús Hita, Jorge

    2016-01-01

    This paper presents "Eating out," a Moodle-based digital learning resource for English as a Foreign Language (EFL) teaching that can be run both on computers and mobile devices. It is argued that Mobile Assisted Language Learning (MALL) resources do not necessarily need to be specifically designed for such platforms. Rather, a carefully…

  20. Learning analytics dashboard applications

    NARCIS (Netherlands)

    Verbert, K.; Duval, E.; Klerkx, J.; Govaerts, S.; Santos, J.L.

    2013-01-01

    This article introduces learning analytics dashboards that visualize learning traces for learners and teachers. We present a conceptual framework that helps to analyze learning analytics applications for these kinds of users. We then present our own work in this area and compare with 15 related

  1. Is CALL Obsolete? Language Acquisition and Language Learning Revisited in a Digital Age

    Science.gov (United States)

    Jarvis, Huw; Krashen, Stephen

    2014-01-01

    In this article, Huw Jarvis and Stephen Krashen ask "Is CALL Obsolete?" When the term CALL (Computer-Assisted Language Learning) was introduced in the 1960s, the language education profession knew only about language learning, not language acquisition, and assumed the computer's primary contribution to second language acquisition…

  2. Translating and transforming (a) CALL for leadership for learning

    DEFF Research Database (Denmark)

    Weinreich, Elvi; Bjerg, Helle

    2015-01-01

    "The paper pursues the argument that the process of translation is not solely a linguistic exercise. It also implies methodological and conceptual questions related to the translation and as such transformation of general and theoretical research based models of leadership for learning...

  3. Computer-Assisted Language Learning (CALL) in Support of (Re)-Learning Native Languages: The Case of Runyakitara

    Science.gov (United States)

    Katushemererwe, Fridah; Nerbonne, John

    2015-01-01

    This study presents the results from a computer-assisted language learning (CALL) system of Runyakitara (RU_CALL). The major objective was to provide an electronic language learning environment that can enable learners with mother tongue deficiencies to enhance their knowledge of grammar and acquire writing skills in Runyakitara. The system…

  4. Developing an effective corrective action process : lessons learned from operating a confidential close call reporting system

    Science.gov (United States)

    2013-03-05

    In 2007, the Federal Railroad Administration (FRA) launched : C3RS, the Confidential Close Call Reporting System, as a : demonstration project to learn how to facilitate the effective : reporting and implementation of corrective actions, and assess t...

  5. Attitudes of Jordanian Undergraduate Students towards Using Computer Assisted Language Learning (CALL)

    Science.gov (United States)

    Saeed, Farah Jamal Abed Alrazeq; Al-Zayed, Norma Nawaf

    2018-01-01

    The study aimed at investigating the attitudes of Jordanian undergraduate students towards using computer assisted-language learning (CALL) and its effectiveness in the process of learning the English language. In order to fulfill the study's objective, the researchers used a questionnaire to collect data, followed-up with semi-structured…

  6. CALL AND COOPERATIVE LEARNING: A SOLUTION TO DEVELOP STUDENTS‟ LISTENING ABILITY

    OpenAIRE

    Delsa Miranty

    2017-01-01

    This paper aims to provide some ideas both for English teachers and target learners about how to apply CALL and Cooperative Learning as the solution to develop students‘ listening activities in the classroom. Since teachers need to understand about students‘ needs, background, age and expectations when they learn English as the foreign language in the classroom. Therefore, the English teacher should provide environment which facilitates the children to have fun di the teaching learning proces...

  7. The Effectiveness of Using Contextual Clues, Dictionary Strategy and Computer Assisted Language Learning (Call In Learning Vocabulary

    Directory of Open Access Journals (Sweden)

    Zuraina Ali

    2013-07-01

    Full Text Available This study investigates the effectiveness of three vocabulary learning methods that are Contextual Clues, Dictionary Strategy, and Computer Assisted Language Learning (CALL in learning vocabulary among ESL learners. First, it aims at finding which of the vocabulary learning methods namely Dictionary Strategy, Contextual Clues, and CALL that may result in the highest number of words learnt in the immediate and delayed recall tests. Second, it compares the results of the Pre-test and the Delayed Recall Post-test to determine the differences of learning vocabulary using the methods. A quasi-experiment that tested the effectiveness of learning vocabulary using Dictionary Strategy, Contextual clues, and CALL involved 123 first year university students. Qualitative procedures included the collection of data from interviews which were conducted to triangulate the data obtain from the quantitative inquiries. Findings from the study using ANOVA revealed that there were significant differences when students were exposed to Dictionary Strategy, Contextual Clues and CALL in the immediate recall tests but not in the Delayed Recall Post-test. Also, there were significant differences when t test was used to compare the scores between the Pre-test and the Delayed Recall Post-test in using the three methods of vocabulary learning. Although many researchers have advocated the relative effectiveness of Dictionary Strategy, Contextual Clues, and CALL in learning vocabulary, the study however, is still paramount since there is no study has ever empirically investigated the relative efficacy of these three methods in a single study.

  8. Postinterview communication with residency applicants: a call for clarity!

    Science.gov (United States)

    Frishman, Gary N; Matteson, Kristen A; Bienstock, Jessica L; George, Karen E; Ogburn, Tony; Rauk, Phillip N; Schnatz, Peter F; Learman, Lee A

    2014-10-01

    The residency match is an increasingly competitive process. Communication from medical student applicants to programs varies, and the effect this has on their rank status is unclear. We assessed how obstetrics and gynecology program directors interpret and act on postinterview communication initiated by applicants by conducting an anonymous cross-sectional web-based survey of allopathic obstetrics and gynecology program directors. One hundred thirty-seven program directors (55%) responded to the survey. Twenty-nine percent would consider ranking an applicant more favorably if the applicant expressed interest (beyond a routine thank you) or if a faculty mentor personally known to the program director stated that the applicant was ranking the program first. Fifty-two percent indicated that they would rank an applicant more favorably if a mentor known to them endorsed the applicant as outstanding. Approximately 30% responded that applicants who did not communicate with their program were disadvantaged compared with those who did. Approximately 17% stated it was desirable to create additional specialty-specific guidelines regarding postinterview contact between programs and applications. Based on the wide variation in how program directors interpret and act on postinterview communication from applicants, residency programs should formulate and communicate a clear policy about whether they request and how they respond to postinterview communication from applicants and their mentors. This will establish a more level playing field and eliminate potential inequities resulting from inconsistent communication practices. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Application of a smartphone nurse call system for nursing care.

    Science.gov (United States)

    Chuang, Shu-Ting; Liu, Yi-Fang; Fu, Zi-Xuan; Liu, Kuang-Chung; Chien, Sou-Hsin; Lin, Chin-Lon; Lin, Pi-Yu

    2015-02-01

    Traditionally, a patient presses the nurse call button and alerts the central nursing station. This system cannot reach the primary care nurse directly. The aim of this study was to apply a new smartphone system through the cloud system and information technology that linked a smartphone and a mobile nursing station for nursing care service. A smartphone and mobile nursing station were integrated into a smartphone nurse call system through the cloud and information technology for better nursing care. Waiting time for a patient to contact the most responsible nurse was reduced from 3.8 min to 6 s. The average time for pharmacists to locate the nurse for medication problem was reduced from 4.2 min to 1.8 min by the new system. After implementation of the smartphone nurse call system, patients received a more rapid response. This improved patients' satisfaction and reduced the number of complaints about longer waiting time due to the shortage of nurses.

  10. A Call to Action for Research in Digital Learning: Learning without Limits of Time, Place, Path, Pace…or Evidence

    Science.gov (United States)

    Cavanaugh, Cathy; Sessums, Christopher; Drexler, Wendy

    2015-01-01

    This essay is a call for rethinking our approach to research in digital learning. It plots a path founded in social trends and advances in education. A brief review of these trends and advances is followed by discussion of what flattened research might look like at scale. Scaling research in digital learning is crucial to advancing understanding…

  11. Investigating Language Learning Activity Using a CALL Task in the Self-access Centre

    Directory of Open Access Journals (Sweden)

    Carlos Montoro

    2011-09-01

    Full Text Available This article describes a small study of the language learning activity of individual learners using a CALL task in a self-access environment. The research focuses on the nature of the language learning activity, the most salient elements that make up its structure and major disturbances observed between and within some of those elements. It is set in the context of computer-assisted language learning (CALL and activity theory. A CALL task designed by the authors was made available online to be used as a research and learning tool. Empirical data was collected from two participants using ethnographic tools, such as participant observation and stimulated recall sessions. The analysis focuses on disturbances mainly involving the subject (i.e., the learner, mediating artefacts (e.g., the CALL task, the community (e.g., management and other self-access centre users and the object of the activity (i.e., learning English. It is recommended that future studies should look deeper into contradictions in the learning activity from a cultural-historical perspective.

  12. Evaluation of Software Quality to Improve Application Performance Using Mc Call Model

    Directory of Open Access Journals (Sweden)

    Inda D Lestantri

    2018-04-01

    Full Text Available The existence of software should have more value to improve the performance of the organization in addition to having the primary function to automate. Before being implemented in an operational environment, software must pass the test gradually to ensure that the software is functioning properly, meeting user needs and providing convenience for users to use it. This test is performed on a web-based application, by taking a test case in an e-SAP application. E-SAP is an application used to monitor teaching and learning activities used by a university in Jakarta. To measure software quality, testing can be done on users randomly. The user samples selected in this test are users with an age range of 18 years old up to 25 years, background information technology. This test was conducted on 30 respondents. This test is done by using Mc Call model. Model of testing Mc Call consists of 11 dimensions are grouped into 3 categories. This paper describes the testing with reference to the category of product operation, which includes 5 dimensions. The dimensions of testing performed include the dimensions of correctness, usability, efficiency, reliability, and integrity. This paper discusses testing on each dimension to measure software quality as an effort to improve performance. The result of research is e-SAP application has good quality with product operation value equal to 85.09%. This indicates that the e-SAP application has a great quality, so this application deserves to be examined in the next stage on the operational environment.

  13. Neural Correlates of Threat Perception: Neural Equivalence of Conspecific and Heterospecific Mobbing Calls Is Learned

    Science.gov (United States)

    Avey, Marc T.; Hoeschele, Marisa; Moscicki, Michele K.; Bloomfield, Laurie L.; Sturdy, Christopher B.

    2011-01-01

    Songbird auditory areas (i.e., CMM and NCM) are preferentially activated to playback of conspecific vocalizations relative to heterospecific and arbitrary noise [1]–[2]. Here, we asked if the neural response to auditory stimulation is not simply preferential for conspecific vocalizations but also for the information conveyed by the vocalization. Black-capped chickadees use their chick-a-dee mobbing call to recruit conspecifics and other avian species to mob perched predators [3]. Mobbing calls produced in response to smaller, higher-threat predators contain more “D” notes compared to those produced in response to larger, lower-threat predators and thus convey the degree of threat of predators [4]. We specifically asked whether the neural response varies with the degree of threat conveyed by the mobbing calls of chickadees and whether the neural response is the same for actual predator calls that correspond to the degree of threat of the chickadee mobbing calls. Our results demonstrate that, as degree of threat increases in conspecific chickadee mobbing calls, there is a corresponding increase in immediate early gene (IEG) expression in telencephalic auditory areas. We also demonstrate that as the degree of threat increases for the heterospecific predator, there is a corresponding increase in IEG expression in the auditory areas. Furthermore, there was no significant difference in the amount IEG expression between conspecific mobbing calls or heterospecific predator calls that were the same degree of threat. In a second experiment, using hand-reared chickadees without predator experience, we found more IEG expression in response to mobbing calls than corresponding predator calls, indicating that degree of threat is learned. Our results demonstrate that degree of threat corresponds to neural activity in the auditory areas and that threat can be conveyed by different species signals and that these signals must be learned. PMID:21909363

  14. Neural correlates of threat perception: neural equivalence of conspecific and heterospecific mobbing calls is learned.

    Science.gov (United States)

    Avey, Marc T; Hoeschele, Marisa; Moscicki, Michele K; Bloomfield, Laurie L; Sturdy, Christopher B

    2011-01-01

    Songbird auditory areas (i.e., CMM and NCM) are preferentially activated to playback of conspecific vocalizations relative to heterospecific and arbitrary noise. Here, we asked if the neural response to auditory stimulation is not simply preferential for conspecific vocalizations but also for the information conveyed by the vocalization. Black-capped chickadees use their chick-a-dee mobbing call to recruit conspecifics and other avian species to mob perched predators. Mobbing calls produced in response to smaller, higher-threat predators contain more "D" notes compared to those produced in response to larger, lower-threat predators and thus convey the degree of threat of predators. We specifically asked whether the neural response varies with the degree of threat conveyed by the mobbing calls of chickadees and whether the neural response is the same for actual predator calls that correspond to the degree of threat of the chickadee mobbing calls. Our results demonstrate that, as degree of threat increases in conspecific chickadee mobbing calls, there is a corresponding increase in immediate early gene (IEG) expression in telencephalic auditory areas. We also demonstrate that as the degree of threat increases for the heterospecific predator, there is a corresponding increase in IEG expression in the auditory areas. Furthermore, there was no significant difference in the amount IEG expression between conspecific mobbing calls or heterospecific predator calls that were the same degree of threat. In a second experiment, using hand-reared chickadees without predator experience, we found more IEG expression in response to mobbing calls than corresponding predator calls, indicating that degree of threat is learned. Our results demonstrate that degree of threat corresponds to neural activity in the auditory areas and that threat can be conveyed by different species signals and that these signals must be learned.

  15. Neural correlates of threat perception: neural equivalence of conspecific and heterospecific mobbing calls is learned.

    Directory of Open Access Journals (Sweden)

    Marc T Avey

    Full Text Available Songbird auditory areas (i.e., CMM and NCM are preferentially activated to playback of conspecific vocalizations relative to heterospecific and arbitrary noise. Here, we asked if the neural response to auditory stimulation is not simply preferential for conspecific vocalizations but also for the information conveyed by the vocalization. Black-capped chickadees use their chick-a-dee mobbing call to recruit conspecifics and other avian species to mob perched predators. Mobbing calls produced in response to smaller, higher-threat predators contain more "D" notes compared to those produced in response to larger, lower-threat predators and thus convey the degree of threat of predators. We specifically asked whether the neural response varies with the degree of threat conveyed by the mobbing calls of chickadees and whether the neural response is the same for actual predator calls that correspond to the degree of threat of the chickadee mobbing calls. Our results demonstrate that, as degree of threat increases in conspecific chickadee mobbing calls, there is a corresponding increase in immediate early gene (IEG expression in telencephalic auditory areas. We also demonstrate that as the degree of threat increases for the heterospecific predator, there is a corresponding increase in IEG expression in the auditory areas. Furthermore, there was no significant difference in the amount IEG expression between conspecific mobbing calls or heterospecific predator calls that were the same degree of threat. In a second experiment, using hand-reared chickadees without predator experience, we found more IEG expression in response to mobbing calls than corresponding predator calls, indicating that degree of threat is learned. Our results demonstrate that degree of threat corresponds to neural activity in the auditory areas and that threat can be conveyed by different species signals and that these signals must be learned.

  16. Call for Applications IDRC Doctoral Research Awards (IDRA)

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

    Liliane Castets-Poupart

    2015-05-20

    May 20, 2015 ... Since 1982, IDRC has helped graduate students undertake thesis research in the field of international development. ... proposing field research in the following countries or territories, even if recommended by .... Applicant's capacity to conduct the proposed research, including academic training, local.

  17. Pre-Service Teachers' Uses of and Barriers from Adopting Computer-Assisted Language Learning (CALL) Programs

    Science.gov (United States)

    Samani, Ebrahim; Baki, Roselan; Razali, Abu Bakar

    2014-01-01

    Success in implementation of computer-assisted language learning (CALL) programs depends on the teachers' understanding of the roles of CALL programs in education. Consequently, it is also important to understand the barriers teachers face in the use of computer-assisted language learning (CALL) programs. The current study was conducted on 14…

  18. From Computer Assisted Language Learning (CALL) to Mobile Assisted Language Use (MALU)

    Science.gov (United States)

    Jarvis, Huw; Achilleos, Marianna

    2013-01-01

    This article begins by critiquing the long-established acronym CALL (Computer Assisted Language Learning). We then go on to report on a small-scale study which examines how student non-native speakers of English use a range of digital devices beyond the classroom in both their first (L1) and second (L2) languages. We look also at the extent to…

  19. Learning Based Approach for Optimal Clustering of Distributed Program's Call Flow Graph

    Science.gov (United States)

    Abofathi, Yousef; Zarei, Bager; Parsa, Saeed

    Optimal clustering of call flow graph for reaching maximum concurrency in execution of distributable components is one of the NP-Complete problems. Learning automatas (LAs) are search tools which are used for solving many NP-Complete problems. In this paper a learning based algorithm is proposed to optimal clustering of call flow graph and appropriate distributing of programs in network level. The algorithm uses learning feature of LAs to search in state space. It has been shown that the speed of reaching to solution increases remarkably using LA in search process, and it also prevents algorithm from being trapped in local minimums. Experimental results show the superiority of proposed algorithm over others.

  20. Attitudes of Jordanian Undergraduate Students towards Using Computer Assisted Language Learning (CALL

    Directory of Open Access Journals (Sweden)

    Farah Jamal Abed Alrazeq Saeed

    2018-01-01

    Full Text Available The study aimed at investigating the attitudes of Jordanian undergraduate students towards using computer assisted -language learning (CALL and its effectiveness in the process of learning the English language.  In order to fulfill the study’s objective, the researchers used a questionnaire to collect data, followed-up with semi-structured interviews to investigate the students’ beliefs towards CALL. Twenty- one of Jordanian BA students majoring in English language and literature were selected according to simple random sampling. The results revealed positive attitudes towards CALL in facilitating the process of writing assignments, gaining information; making learning enjoyable; improving their creativity, productivity, academic achievement, critical thinking skills, and enhancing their knowledge about vocabulary grammar, and culture. Furthermore, they believed that computers can motivate them to learn English language and help them to communicate and interact with their teachers and colleagues. The researchers recommended conducting a research on the same topic, taking into consideration the variables of age, gender, experience in using computers, and computer skills.

  1. CALL AND COOPERATIVE LEARNING: A SOLUTION TO DEVELOP STUDENTS‟ LISTENING ABILITY

    Directory of Open Access Journals (Sweden)

    Delsa Miranty

    2017-04-01

    Full Text Available This paper aims to provide some ideas both for English teachers and target learners about how to apply CALL and Cooperative Learning as the solution to develop students‘ listening activities in the classroom. Since teachers need to understand about students‘ needs, background, age and expectations when they learn English as the foreign language in the classroom. Therefore, the English teacher should provide environment which facilitates the children to have fun di the teaching learning process, nice atmosphere, comfort and enjoyable to learn English and practice it both in the classroom and in the laboratory. Furthermore, this paper will provide what the teachers should do related activities such as: listening to the songs, movies, cartoon by applying STAD (Students Teams – Achievement Divisions in the classroom in order to develop students‘ listening ability both in the classroom and laboratory.

  2. A Reinforcement Learning Approach to Call Admission Control in HAPS Communication System

    Directory of Open Access Journals (Sweden)

    Ni Shu Yan

    2017-01-01

    Full Text Available The large changing of link capacity and number of users caused by the movement of both platform and users in communication system based on high altitude platform station (HAPS will resulting in high dropping rate of handover and reduce resource utilization. In order to solve these problems, this paper proposes an adaptive call admission control strategy based on reinforcement learning approach. The goal of this strategy is to maximize long-term gains of system, with the introduction of cross-layer interaction and the service downgraded. In order to access different traffics adaptively, the access utility of handover traffics and new call traffics is designed in different state of communication system. Numerical simulation result shows that the proposed call admission control strategy can enhance bandwidth resource utilization and the performances of handover traffics.

  3. The Adaptation Study of the Questionnaires of the Attitude towards CALL (A-CALL), the Attitude towards CAL (A-CAL), the Attitude towards Foreign Language Learning (A-FLL) to Turkish Language

    Science.gov (United States)

    Erdem, Cahit; Saykili, Abdullah; Kocyigit, Mehmet

    2018-01-01

    This study primarily aims to adapt the Foreign Language Learning (FLL), Computer assisted Learning (CAL) and Computer assisted Language Learning (CALL) scales developed by Vandewaetere and Desmet into Turkish context. The instrument consists of three scales which are "the attitude towards CALL questionnaire" ("A-CALL")…

  4. Editorial (special issue on CALL, e-learning and m-learning

    Directory of Open Access Journals (Sweden)

    Jo Mynard

    2011-09-01

    Full Text Available Technology has, in one form of another, been a part of self-access learning since the very first self-access centres (SACs of the 1980s. Some of the better-funded centres featured elaborate listening and recording machinery and (occasionally early personal computers. Early software programmes and language-learning websites available for self-access use tended to be aimed at individual study, initially following the language lab model, and were often designed to teach or test discrete language points. Of course, in 2011 programmes aimed at individual study do still exist and certainly have a place in self-access learning, particularly if a learner has identified a target language area that the software or website covers. However, in this special issue we go beyond language learning software and look at tools and technologies currently available to the learner as self-access resources.

  5. Skype™ Conference Calls: A Way to Promote Speaking Skills in the Teaching and Learning of English

    Directory of Open Access Journals (Sweden)

    Yeferson Romaña Correa

    2015-01-01

    Full Text Available This article presents the results of a research project on the teaching and learning of English through the use of Skype™ conference calls. The research was carried out with a group of 12 English as a foreign language adult learners in the language institute of Universidad Distrital Francisco José de Caldas, Bogotá, Colombia. The findings of this study suggest that Skype™ conference calls might be considered as an influential computer-mediated communication tool in order to promote English as a foreign language adult A1 learners’ speaking skill, especially for social interaction purposes and oral reinforcement of both language fluency and course contents outside of classroom settings.

  6. SEE: improving nurse-patient communications and preventing software piracy in nurse call applications.

    Science.gov (United States)

    Unluturk, Mehmet S

    2012-06-01

    Nurse call system is an electrically functioning system by which patients can call upon from a bedside station or from a duty station. An intermittent tone shall be heard and a corridor lamp located outside the room starts blinking with a slow or a faster rate depending on the call origination. It is essential to alert nurses on time so that they can offer care and comfort without any delay. There are currently many devices available for a nurse call system to improve communication between nurses and patients such as pagers, RFID (radio frequency identification) badges, wireless phones and so on. To integrate all these devices into an existing nurse call system and make they communicate with each other, we propose software client applications called bridges in this paper. We also propose a window server application called SEE (Supervised Event Executive) that delivers messages among these devices. A single hardware dongle is utilized for authentication and copy protection for SEE. Protecting SEE with securities provided by dongle only is a weak defense against hackers. In this paper, we develop some defense patterns for hackers such as calculating checksums in runtime, making calls to dongle from multiple places in code and handling errors properly by logging them into database.

  7. 75 FR 53640 - Call for Applications for the International Buyer Program Calendar Year 2012

    Science.gov (United States)

    2010-09-01

    ... addition, the applicant should describe in detail the international marketing program to be conducted for... DEPARTMENT OF COMMERCE International Trade Administration [Docket No.: 100806330-0330-01] Call for Applications for the International Buyer Program Calendar Year 2012 AGENCY: International Trade Administration...

  8. Learning Android application testing

    CERN Document Server

    Blundell, Paul

    2015-01-01

    If you are an Android developer looking to test your applications or optimize your application development process, then this book is for you. No previous experience in application testing is required.

  9. Learning Spring application development

    CERN Document Server

    Soni, Ravi Kant

    2015-01-01

    This book is intended for those who are interested in learning the core features of the Spring Framework. Prior knowledge of Java programming and web development concepts with basic XML knowledge is expected.

  10. Global learning on carbon capture and storage: A call for strong international cooperation on CCS demonstration

    International Nuclear Information System (INIS)

    Coninck, Heleen de; Stephens, Jennie C.; Metz, Bert

    2009-01-01

    Closing the gap between carbon dioxide capture and storage (CCS) rhetoric and technical progress is critically important to global climate mitigation efforts. Developing strong international cooperation on CCS demonstration with global coordination, transparency, cost-sharing and communication as guiding principles would facilitate efficient and cost-effective collaborative global learning on CCS, would allow for improved understanding of the global capacity and applicability of CCS, and would strengthen global trust, awareness and public confidence in the technology.

  11. The Differences across Distributed Leadership Practices by School Position According to the Comprehensive Assessment of Leadership for Learning (CALL)

    Science.gov (United States)

    Blitz, Mark H.; Modeste, Marsha

    2015-01-01

    The Comprehensive Assessment of Leadership for Learning (CALL) is a multi-source assessment of distributed instructional leadership. As part of the validation of CALL, researchers examined differences between teacher and leader ratings in assessing distributed leadership practices. The authors utilized a t-test for equality of means for the…

  12. Learning Words through Multimedia Application

    DEFF Research Database (Denmark)

    Zhang, Chun

    2007-01-01

      This study explores the relevance of multimedia application in relation to vocabulary acquisition in the classroom of Chinese as a foreign language. The herein depicted application refers to the computer-assisted implicit word-learning, wherein the Danish students built hypertexts to acquire...... meanings of unknown words aiming to research and to enlarging Chinese vocabulary.  ...

  13. 78 FR 68814 - Call for Applications for the International Buyer Program Calendar Year 2015

    Science.gov (United States)

    2013-11-15

    ... overseas markets and corresponds to marketing opportunities as identified by ITA. Previous international... overseas. In addition, the applicant should describe in detail the international marketing program to be... DEPARTMENT OF COMMERCE International Trade Administration [Docket No.: 131030913-3913-01] Call for...

  14. 76 FR 54428 - Call for Applications for the International Buyer Program Calendar Year 2013

    Science.gov (United States)

    2011-09-01

    ... in detail the international marketing program to be conducted for the event, and explain how efforts... DEPARTMENT OF COMMERCE International Trade Administration [Docket No. 110729450-1450-01] Call for Applications for the International Buyer Program Calendar Year 2013 AGENCY: International Trade Administration...

  15. 77 FR 74828 - Call for Applications for the International Buyer Program Calendar Years 2014 and 2015

    Science.gov (United States)

    2012-12-18

    ... DEPARTMENT OF COMMERCE International Trade Administration [Docket No. 120913451-2681-02] Call for Applications for the International Buyer Program Calendar Years 2014 and 2015 AGENCY: International Trade... the DOC and trade show organizers to benefit U.S. firms exhibiting at selected events and provides...

  16. The Significant Incidents and Close Calls in Human Space Flight Chart: Lessons Learned Gone Viral

    Science.gov (United States)

    Wood, Bill; Pate, Dennis; Thelen, David

    2010-01-01

    This presentation will explore the surprising history and events that transformed a mundane spreadsheet of historical spaceflight incidents into a popular and widely distributed visual compendium of lessons learned. The Significant Incidents and Close Calls in Human Space Flight Chart (a.k.a. The Significant Incidents Chart) is a popular and visually captivating reference product that has arisen from the work of the Johnson Space Center (JSC) Safety and Mission Assurance (S&MA) Flight Safety Office (FSO). It began as an internal tool intended to increase our team s awareness of historical and modern space flight incidents. Today, the chart is widely recognized across the agency as a reference tool. It appears in several training and education programs. It is used in familiarization training in the JSC Building 9 Mockup Facility and is seen by hundreds of center visitors each week. The chart visually summarizes injuries, fatalities, and close calls sustained during the continuing development of human space flight. The poster-sized chart displays over 100 total events that have direct connections to human space flight endeavors. The chart is updated periodically. The update process itself has become a collaborative effort. Many people, spanning multiple NASA organizations, have provided suggestions for additional entries. The FSO maintains a growing list of subscribers who have requested to receive updates. The presenters will discuss the origins and motivations behind the significant incidents chart. A review of the inclusion criteria used to select events will be offered. We will address how the chart is used today by S&MA and offer a vision of how it might be used by other organizations now and in the future. Particular emphasis will be placed on features of the chart that have met with broad acceptance and have helped spread awareness of the most important lessons in human spaceflight.

  17. Improving student learning in calculus through applications

    Science.gov (United States)

    Young, C. Y.; Georgiopoulos, M.; Hagen, S. C.; Geiger, C. L.; Dagley-Falls, M. A.; Islas, A. L.; Ramsey, P. J.; Lancey, P. M.; Straney, R. A.; Forde, D. S.; Bradbury, E. E.

    2011-07-01

    Nationally only 40% of the incoming freshmen Science, Technology, Engineering and Mathematics (STEM) majors are successful in earning a STEM degree. The University of Central Florida (UCF) EXCEL programme is a National Science Foundation funded STEM Talent Expansion Programme whose goal is to increase the number of UCF STEM graduates. One of the key requirements for STEM majors is a strong foundation in Calculus. To improve student learning in calculus, the EXCEL programme developed two special courses at the freshman level called Applications of Calculus I (Apps I) and Applications of Calculus II (Apps II). Apps I and II are one-credit classes that are co-requisites for Calculus I and II. These classes are teams taught by science and engineering professors whose goal is to demonstrate to students where the calculus topics they are learning appear in upper level science and engineering classes as well as how faculty use calculus in their STEM research programmes. This article outlines the process used in producing the educational materials for the Apps I and II courses, and it also discusses the assessment results pertaining to this specific EXCEL activity. Pre- and post-tests conducted with experimental and control groups indicate significant improvement in student learning in Calculus II as a direct result of the application courses.

  18. Machine Learning applications in CMS

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase.

  19. Improving Knowledge and Process for International Emergency Medicine Fellowship Applicants: A Call for a Uniform Application

    Directory of Open Access Journals (Sweden)

    Gabrielle A. Jacquet

    2013-01-01

    Full Text Available Background. There are currently 34 International Emergency Medicine (IEM fellowship programs. Applicants and programs are increasing in number and diversity. Without a standardized application, applicants have a difficulty approaching programs in an informed and an organized method; a streamlined application system is necessary. Objectives. To measure fellows’ knowledge of their programs’ curricula prior to starting fellowship and to determine what percent of fellows and program directors would support a universal application system. Methods. A focus group of program directors, recent, and current fellows convened to determine the most important features of an IEM fellowship application process. A survey was administered electronically to a convenience sample of 78 participants from 34 programs. Respondents included fellowship directors, fellows, and recent graduates. Results. Most fellows (70% did not know their program’s curriculum prior to starting fellowship. The majority of program directors and fellows support a uniform application service (81% and 67%, resp. and deadline (85% for both. A minority of program directors (35% and fellows (30% support a formal match. Conclusions. Program directors and fellows support a uniform application service and deadline, but not a formalized match. Forums for disseminating IEM fellowship information and for administering a uniform application service and deadline are currently in development to improve the process.

  20. Call mimicry by eastern towhees and its significance in relation to auditory learning

    Science.gov (United States)

    Jon S. Greenlaw; Clifford E. Shackelford; Raymond E. Brown

    1998-01-01

    The authors document cases of eastern towhees (Pipilo erythrophthalmus) using mimicked alarm calls from three presumptive models (blue jay (Cyanocitta cristata), brown thrasher (Toxostoma rufum), and American robin (Turdus migratorius)). In four instances, male towhees employed heterospecific calls without substitution in their own call repertoires. Three birds (New...

  1. EFL Teachers' Knowledge of the Use and Development of Computer-Assisted Language Learning (CALL) Materials

    Science.gov (United States)

    Dashtestani, Reza

    2014-01-01

    Even though there are a plethora of CALL materials available to EFL teachers nowadays, very limited attention has been directed toward the issue that most EFL teachers are merely the consumers of CALL materials. The main challenge is to equip EFL teachers with the required CALL materials development skills to enable them to be contributors to CALL…

  2. Application of Machine Learning Techniques in Aquaculture

    OpenAIRE

    Rahman, Akhlaqur; Tasnim, Sumaira

    2014-01-01

    In this paper we present applications of different machine learning algorithms in aquaculture. Machine learning algorithms learn models from historical data. In aquaculture historical data are obtained from farm practices, yields, and environmental data sources. Associations between these different variables can be obtained by applying machine learning algorithms to historical data. In this paper we present applications of different machine learning algorithms in aquaculture applications.

  3. VIPER: a web application for rapid expert review of variant calls.

    Science.gov (United States)

    Wöste, Marius; Dugas, Martin

    2018-01-15

    With the rapid development in next-generation sequencing, cost and time requirements for genomic sequencing are decreasing, enabling applications in many areas such as cancer research. Many tools have been developed to analyze genomic variation ranging from single nucleotide variants to whole chromosomal aberrations. As sequencing throughput increases, the number of variants called by such tools also grows. Often employed manual inspection of such calls is thus becoming a time-consuming procedure. We developed the Variant InsPector and Expert Rating tool (VIPER) to speed up this process by integrating the Integrative Genomics Viewer into a web application. Analysts can then quickly iterate through variants, apply filters and make decisions based on the generated images and variant metadata. VIPER was successfully employed in analyses with manual inspection of more than 10,000 calls. VIPER is implemented in Java and Javascript and is freely available at https://github.com/MarWoes/viper. Marius.Woeste@uni-muenster.de. Supplementary data are available at Bioinformatics online. © The Author (2018). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  4. Analisis Unjuk Kerja Aplikasi VoIP Call Android di Jaringan MANET [Performance Analysis of VoIP Call Application Android in MANET (Mobile Ad Hoc Network

    Directory of Open Access Journals (Sweden)

    Ryan Ari Setyawan

    2015-06-01

    Full Text Available Penelitian ini bertujuan menganalisis kinerja aplikasi  VoIP call android di jaringan MANET (mobile ad hoc network.  Hasil pengujian menunjukan bahwa aplikasi VoIP call android dapat digunakan di jaringan MANET. Delay yang dihasilkan paling besar di pengujian indoor dengan jarak 11-15 meter yakni sebesar 0,014624811 seconds. Packet loss yang dihasilkan pada range 1%-2% sedangkan standar packet loss yang ditetapkan oleh CISCO untuk layanan aplikasi VoIP adalah < 5%. Jitter yang dihasilkan yakni antara 0,01-0,06 seconds sedangkan standar yang ditetapkan oleh CISCO adalah ≤ 30 ms atau 0,03 seconds. Throughput yang dihasilkan pada proses pengujian yakni antar 161 kbps-481 kbps. *****This study aims to analyze the performance of VOIP call android application in the MANET (mobile ad hoc network. The results showed that VoIP applications could be implemented in MANET network. The highest  delay is produced in indoor testing  with distance of 11-15 meters,  which is equal to 0.014624811 seconds. Packet loss is generated in the range of 1% -2%, while packet loss standards set by Cisco for VoIP application services are <5%. The jitter is between 0.01 to 0.06 seconds, while the standard set by CISCO is ≤ 30 ms or 0.03 seconds. Throughput generated in the testing process is between 161 kbps-481 kbps.

  5. Orion: a web-based application designed to monitor resident and fellow performance on-call.

    Science.gov (United States)

    Itri, Jason N; Kim, Woojin; Scanlon, Mary H

    2011-10-01

    Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation, each of these reports was classified as "agreement", "minor discrepancy", and "major discrepancy" based on the potential to impact patient management or outcome. Major discrepancy rates were used to establish benchmarks for resident and fellow performance by year of training, modality, and subspecialty, and to identify residents and fellows demonstrating a significantly higher major discrepancy rate compared with their classmates. Trends in discrepancies were used to identify subspecialty-specific areas of increased major discrepancy rates in an effort to tailor the didactic and case-based curriculum. A series of missed-case conferences were developed based on trends in discrepancies, and the impact of these conferences is currently being evaluated. Orion is a powerful information technology tool that can be used by residency program directors, fellowship programs directors, residents, and fellows to improve radiology education and training.

  6. Performance, Cognitive Load, and Behaviour of Technology-Assisted English Listening Learning: From CALL to MALL

    Science.gov (United States)

    Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Chou, Pao-Nan

    2018-01-01

    This study examines differences in English listening comprehension, cognitive load, and learning behaviour between outdoor ubiquitous learning and indoor computer-assisted learning. An experimental design, employing a pretest-posttest control group is employed. Randomly assigned foreign language university majors joined either the experimental…

  7. Imbalanced learning foundations, algorithms, and applications

    CERN Document Server

    He, Haibo

    2013-01-01

    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles,

  8. Detection and Classification of Baleen Whale Foraging Calls Combining Pattern Recognition and Machine Learning Techniques

    Science.gov (United States)

    2016-12-01

    for a call is also a time- consuming task. None of these chores bothers the analyst when applying the selection algorithm. With help from the...1365- 2907.2007.00106.x. Castellote, M., C. W. Clark, and M. O. Lammers, 2012: Acoustic and behavioural changes by fin whales (Balaenoptera physalus...separation of blue whale call types on a southern California feeding ground. Animal Behaviour , 74, 881–894, doi:10.1016/j.anbehav.2007.01.022. Rocha, R

  9. A machine learning model to determine the accuracy of variant calls in capture-based next generation sequencing.

    Science.gov (United States)

    van den Akker, Jeroen; Mishne, Gilad; Zimmer, Anjali D; Zhou, Alicia Y

    2018-04-17

    Next generation sequencing (NGS) has become a common technology for clinical genetic tests. The quality of NGS calls varies widely and is influenced by features like reference sequence characteristics, read depth, and mapping accuracy. With recent advances in NGS technology and software tools, the majority of variants called using NGS alone are in fact accurate and reliable. However, a small subset of difficult-to-call variants that still do require orthogonal confirmation exist. For this reason, many clinical laboratories confirm NGS results using orthogonal technologies such as Sanger sequencing. Here, we report the development of a deterministic machine-learning-based model to differentiate between these two types of variant calls: those that do not require confirmation using an orthogonal technology (high confidence), and those that require additional quality testing (low confidence). This approach allows reliable NGS-based calling in a clinical setting by identifying the few important variant calls that require orthogonal confirmation. We developed and tested the model using a set of 7179 variants identified by a targeted NGS panel and re-tested by Sanger sequencing. The model incorporated several signals of sequence characteristics and call quality to determine if a variant was identified at high or low confidence. The model was tuned to eliminate false positives, defined as variants that were called by NGS but not confirmed by Sanger sequencing. The model achieved very high accuracy: 99.4% (95% confidence interval: +/- 0.03%). It categorized 92.2% (6622/7179) of the variants as high confidence, and 100% of these were confirmed to be present by Sanger sequencing. Among the variants that were categorized as low confidence, defined as NGS calls of low quality that are likely to be artifacts, 92.1% (513/557) were found to be not present by Sanger sequencing. This work shows that NGS data contains sufficient characteristics for a machine-learning-based model to

  10. The Unreasonable Effectiveness of CALL: What Have We Learned in Two Decades of Research?

    Science.gov (United States)

    Felix, Uschi

    2008-01-01

    This paper presents a comprehensive picture of what has been investigated in terms of CALL effectiveness over the period 1981-2005 throwing light on why this question is still such a difficult one to answer unequivocally. The author looks at both strengths and weaknesses in this body of work, highlighting pitfalls and paradoxes in research…

  11. Mobile Learning: Using Application "Auralbook" to Learn Aural Skills

    Science.gov (United States)

    Chen, Chi Wai Jason

    2015-01-01

    This study is to investigate the effectiveness of using mobile devices such as iPhone/iPad/android phone/tablet to facilitate mobile learning in aural skills. The application "Auralbook" was designed in 2011 by an engineer/musician to use mobile devices to learn aural skills. This application enables students to sing, record, clap and…

  12. Mobile phone application for mathematics learning

    Science.gov (United States)

    Supandi; Ariyanto, L.; Kusumaningsih, W.; Aini, A. N.

    2018-03-01

    This research was aimed to determine the role of the use of Mobile Phone Application (MPA) in Mathematics learning. The Pre and Post-test Quasy Experiment method was applied. The Pre-test was performed to understand the initial capability. In contrast, the Post-test was selected to identify changes in student ability after they were introduced to the application of Mobile Technology. Student responses to the use of this application were evaluated by a questionnaire. Based on the questionnaire, high scores were achieved, indicating the student's interest in this application. Also, learning results showed significant improvement in the learning achievement and the student learning behaviour. It was concluded that education supported by the MPA application gave a positive impact on learning outcomes as well as learning atmosphere both in class and outside the classroom.

  13. The Role of Computer-Assisted Language Learning (CALL) in Promoting Learner Autonomy

    Science.gov (United States)

    Mutlu, Arzu; Eroz-Tuga, Betil

    2013-01-01

    Problem Statement: Teaching a language with the help of computers and the Internet has attracted the attention of many practitioners and researchers in the last 20 years, so the number of studies that investigate whether computers and the Internet promote language learning continues to increase. These studies have focused on exploring the beliefs…

  14. Leaders Learning Orientation and the HCM-turn in call centres

    DEFF Research Database (Denmark)

    Gnaur, Dorina

    2013-01-01

    as a significant leadership quality that promotes reflexivity in the ongoing processes of interpretation and meaning creation enhancing the human dimension in the production of service. Learning orientation will be related to high-commitment management (HCM) as a way to reconcile the logics of efficiency...

  15. "I Learned that There's a State Called Victoria and He Has Six Blue-Tongued Lizards!"

    Science.gov (United States)

    Charron, Nancy Necora

    2007-01-01

    In the study described in this article, fourth-grade teachers and students of different abilities and language backgrounds were interviewed before, during, and after participating in an Internet pen pal program. Results reveal that the program's authentic tasks and texts facilitated communication and enabled students to learn about a different…

  16. Making Skills Everyone's Business: A Call to Transform Adult Learning in the United States

    Science.gov (United States)

    Strawn, Julie

    2015-01-01

    To address the need to connect Americans with learning opportunities, the Office of Career, Technical, and Adult Education released the present report. Grounded in evidence and informed by effective and emerging practices, "Making Skills Everyone's Business" offers seven strategies that hold great promise for improving the conditions…

  17. Learning style preferences of surgical residency applicants.

    Science.gov (United States)

    Kim, Roger H; Gilbert, Timothy

    2015-09-01

    The learning style preferences of general surgery residents have been previously reported; there is evidence that residents who prefer read/write learning styles perform better on the American Board of Surgery In-Training Examination (ABSITE). However, little is known regarding the learning style preferences of applicants to general surgery residency and their impact on educational outcomes. In this study, the preferred learning styles of surgical residency applicants were determined. We hypothesized that applicant rank data are associated with specific learning style preferences. The Fleming VARK learning styles inventory was offered to all general surgery residency applicants that were interviewed at a university hospital-based program. The VARK model categorizes learners as visual (V), aural (A), read/write (R), kinesthetic (K), or multimodal (MM). Responses on the inventory were scored to determine the preferred learning style for each applicant. Applicant data, including United States Medical Licensing Examination (USMLE) scores, class rank, interview score, and overall final applicant ranking, were examined for association with preferred learning styles. Sixty-seven applicants were interviewed. Five applicants were excluded due to not completing the VARK inventory or having incomplete applicant data. The remaining 62 applicants (92%) were included for analysis. Most applicants (57%) had a multimodal preference. Sixty-nine percent of all applicants had some degree of preference for kinesthetic learning. There were statistically significant differences between applicants of different learning styles in terms of USMLE step 1 scores (P = 0.001) and USMLE step 2 clinical knowledge scores (P = 0.01), but not for class ranks (P = 0.27), interview scores (P = 0.20), or final ranks (P = 0.14). Multiple comparison analysis demonstrated that applicants with aural preferences had higher USMLE 1 scores (233.2) than those with kinesthetic (211.8, P = 0.005) or multimodal

  18. DESIGNING AND BUILDING EXERCISE MODEL OF TECHNICAL ENGLISH VOCABULARIES USING CALL (COMPUTER ASSISTED LANGUAGE LEARNING

    Directory of Open Access Journals (Sweden)

    Yogi Widiawati

    2017-11-01

    Full Text Available The research is aimed to assist and facilitate the students of Electrical and Electronics Department of Politeknik Negeri Jakarta (State Polytechnics of Jakarta, Indonesia, in learning technical English vocabulary. As technical students, they study ESP (English for Specific Purposes and they find some obstacles in memorizing technical vocabularies which are very important in order to read and understand manual books for laboratory and workshop. Some English technical vocabularies among others are “generate”, “pile”, “bench”, et cetera. The research outcome is software which will be beneficial for technical students, especially electrical and electronics students. This software can be used to practice their vocabulary skills, so they will be more skillful and knowledgeable. This software is designed by using the program of Rapid E-Learning Suite Version 5.2 and Flash CS3. The software practice contains some exercises on reading text and reading comprehension questions and presented with the multiple answers. This software is handy and flexible because students can bring it anywhere and be studied anytime. It is handy because this software is put and saved in CD (compact disc, so the students can take it with them anywhere and anytime they want to learn. In other words, they have flexibility to learn and practice English Technical Vocabularies. As a result, the students are found one of the ways to overcome their problems of memorizing vocabularies. The product is a kind of software which is easily used and portable so that the students can use the software anywhere and anytime. It consists of 3 (three sections of exercises. At the end of each exercise, the students are evaluated automatically by looking at the scoring system. These will encourage them to get good score by repeating it again and again. So the technical words are not problem for them. Furthermore, the students can practice technical English vocabulary both at home and

  19. A Dependence between Average Call Duration and Voice Transmission Quality: Measurement and applications

    NARCIS (Netherlands)

    Holub, J.; Beerends, J.G.; Smid, R.

    2004-01-01

    This contribution deals with the estimation of the relation between speech transmission quality and average call duration for a given network and portfolio of customers. It uses non-intrusive speech quality measurements on live speech calls. The basic idea behind this analysis is an expectation that

  20. Case studies in nanny state name-calling: what can we learn?

    Science.gov (United States)

    Magnusson, R S

    2015-08-01

    The 'nanny state' has become a popular metaphor in debates about public health regulation. It fulfils a particular role in that debate: to caution government against taking action. This paper presents case studies of nanny state criticisms, using them to identify a series of contextual features that may assist in better understanding, evaluating and where appropriate, resisting the rhetorical force of nanny state criticisms. The case studies presented include Rush Limbaugh's reactions to Michelle Obama's efforts to encourage American food companies to market healthier food to children; Christopher Hitchens' critique of New York City Mayor Michael Bloomberg's public health policies; and the reaction of neoliberal think tanks to Australia's plain tobacco packaging legislation. These case studies do not provide a basis for making generalisations about the practice of 'nanny state name-calling'. Nor do they preclude debate about the appropriate limits of government action. However, in appropriate cases they may assist policy-makers and public health advocates to contest the framing of public health interventions as unwarranted incursions into the private lives of individuals. One important lesson from these case studies is that the principal concern of nanny state critics is not loss of freedom as such, but the role of the state. The nanny state critique is ultimately a call for the state to be agnostic about the health of citizens, allowing market forces to dominate. Although the nanny state critique is not new, it is a significant challenge to government efforts to address lifestyle-influenced risk factors for non-communicable diseases, including tobacco use, harmful use of alcohol, and unhealthy diet. Copyright © 2015 The Author. Published by Elsevier Ltd.. All rights reserved.

  1. New Applications of Learning Machines

    DEFF Research Database (Denmark)

    Larsen, Jan

    * Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection......* Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection...

  2. Functionality for learning networks: lessons learned from social web applications

    NARCIS (Netherlands)

    Berlanga, Adriana; Sloep, Peter; Brouns, Francis; Van Rosmalen, Peter; Bitter-Rijpkema, Marlies; Koper, Rob

    2007-01-01

    Berlanga, A. J., Sloep, P., Brouns, F., Van Rosmalen, P., Bitter-Rijpkema, M., & Koper, R. (2007). Functionality for learning networks: lessons learned from social web applications. Proceedings of the ePortfolio 2007 Conference. October, 18-19, 2007, Maastricht, The Netherlands. [See also

  3. Civic Education and the Learning Behaviors of Youth in the Online Environment: A Call for Reform

    Directory of Open Access Journals (Sweden)

    Barbara A. Jansen

    2011-11-01

    Full Text Available Scholarly discourse in political science and communication studies is replete with empirical evidence lamenting the decline in civic engagement and political participation among adolescents and young adults. Scholars offer a variety of factors contributing to the disengagement of youth from the civic and political process including lack of attention paid to youth by politicians and the political process, the limited experience and a narrow frame of reference of young people in the political process, their aversion to traditional politics, and to poor quality courses and a decline in civic education in schools. Youth frequently lack civic and political knowledge as well as information and communications technology and social skills needed to engage in public life due in large part to the superficial coverage of substantive civic topics in textbooks and concentrating on knowledge level information that focuses on rights to the exclusion of obligations and participation. Civics curriculum often lacks opportunities for young people to embrace and communicate about politics on their own terms and frequently has little connection between the academic presentation of politics and the acquisition of skills that might help develop engaged citizens. Current approaches to civic education are at odds with young people’s experiences of informal participation with their peers in a nonhierarchical network. Traditional civics curriculum often treats subject matter as another academic subject with right or wrong answers arbitrated by the teacher as central authority and students in competition for grades. A growing body of literature discusses the affinity that youth have for Internet use and the possibilities of new media to address disengagement and to enhance new forms of citizenship calling for pedagogical reform in civic education.

  4. Why the changing American economy calls for twenty-first century learning: answers to educators' questions.

    Science.gov (United States)

    Levy, Frank; Murnane, Richard J

    2006-01-01

    While struggling with the current pressures of educational reform, some educators will ask whether their efforts make economic sense. Questioning the future makeup of the nation's workforce, many wonder how the educational system should be tempered to better prepare today's youth. This chapter answers educators' and parents' questions around the effect of fluctuations in the American economy on the future of education. The authors offer reassurance that good jobs will always be available, but warn that those jobs will require a new level of skills: expert thinking and complex communication. Schools need to go beyond their current curriculum and prepare students to use reading, math, and communication skills to build a deeper and more thoughtful understanding of subject matter. To explain the implications of the nation's changing economy on jobs, technology, and therefore education, the authors address a range of vital questions. Citing occupational distribution data, the chapter explores the supply and range of jobs in the future, as well as why changes in the U.S. job distribution have taken place. As much of the explanation for the shift in job distribution over the past several decades is due to the computerization of the workforce, the authors discuss how computers will affect the future composition of the workforce. The chapter also addresses the consequences of educational improvement on earnings distribution. The authors conclude that beyond workforce preparedness, students need to learn how to be contributing members of a democracy.

  5. Help Options in CALL: A Systematic Review

    Science.gov (United States)

    Cardenas-Claros, Monica S.; Gruba, Paul A.

    2009-01-01

    This paper is a systematic review of research investigating help options in the different language skills in computer-assisted language learning (CALL). In this review, emerging themes along with is-sues affecting help option research are identified and discussed. We argue that help options in CALL are application resources that do not only seem…

  6. 77 FR 61740 - Call for Applications for the International Buyer Program-Calendar Years 2014 and 2015

    Science.gov (United States)

    2012-10-11

    ... should describe in detail the international marketing program to be conducted for the event, and explain... DEPARTMENT OF COMMERCE International Trade Administration [Docket No. 120913451-2451-01] Call for Applications for the International Buyer Program-- Calendar Years 2014 and 2015 AGENCY: International Trade...

  7. 75 FR 78988 - Post-2014 Resource Pool-Loveland Area Projects, Allocation Procedures and Call for Applications

    Science.gov (United States)

    2010-12-17

    ... Administration (Western), a Federal power marketing agency of the Department of Energy (DOE), is publishing this... customers and for other appropriate purposes as determined by Western. These allocation procedures and call for applications, in conjunction with the Loveland Area Projects (LAP) Final Post-1989 Marketing Plan...

  8. The Artificial Intelligence Applications to Learning Programme.

    Science.gov (United States)

    Williams, Noel

    1992-01-01

    Explains the Artificial Intelligence Applications to Learning Programme, which was developed in the United Kingdom to explore and accelerate the use of artificial intelligence (AI) technologies in learning in both the educational and industrial sectors. Highlights include program evaluation, marketing, ownership of information, consortia, and cost…

  9. HTML5 for Mobile Applications for Learning

    NARCIS (Netherlands)

    Glahn, Christian

    2011-01-01

    Glahn, C. (2011). HTML5 for Mobile Applications for Learning. Presentation held at the Blueteam-Workshop, Bluetea/Stepco-group. February, 21, 2011, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

  10. Learning automata theory and applications

    CERN Document Server

    Najim, K

    1994-01-01

    Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why

  11. Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.

    Science.gov (United States)

    Huang, Shujun; Cai, Nianguang; Pacheco, Pedro Penzuti; Narrandes, Shavira; Wang, Yang; Xu, Wayne

    2018-01-01

    Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the classification feature of SVMs is expanding its use in cancer genomics, leading to the discovery of new biomarkers, new drug targets, and a better understanding of cancer driver genes. Herein we reviewed the recent progress of SVMs in cancer genomic studies. We intend to comprehend the strength of the SVM learning and its future perspective in cancer genomic applications. Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

  12. Aggregative Learning Method and Its Application for Communication Quality Evaluation

    Science.gov (United States)

    Akhmetov, Dauren F.; Kotaki, Minoru

    2007-12-01

    In this paper, so-called Aggregative Learning Method (ALM) is proposed to improve and simplify the learning and classification abilities of different data processing systems. It provides a universal basis for design and analysis of mathematical models of wide class. A procedure was elaborated for time series model reconstruction and analysis for linear and nonlinear cases. Data approximation accuracy (during learning phase) and data classification quality (during recall phase) are estimated from introduced statistic parameters. The validity and efficiency of the proposed approach have been demonstrated through its application for monitoring of wireless communication quality, namely, for Fixed Wireless Access (FWA) system. Low memory and computation resources were shown to be needed for the procedure realization, especially for data classification (recall) stage. Characterized with high computational efficiency and simple decision making procedure, the derived approaches can be useful for simple and reliable real-time surveillance and control system design.

  13. Deep Learning and Its Applications in Biomedicine.

    Science.gov (United States)

    Cao, Chensi; Liu, Feng; Tan, Hai; Song, Deshou; Shu, Wenjie; Li, Weizhong; Zhou, Yiming; Bo, Xiaochen; Xie, Zhi

    2018-02-01

    Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the understanding of human health and disease. Developed from artificial neural networks, deep learning-based algorithms show great promise in extracting features and learning patterns from complex data. The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical field. We first introduce the development of artificial neural network and deep learning. We then describe two main components of deep learning, i.e., deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning. Copyright © 2018. Production and hosting by Elsevier B.V.

  14. Machine learning applications in genetics and genomics.

    Science.gov (United States)

    Libbrecht, Maxwell W; Noble, William Stafford

    2015-06-01

    The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning applications for the analysis of genome sequencing data sets, including the annotation of sequence elements and epigenetic, proteomic or metabolomic data. We present considerations and recurrent challenges in the application of supervised, semi-supervised and unsupervised machine learning methods, as well as of generative and discriminative modelling approaches. We provide general guidelines to assist in the selection of these machine learning methods and their practical application for the analysis of genetic and genomic data sets.

  15. The Learning Called Psychomotor

    Science.gov (United States)

    Banville, Tom

    1976-01-01

    The nature of psychomotor skills and their relationship to academic achievement and positive self concept are discussed. Illustrations of program implementation and instructor preparation in several schools are presented. (RW)

  16. Virtual Physics Laboratory Application Based on the Android Smartphone to Improve Learning Independence and Conceptual Understanding

    Science.gov (United States)

    Arista, Fitra Suci; Kuswanto, Heru

    2018-01-01

    The research study concerned here was to: (1) produce a virtual physics laboratory application to be called ViPhyLab by using the Android smartphone as basis; (2) determine the appropriateness and quality of the virtual physics laboratory application that had been developed; and (3) describe the improvement in learning independence and conceptual…

  17. An e-learning application on electrochemotherapy

    Directory of Open Access Journals (Sweden)

    Bester Janez

    2009-10-01

    Full Text Available Abstract Background Electrochemotherapy is an effective approach in local tumour treatment employing locally applied high-voltage electric pulses in combination with chemotherapeutic drugs. In planning and performing electrochemotherapy a multidisciplinary expertise is required and collaboration, knowledge and experience exchange among the experts from different scientific fields such as medicine, biology and biomedical engineering is needed. The objective of this study was to develop an e-learning application in order to provide the educational content on electrochemotherapy and its underlying principles and to support collaboration, knowledge and experience exchange among the experts involved in the research and clinics. Methods The educational content on electrochemotherapy and cell and tissue electroporation was based on previously published studies from molecular dynamics, lipid bilayers, single cell level and simplified tissue models to complex biological tissues and research and clinical results of electrochemotherapy treatment. We used computer graphics such as model-based visualization (i.e. 3D numerical modelling using finite element method and 3D computer animations and graphical illustrations to facilitate the representation of complex biological and physical aspects in electrochemotherapy. The e-learning application is integrated into an interactive e-learning environment developed at our institution, enabling collaboration and knowledge exchange among the users. We evaluated the designed e-learning application at the International Scientific workshop and postgraduate course (Electroporation Based Technologies and Treatments. The evaluation was carried out by testing the pedagogical efficiency of the presented educational content and by performing the usability study of the application. Results The e-learning content presents three different levels of knowledge on cell and tissue electroporation. In the first part of the e-learning

  18. An e-learning application on electrochemotherapy.

    Science.gov (United States)

    Corovic, Selma; Bester, Janez; Miklavcic, Damijan

    2009-10-20

    Electrochemotherapy is an effective approach in local tumour treatment employing locally applied high-voltage electric pulses in combination with chemotherapeutic drugs. In planning and performing electrochemotherapy a multidisciplinary expertise is required and collaboration, knowledge and experience exchange among the experts from different scientific fields such as medicine, biology and biomedical engineering is needed. The objective of this study was to develop an e-learning application in order to provide the educational content on electrochemotherapy and its underlying principles and to support collaboration, knowledge and experience exchange among the experts involved in the research and clinics. The educational content on electrochemotherapy and cell and tissue electroporation was based on previously published studies from molecular dynamics, lipid bilayers, single cell level and simplified tissue models to complex biological tissues and research and clinical results of electrochemotherapy treatment. We used computer graphics such as model-based visualization (i.e. 3D numerical modelling using finite element method) and 3D computer animations and graphical illustrations to facilitate the representation of complex biological and physical aspects in electrochemotherapy. The e-learning application is integrated into an interactive e-learning environment developed at our institution, enabling collaboration and knowledge exchange among the users. We evaluated the designed e-learning application at the International Scientific workshop and postgraduate course (Electroporation Based Technologies and Treatments). The evaluation was carried out by testing the pedagogical efficiency of the presented educational content and by performing the usability study of the application. The e-learning content presents three different levels of knowledge on cell and tissue electroporation. In the first part of the e-learning application we explain basic principles of

  19. Learning Laravel 4 application development

    CERN Document Server

    Dangar, Hardik

    2014-01-01

    This book is written in a simple and easy-to-understand manner, with each chapter contributing as a standalone project that will give you as a reader something to reflect on as you're learning.This book is aimed at amateur PHP developers with a desire to get a firm understanding of the Lavarel 4 framework. Basic knowledge of PHP will be helpful, however in-depth knowledge is not a must.

  20. Visual Learning in Application of Integration

    Science.gov (United States)

    Bt Shafie, Afza; Barnachea Janier, Josefina; Bt Wan Ahmad, Wan Fatimah

    Innovative use of technology can improve the way how Mathematics should be taught. It can enhance student's learning the concepts through visualization. Visualization in Mathematics refers to us of texts, pictures, graphs and animations to hold the attention of the learners in order to learn the concepts. This paper describes the use of a developed multimedia courseware as an effective tool for visual learning mathematics. The focus is on the application of integration which is a topic in Engineering Mathematics 2. The course is offered to the foundation students in the Universiti Teknologi of PETRONAS. Questionnaire has been distributed to get a feedback on the visual representation and students' attitudes towards using visual representation as a learning tool. The questionnaire consists of 3 sections: Courseware Design (Part A), courseware usability (Part B) and attitudes towards using the courseware (Part C). The results showed that students demonstrated the use of visual representation has benefited them in learning the topic.

  1. System Quality Characteristics for Selecting Mobile Learning Applications

    Science.gov (United States)

    Sarrab, Mohamed; Al-Shihi, Hafedh; Al-Manthari, Bader

    2015-01-01

    The majority of M-learning (Mobile learning) applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased…

  2. Application of machine learning methods in bioinformatics

    Science.gov (United States)

    Yang, Haoyu; An, Zheng; Zhou, Haotian; Hou, Yawen

    2018-05-01

    Faced with the development of bioinformatics, high-throughput genomic technology have enabled biology to enter the era of big data. [1] Bioinformatics is an interdisciplinary, including the acquisition, management, analysis, interpretation and application of biological information, etc. It derives from the Human Genome Project. The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets.[2]. This paper analyzes and compares various algorithms of machine learning and their applications in bioinformatics.

  3. Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications.

    Science.gov (United States)

    Minor, Bryan; Doppa, Janardhan Rao; Cook, Diane J

    2017-12-01

    Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts of sensing data. However, there are significant challenges in converting this large-scale sensing data into decisions for real-world applications. Motivated by applications like health monitoring and intervention and home automation we consider a novel problem called Activity Prediction , where the goal is to predict future activity occurrence times from sensor data. In this paper, we make three main contributions. First, we formulate and solve the activity prediction problem in the framework of imitation learning and reduce it to a simple regression learning problem. This approach allows us to leverage powerful regression learners that can reason about the relational structure of the problem with negligible computational overhead. Second, we present several metrics to evaluate activity predictors in the context of real-world applications. Third, we evaluate our approach using real sensor data collected from 24 smart home testbeds. We also embed the learned predictor into a mobile-device-based activity prompter and evaluate the app for 9 participants living in smart homes. Our results indicate that our activity predictor performs better than the baseline methods, and offers a simple approach for predicting activities from sensor data.

  4. Ensemble Machine Learning Methods and Applications

    CERN Document Server

    Ma, Yunqian

    2012-01-01

    It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face detection and are now being applied in areas as diverse as object trackingand bioinformatics.   Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including various contributions from researchers in leading industrial research labs. At once a solid theoretical study and a practical guide, the volume is a windfall for r...

  5. Applications of Deep Learning in Biomedicine.

    Science.gov (United States)

    Mamoshina, Polina; Vieira, Armando; Putin, Evgeny; Zhavoronkov, Alex

    2016-05-02

    Increases in throughput and installed base of biomedical research equipment led to a massive accumulation of -omics data known to be highly variable, high-dimensional, and sourced from multiple often incompatible data platforms. While this data may be useful for biomarker identification and drug discovery, the bulk of it remains underutilized. Deep neural networks (DNNs) are efficient algorithms based on the use of compositional layers of neurons, with advantages well matched to the challenges -omics data presents. While achieving state-of-the-art results and even surpassing human accuracy in many challenging tasks, the adoption of deep learning in biomedicine has been comparatively slow. Here, we discuss key features of deep learning that may give this approach an edge over other machine learning methods. We then consider limitations and review a number of applications of deep learning in biomedical studies demonstrating proof of concept and practical utility.

  6. Machine learning paradigms applications in recommender systems

    CERN Document Server

    Lampropoulos, Aristomenis S

    2015-01-01

    This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...

  7. Employee Learning Theories and Their Organizational Applications

    Directory of Open Access Journals (Sweden)

    Abdussalaam Iyanda Ismail

    2017-12-01

    Full Text Available Empirical evidence identifies that organizational success hinges on employees with the required knowledge, skills, and abilities and that employees’ effectiveness at learning new skills and knowledge is connected with the kind of learning technique the organization adopts. Given this, this work explored employee learning theories and their organizational applications. Using far reaching literature survey and extensive theoretical and logical argument and exposition. This paper revealed that cognitive-based approaches, non-cognitive approach and need-based approaches play vital roles in shrinking the occurrence of unwanted behaviors and upturning the occurrence of desired behaviors in the organization. Proper application of the theories can induce positive employee behaviors such as task performance and organizational citizenship behavior and consequently enhance both individual and organizational performance. This work has hopefully contributed to the enrichment of the existing relevant literature and served as a useful guide for stakeholders on how they can stimulate positive employee behaviors and the consequent enhanced organizational performance.

  8. Learning theories application in nursing education

    Science.gov (United States)

    Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

    2015-01-01

    Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including social cognitive learning, learning theory, behavioral theory, cognitive theory, constructive theory, and nursing education. The search period was considered from 1990 to 2012. Some related books were also studied about each method, its original vision, the founders, practical application of the training theory, especially training of nursing and its strengths and weaknesses. Behaviorists believe that learning is a change in an observable behavior and it happens when the communication occurs between the two events, a stimulus and a response. Among the applications of this approach is the influence on the learner's emotional reactions. Among the theories of this approach, Thorndike and Skinner works are subject to review and critique. Cognitive psychologists unlike the behaviorists believe that learning is an internal process objective and they focus on thinking, understanding, organizing, and consciousness. Fundamentalists believe that learners should be equipped with the skills of inquiry and problem solving in order to learn by the discovery and process of information. Among this group, we will pay attention to analyze Wertheimer, Brunner, Ausubel theories, Ganyeh information processing model, in addition to its applications in nursing education. Humanists in learning pay attention to the feelings and experiences. Carl Rogers support the retention of learning-centered approach and he is believed to a semantic continuum. At the other end of the continuum, experiential learning is

  9. Learning theories application in nursing education.

    Science.gov (United States)

    Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

    2015-01-01

    Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including social cognitive learning, learning theory, behavioral theory, cognitive theory, constructive theory, and nursing education. The search period was considered from 1990 to 2012. Some related books were also studied about each method, its original vision, the founders, practical application of the training theory, especially training of nursing and its strengths and weaknesses. Behaviorists believe that learning is a change in an observable behavior and it happens when the communication occurs between the two events, a stimulus and a response. Among the applications of this approach is the influence on the learner's emotional reactions. Among the theories of this approach, Thorndike and Skinner works are subject to review and critique. Cognitive psychologists unlike the behaviorists believe that learning is an internal process objective and they focus on thinking, understanding, organizing, and consciousness. Fundamentalists believe that learners should be equipped with the skills of inquiry and problem solving in order to learn by the discovery and process of information. Among this group, we will pay attention to analyze Wertheimer, Brunner, Ausubel theories, Ganyeh information processing model, in addition to its applications in nursing education. Humanists in learning pay attention to the feelings and experiences. Carl Rogers support the retention of learning-centered approach and he is believed to a semantic continuum. At the other end of the continuum, experiential learning is

  10. APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN COMPUTER AIDED LANGUAGE LEARNING

    Directory of Open Access Journals (Sweden)

    I. B. Tampel

    2013-01-01

    Full Text Available The article deals with the various ways of application for automatic speech recognition, Text-to-Speech technology, pronunciation and communication skills training, vocabulary check of the taught person, audition skills training in computer aided language learning (CALL-system. In spite of some constraints such technologies application is effective both for education problems simplification and for comfort growth of the system application.

  11. Applications of Deep Learning and Reinforcement Learning to Biological Data.

    Science.gov (United States)

    Mahmud, Mufti; Kaiser, Mohammed Shamim; Hussain, Amir; Vassanelli, Stefano

    2018-06-01

    Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These have generated novel opportunities for development of dedicated data-intensive machine learning techniques. In particular, recent research in deep learning (DL), reinforcement learning (RL), and their combination (deep RL) promise to revolutionize the future of artificial intelligence. The growth in computational power accompanied by faster and increased data storage, and declining computing costs have already allowed scientists in various fields to apply these techniques on data sets that were previously intractable owing to their size and complexity. This paper provides a comprehensive survey on the application of DL, RL, and deep RL techniques in mining biological data. In addition, we compare the performances of DL techniques when applied to different data sets across various application domains. Finally, we outline open issues in this challenging research area and discuss future development perspectives.

  12. The Effect of Computer Assisted Language Learning (CALL) on Performance in the Test of English for International Communication (TOEIC) Listening Module

    Science.gov (United States)

    van Han, Nguyen; van Rensburg, Henriette

    2014-01-01

    Many companies and organizations have been using the Test of English for International Communication (TOEIC) for business and commercial communication purpose in Vietnam and around the world. The present study investigated the effect of Computer Assisted Language Learning (CALL) on performance in the Test of English for International Communication…

  13. Development of Web-Based Learning Application for Generation Z

    Science.gov (United States)

    Hariadi, Bambang; Dewiyani Sunarto, M. J.; Sudarmaningtyas, Pantjawati

    2016-01-01

    This study aimed to develop a web-based learning application as a form of learning revolution. The form of learning revolution includes the provision of unlimited teaching materials, real time class organization, and is not limited by time or place. The implementation of this application is in the form of hybrid learning by using Google Apps for…

  14. Conceptual Design of a Mobile Application for Geography Fieldwork Learning

    Directory of Open Access Journals (Sweden)

    Xiaoling Wang

    2017-11-01

    Full Text Available The use of mobile applications on smartphones has a vast potential to support learning in the field. However, all learning technologies should be properly designed. To this end, we adopt User-Centered Design (UCD to design a mobile application, called GeoFARA (Geography Fieldwork Augmented Reality Application, for university geography fieldwork. This paper is about the conceptual design of GeoFARA based on its use and user requirements. The paper first establishes a review of selected existing mobile AR applications for outdoor use, in order to identify the innovative aspects and the improvements of GeoFARA. Thereafter, we present the results of use and user requirements derived from (1 an online survey of the current use of tools in undergraduate geography fieldwork, (2 a field experiment in which the use of paper maps and a mobile mapping tool were compared, (3 investigations during a human geography fieldwork, (4 post-fieldwork surveys among undergraduates from two universities, (5 our use case, and (6 a use scenario. Based on these requirements, a conceptual design of GeoFARA is provided in terms of technical specifications, main contents, functionalities, as well as user interactions and interfaces. This conceptual design will guide the future prototype development of GeoFARA.

  15. Convergence of calls as animals form social bonds, active compensation for noisy communication channels, and the evolution of vocal learning in mammals.

    Science.gov (United States)

    Tyack, Peter L

    2008-08-01

    The classic evidence for vocal production learning involves imitation of novel, often anthropogenic sounds. Among mammals, this has been reported for dolphins, elephants, harbor seals, and humans. A broader taxonomic distribution has been reported for vocal convergence, where the acoustic properties of calls from different individuals converge when they are housed together in captivity or form social bonds in the wild. Vocal convergence has been demonstrated for animals as diverse as songbirds, parakeets, hummingbirds, bats, elephants, cetaceans, and primates. For most species, call convergence is thought to reflect a group-distinctive identifier, with shared calls reflecting and strengthening social bonds. A ubiquitous function for vocal production learning that is starting to receive attention involves modifying signals to improve communication in a noisy channel. Pooling data on vocal imitation, vocal convergence, and compensation for noise suggests a wider taxonomic distribution of vocal production learning among mammals than has been generally appreciated. The wide taxonomic distribution of this evidence for vocal production learning suggests that perhaps more of the neural underpinnings for vocal production learning are in place in mammals than is usually recognized. (c) 2008 APA, all rights reserved

  16. Models in Science Education: Applications of Models in Learning and Teaching Science

    Science.gov (United States)

    Ornek, Funda

    2008-01-01

    In this paper, I discuss different types of models in science education and applications of them in learning and teaching science, in particular physics. Based on the literature, I categorize models as conceptual and mental models according to their characteristics. In addition to these models, there is another model called "physics model" by the…

  17. Quality Assurance in E-Learning: PDPP Evaluation Model and its Application

    Directory of Open Access Journals (Sweden)

    Weiyuan Zhang

    2012-06-01

    Full Text Available E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of e-learning, however, is essential for the quality assurance of e-learning courses. This paper constructs a four-phase evaluation model for e-learning courses, which includes planning, development, process, and product evaluation, called the PDPP evaluation model. Planning evaluation includes market demand, feasibility, target student group, course objectives, and finance. Development evaluation includes instructional design, course material design, course Web site design, flexibility, student-student interaction, teacher/tutor support, technical support, and assessment. Process evaluation includes technical support, Web site utilization, learning interaction, learning evaluation, learning support, and flexibility. Product evaluation includes student satisfaction, teaching effectiveness, learning effectiveness, and sustainability. Using the PDPP model as a research framework, a purely e-learning course on Research Methods in Distance Education, developed by the School of Professional and Continuing Education at the University of Hong Kong (HKU SPACE and jointly offered with the School of Distance Learning for Medical Education of Peking University (SDLME, PKU, was used as a case study. Sixty students from mainland China, Hong Kong, Macau, and Malaysia were recruited for this course. According to summative evaluation through a student e-learning experience survey, the majority of students were very satisfied/satisfied on all e-learning dimensions of this course. The majority of students thought that the learning effectiveness of this course was equivalent, even better, than face-to-face learning because of cross-border collaborative learning, student-centred learning, sufficient learning support, and learning flexibility. This study shows that a high quality of teaching and learning might be assured by

  18. Student use and pedagogical impact of a mobile learning application.

    Science.gov (United States)

    Teri, Saskia; Acai, Anita; Griffith, Douglas; Mahmoud, Qusay; Ma, David W L; Newton, Genevieve

    2014-01-01

    Mobile learning (m-learning) is a relevant innovation in teaching and learning in higher education. A mobile app called NutriBiochem was developed for use in biochemistry and nutrition education for students in a second year Biochemistry and Metabolism course. NutriBiochem was accessed through smartphones, tablets, or computers. Students were surveyed upon completion of the final exam (n = 88). Survey questions assessed frequency of use, motivations for use, and perceptions of app usefulness. The pedagogical impact of NutriBiochem was evaluated by measuring the relationship between frequency of use and final course grade. Just over half of the students used the app, and ∼80% of users accessed the app moderately or infrequently. Smartphones were the most common device and the preferred device on which to access the app. There were no statistical differences in mean final grade between users and nonusers. Students with higher comfort levels with technology accessed the app more broadly than those with lower level of comfort with technology. Over 75% of students agreed that NutriBiochem was a useful learning tool, but fewer (∼45%) felt it helped them perform better in the course. The findings of this study are important, as they suggest that NutriBiochem is an effective study tool for students who are comfortable with technology, and access it regularly. Overall, the use of mobile applications in science education has been shown to be: 1) effective in enhancing students' learning experience; 2) relevant and important as an emergent method of learning given modern pressures facing higher education; and, 3) met with positive student attitudes and perceptions in terms of adopting and using such technology for educational purposes. © 2013 by The International Union of Biochemistry and Molecular Biology.

  19. System Quality Characteristics for Selecting Mobile Learning Applications

    Directory of Open Access Journals (Sweden)

    Mohamed SARRAB

    2015-10-01

    Full Text Available The majority of M-learning (Mobile learning applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased recognition and adoption by different organizations. With the high number of M-learning applications available today, making the right decision about which, application to choose can be quite challenging. To date there is no complete and well defined set of system characteristics for such M-learning applications. This paper presents system quality characteristics for selecting M-learning applications based on the result of a systematic review conducted in this domain.

  20. Calle Blanco

    Directory of Open Access Journals (Sweden)

    Gonzalo Cerda Brintrup

    1988-06-01

    Full Text Available Importante arteria, que comunica el sector del puerto con la plaza. Las más imponentes construcciones se sucedían de un modo continuo, encaramándose a ambos lados de la empinada calle. Antes del gran incendio de 1936 grandes casonas de madera destacaban en calle Irarrázabal y en la esquina de ésta con calle Blanco, la más hermosa construcción pertenecía a don Alberto Oyarzún y la casa vecina hacia Blanco era de don Mateo Miserda, limitada por arriba con la casa de don Augusto Van Der Steldt y ésta era seguida de la casa de don David Barrientos provista de cuatro cúpulas en las esquinas y de un amplio corredor en el frontis. Todas estas construcciones de madera fueron destruidas en el gran incendio de 1936.

  1. Exercise, character strengths, well-being, and learning climate in the prediction of performance over a 6-month period at a call center.

    Science.gov (United States)

    Moradi, Saleh; Nima, Ali A; Rapp Ricciardi, Max; Archer, Trevor; Garcia, Danilo

    2014-01-01

    Performance monitoring might have an adverse influence on call center agents' well-being. We investigate how performance, over a 6-month period, is related to agents' perceptions of their learning climate, character strengths, well-being (subjective and psychological), and physical activity. Agents (N = 135) self-reported perception of the learning climate (Learning Climate Questionnaire), character strengths (Values In Action Inventory Short Version), well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version), and how often/intensively they engaged in physical activity. Performance, "time on the phone," was monitored for 6 consecutive months by the same system handling the calls. Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective) and Temperance (e.g., having self-control, being prudent, humble, and modest), and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation) and Justice (e.g., affiliation, fairness, leadership), positive affect, life satisfaction and exercise Intensity. Call centers may need to create opportunities to develop to increase agents' performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes.

  2. Exercise, Character Strengths, Well-Being and Learning Climate in the Prediction of Performance over a Six-Month Period at a Call Center

    Directory of Open Access Journals (Sweden)

    Saleh eMoradi

    2014-06-01

    Full Text Available Background: Performance monitoring might have an adverse influence on call center agents’ well-being. We investigate how performance, over a six-month period, is related to agents’ perceptions of their learning climate, character strengths, well-being (subjective and psychological, and physical activity.Method: Agents (N = 135 self-reported perception of the learning climate (Learning Climate Questionnaire, character strengths (Values In Action Inventory Short Version, well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version, and how often/intensively they engaged in physical activity. Performance, time on the phone, was monitored for six consecutive months by the same system handling the calls. Results: Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective and Temperance (e.g., having self-control, being prudent, humble, and modest, and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation and Justice (e.g., affiliation, fairness, leadership, positive affect, life satisfaction and exercise Intensity.Conclusion: Call centers may need to create opportunities to develop to increase agents’ performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes.

  3. Introduction to spiking neural networks: Information processing, learning and applications.

    Science.gov (United States)

    Ponulak, Filip; Kasinski, Andrzej

    2011-01-01

    The concept that neural information is encoded in the firing rate of neurons has been the dominant paradigm in neurobiology for many years. This paradigm has also been adopted by the theory of artificial neural networks. Recent physiological experiments demonstrate, however, that in many parts of the nervous system, neural code is founded on the timing of individual action potentials. This finding has given rise to the emergence of a new class of neural models, called spiking neural networks. In this paper we summarize basic properties of spiking neurons and spiking networks. Our focus is, specifically, on models of spike-based information coding, synaptic plasticity and learning. We also survey real-life applications of spiking models. The paper is meant to be an introduction to spiking neural networks for scientists from various disciplines interested in spike-based neural processing.

  4. Practical Applications and Experiences in K-20 Blended Learning Environments

    Science.gov (United States)

    Kyei-Blankson, Lydia, Ed.; Ntuli, Esther, Ed.

    2014-01-01

    Learning environments continue to change considerably and is no longer confined to the face-to-face classroom setting. As learning options have evolved, educators must adopt a variety of pedagogical strategies and innovative technologies to enable learning. "Practical Applications and Experiences in K-20 Blended Learning Environments"…

  5. The Implementation of Mobile Learning in Outdoor Education: Application of

    Science.gov (United States)

    Lai, Hsin-Chih; Chang, Chun-Yen; Li, Wen-Shiane; Fan, Yu-Lin; Wu, Ying-Tien

    2013-01-01

    This study presents an m-learning method that incorporates Integrated Quick Response (QR) codes. This learning method not only achieves the objectives of outdoor education, but it also increases applications of Cognitive Theory of Multimedia Learning (CTML) (Mayer, 2001) in m-learning for practical use in a diverse range of outdoor locations. When…

  6. Web Applications That Promote Learning Communities in Today's Online Classrooms

    Science.gov (United States)

    Reigle, Rosemary R.

    2015-01-01

    The changing online learning environment requires that instructors depend less on the standard tools built into most educational learning platforms and turn their focus to use of Open Educational Resources (OERs) and free or low-cost commercial applications. These applications permit new and more efficient ways to build online learning communities…

  7. Analysis of applications suitable for mobile learning of preschool children

    OpenAIRE

    Stoimenovski, Aleksandar; Kraleva, Radoslava; Kralev, Velin

    2016-01-01

    This article considers the use of mobile learning in Bulgarian education by young children. The most used mobile operating systems are analyzed. Also some of the most used existing applications suitable for mobile learning of preschool children are presented and classified. Keywords: Mobile applications for preschool children, mobile learning.

  8. Learning curve tool applications in DOE materials management activities

    International Nuclear Information System (INIS)

    Lipinski, A.

    1994-01-01

    This paper will examine the application of learning curve theory, an economic theory that quantifies cost savings over time in a labor intensive process. Learning curve theory has been traditionally applied to a production process. This paper examines the application of learning curve theory in cost estimating of waste characterization in storage at a DOE facility

  9. Planung einer Mobile Learning Application für medizinische Lerninhalte [Planning of a mobile learning application for medical contents

    Directory of Open Access Journals (Sweden)

    Walther, Patrick

    2013-11-01

    Full Text Available [english] Due to the high popularity of mobile devices barriers for mobile learning are becoming less. Place-and time-independent access to information is part of everyday life. The number of mobile applications is steadily growing. Currently there are more than 500,000 mobile applications, so-called apps, available for the Apple iPhone/iPad which can be downloaded in the Apple iTunes Store. More than ten percent of these apps are mobile learning applications.Before starting development of a mobile app we need to analyze all requirements accurately. This is due to the fact that there is a multiplicity of different operating systems with different functionalities. This paper shows general properties of so-called native, hybrid, and web applications and advantages and disadvantages in development and use of the finished application. In addition, current software, which supports the development of a mobile application is explained.Finally the differences of the various development options are shown based on concrete mobile applications.[german] Aufgrund der hohen Verbreitung mobiler Endgeräte werden die Barrieren für das mobile Lernen immer geringer und orts- und zeitunabhängiger Zugriff auf Informationen ist längst im Alltag angekommen. Die Zahl mobiler Applikation wächst stetig an. So stehen beispielsweise aktuell mehr als 500.000 mobile Applikationen, sogenannte Apps, für das Apple iPhone/iPad, dem Nutzer über den Apple iTunes Store bereit. Hiervon sind mehr als zehn Prozent mobile Lernapplikationen.Vor der eigentlichen Entwicklung einer App muss, u.a. aufgrund der Vielzahl mobiler Betriebssysteme und Funktionen der verschiedenen mobilen Endgeräte, zuvor eine genaue Bedarfsanalyse durchgeführt werden um die passende Entwicklungsvariante zu wählen.In diesem Beitrag werden die verschiedenen Möglichkeiten (nativ, hybrid, web zur Entwicklung einer mobilen Applikation, als auch deren Vor- und Nachteile bei der Entwicklung und Nutzung der

  10. Learning Strategies in Play during Basic Training for Medal of Honor and Call of Duty Video Games

    Science.gov (United States)

    Ziaeehezarjeribi, Yadi

    2010-01-01

    This study, based on experiential play methodology was used to explore student engagement while playing "Medal of Honor (2002)" and "Call of Duty (2003)". It identifies some of the key issues related to the use of video games and simulations during the training phase of game play. Research into the effects of gaming in education has been extremely…

  11. Pedagogical Scholarship in Public Health: A Call for Cultivating Learning Communities to Support Evidence-Based Education.

    Science.gov (United States)

    Merzel, Cheryl; Halkitis, Perry; Healton, Cheryl

    Public health education is experiencing record growth and transformation. The current emphasis on learning outcomes necessitates attention to creating and evaluating the best curricula and learning methods for helping public health students develop public health competencies. Schools and programs of public health would benefit from active engagement in pedagogical research and additional platforms to support dissemination and implementation of educational research findings. We reviewed current avenues for sharing public health educational research, curricula, and best teaching practices; we identified useful models from other health professions; and we offered suggestions for how the field of public health education can develop communities of learning devoted to supporting pedagogy. Our goal was to help advance an agenda of innovative evidence-based public health education, enabling schools and programs of public health to evaluate and measure success in meeting the current and future needs of the public health profession.

  12. EMERGENCY CALLS

    CERN Multimedia

    Medical Service

    2001-01-01

    IN URGENT NEED OF A DOCTOR GENEVA EMERGENCY SERVICES GENEVA AND VAUD 144 FIRE BRIGADE 118 POLICE 117 CERN FIREMEN 767-44-44 ANTI-POISONS CENTRE Open 24h/24h 01-251-51-51 Patient not fit to be moved, call family doctor, or: GP AT HOME, open 24h/24h 748-49-50 Association Of Geneva Doctors Emergency Doctors at home 07h-23h 322 20 20 Patient fit to be moved: HOPITAL CANTONAL CENTRAL 24 Micheli-du-Crest 372-33-11 ou 382-33-11 EMERGENCIES 382-33-11 ou 372-33-11 CHILDREN'S HOSPITAL 6 rue Willy-Donzé 372-33-11 MATERNITY 32 bvd.de la Cluse 382-68-16 ou 382-33-11 OPHTHALMOLOGY 22 Alcide Jentzer 382-33-11 ou 372-33-11 MEDICAL CENTRE CORNAVIN 1-3 rue du Jura 345 45 50 HOPITAL DE LA TOUR Meyrin EMERGENCIES 719-61-11 URGENCES PEDIATRIQUES 719-61-00 LA TOUR MEDICAL CENTRE 719-74-00 European Emergency Call 112 FRANCE EMERGENCY SERVICES 15 FIRE BRIGADE 18 POLICE 17 CERN FIREMEN AT HOME 00-41-22-767-44-44 ANTI-POISONS CENTRE Open 24h/24h 04-72-11-69-11 All doctors ...

  13. Under which conditions does ICT have a positive effect on teaching and learning? A Call to Action

    NARCIS (Netherlands)

    Voogt, Joke; Knezek, G.; Cox, M.; Knezek, D.; ten Brummelhuis, A.C.A.

    2013-01-01

    Under which conditions does ICT have a positive effect on teaching and learning?’ This was the leading question of the International EDUsummIT in The Hague, the Netherlands. The bases for the discussion were the scholarly findings of the International Handbook of Information Technology in Primary

  14. Under Which Conditions Does ICT Have a Positive Effect on Teaching and Learning? A Call to Action

    Science.gov (United States)

    Voogt, J.; Knezek, G.; Cox, M.; Knezek, D.; ten Brummelhuis, A.

    2013-01-01

    "Under which conditions does ICT have a positive effect on teaching and learning?" This was the leading question of the International EDUsummIT in The Hague, the Netherlands. The bases for the discussion were the scholarly findings of the International Handbook of Information Technology in Primary and Secondary Education, a synthesis of research…

  15. Critically Evaluating Prensky in a Language Learning Context: The "Digital Natives/Immigrants Debate" and Its Implications for CALL

    Science.gov (United States)

    Benini, Silvia; Murray, Liam

    2013-01-01

    More than 10 years have passed since the first introduction of the term "digital natives" in Prensky's (2001a, 2001b) two seminal articles. Prensky argues that students today, having grown up in the Digital Age, learn differently from their predecessors, or "digital immigrants". As such, the pedagogical tools and methods used…

  16. Reciprocal Learning Strategy in CALL Environment: A Case Study of EFL Teaching at X University in Shanghai

    Science.gov (United States)

    Liu, An; Bu, Yuhua

    2016-01-01

    Colleges and universities in China have been bent on remolding the existing unitary teacher-centered education mode and enhancing students' individualized and autonomous learning with the help of multimedia and cyber technology in order to meet the College English Curriculum Requirements instituted by the Ministry of Education in 2004. Admittedly…

  17. The Learner, the Media and the Community: How Does Learning Take Place in the Other CALL Triangle?

    Science.gov (United States)

    Sockett, Geoffrey

    2012-01-01

    In this research project, students in applied linguistics were asked to keep blogs over a three-month period in which they reported on their online informal learning of English through activities such as social networking, downloading films and TV series and listening to music on demand. The study is situated within the framework of complexity…

  18. Online Social Media Applications for Constructivism and Observational Learning

    OpenAIRE

    Lydia Mbati

    2013-01-01

    Web 2.0 technologies have a range of possibilities for fostering constructivist learning and observational learning. This is due to the available applications which allow for synchronous and asynchronous interaction and the sharing of knowledge between users. Web 2.0 tools include online social media applications which have potential pedagogical benefits. Despite these potential benefits, there is inadequate utilization of online social media applications in learning management systems for pe...

  19. Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.

    Science.gov (United States)

    Choi, Hailey H; Clark, Jennifer; Jay, Ann K; Filice, Ross W

    2018-02-01

    Feedback is an essential part of medical training, where trainees are provided with information regarding their performance and further directions for improvement. In diagnostic radiology, feedback entails a detailed review of the differences between the residents' preliminary interpretation and the attendings' final interpretation of imaging studies. While the on-call experience of independently interpreting complex cases is important to resident education, the more traditional synchronous "read-out" or joint review is impossible due to multiple constraints. Without an efficient method to compare reports, grade discrepancies, convey salient teaching points, and view images, valuable lessons in image interpretation and report construction are lost. We developed a streamlined web-based system, including report comparison and image viewing, to minimize barriers in asynchronous communication between attending radiologists and on-call residents. Our system provides real-time, end-to-end delivery of case-specific and user-specific feedback in a streamlined, easy-to-view format. We assessed quality improvement subjectively through surveys and objectively through participation metrics. Our web-based feedback system improved user satisfaction for both attending and resident radiologists, and increased attending participation, particularly with regards to cases where substantive discrepancies were identified.

  20. Peer Feedback, Learning, and Improvement: Answering the Call of the Institute of Medicine Report on Diagnostic Error.

    Science.gov (United States)

    Larson, David B; Donnelly, Lane F; Podberesky, Daniel J; Merrow, Arnold C; Sharpe, Richard E; Kruskal, Jonathan B

    2017-04-01

    In September 2015, the Institute of Medicine (IOM) published a report titled "Improving Diagnosis in Health Care," in which it was recommended that "health care organizations should adopt policies and practices that promote a nonpunitive culture that values open discussion and feedback on diagnostic performance." It may seem counterintuitive that a report addressing a highly technical skill such as medical diagnosis would be focused on organizational culture. The wisdom becomes clearer, however, when examined in the light of recent advances in the understanding of human error and individual and organizational performance. The current dominant model for radiologist performance improvement is scoring-based peer review, which reflects a traditional quality assurance approach, derived from manufacturing in the mid-1900s. Far from achieving the goals of the IOM, which are celebrating success, recognizing mistakes as an opportunity to learn, and fostering openness and trust, we have found that scoring-based peer review tends to drive radiologists inward, against each other, and against practice leaders. Modern approaches to quality improvement focus on using and enhancing interpersonal professional relationships to achieve and maintain high levels of individual and organizational performance. In this article, the authors review the recommendations set forth by the recent IOM report, discuss the science and theory that underlie several of those recommendations, and assess how well they fit with the current dominant approach to radiology peer review. The authors also offer an alternative approach to peer review: peer feedback, learning, and improvement (or more succinctly, "peer learning"), which they believe is better aligned with the principles promoted by the IOM. © RSNA, 2016.

  1. A call for a multifaceted approach to language learning motivation research: Combining complexity, humanistic, and critical perspectives

    Directory of Open Access Journals (Sweden)

    Julian Pigott

    2012-10-01

    Full Text Available In this paper I give an overview of recent developments in the L2 motivation field, in particular the movement away from quantitative, questionnaire-based methodologies toward smaller-scale qualitative studies incorporating concepts from complexity theory. While complexity theory provides useful concepts for exploring motivation in new ways, it has nothing to say about ethics, morality, ideology, politics, power or educational purpose. Furthermore, calls for its use come primarily from researchers from the quantitative tradition whose aim in importing this paradigm from the physical sciences appears to be to conceptualize and model motivation more accurately. The endeavor therefore remains a fundamentally positivist one. Rather than being embraced as a self-contained methodology, I argue that complexity theory should be used cautiously and prudently alongside methods grounded in other philosophical traditions. Possibilities abound, but here I suggest one possible multifaceted approach combining complexity theory, a humanisticconception of motivation, and a critical perspective.

  2. Developing an M-Learning Application for iOS

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2013-01-01

    Full Text Available The mobile market development has a high impact on all domains including education. Smart mobile devices started to be affordable and the massive use on educational processes does not seem to be too far. Mobile learning applications are be targeted for all major mobile operating systems as native applications or Web-based. The objective of this paper is to present the implementation of the evaluation module for an m-learning application developed for iOS devices. The m-learning application is targeted to a higher education institution. The application uses Web services in order to obtain the content and to authenticate the users.

  3. Intelligent Machine Learning Approaches for Aerospace Applications

    Science.gov (United States)

    Sathyan, Anoop

    Machine Learning is a type of artificial intelligence that provides machines or networks the ability to learn from data without the need to explicitly program them. There are different kinds of machine learning techniques. This thesis discusses the applications of two of these approaches: Genetic Fuzzy Logic and Convolutional Neural Networks (CNN). Fuzzy Logic System (FLS) is a powerful tool that can be used for a wide variety of applications. FLS is a universal approximator that reduces the need for complex mathematics and replaces it with expert knowledge of the system to produce an input-output mapping using If-Then rules. The expert knowledge of a system can help in obtaining the parameters for small-scale FLSs, but for larger networks we will need to use sophisticated approaches that can automatically train the network to meet the design requirements. This is where Genetic Algorithms (GA) and EVE come into the picture. Both GA and EVE can tune the FLS parameters to minimize a cost function that is designed to meet the requirements of the specific problem. EVE is an artificial intelligence developed by Psibernetix that is trained to tune large scale FLSs. The parameters of an FLS can include the membership functions and rulebase of the inherent Fuzzy Inference Systems (FISs). The main issue with using the GFS is that the number of parameters in a FIS increase exponentially with the number of inputs thus making it increasingly harder to tune them. To reduce this issue, the FLSs discussed in this thesis consist of 2-input-1-output FISs in cascade (Chapter 4) or as a layer of parallel FISs (Chapter 7). We have obtained extremely good results using GFS for different applications at a reduced computational cost compared to other algorithms that are commonly used to solve the corresponding problems. In this thesis, GFSs have been designed for controlling an inverted double pendulum, a task allocation problem of clustering targets amongst a set of UAVs, a fire

  4. Applications of Support Vector Machine (SVM) Learning in Cancer Genomics

    OpenAIRE

    HUANG, SHUJUN; CAI, NIANGUANG; PACHECO, PEDRO PENZUTI; NARANDES, SHAVIRA; WANG, YANG; XU, WAYNE

    2017-01-01

    Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the classification feature of SVMs is expanding its use in cancer genomics, leading to the discovery of new biomarkers, new drug targets, and a better ...

  5. Extreme learning machines 2013 algorithms and applications

    CERN Document Server

    Toh, Kar-Ann; Romay, Manuel; Mao, Kezhi

    2014-01-01

    In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability.   This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modelling and control, and signal and image processing, to promote research and discu...

  6. Stand-alone photovoltaic applications. Lessons learned

    International Nuclear Information System (INIS)

    Loois, G.; Van Hemert, B.

    1999-02-01

    The IEA Photovoltaic Power Systems Programme (PVPS) is one of the collaborative R and D agreements established within the IEA. The objective of Task III is to promote and facilitate the exchange of information and experiences in the field of PV Systems in Stand-alone and Island Applications (SAPV). The book focuses on the practical experiences gained, and does not aim to provide a complete manual on SAPV. When Task III started its activities in 1993, a collection of 50 'State of the art' projects was published in the book 'Examples of Stand-Alone Photovoltaic Systems'. This publication marked the base line for the work of the task. Now, in 1998, the showcases from each country demonstrate the lessons learned in five years of cooperation. The book consists of two parts. The first part contains eight chapters dealing with a specific aspect of stand-alone PV. The second part introduces 14 national showcase projects in a systematic presentation. Each chapter and showcase can be read independently from the rest of the book. Chapter 2, contributed by The Netherlands, analyses the market for stand-alone PV systems. It gives an overview of the 'traditional' application of stand-alone PV, which is the electrification of remote buildings and which has been addressed in depth in other publications. The focus is on the market niches of service applications that are also interesting for more densely populated areas, e.g. in industrialised countries. The United Kingdom illustrates the economic aspects in Chapter 3. Cost comparisons are made, but more important is the illustration of the non-financial considerations that make PV the preferred choice as a power source for many applications. Switzerland explores in Chapter 4 (financing aspects) different financing mechanisms, and financial policies used to overcome the initial cost barrier. Most of these approaches have been applied in developing countries rather than in the western world. Using various examples from all over the

  7. Learning Programming Technique through Visual Programming Application as Learning Media with Fuzzy Rating

    Science.gov (United States)

    Buditjahjanto, I. G. P. Asto; Nurlaela, Luthfiyah; Ekohariadi; Riduwan, Mochamad

    2017-01-01

    Programming technique is one of the subjects at Vocational High School in Indonesia. This subject contains theory and application of programming utilizing Visual Programming. Students experience some difficulties to learn textual learning. Therefore, it is necessary to develop media as a tool to transfer learning materials. The objectives of this…

  8. Kernel Methods for Machine Learning with Life Science Applications

    DEFF Research Database (Denmark)

    Abrahamsen, Trine Julie

    Kernel methods refer to a family of widely used nonlinear algorithms for machine learning tasks like classification, regression, and feature extraction. By exploiting the so-called kernel trick straightforward extensions of classical linear algorithms are enabled as long as the data only appear a...

  9. Machine learning in radiation oncology theory and applications

    CERN Document Server

    El Naqa, Issam; Murphy, Martin J

    2015-01-01

    ​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided rad

  10. Investigating the Effectiveness of Computer-Assisted Language Learning (CALL) Using Google Documents in Enhancing Writing--A Study on Senior 1 Students in a Chinese Independent High School

    Science.gov (United States)

    Ambrose, Regina Maria; Palpanathan, Shanthini

    2017-01-01

    Computer-assisted language learning (CALL) has evolved through various stages in both technology as well as the pedagogical use of technology (Warschauer & Healey, 1998). Studies show that the CALL trend has facilitated students in their English language writing with useful tools such as computer based activities and word processing. Students…

  11. Space Operations Learning Center Facebook Application

    Science.gov (United States)

    Lui, Ben; Milner, Barbara; Binebrink, Dan; Kuok, Heng

    2012-01-01

    The proposed Space Operations Learning Center (SOLC) Facebook module, initially code-named Spaceville, is intended to be an educational online game utilizing the latest social networking technology to reach a broad audience base and inspire young audiences to be interested in math, science, and engineering. Spaceville will be a Facebook application/ game with the goal of combining learning with a fun game and social environment. The mission of the game is to build a scientific outpost on the Moon or Mars and expand the colony. Game activities include collecting resources, trading resources, completing simple science experiments, and building architectures such as laboratories, habitats, greenhouses, machine shops, etc. The player is awarded with points and achievement levels. The player s ability increases as his/her points and levels increase. A player can interact with other players using multiplayer Facebook functionality. As a result, a player can discover unexpected treasures through scientific missions, engineering, and working with others. The player creates his/her own avatar with his/her selection of its unique appearance, and names the character. The player controls the avatar to perform activities such as collecting oxygen molecules or building a habitat. From observations of other successful social online games such as Farmville and Restaurant City, a common element of these games is having eye-catching and cartoonish characters, and interesting animations for all activities. This will create a fun, educational, and rewarding environment. The player needs to accumulate points in order to be awarded special items needed for advancing to higher levels. Trophies will be awarded to the player when certain goals are reached or tasks are completed. In order to acquire some special items needed for advancement in the game, the player will need to visit his/her neighboring towns to discover the items. This is the social aspect of the game that requires the

  12. Conformal prediction for reliable machine learning theory, adaptations and applications

    CERN Document Server

    Balasubramanian, Vineeth; Vovk, Vladimir

    2014-01-01

    The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detecti

  13. DESIGN AND DEVELOPMENT OF MOBILE LEARNING APPLICATIONS USING DRUPAL

    Directory of Open Access Journals (Sweden)

    N.M.A.E.D Wirastuti

    2010-07-01

    Full Text Available The growth of the mobile industry is an important aspect in the link of the global village. Another aspect is theInternet. The introduction of VoIP, video conferencing, emailing and TV reviewing also support the communicationbecoming much easier. The Internet becomes a reliable source of information; Users learn more from the Internetthan anywhere else. Therefore, there are many educational institutions publishing their learning material on theInternet. So that e-learning becomes an essential learning method now days. Student can access the learning materialeverywhere, every time. While the mobile industry offers many 3G services, mobile operators still lack of theapplication that allowing users to access learning material while on the move. Mobile learning is an excellentsolution to solve this problem. This will be supported by mobile features improvement, cheaper and faster data rates.This paper gives a simple idea of developing mobile learning where users can access learning material in similarway to blackboard via mobile devices, called blackboard mobile.

  14. Learning in Non-Stationary Environments Methods and Applications

    CERN Document Server

    Lughofer, Edwin

    2012-01-01

    Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences.   Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dyna...

  15. Machine learning for epigenetics and future medical applications

    OpenAIRE

    Holder, Lawrence B.; Haque, M. Muksitul; Skinner, Michael K.

    2017-01-01

    ABSTRACT Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigenetic transgenerational inheritance of disease and novel ML approaches to predict genome-wide locations of critical epimutations. A combination of Active Learning (ACL) and Imbalanced Class Learning (ICL) was used to address past problems w...

  16. Service Learning: Applications and Research in Business

    Science.gov (United States)

    Andrews, Christine P.

    2007-01-01

    Researchers have described "service learning" as an ideal way to integrate experiential education into coursework while meeting community needs and imbuing students with civic responsibility. They have advocated service learning in business as a method to implement course concepts and increase student understanding of the external environment. In…

  17. Using a collaborative Mobile Augmented Reality learning application (CoMARLA) to improve Improve Student Learning

    Science.gov (United States)

    Hanafi, Hafizul Fahri bin; Soh Said, Che; Hanee Ariffin, Asma; Azlan Zainuddin, Nur; Samsuddin, Khairulanuar

    2016-11-01

    This study was carried out to improve student learning in ICT course using a collaborative mobile augmented reality learning application (CoMARLA). This learning application was developed based on the constructivist framework that would engender collaborative learning environment, in which students could learn collaboratively using their mobile phones. The research design was based on the pretest posttest control group design. The dependent variable was students’ learning performance after learning, and the independent variables were learning method and gender. Students’ learning performance before learning was treated as the covariate. The sample of the study comprised 120 non-IT (non-technical) undergraduates, with the mean age of 19.5. They were randomized into two groups, namely the experimental and control group. The experimental group used CoMARLA to learn one of the topics of the ICT Literacy course, namely Computer System; whereas the control group learned using the conventional approach. The research instrument used was a set of multiple-choice questions pertaining to the above topic. Pretesting was carried out before the learning sessions, and posttesting was performed after 6 hours of learning. Using the SPSS, Analysis of Covariance (ANCOVA) was performed on the data. The analysis showed that there were main effects attributed to the learning method and gender. The experimental group outperformed the control group by almost 9%, and male students outstripped their opposite counterparts by as much as 3%. Furthermore, an interaction effect was also observed showing differential performances of male students based on the learning methods, which did not occur among female students. Hence, the tool can be used to help undergraduates learn with greater efficacy when contextualized in an appropriate setting.

  18. Evaluating the Effectiveness of Computer Applications in Developing English Learning

    Science.gov (United States)

    Whitaker, James Todd

    2016-01-01

    I examined the effectiveness of self-directed learning and English learning with computer applications on college students in Bangkok, Thailand, in a control-group experimental-group pretest-posttest design. The hypothesis was tested using a t test: two-sample assuming unequal variances to establish the significance of mean scores between the two…

  19. Editorial: Practical applications of KM systems for organizational learning

    Directory of Open Access Journals (Sweden)

    Murali Raman

    2013-12-01

    Full Text Available Modern-day organizations are subject to continuous change. To remain relevant and competitive, it is imperative that organizations cultivate and foster learning capabilities. This special issue focus on examining practical applications of knowledge management systems in support of organizational learning efforts.

  20. Duolingo: A Mobile Application to Assist Second Language Learning

    Science.gov (United States)

    Nushi, Musa; Eqbali, Mohamad Hosein

    2017-01-01

    Technology is changing the way languages are taught and learned. It has provided teachers with new facilities and approaches to teaching that can stimulate learners' interest while challenging their intellect (Blake, 2013, 2016; Stanley, 2013). As an example, new smartphone applications are being developed that make the task of learning ever more…

  1. Enhancing Children's Outdoor Learning Experiences with a Mobile Application

    Science.gov (United States)

    Rikala, Jenni

    2015-01-01

    This paper examines how a mobile learning application can enhance children's outdoor learning experiences. The study draws upon empirical evidence gathered in one case study conducted in a Finnish primary school setting in the fall of 2012. The data were collected with student and teacher surveys. The case study indicated that the mobile…

  2. ARLearn - Open source mobile application platform for learning

    NARCIS (Netherlands)

    Börner, Dirk; Ternier, Stefaan; Klemke, Roland; Schmitz, Birgit; Kalz, Marco; Tabuenca, Bernardo; Specht, Marcus

    2013-01-01

    Börner, D., Ternier, S., Klemke, R., Schmitz, B., Kalz, M., Tabuenca, B., & Specht, M. (2013). ARLearn - Open source mobile application platform for learning. In D. Hernández-Leo et al. (Eds.), Scaling up Learning for Sustained Impact. Proceedings of the 8th European Conference on Technology

  3. Videogame-Like Applications to Enhance Autonomous Learning

    Science.gov (United States)

    Berns, Anke; Valero-Franco, Concepción

    2013-01-01

    This paper presents the results of an ongoing study which has been carried out with a group of German Foreign Language students at the University of Cadiz since 2012. The purpose of the study was to analyze the impact of videogame-like applications on foreign language learning and their motivational potential to increase learning beyond the…

  4. Beehive: A Software Application for Synchronous Collaborative Learning

    Science.gov (United States)

    Turani, Aiman; Calvo, Rafael A.

    2006-01-01

    Purpose: The purpose of this paper is to describe Beehive, a new web application framework for designing and supporting synchronous collaborative learning. Design/methodology/approach: Our web engineering approach integrates educational design expertise into a technology for building tools for collaborative learning activities. Beehive simplifies…

  5. Digital Communication Applications in the Online Learning Environment

    Science.gov (United States)

    Lambeth, Krista Jill

    2011-01-01

    Scope and method of study. The purpose of this study was for the researcher to obtain a better understanding of the online learning environment, to explore the various ways online class instructors have incorporated digital communication applications to try and provide learner-centered online learning environments, and to examine students'…

  6. Learning Application of Astronomy Based Augmented Reality using Android Platform

    Science.gov (United States)

    Maleke, B.; Paseru, D.; Padang, R.

    2018-02-01

    Astronomy is a branch of science involving observations of celestial bodies such as stars, planets, nebular comets, star clusters, and galaxies as well as natural phenomena occurring outside the Earth’s atmosphere. The way of learning of Astronomy is quite varied, such as by using a book or observe directly with a telescope. But both ways of learning have shortcomings, for example learning through books is only presented in the form of interesting 2D drawings. While learning with a telescope requires a fairly expensive cost to buy the equipment. This study will present a more interesting way of learning from the previous one, namely through Augmented Reality (AR) application using Android platform. Augmented Reality is a combination of virtual world (virtual) and real world (real) made by computer. Virtual objects can be text, animation, 3D models or videos that are combined with the actual environment so that the user feels the virtual object is in his environment. With the use of the Android platform, this application makes the learning method more interesting because it can be used on various Android smartphones so that learning can be done anytime and anywhere. The methodology used in making applications is Multimedia Lifecycle, along with C # language for AR programming and flowchart as a modelling tool. The results of research on some users stated that this application can run well and can be used as an alternative way of learning Astronomy with more interesting.

  7. Learning from the application of the systematic approach to training

    International Nuclear Information System (INIS)

    Haber, S.B.; Yoder, J.A.

    1998-01-01

    The paper describes the objectives, lessons learned, key accomplishments and related activities of the application of the systematic approach to training initiated by DOE in Russia and Ukraine in 1992 focused on single facility in each country

  8. Survey on Multimedia Technologies for Mobile Learning Applications

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2009-01-01

    Full Text Available Mobile technologies are developing very fast. This paper presents a survey on multimedia technologies for mobile learning applications, focusing on multimedia programming techniques for Windows Mobile, Symbian, and Java ME.

  9. Online Learning for Mobile Technology Applications in Health Surveys

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

    Online Learning for Mobile Technology Applications in Health Surveys. In light of ... to develop a globally accessible asynchronous Internet-based training packaged backed by a real-time coaching service. Project ID. 105932. Project status.

  10. mCLEV-R: Design and Evaluation of an Interactive and Collaborative M-Learning Application

    Directory of Open Access Journals (Sweden)

    Teresa Monahan

    2007-06-01

    Full Text Available Continuous enhancements in computer technology and the current widespread computer literacy among the public have resulted in a new generation of students that expect increasingly more from their e-learning experiences. To keep up with such expectations, e-learning systems have gone through a radical change from the initial text-based environments to more stimulating multimedia systems. E-learning functionalities are now also being extended to mobile platforms in order to be more available and convenient for users. Many mobile learning applications have now been developed and they too are becoming more advanced. However, providing truly collaborative and interactive mobile learning tools still remains a challenge. In this paper, we present a desktop e-learning system called CLEV-R and in particular a component of the system that we have developed for mobile devices. This mobile component explores the possibility of providing collaboration tools for mobile learners while also presenting the learning experience through an engaging 3D environment.

  11. Deep Learning and Applications in Computational Biology

    KAUST Repository

    Zeng, Jianyang

    2016-01-01

    In this work, we develop a general and flexible deep learning framework for modeling structural binding preferences and predicting binding sites of RBPs, which takes (predicted) RNA tertiary structural information

  12. Development and application of social learning theory.

    Science.gov (United States)

    Price, V; Archbold, J

    This article traces the development of social learning theory over the last 30 years, relating the developments to clinical nursing practice. Particular attention is focused on the contribution of Albert Bandura, the American psychologist, and his work on modelling.

  13. Learning theories application in nursing education

    OpenAIRE

    Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

    2015-01-01

    Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including socia...

  14. Proposing a Framework for Mobile Applications in Disaster Health Learning.

    Science.gov (United States)

    Liu, Alexander G; Altman, Brian A; Schor, Kenneth; Strauss-Riggs, Kandra; Thomas, Tracy N; Sager, Catherine; Leander-Griffith, Michelle; Harp, Victoria

    2017-08-01

    Mobile applications, or apps, have gained widespread use with the advent of modern smartphone technologies. Previous research has been conducted in the use of mobile devices for learning. However, there is decidedly less research into the use of mobile apps for health learning (eg, patient self-monitoring, medical student learning). This deficiency in research on using apps in a learning context is especially severe in the disaster health field. The objectives of this article were to provide an overview of the current state of disaster health apps being used for learning, to situate the use of apps in a health learning context, and to adapt a learning framework for the use of mobile apps in the disaster health field. A systematic literature review was conducted by using the PRISMA checklist, and peer-reviewed articles found through the PubMed and CINAHL databases were examined. This resulted in 107 nonduplicative articles, which underwent a 3-phase review, culminating in a final selection of 17 articles. While several learning models were identified, none were sufficient as an app learning framework for the field. Therefore, we propose a learning framework to inform the use of mobile apps in disaster health learning. (Disaster Med Public Health Preparedness. 2017;11:487-495).

  15. Machine Learning in Radiology: Applications Beyond Image Interpretation.

    Science.gov (United States)

    Lakhani, Paras; Prater, Adam B; Hutson, R Kent; Andriole, Kathy P; Dreyer, Keith J; Morey, Jose; Prevedello, Luciano M; Clark, Toshi J; Geis, J Raymond; Itri, Jason N; Hawkins, C Matthew

    2018-02-01

    Much attention has been given to machine learning and its perceived impact in radiology, particularly in light of recent success with image classification in international competitions. However, machine learning is likely to impact radiology outside of image interpretation long before a fully functional "machine radiologist" is implemented in practice. Here, we describe an overview of machine learning, its application to radiology and other domains, and many cases of use that do not involve image interpretation. We hope that better understanding of these potential applications will help radiology practices prepare for the future and realize performance improvement and efficiency gains. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  16. The application of learning theory in horse training

    DEFF Research Database (Denmark)

    McLean, Andrew N.; Christensen, Janne Winther

    2017-01-01

    The millennia-old practices of horse training markedly predate and thus were isolated from the mid-twentieth century revelation of animal learning processes. From this standpoint, the progress made in the application and understanding of learning theory in horse training is reviewed including...... on the correct application of learning theory, and safety and welfare benefits for people and horses would follow. Finally it is also proposed that the term ‘conflict theory’ be taken up in equitation science to facilitate diagnosis of training-related behaviour disorders and thus enable the emergence...

  17. Ensemble Learning or Deep Learning? Application to Default Risk Analysis

    Directory of Open Access Journals (Sweden)

    Shigeyuki Hamori

    2018-03-01

    Full Text Available Proper credit-risk management is essential for lending institutions, as substantial losses can be incurred when borrowers default. Consequently, statistical methods that can measure and analyze credit risk objectively are becoming increasingly important. This study analyzes default payment data and compares the prediction accuracy and classification ability of three ensemble-learning methods—specifically, bagging, random forest, and boosting—with those of various neural-network methods, each of which has a different activation function. The results obtained indicate that the classification ability of boosting is superior to other machine-learning methods including neural networks. It is also found that the performance of neural-network models depends on the choice of activation function, the number of middle layers, and the inclusion of dropout.

  18. Application of adobe flash media to optimize jigsaw learning model on geometry material

    Science.gov (United States)

    Imam, P.; Imam, S.; Ikrar, P.

    2018-05-01

    This study aims to determine and describe the effectiveness of the application of adobe flash media for jigsaw learning model on geometry material. In this study, the modified jigsaw learning with adobe flash media is called jigsaw-flash model. This research was conducted in Surakarta. The research method used is mix method research with exploratory sequential strategy. The results of this study indicate that students feel more comfortable and interested in studying geometry material taught by jigsaw-flash model. In addition, students taught using the jigsaw-flash model are more active and motivated than the students who were taught using ordinary jigsaw models. This shows that the use of the jigsaw-flash model can increase student participation and motivation. It can be concluded that the adobe flash media can be used as a solution to reduce the level of student abstraction in learning mathematics.

  19. Investigation of Drive-Reinforcement Learning and Application of Learning to Flight Control

    Science.gov (United States)

    1993-08-01

    WL-TR-93-1153 INVESTIGATION OF DRIVE-REINFORCEMEN% LEARNING AND APPLICATION OF LEARNING TO FLIGHT CONTROL AD-A277 442 WALTER L. BAKER (ED), STEPHEN ...OF LEARNING TO FUIGHT CONTROL PE 62204 ___ ___ ___ ___ __ ___ ___ ___ ___ ___ ___ __ PR 2003 6. AUTHOR(S) TA 05 WALTER L. BAKER (ED), STEPHEN C. ATKINS...34 Computers and Thought, E. A. Freigenbaum and J. Feldman (eds.), Mc- Graw Hill, New York, (1959). [19] Holland, J. H., "Escaping Brittleness: The Possibility

  20. Barriers to calling 911 and learning and performing cardiopulmonary resuscitation for residents of primarily Latino, high-risk neighborhoods in Denver, Colorado.

    Science.gov (United States)

    Sasson, Comilla; Haukoos, Jason S; Ben-Youssef, Leila; Ramirez, Lorenzo; Bull, Sheana; Eigel, Brian; Magid, David J; Padilla, Ricardo

    2015-05-01

    Individuals in neighborhoods composed of minority and lower socioeconomic status populations are more likely to have an out-of-hospital cardiac arrest event, less likely to have bystander cardiopulmonary resuscitation (CPR) performed, and less likely to survive. Latino cardiac arrest victims are 30% less likely than whites to have bystander CPR performed. The goal of this study is to identify barriers and facilitators to calling 911, and learning and performing CPR in 5 low-income, Latino neighborhoods in Denver, CO. Six focus groups and 9 key informant interviews were conducted in Denver during the summer of 2012. Purposeful and snowball sampling, conducted by community liaisons, was used to recruit participants. Two reviewers analyzed the data to identify recurrent and unifying themes. A qualitative content analysis was used with a 5-stage iterative process to analyze each transcript. Six key barriers to calling 911 were identified: fear of becoming involved because of distrust of law enforcement, financial, immigration status, lack of recognition of cardiac arrest event, language, and violence. Seven cultural barriers were identified that may preclude performance of bystander CPR: age, sex, immigration status, language, racism, strangers, and fear of touching someone. Participants suggested that increasing availability of tailored education in Spanish, increasing the number of bilingual 911 dispatchers, and policy-level changes, including CPR as a requirement for graduation and strengthening Good Samaritan laws, may serve as potential facilitators in increasing the provision of bystander CPR. Distrust of law enforcement, language concerns, lack of recognition of cardiac arrest, and financial issues must be addressed when community-based CPR educational programs for Latinos are implemented. Copyright © 2014 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

  1. Application of the Experiential Learning Cycle in Learning from a Business Simulation Game

    Science.gov (United States)

    Ahn, Jung-Hoon

    2008-01-01

    The purpose of this study was to investigate the effects of engaging students in Kolb's experiential learning cycle on facilitating students' simulation game performance and knowledge application skills in learning with a business simulation game. A sample was drawn from a population of business-major undergraduate students at the School of…

  2. Learning plan applicability through active mental entities

    International Nuclear Information System (INIS)

    Baroni, Pietro; Fogli, Daniela; Guida, Giovanni

    1999-01-01

    This paper aims at laying down the foundations of a new approach to learning in autonomous mobile robots. It is based on the assumption that robots can be provided with built-in action plans and with mechanisms to modify and improve such plans. This requires that robots are equipped with some form of high-level reasoning capabilities. Therefore, the proposed learning technique is embedded in a novel distributed control architecture featuring an explicit model of robot's cognitive activity. In particular, cognitive activity is obtained by the interaction of active mental entities, such as intentions, persuasions and expectations. Learning capabilities are implemented starting from the interaction of such mental entities. The proposal is illustrated through an example concerning a robot in charge of reaching a target in an unknown environment cluttered with obstacles

  3. Social Media and Social Networking Applications for Teaching and Learning

    Science.gov (United States)

    Yeo, Michelle Mei Ling

    2014-01-01

    This paper aims to better understand the experiences of the youth and the educators with the tapping of social media like YouTube videos and the social networking application of Facebook for teaching and learning. This paper is interested in appropriating the benefits of leveraging of social media and networking applications like YouTube and…

  4. Virtual Things for Machine Learning Applications

    OpenAIRE

    Bovet , Gérôme; Ridi , Antonio; Hennebert , Jean

    2014-01-01

    International audience; Internet-of-Things (IoT) devices, especially sensors are pro-ducing large quantities of data that can be used for gather-ing knowledge. In this field, machine learning technologies are increasingly used to build versatile data-driven models. In this paper, we present a novel architecture able to ex-ecute machine learning algorithms within the sensor net-work, presenting advantages in terms of privacy and data transfer efficiency. We first argument that some classes of ...

  5. Call Centre- Computer Telephone Integration

    Directory of Open Access Journals (Sweden)

    Dražen Kovačević

    2012-10-01

    Full Text Available Call centre largely came into being as a result of consumerneeds converging with enabling technology- and by the companiesrecognising the revenue opportunities generated by meetingthose needs thereby increasing customer satisfaction. Regardlessof the specific application or activity of a Call centre, customersatisfaction with the interaction is critical to the revenuegenerated or protected by the Call centre. Physical(v, Call centreset up is a place that includes computer, telephone and supervisorstation. Call centre can be available 24 hours a day - whenthe customer wants to make a purchase, needs information, orsimply wishes to register a complaint.

  6. Application of Learning Style in Media Writing.

    Science.gov (United States)

    Cranston, Charles M.

    1992-01-01

    Describes a study that examined whether statistically significant differences existed among performance levels of college students in a beginning media writing class when compared according to cognitive style and learning style subgroups. Results are reported for five mass media formats--broadcast news, television copywriting, documentary,…

  7. DISTANCE LEARNING: POTENTIAL APPLICATION AND DEVELOPMENT OUTLOOK

    Directory of Open Access Journals (Sweden)

    Yulija Mihajlovna Tsarapkina

    2017-11-01

    Full Text Available The article is devoted to the actual problem of distance education potential and prospects research in the Russian education system. According to the UNESCO estimates, if the current trend continues, then the number of people with a firm desire to receive an education would increase from 165 millions to 263 millions [7, 12]. Thus 98 million qualified students worldwide will be excluded from higher education due to a shortage of university seats. The purpose of the study is to analyze the historical and present state of the problem, to identify the potential and prospects of the development in distance learning within higher education. The methodological base of the research has become common methods of pedagogical sciences: pedagogical observation, survey, questionnaire, testing, comparative analysis, pedagogical experiment. The analytical review has shown several problem areas within distance learning, such as student’s motivation while distance course learning and training efficiency as compared to full-time university training. Combination of full-time training and distance learning leads to 31% enhancement of training efficiency and shows a sustainable increase of student’s motivation.

  8. Application of machine learning on brain cancer multiclass classification

    Science.gov (United States)

    Panca, V.; Rustam, Z.

    2017-07-01

    Classification of brain cancer is a problem of multiclass classification. One approach to solve this problem is by first transforming it into several binary problems. The microarray gene expression dataset has the two main characteristics of medical data: extremely many features (genes) and only a few number of samples. The application of machine learning on microarray gene expression dataset mainly consists of two steps: feature selection and classification. In this paper, the features are selected using a method based on support vector machine recursive feature elimination (SVM-RFE) principle which is improved to solve multiclass classification, called multiple multiclass SVM-RFE. Instead of using only the selected features on a single classifier, this method combines the result of multiple classifiers. The features are divided into subsets and SVM-RFE is used on each subset. Then, the selected features on each subset are put on separate classifiers. This method enhances the feature selection ability of each single SVM-RFE. Twin support vector machine (TWSVM) is used as the method of the classifier to reduce computational complexity. While ordinary SVM finds single optimum hyperplane, the main objective Twin SVM is to find two non-parallel optimum hyperplanes. The experiment on the brain cancer microarray gene expression dataset shows this method could classify 71,4% of the overall test data correctly, using 100 and 1000 genes selected from multiple multiclass SVM-RFE feature selection method. Furthermore, the per class results show that this method could classify data of normal and MD class with 100% accuracy.

  9. A SIMULTANEOUS MOBILE E-LEARNING ENVIRONMENT AND APPLICATION

    Directory of Open Access Journals (Sweden)

    Hasan KARAL

    2010-04-01

    Full Text Available The purpose of the present study was to design a mobile learning environment that enables the use of a teleconference application used in simultaneous e-learning with mobile devices and to evaluate this mobile learning environment based on students’ views. With the mobile learning environment developed in the study, the students are able to follow a teleconference application realized by using appropriate mobile devices. The study was carried out with 8 post-graduate students enrolled in Karadeniz Technical University (KTU, Department of Computer Education and Instructional Technologies (CEIT, Graduate School of Natural and Applied Science. The students utilized this teleconference application using mobile devices supporting internet access and Adobe Flash technology. Of the 8 students, 4 accessed the system using EDGE technology and 4 used wireless internet technology. At the end of the application, the audio and display were delayed by 4-5 seconds with EDGE technology, and were delayed by 7-8 seconds with wireless internet technology. Based on the students’ views, it was concluded that the environment had some deficiencies in terms of quality, especially in terms of the screen resolution. Despite this, the students reported that this environment could provide more flexibility in terms of space and time when compared to other simultaneous distance education applications. Although the environment enables interaction, in particular, the problem of resolution caused by screen size is a disadvantage for the system. When this mobile learning application is compared to conventional education environments, it was found that mobile learning does have a role in helping the students overcome the problems of participating in learning activities caused by time and space constraints.

  10. Call Forecasting for Inbound Call Center

    Directory of Open Access Journals (Sweden)

    Peter Vinje

    2009-01-01

    Full Text Available In a scenario of inbound call center customer service, the ability to forecast calls is a key element and advantage. By forecasting the correct number of calls a company can predict staffing needs, meet service level requirements, improve customer satisfaction, and benefit from many other optimizations. This project will show how elementary statistics can be used to predict calls for a specific company, forecast the rate at which calls are increasing/decreasing, and determine if the calls may stop at some point.

  11. Reinforcement Learning Applications to Combat Identification

    Science.gov (United States)

    2017-03-01

    ruleset in an effort to mimic simplistic cognitive decision making of a TAO/MC and establishes parameters for the experimentation. Also, there is an...the process knowledge and decision - making abilities of the human decision maker. “[A] cognitive architecture provides the fixed processes and...have bearing on decisions to affect the learning rate in an operational implementation. 3. Cognitive Functions in CID The translation of the

  12. Application of ICT supported learning in fluid mechanics

    DEFF Research Database (Denmark)

    Brohus, Henrik; Svidt, Kjeld

    2004-01-01

    of tools for knowledge transfer facilitates deep understanding and increases learning efficiency. Air flow is by nature invisible and represents a further challenge in the effort of providing sufficient understanding of typical flow patterns and behaviour of room air flow. An example of visualisation......This paper focuses on the application of ICT, Information & Communication Technology, supported learning in the area of fluid mechanics education. Taking a starting point in a course in Ventilation Technology, including room air flow and contaminant distribution, it explains how ICT may be used...... actively in the learning environment to increase efficiency in the learning process. The paper comprises past experiences and lessons learnt as well as prospect for future development in the area. A model is presented that describes a high efficiency learning environment where ICT plays an important role...

  13. Developing Deep Learning Applications for Life Science and Pharma Industry.

    Science.gov (United States)

    Siegismund, Daniel; Tolkachev, Vasily; Heyse, Stephan; Sick, Beate; Duerr, Oliver; Steigele, Stephan

    2018-06-01

    Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning. A typical example is the automated analysis of images which are typically produced en-masse in many domains, e. g., in high-content screening or digital pathology. Deep learning enables to create competitive applications in so-far defined core domains of 'human intelligence'. Applications of artificial intelligence have been enabled in recent years by (i) the massive availability of data samples, collected in pharma driven drug programs (='big data') as well as (ii) deep learning algorithmic advancements and (iii) increase in compute power. Such applications are based on software frameworks with specific strengths and weaknesses. Here, we introduce typical applications and underlying frameworks for deep learning with a set of practical criteria for developing production ready solutions in life science and pharma research. Based on our own experience in successfully developing deep learning applications we provide suggestions and a baseline for selecting the most suited frameworks for a future-proof and cost-effective development. © Georg Thieme Verlag KG Stuttgart · New York.

  14. Marginal Shape Deep Learning: Applications to Pediatric Lung Field Segmentation.

    Science.gov (United States)

    Mansoor, Awais; Cerrolaza, Juan J; Perez, Geovanny; Biggs, Elijah; Nino, Gustavo; Linguraru, Marius George

    2017-02-11

    Representation learning through deep learning (DL) architecture has shown tremendous potential for identification, localization, and texture classification in various medical imaging modalities. However, DL applications to segmentation of objects especially to deformable objects are rather limited and mostly restricted to pixel classification. In this work, we propose marginal shape deep learning (MaShDL), a framework that extends the application of DL to deformable shape segmentation by using deep classifiers to estimate the shape parameters. MaShDL combines the strength of statistical shape models with the automated feature learning architecture of DL. Unlike the iterative shape parameters estimation approach of classical shape models that often leads to a local minima, the proposed framework is robust to local minima optimization and illumination changes. Furthermore, since the direct application of DL framework to a multi-parameter estimation problem results in a very high complexity, our framework provides an excellent run-time performance solution by independently learning shape parameter classifiers in marginal eigenspaces in the decreasing order of variation. We evaluated MaShDL for segmenting the lung field from 314 normal and abnormal pediatric chest radiographs and obtained a mean Dice similarity coefficient of 0.927 using only the four highest modes of variation (compared to 0.888 with classical ASM 1 (p-value=0.01) using same configuration). To the best of our knowledge this is the first demonstration of using DL framework for parametrized shape learning for the delineation of deformable objects.

  15. COMPUTER ASSISTED LANGUAGE LEARNING (CALL: ITS PROSPECTS AND CONSEQUENCES FOR NIGERIAN LANGUAGES / L'APPRENTISSAGE DE LA LANGUE À L'AIDE DES TICE: PERSPECTIVES ET CONSÉQUENCES POUR LES LANGUES NIGÉRIENNES / ÎNVĂŢAREA LIMBII CU TIC: PERSPECTIVE ŞI CONSECINŢE PENTRU LIMBILE NIGERIENE

    Directory of Open Access Journals (Sweden)

    Oyè Táíwò

    2014-11-01

    Full Text Available The shift in language learning today is from “classical teaching environment” to “self-learning environment”. In Nigeria today, although CALL efforts are made by schools and individuals, these effort are geared towards the English language learning other than Nigerian languages. This paper seeks to explore the development of CALL for Nigerian Languages and the challenges of running CALL in Nigeria. The results indicate that CALL for Nigerian languages is needed and should be promoted. CALL in Nigerian can only be successful if the shortcomings of CALL are recognized and the mitigating circumstances tackled. Adequate arrangements must be made to manage CALL and Teacher-Assisted language learning (TALL in consideration of the socioeconomic impact of CALL on the teachers Nigerian languages. The attitude of Nigerians towards Nigerian languages should be positive. The government, corporate bodies and individuals must intervene in CALL programs in schools so as to control the resulting high tuition fee.

  16. Modern machine learning techniques and their applications in cartoon animation research

    CERN Document Server

    Yu, Jun

    2013-01-01

    The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations

  17. Deep Learning and Applications in Computational Biology

    KAUST Repository

    Zeng, Jianyang

    2016-01-26

    RNA-binding proteins (RBPs) play important roles in the post-transcriptional control of RNAs. Identifying RBP binding sites and characterizing RBP binding preferences are key steps toward understanding the basic mechanisms of the post-transcriptional gene regulation. Though numerous computational methods have been developed for modeling RBP binding preferences, discovering a complete structural representation of the RBP targets by integrating their available structural features in all three dimensions is still a challenging task. In this work, we develop a general and flexible deep learning framework for modeling structural binding preferences and predicting binding sites of RBPs, which takes (predicted) RNA tertiary structural information into account for the first time. Our framework constructs a unified representation that characterizes the structural specificities of RBP targets in all three dimensions, which can be further used to predict novel candidate binding sites and discover potential binding motifs. Through testing on the real CLIP-seq datasets, we have demonstrated that our deep learning framework can automatically extract effective hidden structural features from the encoded raw sequence and structural profiles, and predict accurate RBP binding sites. In addition, we have conducted the first study to show that integrating the additional RNA tertiary structural features can improve the model performance in predicting RBP binding sites, especially for the polypyrimidine tract-binding protein (PTB), which also provides a new evidence to support the view that RBPs may own specific tertiary structural binding preferences. In particular, the tests on the internal ribosome entry site (IRES) segments yield satisfiable results with experimental support from the literature and further demonstrate the necessity of incorporating RNA tertiary structural information into the prediction model. The source code of our approach can be found in https://github.com/thucombio/deepnet-rbp.

  18. Investigating CALL in the Classroom: Situational Variables to Consider

    Directory of Open Access Journals (Sweden)

    Darlene Liutkus

    2012-01-01

    Full Text Available A new paradigm in second language pedagogy has Computer Assisted Language Learning (CALL playing a significant role. Much of the literature to-date claims that CALL can have a positive impact on students’ second language acquisition (SLA. Mixed method of research produces data to investigate if CALL positively affects student language proficiency, motivation and autonomy. Classroom observation of participants in their natural environment is a qualitative technique used but has situational variables that could skew results if not structured. A questionnaire is a quantitative tool that can offer insight regarding participants’ perception of performance but can contradict what the researcher has observed. This paper will take an in-depth look at variables such as: instructor’s pedagogical application; blending CALL into the curriculum; types of CALL implemented; feedback received and their implications for design of the data collection tools

  19. An Island Called Cuba

    Directory of Open Access Journals (Sweden)

    Jean Stubbs

    2011-06-01

    Full Text Available Review of: An Island Called Home: Returning to Jewish Cuba. Ruth Behar, photographs by Humberto Mayol. New Brunswick NJ: Rutgers University Press, 2007. xiii + 297 pp. (Cloth US$ 29.95 Fidel Castro: My Life: A Spoken Autobiography. Fidel Castro & Ignacio Ramonet. New York: Scribner/Simon & Schuster, 2008. vii + 724 pp. (Paper US$ 22.00, e-book US$ 14.99 Cuba: What Everyone Needs to Know. Julia E. Sweig. New York: Oxford University Press, 2009. xiv + 279 pp. (Paper US$ 16.95 [First paragraph] These three ostensibly very different books tell a compelling story of each author’s approach, as much as the subject matter itself. Fidel Castro: My Life: A Spoken Autobiography is based on a series of long interviews granted by the then-president of Cuba, Fidel Castro, to Spanish-Franco journalist Ignacio Ramonet. Cuba: What Everyone Needs to Know, by U.S. political analyst Julia Sweig, is one of a set country series, and, like Ramonet’s, presented in question/answer format. An Island Called Home: Returning to Jewish Cuba, with a narrative by Cuban-American anthropologist Ruth Behar and photographs by Cuban photographer Humberto Mayol, is a retrospective/introspective account of the Jewish presence in Cuba. While from Ramonet and Sweig we learn much about the revolutionary project, Behar and Mayol convey the lived experience of the small Jewish community against that backdrop.

  20. Students’ Readiness for E-learning Application in Higher Education

    Directory of Open Access Journals (Sweden)

    Atousa Rasouli

    2016-07-01

    Full Text Available The main goal of this research was to investigate the readiness of art students in applying e-learning. This study adopted a survey research design. From three public Iranian Universities (Alzahra, Tarbiat Modares, and Tehran, 347 students were selected by multistage cluster sampling and via Morgan Table. Their readiness for E-learning application was assessed by a self-developed questionnaire. Data analysis was done by indexes of descriptive statistics and one sample t-test. Analysis of results found a significant relationship between the readiness of undergraduate students, graduate students, and post-graduate students to apply E-learning, but there was no significant relationship between students’ readiness and gender, university, and subject. Results revealed that Art students were in a moderate level of readiness for applying E-learning.

  1. Machine learning in manufacturing: advantages, challenges, and applications

    Directory of Open Access Journals (Sweden)

    Thorsten Wuest

    2016-01-01

    Full Text Available The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means available. One area, which saw fast pace developments in terms of not only promising results but also usability, is machine learning. Promising an answer to many of the old and new challenges of manufacturing, machine learning is widely discussed by researchers and practitioners alike. However, the field is very broad and even confusing which presents a challenge and a barrier hindering wide application. Here, this paper contributes in presenting an overview of available machine learning techniques and structuring this rather complicated area. A special focus is laid on the potential benefit, and examples of successful applications in a manufacturing environment.

  2. A Foreign Language Learning Application using Mobile Augmented Reality

    Directory of Open Access Journals (Sweden)

    Florentin-Alexandru DITA

    2016-01-01

    Full Text Available In this paper is described a foreign language learning application using mobile augmented reality based on gamification method and text recognition. The mobile augmented reality is a technology that extends the real world elements with 2D or 3D computer generated objects and lets the users interact with them. A Gamification system is based on different mechanisms that increase the motivation of students, due to the impact that videogames have in their emotional, cognitive and social areas. The proposed solution applies Optical Character Recognition technique, using the camera of the mobile device, in order to identify the text written on a card. The implementation combines the features of gamification system and mobile augmented reality in order to make the learning process more easy and fun. This paper aims to present the results after testing the foreign language learning application in different scenarios.

  3. Pharmacy Students Perception of the Application of Learning ...

    African Journals Online (AJOL)

    Objective: To evaluate pharmacy students' perception of the application of learning management system (LMS) in their education in a Doctor of Pharmacy program in Benin City. Method: In a special ICT class, 165 pharmacy students were introduced to LMS using an open source program, DoceboÓ after which a ...

  4. Metabolic interrelationships software application: Interactive learning tool for intermediary metabolism

    NARCIS (Netherlands)

    A.J.M. Verhoeven (Adrie); M. Doets (Mathijs); J.M.J. Lamers (Jos); J.F. Koster (Johan)

    2005-01-01

    textabstractWe developed and implemented the software application titled Metabolic Interrelationships as a self-learning and -teaching tool for intermediary metabolism. It is used by undergraduate medical students in an integrated organ systems-based and disease-oriented core curriculum, which

  5. ICT Application and Utilization for Distance and Open Learning ...

    African Journals Online (AJOL)

    This study examined the extent of ICT application and utilization for distance and open learning education at the National Open University of Nigeria (NOUN). The descriptive survey research method was adopted for the study while questionnaire was adopted as major instrument of data collection. A total of 113 copie/s of ...

  6. Do Multimedia Applications Benefit Learning-Disabled Children?

    Science.gov (United States)

    Raja, B. William Dharma; Kumar, S. Praveen

    2010-01-01

    This paper focusses on the need and benefit of using multimedia applications to cater to the needs of children with learning disabilities. The children with special educational needs found in various schools may face difficulties in acquiring academic skills such as reading, spelling, writing, speaking, understanding, listening, thinking or…

  7. Applications of machine learning in cancer prediction and prognosis.

    Science.gov (United States)

    Cruz, Joseph A; Wishart, David S

    2007-02-11

    Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to "learn" from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic measurements. As a result, machine learning is frequently used in cancer diagnosis and detection. More recently machine learning has been applied to cancer prognosis and prediction. This latter approach is particularly interesting as it is part of a growing trend towards personalized, predictive medicine. In assembling this review we conducted a broad survey of the different types of machine learning methods being used, the types of data being integrated and the performance of these methods in cancer prediction and prognosis. A number of trends are noted, including a growing dependence on protein biomarkers and microarray data, a strong bias towards applications in prostate and breast cancer, and a heavy reliance on "older" technologies such artificial neural networks (ANNs) instead of more recently developed or more easily interpretable machine learning methods. A number of published studies also appear to lack an appropriate level of validation or testing. Among the better designed and validated studies it is clear that machine learning methods can be used to substantially (15-25%) improve the accuracy of predicting cancer susceptibility, recurrence and mortality. At a more fundamental level, it is also evident that machine learning is also helping to improve our basic understanding of cancer development and progression.

  8. Application of heuristic and machine-learning approach to engine model calibration

    Science.gov (United States)

    Cheng, Jie; Ryu, Kwang R.; Newman, C. E.; Davis, George C.

    1993-03-01

    Automation of engine model calibration procedures is a very challenging task because (1) the calibration process searches for a goal state in a huge, continuous state space, (2) calibration is often a lengthy and frustrating task because of complicated mutual interference among the target parameters, and (3) the calibration problem is heuristic by nature, and often heuristic knowledge for constraining a search cannot be easily acquired from domain experts. A combined heuristic and machine learning approach has, therefore, been adopted to improve the efficiency of model calibration. We developed an intelligent calibration program called ICALIB. It has been used on a daily basis for engine model applications, and has reduced the time required for model calibrations from many hours to a few minutes on average. In this paper, we describe the heuristic control strategies employed in ICALIB such as a hill-climbing search based on a state distance estimation function, incremental problem solution refinement by using a dynamic tolerance window, and calibration target parameter ordering for guiding the search. In addition, we present the application of a machine learning program called GID3* for automatic acquisition of heuristic rules for ordering target parameters.

  9. An Evaluation Framework for CALL

    Science.gov (United States)

    McMurry, Benjamin L.; Williams, David Dwayne; Rich, Peter J.; Hartshorn, K. James

    2016-01-01

    Searching prestigious Computer-assisted Language Learning (CALL) journals for references to key publications and authors in the field of evaluation yields a short list. The "American Journal of Evaluation"--the flagship journal of the American Evaluation Association--is only cited once in both the "CALICO Journal and Language…

  10. Indico CONFERENCE: Define the Call for Abstracts

    CERN Multimedia

    CERN. Geneva; Ferreira, Pedro

    2017-01-01

    In this tutorial, you will learn how to define and open a call for abstracts. When defining a call for abstracts, you will be able to define settings related to the type of questions asked during a review of an abstract, select the users who will review the abstracts, decide when to open the call for abstracts, and more.

  11. Machine learning for epigenetics and future medical applications.

    Science.gov (United States)

    Holder, Lawrence B; Haque, M Muksitul; Skinner, Michael K

    2017-07-03

    Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigenetic transgenerational inheritance of disease and novel ML approaches to predict genome-wide locations of critical epimutations. A combination of Active Learning (ACL) and Imbalanced Class Learning (ICL) was used to address past problems with ML to develop a more efficient feature selection process and address the imbalance problem in all genomic data sets. The power of this novel ML approach and our ability to predict epigenetic phenomena and associated disease is suggested. The current approach requires extensive computation of features over the genome. A promising new approach is to introduce Deep Learning (DL) for the generation and simultaneous computation of novel genomic features tuned to the classification task. This approach can be used with any genomic or biological data set applied to medicine. The application of molecular epigenetic data in advanced machine learning analysis to medicine is the focus of this review.

  12. Applications of Machine Learning in Cancer Prediction and Prognosis

    Directory of Open Access Journals (Sweden)

    Joseph A. Cruz

    2006-01-01

    Full Text Available Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic measurements. As a result, machine learning is frequently used in cancer diagnosis and detection. More recently machine learning has been applied to cancer prognosis and prediction. This latter approach is particularly interesting as it is part of a growing trend towards personalized, predictive medicine. In assembling this review we conducted a broad survey of the different types of machine learning methods being used, the types of data being integrated and the performance of these methods in cancer prediction and prognosis. A number of trends are noted, including a growing dependence on protein biomarkers and microarray data, a strong bias towards applications in prostate and breast cancer, and a heavy reliance on “older” technologies such artificial neural networks (ANNs instead of more recently developed or more easily interpretable machine learning methods. A number of published studies also appear to lack an appropriate level of validation or testing. Among the better designed and validated studies it is clear that machine learning methods can be used to substantially (15-25% improve the accuracy of predicting cancer susceptibility, recurrence and mortality. At a more fundamental level, it is also evident that machine learning is also helping to improve our basic understanding of cancer development and progression.

  13. Self-enhancement learning: target-creating learning and its application to self-organizing maps.

    Science.gov (United States)

    Kamimura, Ryotaro

    2011-05-01

    In this article, we propose a new learning method called "self-enhancement learning." In this method, targets for learning are not given from the outside, but they can be spontaneously created within a neural network. To realize the method, we consider a neural network with two different states, namely, an enhanced and a relaxed state. The enhanced state is one in which the network responds very selectively to input patterns, while in the relaxed state, the network responds almost equally to input patterns. The gap between the two states can be reduced by minimizing the Kullback-Leibler divergence between the two states with free energy. To demonstrate the effectiveness of this method, we applied self-enhancement learning to the self-organizing maps, or SOM, in which lateral interactions were added to an enhanced state. We applied the method to the well-known Iris, wine, housing and cancer machine learning database problems. In addition, we applied the method to real-life data, a student survey. Experimental results showed that the U-matrices obtained were similar to those produced by the conventional SOM. Class boundaries were made clearer in the housing and cancer data. For all the data, except for the cancer data, better performance could be obtained in terms of quantitative and topological errors. In addition, we could see that the trustworthiness and continuity, referring to the quality of neighborhood preservation, could be improved by the self-enhancement learning. Finally, we used modern dimensionality reduction methods and compared their results with those obtained by the self-enhancement learning. The results obtained by the self-enhancement were not superior to but comparable with those obtained by the modern dimensionality reduction methods.

  14. Learning theories 101: application to everyday teaching and scholarship.

    Science.gov (United States)

    Kay, Denise; Kibble, Jonathan

    2016-03-01

    Shifts in educational research, in how scholarship in higher education is defined, and in how funding is appropriated suggest that educators within basic science fields can benefit from increased understanding of learning theory and how it applies to classroom practice. This article uses a mock curriculum design scenario as a framework for the introduction of five major learning theories. Foundational constructs and principles from each theory and how they apply to the proposed curriculum designs are described. A summative table that includes basic principles, constructs, and classroom applications as well as the role of the teacher and learner is also provided for each theory. Copyright © 2016 The American Physiological Society.

  15. The application of learning theory in horse training

    DEFF Research Database (Denmark)

    McLean, Andrew N.; Christensen, Janne Winther

    2017-01-01

    additional techniques (approach conditioning and stimulus blending). The salience of different types of cues, the interaction of operant and classical conditioning and the impact of stress are also discussed. This paper also exposes the inflexibility and occasional inadequacy of the terminology of learning...... on the correct application of learning theory, and safety and welfare benefits for people and horses would follow. Finally it is also proposed that the term ‘conflict theory’ be taken up in equitation science to facilitate diagnosis of training-related behaviour disorders and thus enable the emergence...

  16. Deep Learning and its Applications in the Natural Sciences

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    Starting from a brief historical perspective on scientific discovery, this talk will review some of the theory and open problems of deep learning and describe how to design efficient feedforward and recursive deep learning architectures for applications in the natural sciences. In particular, the focus will be on multiple particle problems at different scales: in biology (e.g. prediction of protein structures), chemistry (e.g. prediction of molecular properties and reactions), and high-energy physics (e.g. detection of exotic particles, jet substructure and tagging, "dark matter and dark knowledge")

  17. Going on Safari: The Design and Development of an Early Years Literacy iPad Application to Support Letter-Sound Learning

    Science.gov (United States)

    McKenzie, Sophie; Spence, Aaron; Nicholas, Maria

    2018-01-01

    This paper explores the design, development and evaluation of an early childhood literacy iPad application, focusing on the English Alphabet, called "A to Z Safari" trialled in Australian classrooms. A to Z Safari was designed to assist students in the early years of schooling with learning the alphabet and building on their knowledge of…

  18. Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering

    Directory of Open Access Journals (Sweden)

    Xu Chen

    2018-01-01

    Full Text Available Teaching-learning-based optimization (TLBO is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the past few years. In the basic TLBO and most of its variants, all the learners have the same probability of getting knowledge from others. However, in the real world, learners are different, and each learner’s learning enthusiasm is not the same, resulting in different probabilities of acquiring knowledge. Motivated by this phenomenon, this study introduces a learning enthusiasm mechanism into the basic TLBO and proposes a learning enthusiasm based TLBO (LebTLBO. In the LebTLBO, learners with good grades have high learning enthusiasm, and they have large probabilities of acquiring knowledge from others; by contrast, learners with bad grades have low learning enthusiasm, and they have relative small probabilities of acquiring knowledge from others. In addition, a poor student tutoring phase is introduced to improve the quality of the poor learners. The proposed method is evaluated on the CEC2014 benchmark functions, and the computational results demonstrate that it offers promising results compared with other efficient TLBO and non-TLBO algorithms. Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.

  19. The influence of affordances on user preferences for multimedia language learning applications

    OpenAIRE

    Uther, M; Banks, AP

    2016-01-01

    This study investigates the influence of sensory and cognitive affordances on the user experience of mobile devices for multimedia language learning applications. A primarily audio-based language learning application – ‘Vowel Trainer’, was chosen against a comparison, text and picture-based language learning application – ‘Learn English for Taxi Drivers’. Impressions of the two applications were assessed on two different devices that have virtually the same interface and identical sound outpu...

  20. e-Learning applications for radiological protection training

    International Nuclear Information System (INIS)

    Gonzalez, F.; Gomez-Arguello, B.; Callejo, J. L.

    2003-01-01

    The unattended training, through e-learning platforms, offers advantages in comparison with the traditional attended training, such as, freedom to study when, where and how the trance desires, the student is learning customization, a continuous self evaluation of the learning process and the rhythm of study, etc. To explore the possibilities of the radiological protection training in a WEB site, a first application for External Workers has been developed. The high number of students, their geographical dispersion and their different level of knowledge and experience arise attended training limitations in this area. In this article, the WEB course Basic Radiological Protection is presented and the results, preliminarily conclusions and lesson learnt are analysed. (Author) 7 refs

  1. Kin Signatures Learned in the Egg? Red-Backed Fairy-Wren Songs Are Similar to Their Mother's In-Nest Calls and Songs

    OpenAIRE

    Dowling, Jenélle L.; Colombelli-Négrel, Diane; Webster, Michael S.

    2016-01-01

    Many vocal animals recognize kin using vocal cues, in territorial contexts and in rearing young, but little is known about the developmental and evolutionary mechanisms that produce vocal kin recognition systems. In the cooperatively breeding red-backed fairy-wren (Malurus melanocephalus), females give specific “in-nest calls” while incubating their eggs. Elements from these calls are incorporated into chicks' begging calls, and appear to be used by parents for recognition. This is likely a r...

  2. Science Teachers' Views and Stereotypes of Religion, Scientists and Scientific Research: A Call for Scientist-Science Teacher Partnerships to Promote Inquiry-Based Learning

    Science.gov (United States)

    Mansour, Nasser

    2015-01-01

    Despite a growing consensus regarding the value of inquiry-based learning (IBL) for students' learning and engagement in the science classroom, the implementation of such practices continues to be a challenge. If science teachers are to use IBL to develop students' inquiry practices and encourage them to think and act as scientists, a better…

  3. RAPPORT-BUILDING THROUGH CALL IN TEACHING CHINESE AS A FOREIGN LANGUAGE: AN EXPLORATORY STUDY

    Directory of Open Access Journals (Sweden)

    Wenying Jiang

    2005-05-01

    Full Text Available Technological advances have brought about the ever-increasing utilisation of computer-assisted language learning (CALL media in the learning of a second language (L2. Computer-mediated communication, for example, provides a practical means for extending the learning of spoken language, a challenging process in tonal languages such as Chinese, beyond the realms of the classroom. In order to effectively improve spoken language competency, however, CALL applications must also reproduce the social interaction that lies at the heart of language learning and language use. This study draws on data obtained from the utilisation of CALL in the learning of L2 Chinese to explore whether this medium can be used to extend opportunities for rapport-building in language teaching beyond the face-to-face interaction of the classroom. Rapport's importance lies in its potential to enhance learning, motivate learners, and reduce learner anxiety. To date, CALL's potential in relation to this facet of social interaction remains a neglected area of research. The results of this exploratory study suggest that CALL may help foster learner-teacher rapport and that scaffolding, such as strategically composing rapport-fostering questions in sound-files, is conducive to this outcome. The study provides an instruction model for this application of CALL.

  4. Machine learning application in online lending risk prediction

    OpenAIRE

    Yu, Xiaojiao

    2017-01-01

    Online leading has disrupted the traditional consumer banking sector with more effective loan processing. Risk prediction and monitoring is critical for the success of the business model. Traditional credit score models fall short in applying big data technology in building risk model. In this manuscript, data with various format and size were collected from public website, third-parties and assembled with client's loan application information data. Ensemble machine learning models, random fo...

  5. Applications of Adaptive Learning Controller to Synthetic Aperture Radar.

    Science.gov (United States)

    1985-02-01

    TERMS (Continue on retuerse if necessary and identify by block num ber) FIELD YGROUP SUB. GR. Adaptive control, aritificial intelligence , synthetic aetr1...application of Artificial Intelligence methods to Synthetic Aperture Radars (SARs) is investigated. It was shown that the neuron-like Adaptive Learning...wavelength Al SE!RI M RADAR DIVISION REFERENCES 1. Barto, A.G. and R.S. Sutton, Goal Seeking Components for Adaptive Intelligence : An Initial Assessment

  6. Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates' Learning

    OpenAIRE

    Hanafi, Hafizul Fahri; Samsudin, Khairulanuar

    2012-01-01

    Of late, mobile technology has introduced new, novel environment that can be capitalized to further enrich the teaching and learning process in classrooms. Taking cognizance of this promising setting, a study was undertaken to investigate the impact of such an environment enabled by android platform on the learning process among undergraduates of Sultan Idris Education University, Malaysia; in particular, this paper discusses critical aspects of the design and implementation of the android le...

  7. Comparison the Application of PBL (Project Based Learning and PBL (Problem Based Learning Learning Model on Online Marketing Subjects

    Directory of Open Access Journals (Sweden)

    Agnes Dini Mardani

    2017-09-01

    Full Text Available Purpose of this study are (1 the application of learning PjBL with PBL to improve study results students, (2 assessing the domain affective, cognitive, and psychomotor, (3 the difference study results use the PjBL with PBL to improve study results students. The research is research quantitative and including research apparent experiment (quasi eksperiment by taking sample class two classes X PM 1 as a class experiment and class X PM 2 as a class control. Research instruments used for data collection namely: (1 tests to pretes and postest used to determine the cognitive assessment, (2 sheets observation affective, (3 sheets of the process for the psychomotor. The trial research instruments use the validity and reabilitas. Analysis techniques data using: (1 test a prerequisite analysis consisting of normality test and the homogeneity (2 T test unpaired which ended with the help of computer programs spss. Based on the result of this research can be concluded that: (1 the application of PjBL (Project Based Learning and PBL (Problem Based Learning should be conducted well in accordance syntax learning, (2 assessing the cognitive students have a difference and class experiment having an average higher than class control, (3 assessing the results affective students have a difference and on the application of PjBL is better than PBL.

  8. A scrutiny of the educational value of EFL mobile learning applications

    Directory of Open Access Journals (Sweden)

    Cristina Calle Martínez

    2014-08-01

    Full Text Available Mobile learning is without any doubt the next step in the evolution of educational technology as it offers modern methods of support to the process of learning through the use of mobile instruments. However, although there are a huge number of educational applications in the market at the moment, the educational value of many of them is rather questionable. The final aim of the SO-CALL-ME ((Social Ontology-based Cognitively Augmented Language Learning Mobile Environment (FFI 2011-29829 research project is to design and create EFL mobile applications that successfully combine technical skills and a solid pedagogy. In this light, the present study is the third phase of a line of research which started in 2012. In the first phase 67 MALL applications in the context of EFL were assessed by means of a rubric not on their technical features but on their pedagogic goals. The results gave us an idea of the qualities and limitations of the apps examined. In the second phase, a quality guide was created as the basis for a more elaborate evaluation rubric. Out of the EFL apps previously analyzed with the first rubric, we chose four that fulfilled the features considered most important for the apps to be developed in a final stage of the research project. In the third phase, a rubric was used to evaluate the linguistic adequacy of EFL apps for listening. The present study offers the evaluation of a higher number of apps using the rubrics created in phases 2 and 3 in order to corroborate the first impressions as a final step before using the quality guide for the creation of EFL applications.

  9. Project Management Methodology for the Development of M-Learning Web Based Applications

    Directory of Open Access Journals (Sweden)

    Adrian VISOIU

    2010-01-01

    Full Text Available M-learning web based applications are a particular case of web applications designed to be operated from mobile devices. Also, their purpose is to implement learning aspects. Project management of such applications takes into account the identified peculiarities. M-learning web based application characteristics are identified. M-learning functionality covers the needs of an educational process. Development is described taking into account the mobile web and its influences over the analysis, design, construction and testing phases. Activities building up a work breakdown structure for development of m-learning web based applications are presented. Project monitoring and control techniques are proposed. Resources required for projects are discussed.

  10. Learning with Admixture: Modeling, Optimization, and Applications in Population Genetics

    DEFF Research Database (Denmark)

    Cheng, Jade Yu

    2016-01-01

    the foundation for both CoalHMM and Ohana. Optimization modeling has been the main theme throughout my PhD, and it will continue to shape my work for the years to come. The algorithms and software I developed to study historical admixture and population evolution fall into a larger family of machine learning...... geneticists strive to establish working solutions to extract information from massive volumes of biological data. The steep increase in the quantity and quality of genomic data during the past decades provides a unique opportunity but also calls for new and improved algorithms and software to cope...... including population splits, effective population sizes, gene flow, etc. Since joining the CoalHMM development team in 2014, I have mainly contributed in two directions: 1) improving optimizations through heuristic-based evolutionary algorithms and 2) modeling of historical admixture events. Ohana, meaning...

  11. APPLICABILITY OF COOPERATIVE LEARNING TECHNIQUES IN DIFFERENT CLASSROOM CONTEXTS

    Directory of Open Access Journals (Sweden)

    Dr. Issy Yuliasri

    2017-04-01

    Full Text Available This paper is based on the results of pre-test post-test, feedback questionnaire and observation during a community service program entitled ―Training on English Teaching using Cooperative Learning Techniques for Elementary and Junior High School Teachers of Sekolah Alam Arridho Semarang‖. It was an English teaching training program intended to equip the teachers with the knowledge and skills of using the different cooperative learning techniques such as jigsaw, think-pair-share, three-step interview, roundrobin braistorming, three-minute review, numbered heads together, team-pair-solo, circle the sage, dan partners. This program was participated by 8 teachers of different subjects (not only English, but most of them had good mastery of English. The objectives of this program was to improve teachers‘ skills in using the different cooperative learning techniques to vary their teaching, so that students would be more motivated to learn and improve their English skill. Besides, the training also gave the teachers the knowledge and skills to adjust their techniques with the basic competence and learning objectives to be achieved as well as with the teaching materials to be used. This was also done through workshops using cooperative learning techniques, so that the participants had real experiences of using cooperative learning techniques (learning by doing. The participants were also encouraged to explore the applicability of the techniques in their classroom contexts, in different areas of their teaching. This community service program showed very positive results. The pre-test and post-test results showed that before the training program all the participants did not know the nine cooperative techniques to be trained, but after the program they mastered the techniques as shown from the teaching-learning scenarios they developed following the test instructions. In addition, the anonymous questionnaires showed that all the participants

  12. Utilizing the Quantile Regression to Explore the Determinants on the Application of E-Learning

    OpenAIRE

    Quang Linh Huynh; Thuy Lan Le Thi

    2014-01-01

    In this research, the quantile regression is applied to investigate the affecting factors associated with the application of e-learning. The findings provide a comprehensive picture about the relationships between the application of e-learning and its determinants. It sheds light on these complicated relationships that, at the different quantiles of the conditional distribution of e-learning adopting levels, the influence of the determinants on the application of e-learning is different. More...

  13. Deep learning guided stroke management: a review of clinical applications.

    Science.gov (United States)

    Feng, Rui; Badgeley, Marcus; Mocco, J; Oermann, Eric K

    2018-04-01

    Stroke is a leading cause of long-term disability, and outcome is directly related to timely intervention. Not all patients benefit from rapid intervention, however. Thus a significant amount of attention has been paid to using neuroimaging to assess potential benefit by identifying areas of ischemia that have not yet experienced cellular death. The perfusion-diffusion mismatch, is used as a simple metric for potential benefit with timely intervention, yet penumbral patterns provide an inaccurate predictor of clinical outcome. Machine learning research in the form of deep learning (artificial intelligence) techniques using deep neural networks (DNNs) excel at working with complex inputs. The key areas where deep learning may be imminently applied to stroke management are image segmentation, automated featurization (radiomics), and multimodal prognostication. The application of convolutional neural networks, the family of DNN architectures designed to work with images, to stroke imaging data is a perfect match between a mature deep learning technique and a data type that is naturally suited to benefit from deep learning's strengths. These powerful tools have opened up exciting opportunities for data-driven stroke management for acute intervention and for guiding prognosis. Deep learning techniques are useful for the speed and power of results they can deliver and will become an increasingly standard tool in the modern stroke specialist's arsenal for delivering personalized medicine to patients with ischemic stroke. © 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.

  14. Application of Machine Learning to Rotorcraft Health Monitoring

    Science.gov (United States)

    Cody, Tyler; Dempsey, Paula J.

    2017-01-01

    Machine learning is a powerful tool for data exploration and model building with large data sets. This project aimed to use machine learning techniques to explore the inherent structure of data from rotorcraft gear tests, relationships between features and damage states, and to build a system for predicting gear health for future rotorcraft transmission applications. Classical machine learning techniques are difficult, if not irresponsible to apply to time series data because many make the assumption of independence between samples. To overcome this, Hidden Markov Models were used to create a binary classifier for identifying scuffing transitions and Recurrent Neural Networks were used to leverage long distance relationships in predicting discrete damage states. When combined in a workflow, where the binary classifier acted as a filter for the fatigue monitor, the system was able to demonstrate accuracy in damage state prediction and scuffing identification. The time dependent nature of the data restricted data exploration to collecting and analyzing data from the model selection process. The limited amount of available data was unable to give useful information, and the division of training and testing sets tended to heavily influence the scores of the models across combinations of features and hyper-parameters. This work built a framework for tracking scuffing and fatigue on streaming data and demonstrates that machine learning has much to offer rotorcraft health monitoring by using Bayesian learning and deep learning methods to capture the time dependent nature of the data. Suggested future work is to implement the framework developed in this project using a larger variety of data sets to test the generalization capabilities of the models and allow for data exploration.

  15. Application of Technology in Project-Based Distance Learning

    Directory of Open Access Journals (Sweden)

    Ali Mehrabian

    2008-06-01

    Full Text Available Present technology and the accessibility of internet have made distance learning easier, more efficient, and more convenient for students. This technology allows instructors and students to communicate asynchronously, at times and locations of their own choosing, by exchanging printed or electronic information. The use of project-based approach is being recognized in the literature as a potential component of courses in the faculties of engineering, science, and technology. Instructors may have to restructure their course differently to accommodate and facilitate the effectiveness of distance learning. A project-based engineering course, traditionally taught in a classroom settings using live mode at the College of Engineering and Computer Sciences at the University of Central Florida (UCF has been transformed to a distance course taught using distance modes. In this case, pedagogical transitions and adjustments are required, in particular for obtaining an optimal balance between the course material and the project work. Project collaboration in groups requires communication, which is possible with extensive utilization of new information and communication technology, such as virtual meetings. This paper discusses the course transition from live to distance modes and touches on some issues as they relate to the effectiveness of this methodology and the lessons learned from its application within different context. More specifically, this discussion includes the benefit of implementing project-based work in the domain of the distance learning courses.

  16. Application of Learning Theories on Medical Imaging Education

    Directory of Open Access Journals (Sweden)

    Osama A. Mabrouk Kheiralla

    2018-05-01

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

  17. A Proposed Pedagogical Mobile Application for Learning Sign Language

    Directory of Open Access Journals (Sweden)

    Samir Abou El-Seoud

    2013-01-01

    Full Text Available A handheld device system, such as cellular phone or a PDA, can be used in acquiring Sign Language (SL. The developed system uses graphic applications. The user uses the graphical system to view and to acquire knowledge about sign grammar and syntax based on the local vernacular particular to the country. This paper explores and exploits the possibility of the development of a mobile system to help the deaf and other people to communicate and learn using handheld devices. The pedagogical assessment of the prototype application that uses a recognition-based interface e.g., images and videos, gave evidence that the mobile application is memorable and learnable. Additionally, considering primary and recency effects in the interface design will improve memorability and learnability.

  18. Teaching learning based optimization algorithm and its engineering applications

    CERN Document Server

    Rao, R Venkata

    2016-01-01

    Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.

  19. Application-Driven Educational Game to Assist Young Children in Learning English Vocabulary

    Science.gov (United States)

    Chen, Zhi-Hong; Lee, Shu-Yu

    2018-01-01

    This paper describes the development of an educational game, named My-Pet-Shop, to enhance young children's learning of English vocabulary. The educational game is underpinned by an application-driven model, which consists of three components: application scenario, subject learning, and learning regulation. An empirical study is further conducted…

  20. User Acceptance of Mobile Technology: A Campus-Wide Implementation of Blackboard's Mobile™ Learn Application

    Science.gov (United States)

    Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin

    2013-01-01

    Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…

  1. Machine Learning-Empowered Biometric Methods for Biomedicine Applications

    Directory of Open Access Journals (Sweden)

    Qingxue Zhang

    2017-07-01

    Full Text Available Nowadays, pervasive computing technologies are paving a promising way for advanced smart health applications. However, a key impediment faced by wide deployment of these assistive smart devices, is the increasing privacy and security issue, such as how to protect access to sensitive patient data in the health record. Focusing on this challenge, biometrics are attracting intense attention in terms of effective user identification to enable confidential health applications. In this paper, we take special interest in two bio-potential-based biometric modalities, electrocardiogram (ECG and electroencephalogram (EEG, considering that they are both unique to individuals, and more reliable than token (identity card and knowledge-based (username/password methods. After extracting effective features in multiple domains from ECG/EEG signals, several advanced machine learning algorithms are introduced to perform the user identification task, including Neural Network, K-nearest Neighbor, Bagging, Random Forest and AdaBoost. Experimental results on two public ECG and EEG datasets show that ECG is a more robust biometric modality compared to EEG, leveraging a higher signal to noise ratio and also more distinguishable morphological patterns. Among different machine learning classifiers, the random forest greatly outperforms the others and owns an identification rate as high as 98%. This study is expected to demonstrate that properly selected biometric empowered by an effective machine learner owns a great potential, to enable confidential biomedicine applications in the era of smart digital health.

  2. The Effects of the CALL Model on College English Reading Teaching

    Directory of Open Access Journals (Sweden)

    Dan Zhang

    2017-12-01

    Full Text Available Computer Assisted Language Learning (CALL is an important concept in English teaching method reform. College students’ English reading ability is an important indicator in the evaluation on the college students’ English proficiency. Therefore, this paper applies the CALL model in English reading teaching. Firstly, it introduces the application and development prospect of the CALL model, and analyzes its advantages and disadvantages; secondly, it analyzes the present situation of college English teaching and its influencing factors and then designs an application example to integrate the CALL model with different aspect of English reading. Finally, it analyzes the teaching results of college English reading under the CALL model. Therefore, in both theory and practice, this paper proves the effectiveness and innovativeness of the CALL model.

  3. Mobile Assisted Language Learning: Review of the Recent Applications of Emerging Mobile Technologies

    Science.gov (United States)

    Yang, Jaeseok

    2013-01-01

    As mobile computing technologies have been more powerful and inclusive in people's daily life, the issue of mobile assisted language learning (MALL) has also been widely explored in CALL research. Many researches on MALL consider the emerging mobile technologies have considerable potentials for the effective language learning. This review study…

  4. Advanced Machine learning Algorithm Application for Rotating Machine Health Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Kanemoto, Shigeru; Watanabe, Masaya [The University of Aizu, Aizuwakamatsu (Japan); Yusa, Noritaka [Tohoku University, Sendai (Japan)

    2014-08-15

    The present paper tries to evaluate the applicability of conventional sound analysis techniques and modern machine learning algorithms to rotating machine health monitoring. These techniques include support vector machine, deep leaning neural network, etc. The inner ring defect and misalignment anomaly sound data measured by a rotating machine mockup test facility are used to verify the above various kinds of algorithms. Although we cannot find remarkable difference of anomaly discrimination performance, some methods give us the very interesting eigen patterns corresponding to normal and abnormal states. These results will be useful for future more sensitive and robust anomaly monitoring technology.

  5. Extreme learning machine for ranking: generalization analysis and applications.

    Science.gov (United States)

    Chen, Hong; Peng, Jiangtao; Zhou, Yicong; Li, Luoqing; Pan, Zhibin

    2014-05-01

    The extreme learning machine (ELM) has attracted increasing attention recently with its successful applications in classification and regression. In this paper, we investigate the generalization performance of ELM-based ranking. A new regularized ranking algorithm is proposed based on the combinations of activation functions in ELM. The generalization analysis is established for the ELM-based ranking (ELMRank) in terms of the covering numbers of hypothesis space. Empirical results on the benchmark datasets show the competitive performance of the ELMRank over the state-of-the-art ranking methods. Copyright © 2014 Elsevier Ltd. All rights reserved.

  6. Advanced Machine learning Algorithm Application for Rotating Machine Health Monitoring

    International Nuclear Information System (INIS)

    Kanemoto, Shigeru; Watanabe, Masaya; Yusa, Noritaka

    2014-01-01

    The present paper tries to evaluate the applicability of conventional sound analysis techniques and modern machine learning algorithms to rotating machine health monitoring. These techniques include support vector machine, deep leaning neural network, etc. The inner ring defect and misalignment anomaly sound data measured by a rotating machine mockup test facility are used to verify the above various kinds of algorithms. Although we cannot find remarkable difference of anomaly discrimination performance, some methods give us the very interesting eigen patterns corresponding to normal and abnormal states. These results will be useful for future more sensitive and robust anomaly monitoring technology

  7. Call Center Capacity Planning

    DEFF Research Database (Denmark)

    Nielsen, Thomas Bang

    in order to relate the results to the service levels used in call centers. Furthermore, the generic nature of the approximation is demonstrated by applying it to a system incorporating a dynamic priority scheme. In the last paper Optimization of overflow policies in call centers, overflows between agent......The main topics of the thesis are theoretical and applied queueing theory within a call center setting. Call centers have in recent years become the main means of communication between customers and companies, and between citizens and public institutions. The extensively computerized infrastructure...... in modern call centers allows for a high level of customization, but also induces complicated operational processes. The size of the industry together with the complex and labor intensive nature of large call centers motivates the research carried out to understand the underlying processes. The customizable...

  8. Lifelong Learning Application: Mobile Application to Promote Lifelong Learning and Introduce Educational Institutions

    Directory of Open Access Journals (Sweden)

    Wongpanya Nuankaew

    2017-08-01

    Full Text Available Education is the raising of the thinking process and developing the mind in a broader perspective. However, education that is comprehensive and appropriate to the individual according to its potential, ability and skill is too hardest to describe. Thus, matching and referral institutions, including education model that suits the person’s behavior has been receiving attention. The purpose of this research is to study and develop the applications that support the development of the learner’s education process with the highest degree of achievement. The material and method are consisting of five main processes, including 1 requirement definition, 2 system and software design, 3 implementation and unit testing, 4 integration and system testing, and 5 operation and maintenance. The data collection were collected from 431 samples, which divided into 4 targets; 186 high school students at Phadungnaree School, Maha Sarakham province, 191 university students at Rajabhat Mahasarakham University, 12 head of institutions at Phadungnaree School and Rajabhat Mahasarakham University, and 42 secondary teachers and university lecturers at Phadungnaree School and Rajabhat Mahasarakham University. According to the results of research, it is indicated that the total satisfaction toward the application are highest, which is equal to 4.32, and the groups with the highest levels of satisfaction are university students, which is equal to 4.43. It can be concluded that the application is appropriate and it is advisable for students who wish to study at university.

  9. Application of Machine Learning for Dragline Failure Prediction

    Directory of Open Access Journals (Sweden)

    Taghizadeh Amir

    2017-01-01

    Full Text Available Overburden stripping in open cast coal mines is extensively carried out by walking draglines. Draglines’ unavailability and unexpected failures result in delayed productions and increased maintenance and operating costs. Therefore, achieving high availability of draglines plays a crucial role for increasing economic feasibility of mining projects. Applications of methodologies which can forecast the failure type of dragline based on the available failure data not only help to reduce the maintenance and operating costs but also increase the availability and the production rate. In this study, Machine Learning approaches have been applied for data which has been gathered from an operating coal mine in Turkey. The study methodology consists of three algorithms as: i implementation of K-Nearest Neighbors, ii implementation of Multi-Layer Perceptron, and iii implementation of Radial Basis Function. The algorithms have been utilized for predicting the draglines’ failure types. In this sense, the input data, which are mean time-to-failure, and the output data, failure types, have been fed to the algorithms. The regression analysis of methodologies have been compared and showed the K- Nearest Neighbors has a higher rate of regression which is around 70 percent. Thus, the K-Nearest Neighbor algorithm can be applied in order to preventive components replacement which causes to minimized preventive and corrective cost parameters. The accurate prediction of failure type, indeed, causes to optimized number of inspections. The novelty of this study is application of machine learning approaches in draglines’ reliability subject for first time.

  10. The Application of E-learning in Maritime Education and Training in China

    OpenAIRE

    Xi Chen; Xiangen Bai; Yingjie Xiao

    2017-01-01

    E-learning brings the third wave to Internet applications. E-learning is a new training mode with the open characteristics, which is completely different with traditional training. E-learning teaches students the specialized knowledge of theories, work experience and technology by information networks and computer hardware equipment. Students can through a variety of terminal equipment to learn anytime and anywhere, so as to improve student learning results. Maritime education and training mu...

  11. Design, Development, and Evaluation of a Mobile Learning Application for Computing Education

    Science.gov (United States)

    Oyelere, Solomon Sunday; Suhonen, Jarkko; Wajiga, Greg M.; Sutinen, Erkki

    2018-01-01

    The study focused on the application of the design science research approach in the course of developing a mobile learning application, MobileEdu, for computing education in the Nigerian higher education context. MobileEdu facilitates the learning of computer science courses on mobile devices. The application supports ubiquitous, collaborative,…

  12. Callings and Organizational Behavior

    Science.gov (United States)

    Elangovan, A. R.; Pinder, Craig C.; McLean, Murdith

    2010-01-01

    Current literature on careers, social identity and meaning in work tends to understate the multiplicity, historical significance, and nuances of the concept of calling(s). In this article, we trace the evolution of the concept from its religious roots into secular realms and develop a typology of interpretations using occupation and religious…

  13. eLearning--Theories, Design, Software and Applications

    Science.gov (United States)

    Ghislandi, Patrizia, Ed.

    2012-01-01

    Chapters in this book include: (1) New e-Learning Environments: e-Merging Networks in the Relational Society (Blanca C. Garcia); (2) Knowledge Building in E-Learning (Xinyu Zhang and Lu Yuhao); (3) E-Learning and Desired Learning Outcomes (Ralph Palliam); (4) Innovative E-Learning Solutions and Environments for Small and Medium Sized Companies…

  14. MACHINE LEARNING FOR THE SELF-ORGANIZATION OF DISTRIBUTED SYSTEMS IN ECONOMIC APPLICATIONS

    OpenAIRE

    Jerzy Balicki; Waldemar Korłub

    2017-01-01

    In this paper, an application of machine learning to the problem of self-organization of distributed systems has been discussed with regard to economic applications, with particular emphasis on supervised neural network learning to predict stock investments and some ratings of companies. In addition, genetic programming can play an important role in the preparation and testing of several financial information systems. For this reason, machine learning applications have been discussed because ...

  15. Learning analytics fundaments, applications, and trends : a view of the current state of the art to enhance e-learning

    CERN Document Server

    2017-01-01

    This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

  16. Education for a Learning Society.

    Science.gov (United States)

    Tempero, Howard E., Ed.

    The essays contained in this booklet are 1) "Education for a 'Learning Society': The Challenge" by Ernest Bayles in which he calls for focus on learning to live, developing skills of reflection and judgment applicable to vital issues, and reflective teaching; 2) "Teacher Education in a Learning Society" in which David Turney demands teacher…

  17. Science Teachers' Views and Stereotypes of Religion, Scientists and Scientific Research: A call for scientist-science teacher partnerships to promote inquiry-based learning

    Science.gov (United States)

    Mansour, Nasser

    2015-07-01

    Despite a growing consensus regarding the value of inquiry-based learning (IBL) for students' learning and engagement in the science classroom, the implementation of such practices continues to be a challenge. If science teachers are to use IBL to develop students' inquiry practices and encourage them to think and act as scientists, a better understanding of factors that influence their attitudes towards scientific research and scientists' practices is very much needed. Within this context there is a need to re-examine the science teachers' views of scientists and the cultural factors that might have an impact on teachers' views and pedagogical practices. A diverse group of Egyptian science teachers took part in a quantitative-qualitative study using a questionnaire and in-depth interviews to explore their views of scientists and scientific research, and to understand how they negotiated their views of scientists and scientific research in the classroom, and how these views informed their practices of using inquiry in the classroom. The findings highlighted how the teachers' cultural beliefs and views of scientists and scientific research had constructed idiosyncratic pedagogical views and practices. The study suggested implications for further research and argued for teacher professional development based on partnerships with scientists.

  18. The Effect of Mobile Learning Applications on Students' Academic Achievement and Attitudes toward Mobile Learning

    Science.gov (United States)

    Demir, Kadir; Akpinar, Ercan

    2018-01-01

    This study examines the effect of mobile learning applications on undergraduate students' academic achievement, attitudes toward mobile learning and animation development levels. Quasi-experimental design was used in the study. Participants of the study were students of the Buca Faculty of Education at Dokuz Eylul University in Turkey. The…

  19. Ethical Issues in E-Learning: Insights from the Application of Stakeholder Analysis in Three E-Learning Cases.

    Science.gov (United States)

    Chozos, Polyneikis; Lytras, Miltos; Pouloudi, Nancy

    The application of emerging digital technologies such as e-mail, the World Wide Web and the Internet in the educational setting has received wide acceptance all over the world. Both corporate and academic agendas have recognized the potential advantages of e-learning; however, as a new field, e-learning courses comes with important issues that…

  20. The Meaningful Learning of Intellectual Skills: An Application of Ausubel's Subsumption Theory to the Domain of Intellectual Skills Learning.

    Science.gov (United States)

    West, Leo H. T.; Kellett, Natalie C.

    1981-01-01

    Tests the applicability of Ausubel's theory to the meaningful learning of intellectual skills. Results of three studies of high school students indicate that advance organizers enhance learning of skills related to solubility product problems. This effect was removed if prior teaching in relevant background knowledge was included. (Author/WB)

  1. Towards synergy between learning management systems and educational server applications

    OpenAIRE

    Hartog, R.J.M.; Schaaf, van der, H.; Kassahun, A.

    2008-01-01

    Most well-known Learning Management Systems (LMS) are based on a paradigm of learning objects to be uploaded into the system. Most formulations of this paradigm implicitly assume that the learning objects are self contained learning objects such as FLASH objects or JAVA applets or presentational learning objects such as slide presentations. These are typically client side objects. However, a demand for learning support that activates the student can often be satisfied better with a server app...

  2. Application of Extreme Learning Machines to inverse neutron kinetics

    International Nuclear Information System (INIS)

    Picca, Paolo; Furfaro, Roberto

    2017-01-01

    Highlights: • The paper applies the Extreme Learning Machines (ELMs) to inverse reactor problems. • Multi-group transport model is used for the inversion as opposed to point kinetics. • ELMs are compared against Artificial Neural Networks (ANNs). • Various options are tested to improve the reliability of the estimation. • Results highlight the potential of the ELM approach. - Abstract: The paper presents the application of Extreme Leaning Machines (ELMs) for inverse reactor kinetic applications. ELMs were proposed by Huang and co-workers (2004, 2006a,b, 2015), which showed their enhances capabilities in terms of training speed and generalization with respect to classical Artificial Neural Networks (ANNs). ELMs are here implemented for reactivity determination as an alternative to ANNs (e.g. Picca et al. (2008)) and Gaussian Processes (Picca and Furfaro, 2012). After a review of the main features of ELMs, their application to inverse kinetic problems is proposed. The ELMs performance is tested on a typical accelerator drive system configuration (Yalina reactor) and the inversion is carried out on an accurate kinetic model (multi-group transport).

  3. Call cultures in orang-utans?

    Directory of Open Access Journals (Sweden)

    Serge A Wich

    Full Text Available BACKGROUND: Several studies suggested great ape cultures, arguing that human cumulative culture presumably evolved from such a foundation. These focused on conspicuous behaviours, and showed rich geographic variation, which could not be attributed to known ecological or genetic differences. Although geographic variation within call types (accents has previously been reported for orang-utans and other primate species, we examine geographic variation in the presence/absence of discrete call types (dialects. Because orang-utans have been shown to have geographic variation that is not completely explicable by genetic or ecological factors we hypothesized that this will be similar in the call domain and predict that discrete call type variation between populations will be found. METHODOLOGY/PRINCIPAL FINDINGS: We examined long-term behavioural data from five orang-utan populations and collected fecal samples for genetic analyses. We show that there is geographic variation in the presence of discrete types of calls. In exactly the same behavioural context (nest building and infant retrieval, individuals in different wild populations customarily emit either qualitatively different calls or calls in some but not in others. By comparing patterns in call-type and genetic similarity, we suggest that the observed variation is not likely to be explained by genetic or ecological differences. CONCLUSION/SIGNIFICANCE: These results are consistent with the potential presence of 'call cultures' and suggest that wild orang-utans possess the ability to invent arbitrary calls, which spread through social learning. These findings differ substantially from those that have been reported for primates before. First, the results reported here are on dialect and not on accent. Second, this study presents cases of production learning whereas most primate studies on vocal learning were cases of contextual learning. We conclude with speculating on how these findings might

  4. Distance learning strategies for weight management utilizing social media: A comparison of phone conference call versus social media platform. Rationale and design for a randomized study.

    Science.gov (United States)

    Willis, Erik A; Szabo-Reed, Amanda N; Ptomey, Lauren T; Steger, Felicia L; Honas, Jeffery J; Al-Hihi, Eyad M; Lee, Robert; Vansaghi, Lisa; Washburn, Richard A; Donnelly, Joseph E

    2016-03-01

    Management of obesity in the context of the primary care physician visit is of limited efficacy in part because of limited ability to engage participants in sustained behavior change between physician visits. Therefore, healthcare systems must find methods to address obesity that reach beyond the walls of clinics and hospitals and address the issues of lifestyle modification in a cost-conscious way. The dramatic increase in technology and online social networks may present healthcare providers with innovative ways to deliver weight management programs that could have an impact on health care at the population level. A randomized study will be conducted on 70 obese adults (BMI 30.0-45.0 kg/m(2)) to determine if weight loss (6 months) is equivalent between weight management interventions utilizing behavioral strategies by either a conference call or social media approach. The primary outcome, body weight, will be assessed at baseline and 6 months. Secondary outcomes including waist circumference, energy and macronutrient intake, and physical activity will be assessed on the same schedule. In addition, a cost analysis and process evaluation will be completed. Copyright © 2016 Elsevier Inc. All rights reserved.

  5. Application of Machine Learning Algorithms for the Query Performance Prediction

    Directory of Open Access Journals (Sweden)

    MILICEVIC, M.

    2015-08-01

    Full Text Available This paper analyzes the relationship between the system load/throughput and the query response time in a real Online transaction processing (OLTP system environment. Although OLTP systems are characterized by short transactions, which normally entail high availability and consistent short response times, the need for operational reporting may jeopardize these objectives. We suggest a new approach to performance prediction for concurrent database workloads, based on the system state vector which consists of 36 attributes. There is no bias to the importance of certain attributes, but the machine learning methods are used to determine which attributes better describe the behavior of the particular database server and how to model that system. During the learning phase, the system's profile is created using multiple reference queries, which are selected to represent frequent business processes. The possibility of the accurate response time prediction may be a foundation for automated decision-making for database (DB query scheduling. Possible applications of the proposed method include adaptive resource allocation, quality of service (QoS management or real-time dynamic query scheduling (e.g. estimation of the optimal moment for a complex query execution.

  6. Machine learning approaches: from theory to application in schizophrenia.

    Science.gov (United States)

    Veronese, Elisa; Castellani, Umberto; Peruzzo, Denis; Bellani, Marcella; Brambilla, Paolo

    2013-01-01

    In recent years, machine learning approaches have been successfully applied for analysis of neuroimaging data, to help in the context of disease diagnosis. We provide, in this paper, an overview of recent support vector machine-based methods developed and applied in psychiatric neuroimaging for the investigation of schizophrenia. In particular, we focus on the algorithms implemented by our group, which have been applied to classify subjects affected by schizophrenia and healthy controls, comparing them in terms of accuracy results with other recently published studies. First we give a description of the basic terminology used in pattern recognition and machine learning. Then we separately summarize and explain each study, highlighting the main features that characterize each method. Finally, as an outcome of the comparison of the results obtained applying the described different techniques, conclusions are drawn in order to understand how much automatic classification approaches can be considered a useful tool in understanding the biological underpinnings of schizophrenia. We then conclude by discussing the main implications achievable by the application of these methods into clinical practice.

  7. Machine Learning Approaches: From Theory to Application in Schizophrenia

    Directory of Open Access Journals (Sweden)

    Elisa Veronese

    2013-01-01

    Full Text Available In recent years, machine learning approaches have been successfully applied for analysis of neuroimaging data, to help in the context of disease diagnosis. We provide, in this paper, an overview of recent support vector machine-based methods developed and applied in psychiatric neuroimaging for the investigation of schizophrenia. In particular, we focus on the algorithms implemented by our group, which have been applied to classify subjects affected by schizophrenia and healthy controls, comparing them in terms of accuracy results with other recently published studies. First we give a description of the basic terminology used in pattern recognition and machine learning. Then we separately summarize and explain each study, highlighting the main features that characterize each method. Finally, as an outcome of the comparison of the results obtained applying the described different techniques, conclusions are drawn in order to understand how much automatic classification approaches can be considered a useful tool in understanding the biological underpinnings of schizophrenia. We then conclude by discussing the main implications achievable by the application of these methods into clinical practice.

  8. Machine learning in materials informatics: recent applications and prospects

    Science.gov (United States)

    Ramprasad, Rampi; Batra, Rohit; Pilania, Ghanshyam; Mannodi-Kanakkithodi, Arun; Kim, Chiho

    2017-12-01

    Propelled partly by the Materials Genome Initiative, and partly by the algorithmic developments and the resounding successes of data-driven efforts in other domains, informatics strategies are beginning to take shape within materials science. These approaches lead to surrogate machine learning models that enable rapid predictions based purely on past data rather than by direct experimentation or by computations/simulations in which fundamental equations are explicitly solved. Data-centric informatics methods are becoming useful to determine material properties that are hard to measure or compute using traditional methods—due to the cost, time or effort involved—but for which reliable data either already exists or can be generated for at least a subset of the critical cases. Predictions are typically interpolative, involving fingerprinting a material numerically first, and then following a mapping (established via a learning algorithm) between the fingerprint and the property of interest. Fingerprints, also referred to as "descriptors", may be of many types and scales, as dictated by the application domain and needs. Predictions may also be extrapolative—extending into new materials spaces—provided prediction uncertainties are properly taken into account. This article attempts to provide an overview of some of the recent successful data-driven "materials informatics" strategies undertaken in the last decade, with particular emphasis on the fingerprint or descriptor choices. The review also identifies some challenges the community is facing and those that should be overcome in the near future.

  9. Learner Personas in CALL

    Science.gov (United States)

    Heift, Trude

    2007-01-01

    In examining the titles of this year's conference presentations, the author noticed quite a few papers that focus on learner-specific issues, for instance, papers that address learning styles, learner needs, personality and learning, learner modeling and, more generally, pedagogical issues that deal with individual learner differences in…

  10. Teachers' Reports of Learning and Application to Pedagogy Based on Engagement in Collaborative Peer Video Analysis

    Science.gov (United States)

    Christ, Tanya; Arya, Poonam; Chiu, Ming Ming

    2014-01-01

    Given international use of video-based reflective discussions in teacher education, and the limited knowledge about whether teachers apply learning from these discussions, we explored teachers' learning of new ideas about pedagogy and their self-reported application of this learning. Nine inservice and 48 preservice teachers participated in…

  11. Ethical and Privacy Issues in the Design of Learning Analytics Applications

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hoel, Tore; Cooper, Adam; Kismihok, Gabor; Berg, Alan; Scheffel, Maren; Chen, Weiqin; Ferguson, Rebecca

    2017-01-01

    Issues related to Ethics and Privacy have become a major stumbling block in application of Learning Analytics technologies on a large scale. Recently, the learning analytics community at large has more actively addressed the EP4LA issues, and we are now starting to see learning analytics solutions

  12. Informal Workplace Learning. Practice Application Brief No. 10.

    Science.gov (United States)

    Cofer, David A.

    Research on informal learning in the workplace suggests several definitions, including that informal learning is a process of learning that takes place in everyday experience, often at subconscious levels, and that it is unique to, and rests in the hands of, the learner. Research supports introducing informal learning not as a replacement for…

  13. Assessing call centers’ success:

    Directory of Open Access Journals (Sweden)

    Hesham A. Baraka

    2013-07-01

    This paper introduces a model to evaluate the performance of call centers based on the Delone and McLean Information Systems success model. A number of indicators are identified to track the call center’s performance. Mapping of the proposed indicators to the six dimensions of the D&M model is presented. A Weighted Call Center Performance Index is proposed to assess the call center performance; the index is used to analyze the effect of the identified indicators. Policy-Weighted approach was used to assume the weights with an analysis of different weights for each dimension. The analysis of the different weights cases gave priority to the User satisfaction and net Benefits dimension as the two outcomes from the system. For the input dimensions, higher priority was given to the system quality and the service quality dimension. Call centers decision makers can use the tool to tune the different weights in order to reach the objectives set by the organization. Multiple linear regression analysis was used in order to provide a linear formula for the User Satisfaction dimension and the Net Benefits dimension in order to be able to forecast the values for these two dimensions as function of the other dimensions

  14. Attitudes of Medical Graduate and Undergraduate Students toward the Learning and Application of Medical Statistics

    Science.gov (United States)

    Wu, Yazhou; Zhang, Ling; Liu, Ling; Zhang, Yanqi; Liu, Xiaoyu; Yi, Dong

    2015-01-01

    It is clear that the teaching of medical statistics needs to be improved, yet areas for priority are unclear as medical students' learning and application of statistics at different levels is not well known. Our goal is to assess the attitudes of medical students toward the learning and application of medical statistics, and discover their…

  15. ZooQuest: A mobile game-based learning application for fifth graders

    NARCIS (Netherlands)

    Veenhof, G.; Sandberg, J.A.C.; Maris, M.G.

    2012-01-01

    This study examined ZooQuest, a mobile game that supported fifth graders in the process of learning English as a second language. ZooQuest embedded the Mobile English Learning (MEL) application and was compared to MEL as a stand-alone application. Two groups were compared in a quasi-experimental

  16. Update on Research and Application of Problem-Based Learning in Medical Science Education

    Science.gov (United States)

    Fan, Chuifeng; Jiang, Biying; Shi, Xiuying; Wang, Enhua; Li, Qingchang

    2018-01-01

    Problem-based learning (PBL) is a unique form of pedagogy dedicated to developing students' self-learning and clinical practice skills. After several decades of development, although applications vary, PBL has been recognized all over the world and implemented by many medical schools. This review summarizes and updates the application and study of…

  17. Application of blended learning in teaching statistical methods

    Directory of Open Access Journals (Sweden)

    Barbara Dębska

    2012-12-01

    Full Text Available The paper presents the application of a hybrid method (blended learning - linking traditional education with on-line education to teach selected problems of mathematical statistics. This includes the teaching of the application of mathematical statistics to evaluate laboratory experimental results. An on-line statistics course was developed to form an integral part of the module ‘methods of statistical evaluation of experimental results’. The course complies with the principles outlined in the Polish National Framework of Qualifications with respect to the scope of knowledge, skills and competencies that students should have acquired at course completion. The paper presents the structure of the course and the educational content provided through multimedia lessons made accessible on the Moodle platform. Following courses which used the traditional method of teaching and courses which used the hybrid method of teaching, students test results were compared and discussed to evaluate the effectiveness of the hybrid method of teaching when compared to the effectiveness of the traditional method of teaching.

  18. Application of visual cryptography for learning in optics and photonics

    Science.gov (United States)

    Mandal, Avikarsha; Wozniak, Peter; Vauderwange, Oliver; Curticapean, Dan

    2016-09-01

    In the age data digitalization, important applications of optics and photonics based sensors and technology lie in the field of biometrics and image processing. Protecting user data in a safe and secure way is an essential task in this area. However, traditional cryptographic protocols rely heavily on computer aided computation. Secure protocols which rely only on human interactions are usually simpler to understand. In many scenarios development of such protocols are also important for ease of implementation and deployment. Visual cryptography (VC) is an encryption technique on images (or text) in which decryption is done by human visual system. In this technique, an image is encrypted into number of pieces (known as shares). When the printed shares are physically superimposed together, the image can be decrypted with human vision. Modern digital watermarking technologies can be combined with VC for image copyright protection where the shares can be watermarks (small identification) embedded in the image. Similarly, VC can be used for improving security of biometric authentication. This paper presents about design and implementation of a practical laboratory experiment based on the concept of VC for a course in media engineering. Specifically, our contribution deals with integration of VC in different schemes for applications like digital watermarking and biometric authentication in the field of optics and photonics. We describe theoretical concepts and propose our infrastructure for the experiment. Finally, we will evaluate the learning outcome of the experiment, performed by the students.

  19. Care and calls

    DEFF Research Database (Denmark)

    Paasch, Bettina Sletten

    -centred care through the use of tactile resources and embodied orientations while they attend to the phone call. Experienced nurses Thus perform multiactivity by distributing attention towards both the patient and the phone, and the analysis shows that their concrete ways of doing so depend on the complex...... they are telephoned during interactions with patients are not universal. Indeed different strategies have evolved in other hospital departments. Not only does this thesis contribute insights into the way nurses manage phone calls during interactions with patients, but by subscribing to a growing body of embodied...... of human interaction....

  20. An experimental result of estimating an application volume by machine learning techniques.

    Science.gov (United States)

    Hasegawa, Tatsuhito; Koshino, Makoto; Kimura, Haruhiko

    2015-01-01

    In this study, we improved the usability of smartphones by automating a user's operations. We developed an intelligent system using machine learning techniques that periodically detects a user's context on a smartphone. We selected the Android operating system because it has the largest market share and highest flexibility of its development environment. In this paper, we describe an application that automatically adjusts application volume. Adjusting the volume can be easily forgotten because users need to push the volume buttons to alter the volume depending on the given situation. Therefore, we developed an application that automatically adjusts the volume based on learned user settings. Application volume can be set differently from ringtone volume on Android devices, and these volume settings are associated with each specific application including games. Our application records a user's location, the volume setting, the foreground application name and other such attributes as learning data, thereby estimating whether the volume should be adjusted using machine learning techniques via Weka.

  1. Macrogeographical variability in the great call of Hylobates agilis: assessing the applicability of vocal analysis in studies of fine-scale taxonomy of gibbons

    DEFF Research Database (Denmark)

    Heller, R; Pedersen, Adam Frederik Sander; Wang, Christian William

    2010-01-01

    Vocal characteristics have been used extensively to distinguish different taxonomic units of gibbons (family Hylobatidae). The agile gibbon (Hylobates agilis) has a disjunct distribution range in the Southeast Asian archipelago (remnants of the former Sunda landmass), and populations on different...... islands are currently recognized as distinct subspecies or even species. We recorded great calls from female agile gibbons from two populations on Sumatra and two populations on Borneo and examined the vocal variability on four levels: within-individuals, between-individuals, between...

  2. Partitioning a call graph

    NARCIS (Netherlands)

    Bisseling, R.H.; Byrka, J.; Cerav-Erbas, S.; Gvozdenovic, N.; Lorenz, M.; Pendavingh, R.A.; Reeves, C.; Röger, M.; Verhoeven, A.; Berg, van den J.B.; Bhulai, S.; Hulshof, J.; Koole, G.; Quant, C.; Williams, J.F.

    2006-01-01

    Splitting a large software system into smaller and more manageable units has become an important problem for many organizations. The basic structure of a software system is given by a directed graph with vertices representing the programs of the system and arcs representing calls from one program to

  3. CALLING AQUARIUM LOVERS...

    CERN Multimedia

    2002-01-01

    CERN's anemones will soon be orphans. We are looking for someone willing to look after the aquarium in the main building, for one year. If you are interested, or if you would like more information, please call 73830. (The anemones living in the aquarium thank you in anticipation.)

  4. A call for surveys

    DEFF Research Database (Denmark)

    Bernstein, Philip A.; Jensen, Christian S.; Tan, Kian-Lee

    2012-01-01

    The database field is experiencing an increasing need for survey papers. We call on more researchers to set aside time for this important writing activity. The database field is growing in population, scope of topics covered, and the number of papers published. Each year, thousands of new papers ...

  5. Call for Research

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

    Marie-Isabelle Beyer

    2014-10-03

    Oct 3, 2014 ... 5.Submission process. 6.Eligibility criteria. 7.Selection Process. 8. Format and requirements. 9.Evaluation criteria. 10.Country clearance requirements. 11. .... It is envisaged that through this call a single consortium will undertake 6-8 projects within a total budget of up to ... principle qualify for IDRC's support.

  6. Too close to call

    DEFF Research Database (Denmark)

    Kurrild-Klitgaard, Peter

    2012-01-01

    a number of other frequent explanations and is found to be quite robust. When augmented with approval ratings for incumbent presidents, the explanatory power increases to 83 pct. and only incorrectly calls one of the last 15 US presidential elections. Applied to the 2012 election as a forecasting model...

  7. A Study of Multimedia Application-Based Vocabulary Acquisition

    Science.gov (United States)

    Shao, Jing

    2012-01-01

    The development of computer-assisted language learning (CALL) has created the opportunity for exploring the effects of the multimedia application on foreign language vocabulary acquisition in recent years. This study provides an overview the computer-assisted language learning (CALL) and detailed a developing result of CALL--multimedia. With the…

  8. 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

  9. 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

  10. Computer program for distance learning of pesticide application technology

    Directory of Open Access Journals (Sweden)

    Bruno Maia

    2011-12-01

    Full Text Available Distance learning presents great potential for mitigating field problems on pesticide application technology. Thus, due to the lack of teaching material about pesticide spraying technology in the Portuguese language and the increasing availability of distance learning, this study developed and evaluated a computer program for distance learning about the theory of pesticide spraying technology using the tools of information technology. The modules comprising the course, named Pulverizar, were: (1 Basic concepts, (2 Factors that affect application, (3 Equipments, (4 Spraying nozzles, (5 Sprayer calibration, (6 Aerial application, (7 Chemigation, (8 Physical-chemical properties, (9 Formulations, (10 Adjuvants, (11 Water quality, and (12 Adequate use of pesticides. The program was made available to the public on July 1st, 2008, hosted at the web site www.pulverizar.iciag.ufu.br, and was simple, robust and practical on the complementation of traditional teaching for the education of professionals in Agricultural Sciences. Mastering pesticide spraying technology by people involved in agricultural production can be facilitated by the program Pulverizar, which was well accepted in its initial evaluation.O ensino à distância apresenta grande potencial para minorar os problemas ocorridos no campo na área de tecnologia de aplicação de agroquímicos. Dessa forma, diante da escassez de material instrucional na área de tecnologia de aplicação de agroquímicos em Português e do crescimento elevado da educação à distância, o objetivo deste trabalho foi desenvolver e avaliar um programa computacional para o ensino à distância da parte teórica de tecnologia de aplicação de agroquímicos, utilizando as ferramentas de tecnologia da informação. Os módulos que compuseram o curso, intitulado Pulverizar, foram: (1 Conceitos básicos, (2 Fatores que afetam a aplicação, (3 Equipamentos, (4 Pontas de pulverização, (5 Calibração de pulverizadores

  11. Recommender systems for technology enhanced learning research trends and applications

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien

    2014-01-01

    Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL) International contributions are included to demonstrate the merging of various efforts and communities Topics include: Linked Data and the Social Web as Facilitators for TEL Recommender Systems in Research and Practice, Personalised Learning-Plan Recommendations in Game-Based Learning and Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem

  12. Deep Learning in the Automotive Industry: Applications and Tools

    OpenAIRE

    Luckow, Andre; Cook, Matthew; Ashcraft, Nathan; Weill, Edwin; Djerekarov, Emil; Vorster, Bennie

    2017-01-01

    Deep Learning refers to a set of machine learning techniques that utilize neural networks with many hidden layers for tasks, such as image classification, speech recognition, language understanding. Deep learning has been proven to be very effective in these domains and is pervasively used by many Internet services. In this paper, we describe different automotive uses cases for deep learning in particular in the domain of computer vision. We surveys the current state-of-the-art in libraries, ...

  13. Theoretical Perspectives Underlying the Application of Cooperative Learning in Classrooms

    Science.gov (United States)

    Tran, Van Dat

    2013-01-01

    Cooperative learning has been the centre of worldwide attention because it has been shown to have strong effects on student learning, as well as other positive outcomes. Although the academic, social, affective and psychological outcomes of students taught by cooperative learning are more positive compared with students taught by the traditional…

  14. Enhancing Learning Outcomes through Application Driven Activities in Marketing

    Science.gov (United States)

    Stegemann, Nicole; Sutton-Brady, Catherine

    2013-01-01

    This paper introduces an activity used in class to allow students to apply previously acquired information to a hands-on task. As the authors have previously shown active learning is a way to effectively facilitate and improve students' learning outcomes. As a result to improve learning outcomes we have overtime developed a series of learning…

  15. The Application of Buddhist Principles to Lifelong Learning.

    Science.gov (United States)

    Johnson, Ian

    2002-01-01

    Defining lifelong learning as conscious learning taking place throughout life, Buddhist meditation, contemplation, and mindfulnes are practices suitable to developing awareness of life experience. This broadens the concept of lifelong learning beyond the narrow vocationalism and economic determinism of much current discourse. (Contains 36…

  16. Learning by Example: Designing and Developing Linked Data Application

    Science.gov (United States)

    Tharani, Karim

    2016-01-01

    According to constructivist theory of learning, new knowledge is learned on the basis of what is already known by learners. Thus for an emerging and transformative technology such as Linked Data to be learned, the technology must be made relevant for learners and must be compatible with their skillset. Designing and developing Linked Data…

  17. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.

    Science.gov (United States)

    Kim, Jihun; Kim, Jonghong; Jang, Gil-Jin; Lee, Minho

    2017-03-01

    Deep learning has received significant attention recently as a promising solution to many problems in the area of artificial intelligence. Among several deep learning architectures, convolutional neural networks (CNNs) demonstrate superior performance when compared to other machine learning methods in the applications of object detection and recognition. We use a CNN for image enhancement and the detection of driving lanes on motorways. In general, the process of lane detection consists of edge extraction and line detection. A CNN can be used to enhance the input images before lane detection by excluding noise and obstacles that are irrelevant to the edge detection result. However, training conventional CNNs requires considerable computation and a big dataset. Therefore, we suggest a new learning algorithm for CNNs using an extreme learning machine (ELM). The ELM is a fast learning method used to calculate network weights between output and hidden layers in a single iteration and thus, can dramatically reduce learning time while producing accurate results with minimal training data. A conventional ELM can be applied to networks with a single hidden layer; as such, we propose a stacked ELM architecture in the CNN framework. Further, we modify the backpropagation algorithm to find the targets of hidden layers and effectively learn network weights while maintaining performance. Experimental results confirm that the proposed method is effective in reducing learning time and improving performance. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. Care and Calls

    DEFF Research Database (Denmark)

    Paasch, Bettina Sletten

    on the enactment of care but also on patient safety. Nurses working in various hospital departments have developed different strategies for handling mobile phone calls when with a patient. Additional research into the ways nurses successfully or unsuccessfully enact care and ensure patient safety when they answer......In Danish hospitals, nurses have been equipped with a mobile work phone to improve their availability and efficiency. On the phones nurses receive internal and external phone conversations, patient calls, and alarms from electronic surveillance equipment. For safety reasons the phones cannot...... be switched off or silenced; they consequently ring during all activities and also during interactions with patients. A possible tension thus arises when nurses have to be both caring and sensitive towards the patient and simultaneously be efficient and available and answer their phone. The present paper...

  19. Flight calls and orientation

    DEFF Research Database (Denmark)

    Larsen, Ole Næsbye; Andersen, Bent Bach; Kropp, Wibke

    2008-01-01

    flight calls was simulated by sequential computer controlled activation of five loudspeakers placed in a linear array perpendicular to the bird's migration course. The bird responded to this stimulation by changing its migratory course in the direction of that of the ‘flying conspecifics' but after about......  In a pilot experiment a European Robin, Erithacus rubecula, expressing migratory restlessness with a stable orientation, was video filmed in the dark with an infrared camera and its directional migratory activity was recorded. The flight overhead of migrating conspecifics uttering nocturnal...... 30 minutes it drifted back to its original migration course. The results suggest that songbirds migrating alone at night can use the flight calls from conspecifics as additional cues for orientation and that they may compare this information with other cues to decide what course to keep....

  20. A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

    Directory of Open Access Journals (Sweden)

    Adrian Carrio

    2017-01-01

    Full Text Available Deep learning is recently showing outstanding results for solving a wide variety of robotic tasks in the areas of perception, planning, localization, and control. Its excellent capabilities for learning representations from the complex data acquired in real environments make it extremely suitable for many kinds of autonomous robotic applications. In parallel, Unmanned Aerial Vehicles (UAVs are currently being extensively applied for several types of civilian tasks in applications going from security, surveillance, and disaster rescue to parcel delivery or warehouse management. In this paper, a thorough review has been performed on recent reported uses and applications of deep learning for UAVs, including the most relevant developments as well as their performances and limitations. In addition, a detailed explanation of the main deep learning techniques is provided. We conclude with a description of the main challenges for the application of deep learning for UAV-based solutions.

  1. Machine learning applications in cancer prognosis and prediction.

    Science.gov (United States)

    Kourou, Konstantina; Exarchos, Themis P; Exarchos, Konstantinos P; Karamouzis, Michalis V; Fotiadis, Dimitrios I

    2015-01-01

    Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. In addition, the ability of ML tools to detect key features from complex datasets reveals their importance. A variety of these techniques, including Artificial Neural Networks (ANNs), Bayesian Networks (BNs), Support Vector Machines (SVMs) and Decision Trees (DTs) have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. Even though it is evident that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validation is needed in order for these methods to be considered in the everyday clinical practice. In this work, we present a review of recent ML approaches employed in the modeling of cancer progression. The predictive models discussed here are based on various supervised ML techniques as well as on different input features and data samples. Given the growing trend on the application of ML methods in cancer research, we present here the most recent publications that employ these techniques as an aim to model cancer risk or patient outcomes.

  2. Usability testing of e-learning: an approach incorporating co-discovery and think-aloud

    CSIR Research Space (South Africa)

    Adebesin, TF

    2009-06-01

    Full Text Available Computer applications developed to support learning in the cognitive domains are quite different from commercial transaction processing applications. The unique nature of such applications calls for different methods for evaluating their usability...

  3. "Galileo Calling Earth..."

    Science.gov (United States)

    National Aeronautics and Space Administration, Washington, DC.

    This guide presents an activity for helping students understand how data from the Galileo spacecraft is sent to scientists on earth. Students are asked to learn about the concepts of bit-rate and resolution and apply them to the interpretation of images from the Galileo Orbiter. (WRM)

  4. Learning Vue.js 2 learn how to build amazing and complex reactive web applications easily with Vue.js

    CERN Document Server

    Filipova, Olga

    2016-01-01

    About This Book Learn how to propagate DOM changes across the website without writing extensive jQuery callbacks code. Learn how to achieve reactivity and easily compose views with Vue.js and understand what it does behind the scenes. Explore the core features of Vue.js with small examples, learn how to build dynamic content into preexisting web applications, and build Vue.js applications from scratch. Who This Book Is For This book is perfect for novice web developer seeking to learn new technologies or frameworks and also for webdev gurus eager to enrich their experience. Whatever your level of expertise, this book is a great introduction to the wonderful world of reactive web apps. What You Will Learn Build a fully functioning reactive web application in Vue.js from scratch. The importance of the MVVM architecture and how Vue.js compares with other frameworks such as Angular.js and React.js. How to bring reactivity to an existing static application using Vue.js. How to use p...

  5. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application.

    Science.gov (United States)

    Zajaczek, J E W; Götz, F; Kupka, T; Behrends, M; Haubitz, B; Donnerstag, F; Rodt, T; Walter, G F; Matthies, H K; Becker, H

    2006-09-01

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology.

  6. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application

    Energy Technology Data Exchange (ETDEWEB)

    Zajaczek, J.E.W. [Hannover Medical School, Department of Neuroradiology (OE 8210), Hannover (Germany); Hannover Medical School, Department of Medical Informatics, Hannover (Germany); Goetz, F.; Haubitz, B.; Donnerstag, F.; Becker, H. [Hannover Medical School, Department of Neuroradiology (OE 8210), Hannover (Germany); Kupka, T.; Behrends, M.; Matthies, H.K. [Hannover Medical School, Department of Medical Informatics, Hannover (Germany); Rodt, T. [Hannover Medical School, Department of Neurosurgery, Hannover (Germany); Walter, G.F. [Medical University of Graz, Graz (Austria)

    2006-09-15

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology. (orig.)

  7. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application

    International Nuclear Information System (INIS)

    Zajaczek, J.E.W.; Goetz, F.; Haubitz, B.; Donnerstag, F.; Becker, H.; Kupka, T.; Behrends, M.; Matthies, H.K.; Rodt, T.; Walter, G.F.

    2006-01-01

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology. (orig.)

  8. How To Design a Mobile Application to Enhance Teaching and Learning?

    Directory of Open Access Journals (Sweden)

    Dothang Truong

    2014-05-01

    Full Text Available The rapid growth of mobile devices, especially smart phones, has changed the way instructors deliver instructions and students learn class materials. Many universities initiate promoting economic transformation by working to eliminate barriers to educational attainment through incorporating new technologies to enhance the delivery of instructions and student learning outcomes. The purpose of this research is to explore the usage of mobile applications in higher education and develop an application to help college students understand better the class materials, and thereby, enhance their learning outcomes. The detailed description, design, and interface of the application are presented along with dissemination plan.

  9. Discrete Learning Control with Application to Hydraulic Actuators

    DEFF Research Database (Denmark)

    Andersen, Torben Ole; Pedersen, Henrik Clemmensen; Hansen, Michael R.

    2015-01-01

    In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input...... and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances....

  10. FERMILAB: Call for physics

    International Nuclear Information System (INIS)

    Anon.

    1994-01-01

    Several hundred physicists attended a special Fermilab 'All Experimenter's Meeting' on November 20 to hear Director John Peoples call for new Tevatron Collider proposals for the years 2000-2005, when the new Main Injector will be complete. At the Tevatron proton-antiproton collider, the CDF and DO experiments are currently completing improvements for Run II to use the Tevatron when the Main Injector is complete later in this decade. New proposals would be aimed at a Collider Run III to follow these CDF and DO efforts

  11. To be called upon

    DEFF Research Database (Denmark)

    Kublitz, Anja

    2015-01-01

    When Danish Muslims explain what made them decide to travel to the Middle East and take up arms in the wake of the Arab Spring, they say that they were called upon. Displayed on videos on social media, women and sometimes children begged them to come to their rescue. In light of some...... to the mass if it is no longer a causal phenomenon that expands from small to big, but rather a simultaneous multitude of one to one relations that are neither local nor global? How are the one and the many related in this specific setting? Furthermore, many of the videos display dead bodies. How can we...

  12. The regulatory control over radiation sources: the Brazilian experience and some lessons learned from industrial applications

    International Nuclear Information System (INIS)

    Costa, E.L.C.; Gomes, J.D.R.L.; Gomes, R.S.; Costa, M.L.L.; Thomé, Z.D.; Instituto Militar de Engenharia

    2017-01-01

    This study gives an overview of the activities of the National Commission of Nuclear Energy (CNEN), as the Brazilian nuclear regulatory authority. These activities are described, especially those related to management of orphan sources and radioactive material in scrap metal considering the actions already put into place by CNEN during the licensing and controlling of radioactive sources in the industry and other facilities. In Brazil, there is not yet an effective system for controlling the scrap metal and recycling industry, thus a coordinated approach to achieve a harmonized and effective response with the involvement of third parties is needed, especially the metal industries and ores facilities. These practices call for stringent regulatory control, in order to reduce the occurrence of orphan sources, and consequently, radioactive material appearing in scrap metal. Some challenges of managing the national radiation sources register systems will be discussed, in order to cover effectively all the radiation source history (in a 'from the cradle to the grave' basis), and the dynamic maintenance and update of these data. The main industrial applications considered in this work are those dealing with constant movement of sources all over the country, with geographical issues to be considered in the managing and controlling actions, such as gammagraphy and well-logging. This study aims to identify and promote good practices to prevent inadvertent diversion of radioactive material, taking into account existing international recommendations and some lessons learned in national level. (author)

  13. The regulatory control over radiation sources: the Brazilian experience and some lessons learned from industrial applications

    Energy Technology Data Exchange (ETDEWEB)

    Costa, E.L.C.; Gomes, J.D.R.L.; Gomes, R.S.; Costa, M.L.L.; Thomé, Z.D., E-mail: evaldo@cnen.gov.br, E-mail: jlopes@cnen.gov.br, E-mail: rogeriog@cnen.gov.br, E-mail: mara@cnen.gov.br, E-mail: zielithome@gmail.com [Comissao Nacional de Energia Nuclear (CNEN), Rio de Janeiro, RJ (Brazil). Diretoria de Radioproteção e Segurança Nuclear; Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil). Seção de Engenharia Nuclear

    2017-11-01

    This study gives an overview of the activities of the National Commission of Nuclear Energy (CNEN), as the Brazilian nuclear regulatory authority. These activities are described, especially those related to management of orphan sources and radioactive material in scrap metal considering the actions already put into place by CNEN during the licensing and controlling of radioactive sources in the industry and other facilities. In Brazil, there is not yet an effective system for controlling the scrap metal and recycling industry, thus a coordinated approach to achieve a harmonized and effective response with the involvement of third parties is needed, especially the metal industries and ores facilities. These practices call for stringent regulatory control, in order to reduce the occurrence of orphan sources, and consequently, radioactive material appearing in scrap metal. Some challenges of managing the national radiation sources register systems will be discussed, in order to cover effectively all the radiation source history (in a 'from the cradle to the grave' basis), and the dynamic maintenance and update of these data. The main industrial applications considered in this work are those dealing with constant movement of sources all over the country, with geographical issues to be considered in the managing and controlling actions, such as gammagraphy and well-logging. This study aims to identify and promote good practices to prevent inadvertent diversion of radioactive material, taking into account existing international recommendations and some lessons learned in national level. (author)

  14. Collaborative Autonomous English Language Learning in CALL

    OpenAIRE

    Alghammas, Abdurrazzag

    2010-01-01

    The explosive growth of technology has affected almost all cities and villages around the globe. This century might be deemed to be the era of technology. Computers were amazing key technological invention of the 20st century and were first used for military purposes many years ago in both America and Britain. Now that we are living in a technological village, each successive generation is more dependent on technology. There is at least one computer and one mobile phone in most homes and it i...

  15. Brief Overview of Motor Learning and It's Application to Rehabilitation: Part Ⅰ: Motor Learning Theory

    Institute of Scientific and Technical Information of China (English)

    Christopher A Zaino

    2003-01-01

    @@ 1 DEFINITION OF MOTOR LEARNING Motor learning is the study of how we acquire and modify movements.1 The acquisition of motor skills is the process of learning how to do a particular movement (performance), but the real key to therapeutic intervention is being able to affect permanent changes in motor skills via the process of motor learning. Therefore, motor learning is defined as the ability to retain the ability to perform a motor task at a later time. In rehabilitation, it is important to be cognizant of the concepts of acquisition and retention. We can facilitate acquisition,but do little to assist in the retention of the task (learning). Conversely, we can arrange practice such that acquisition is slowed, but we can actually be assisting learning the task. It is important to have a clear goal in mind and work towards the eventual learning of the task to allow full functional use of that skill.

  16. QoS Adaptation in Multimedia Multicast Conference Applications for E-Learning Services

    Science.gov (United States)

    Deusdado, Sérgio; Carvalho, Paulo

    2006-01-01

    The evolution of the World Wide Web service has incorporated new distributed multimedia conference applications, powering a new generation of e-learning development and allowing improved interactivity and prohuman relations. Groupware applications are increasingly representative in the Internet home applications market, however, the Quality of…

  17. CALL in the Year 2000: A Look Back from 2016

    Science.gov (United States)

    Chapelle, Carol A.

    2016-01-01

    This commentary offers a brief reflection on the state of CALL in 1997, when "Language Learning & Technology" was launched with my paper entitled "CALL in the year 2000: Still in search of research paradigms?" The point of my 1997 paper was to suggest the potential value of research on second language learning for the study…

  18. Impact of Using CALL on Iranian EFL Learners' Vocabulary Knowledge

    Science.gov (United States)

    Yunus, Melor Md; Salehi, Hadi; Amini, Mahdi

    2016-01-01

    Computer Assisted Language Learning (CALL) integration in EFL contexts has intensified noticeably in recent years. This integration might be in different ways and for different purposes such as vocabulary acquisition, grammar learning, phonology, writing skills, etc. More explicitly, this study is an attempt to explore the effect of using CALL on…

  19. MEDICAL SERVICE - URGENT CALLS

    CERN Multimedia

    Service Médical

    2000-01-01

    IN URGENT NEED OF A DOCTOR GENEVA: EMERGENCY SERVICES GENEVA AND VAUD 144 FIRE BRIGADE 118 POLICE 117 CERN FIREMEN 767-44-44 ANTI-POISONS CENTRE Open 24h/24h 01-251-51-51 Patient not fit to be moved, call family doctor, or: GP AT HOME: Open 24h/24h 748-49-50 AMG- Association Of Geneva Doctors: Emergency Doctors at home 07h-23h 322 20 20 Patient fit to be moved: HOPITAL CANTONAL CENTRAL 24 Micheli-du-Crest 372-33-11 ou 382-33-11 EMERGENCIES 382-33-11 ou 372-33-11 CHILDREN'S HOSPITAL 6 rue Willy-Donzé 372-33-11 MATERNITY 32 bvd.de la Cluse 382-68-16 ou 382-33-11 OPHTHALMOLOGY 22 Alcide Jentzer 382-33-11 ou 372-33-11 MEDICAL CENTRE CORNAVIN 1-3 rue du Jura 345 45 50 HOPITAL DE LA TOUR Meyrin 719-61-11 EMERGENCIES 719-61-11 CHILDREN'S EMERGENCIES 719-61-00 LA TOUR MEDICAL CENTRE 719-74-00 European Emergency Call 112   FRANCE: EMERGENCY SERVICES 15 FIRE BRIGADE 18 POLICE 17 CERN FIREMEN AT HOME 00-41-22-767-44-44 ...

  20. Call for volunteers

    CERN Document Server

    2008-01-01

    CERN is calling for volunteers from all members of the Laboratory for organizing the two exceptional Open days.CERN is calling for volunteers from all members of the Laboratory’s personnel to help with the organisation of these two exceptional Open Days, for the visits of CERN personnel and their families on the Saturday and above all for the major public Open Day on the Sunday. As for the 50th anniversary in 2004, the success of the Open Days will depend on a large number of volunteers. All those working for CERN as well as retired members of the personnel can contribute to making this event a success. Many guides will be needed at the LHC points, for the activities at the surface and to man the reception and information points. The aim of these major Open Days is to give the local populations the opportunity to discover the fruits of almost 20 years of work carried out at CERN. We are hoping for some 2000 volunteers for the two Open Days, on the Saturday from 9 a.m. to ...

  1. Non-Formal Learning: Clarification of the Concept and Its Application in Music Learning

    Science.gov (United States)

    Mok, On Nei Annie

    2011-01-01

    The concept of non-formal learning, which falls outside the categories of informal and formal learning, has not been as widely discussed, especially in the music education literature. In order to bridge this gap and to provide supplementary framework to the discussion of informal and formal learning, therefore, this paper will first summarize…

  2. Don't Call It School

    Science.gov (United States)

    Robb, Daniel

    2006-01-01

    "Homeschooling," "deschooling," and "unschooling" are commonly used terms in the alternative-education world, but each lacks specificity. In this article, the author describes what he discovered during several visits to North Star. Known officially as North Star: Self-Directed Learning for Teens, it is not as structured as a so-called "free"…

  3. The use of plant models in deep learning: an application to leaf counting in rosette plants

    OpenAIRE

    Ubbens, Jordan; Cieslak, Mikolaj; Prusinkiewicz, Przemyslaw; Stavness, Ian

    2018-01-01

    Deep learning presents many opportunities for image-based plant phenotyping. Here we consider the capability of deep convolutional neural networks to perform the leaf counting task. Deep learning techniques typically require large and diverse datasets to learn generalizable models without providing a priori an engineered algorithm for performing the task. This requirement is challenging, however, for applications in the plant phenotyping field, where available datasets are often small and the...

  4. Call 1 FAQ (ENG)

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

    Francine Sinzinkayo

    activities (including monitoring, reporting, communication, etc.). ... dependencies on the work being funded from other sources that could result in the LVIF work failing if there ... How long does it take to complete the online application form?

  5. Recommender Systems for Technology Enhanced Learning: Research Trends & Applications

    NARCIS (Netherlands)

    Manouselis, Nikos; Verbert, Katrien; Drachsler, Hendrik; Santos, Olga

    2014-01-01

    As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted

  6. Strategies for application of learning theories in art studio practices ...

    African Journals Online (AJOL)

    This study highlights the link between learning theories and art studio practices. The paper is of the opinion that if these theories are critically understood and applied to the practical aspect of fine and applied arts then learning will be more functional. Nigerian Journal of Technology and Education in Nigeria Vol. 8(1) 2003: ...

  7. Applications of Task-Based Learning in TESOL

    Science.gov (United States)

    Shehadeh, Ali, Ed.; Coombe, Christine, Ed.

    2010-01-01

    Why are many teachers around the world moving toward task-based learning (TBL)? This shift is based on the strong belief that TBL facilitates second language acquisition and makes second language learning and teaching more principled and effective. Based on insights gained from using tasks as research tools, this volume shows how teachers can use…

  8. Supporting Alternative Strategies for Learning Chemical Applications of Group Theory

    Science.gov (United States)

    Southam, Daniel C.; Lewis, Jennifer E.

    2013-01-01

    A group theory course for chemists was taught entirely with process oriented guided inquiry learning (POGIL) to facilitate alternative strategies for learning. Students completed a test of one aspect of visuospatial aptitude to determine their individual approaches to solving spatial tasks, and were sorted into groups for analysis on the basis of…

  9. Applications of Andragogy in Multi-Disciplined Teaching and Learning

    Science.gov (United States)

    Chan, Sang

    2010-01-01

    Arguments regarding the distinction between child and adult learning have existed for decades. Pedagogy has a long tradition of providing educational guidance in which there is little differentiation between child and adult education. The two groups of learners are assumed to learn under the same philosophy. Conversely, andragogy, advanced by…

  10. A Learning Management System Enhanced with Internet of Things Applications

    Science.gov (United States)

    Mershad, Khaleel; Wakim, Pilar

    2018-01-01

    A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. Since the appearance of the first LMS, major technological enhancements transformed this tool into a powerful…

  11. Applications of operant learning theory to the management of challenging behavior after traumatic brain injury.

    Science.gov (United States)

    Wood, Rodger Ll; Alderman, Nick

    2011-01-01

    For more than 3 decades, interventions derived from learning theory have been delivered within a neurobehavioral framework to manage challenging behavior after traumatic brain injury with the aim of promoting engagement in the rehabilitation process and ameliorating social handicap. Learning theory provides a conceptual structure that facilitates our ability to understand the relationship between challenging behavior and environmental contingencies, while accommodating the constraints upon learning imposed by impaired cognition. Interventions derived from operant learning theory have most frequently been described in the literature because this method of associational learning provides good evidence for the effectiveness of differential reinforcement methods. This article therefore examines the efficacy of applying operant learning theory to manage challenging behavior after TBI as well as some of the limitations of this approach. Future developments in the application of learning theory are also considered.

  12. Knowledge Representation and Reasoning in Personalized Web-Based e-Learning Applications

    DEFF Research Database (Denmark)

    Dolog, Peter

    2006-01-01

    a user inferred from user interactions with the eLeanrning systems is used to adapt o®ered learning resources and guide a learner through them. This keynote gives an overview about knowledge and rules taken into account in current adaptive eLearning prototypes when adapting learning instructions....... Adaptation is usually based on knowledge about learning esources and users. Rules are used for heuristics to match the learning resources with learners and infer adaptation decisions.......Adaptation that is so natural for teaching by humans is a challenging issue for electronic learning tools. Adaptation in classic teaching is based on observations made about students during teaching. Similar idea was employed in user-adapted (personalized) eLearning applications. Knowledge about...

  13. Rethinking the lecture: the application of problem based learning methods to atypical contexts.

    Science.gov (United States)

    Rogal, Sonya M M; Snider, Paul D

    2008-05-01

    Problem based learning is a teaching and learning strategy that uses a problematic stimulus as a means of motivating and directing students to develop and acquire knowledge. Problem based learning is a strategy that is typically used with small groups attending a series of sessions. This article describes the principles of problem based learning and its application in atypical contexts; large groups attending discrete, stand-alone sessions. The principles of problem based learning are based on Socratic teaching, constructivism and group facilitation. To demonstrate the application of problem based learning in an atypical setting, this article focuses on the graduate nurse intake from a teaching hospital. The groups are relatively large and meet for single day sessions. The modified applications of problem based learning to meet the needs of atypical groups are described. This article contains a step by step guide of constructing a problem based learning package for large, single session groups. Nurse educators facing similar groups will find they can modify problem based learning to suit their teaching context.

  14. Participant Comfort with and Application of Inquiry-Based Learning: Results from 4-H Volunteer Training

    Science.gov (United States)

    Haugen, Heidi; Stevenson, Anne; Meyer, Rebecca L.

    2016-01-01

    This article explores how a one-time training designed to support learning transfer affected 4-H volunteers' comfort levels with the training content and how comfort levels, in turn, affected the volunteers' application of tools and techniques learned during the training. Results of a follow-up survey suggest that the training participants…

  15. Adapting Team-Based Learning for Application in the Basic Electric Circuit Theory Sequence

    Science.gov (United States)

    O'Connell, Robert M.

    2015-01-01

    Team-based learning (TBL) is a form of student-centered active learning in which students independently study new conceptual material before it is treated in the classroom, and then subsequently spend considerable classroom time working in groups on increasingly challenging problems and applications based on that new material. TBL provides…

  16. The Views of Undergraduates about Problem-Based Learning Applications in a Biochemistry Course

    Science.gov (United States)

    Tarhan, Leman; Ayyildiz, Yildizay

    2015-01-01

    The effect of problem-based learning (PBL) applications in an undergraduate biochemistry course on students' interest in this course was investigated through four modules during one semester. Students' views about active learning and improvement in social skills were also collected and evaluated. We conducted the study with 36 senior students from…

  17. Application of the Classification Tree Model in Predicting Learner Dropout Behaviour in Open and Distance Learning

    Science.gov (United States)

    Yasmin, Dr.

    2013-01-01

    This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…

  18. A Comparative Study of the Application of Learning Theories as Perceived by Faculty and Students.

    Science.gov (United States)

    Bennett, Lula M.

    To test the similarity of student and instructor perceptions of the learning approaches used by particular instructors in the classroom, teachers and students (n=138) of ten social science classes at Valencia Community College (Florida) responded to a questionnaire. Items tested the instructors' application of the learning theories of Pavlov,…

  19. Mobile Learning Application Interfaces: First Steps to a Cognitive Load Aware System

    Science.gov (United States)

    Deegan, Robin

    2013-01-01

    Mobile learning is a cognitively demanding application and more frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the nature of this use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where…

  20. The use of mobile learning application to the fundament of digital electronics course

    Science.gov (United States)

    Rakhmawati, L.; Firdha, A.

    2018-01-01

    A new trend in e-learning is known as Mobile Learning. Learning through mobile phones have become part of the educative process. Thus, the purposes of this study are to develop a mobile application for the Fundament of Digital Electronics course that consists of number systems operation, logic gates, and Boolean Algebra, and to assess the readiness, perceptions, and effectiveness of students in the use of mobile devices for learning in the classroom. This research uses Research and Development (R&D) method. The design used in this research, by doing treatment in one class and observing by using Android-based mobile application instructional media. The result obtained from this research shows that the test has 80 % validity aspect, 82 % of the user from senior high school students gives a positive response in using the application of mobile learning, and based on the result of post-test, 90, 90% students passed the exam. At last, it can be concluded that the use of the mobile learning application makes the learning process more effective when it is used in the teaching-learning process.

  1. "Knowing Is Not Enough; We Must Apply": Reflections on a Failed Action Learning Application

    Science.gov (United States)

    Reese, Simon

    2015-01-01

    This paper reflects upon a sub-optimal action learning application with a strategic business re-design project. The objective of the project was to improve the long-term business performance of a subsidiary business and build the strategic plan. Action learning was introduced to aid the group in expanding their view of the real problems…

  2. "UML Quiz": Automatic Conversion of Web-Based E-Learning Content in Mobile Applications

    Science.gov (United States)

    von Franqué, Alexander; Tellioglu, Hilda

    2014-01-01

    Many educational institutions use Learning Management Systems to provide e-learning content to their students. This often includes quizzes that can help students to prepare for exams. However, the content is usually web-optimized and not very usable on mobile devices. In this work a native mobile application ("UML Quiz") that imports…

  3. Gender Divide and Acceptance of Collaborative Web 2.0 Applications for Learning in Higher Education

    Science.gov (United States)

    Huang, Wen-Hao David; Hood, Denice Ward; Yoo, Sun Joo

    2013-01-01

    Situated in the gender digital divide framework, this survey study investigated the role of computer anxiety in influencing female college students' perceptions toward Web 2.0 applications for learning. Based on 432 college students' "Web 2.0 for learning" perception ratings collected by relevant categories of "Unified Theory of Acceptance and Use…

  4. Investigating the Use of a Smartphone Social Networking Application on Language Learning

    Science.gov (United States)

    Sung, Ko-Yin; Poole, Frederick

    2017-01-01

    This study explored college students' use of a popular smartphone social networking application, WeChat, in a tandem language learning project. The research questions included (1) How do Chinese-English dyads utilize the WeChat app for weekly language learning?, and (2) What are the perceptions of the Chinese-English dyads on the use of the WeChat…

  5. Designing Applications for Physics Learning: Facilitating High School Students' Conceptual Understanding by Using Tablet PCs

    Science.gov (United States)

    Wang, June-Yi; Wu, Hsin-Kai; Chien, Sung-Pei; Hwang, Fu-Kwun; Hsu, Ying-Shao

    2015-01-01

    So far relatively little research in education has explored the pedagogical and learning potentials of applications (Apps) on tablet PCs (TPCs). Drawing upon research on learning technologies and taking an embodied perspective, this study first identified educational functionalities of TPCs and generated guidelines to design educational Apps for…

  6. Usability of English Note-Taking Applications in a Foreign Language Learning Context

    Science.gov (United States)

    Roy, Debopriyo; Brine, John; Murasawa, Fuyuki

    2016-01-01

    The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…

  7. Incentive structure in team-based learning: graded versus ungraded Group Application exercises

    Directory of Open Access Journals (Sweden)

    Adam S Deardorff

    2014-04-01

    Conclusion: The use of ungraded Group Application exercises appears to be a successful modification of TBL, making it more “student-friendly” while maintaining the goals of active learning and development of teamwork skills.

  8. Application of Computer-Assisted Learning Methods in the Teaching of Chemical Spectroscopy.

    Science.gov (United States)

    Ayscough, P. B.; And Others

    1979-01-01

    Discusses the application of computer-assisted learning methods to the interpretation of infrared, nuclear magnetic resonance, and mass spectra; and outlines extensions into the area of integrated spectroscopy. (Author/CMV)

  9. MACHINE LEARNING FOR THE SELF-ORGANIZATION OF DISTRIBUTED SYSTEMS IN ECONOMIC APPLICATIONS

    Directory of Open Access Journals (Sweden)

    Jerzy Balicki

    2017-03-01

    Full Text Available In this paper, an application of machine learning to the problem of self-organization of distributed systems has been discussed with regard to economic applications, with particular emphasis on supervised neural network learning to predict stock investments and some ratings of companies. In addition, genetic programming can play an important role in the preparation and testing of several financial information systems. For this reason, machine learning applications have been discussed because some software applications can be automatically constructed by genetic programming. To obtain a competitive advantage, machine learning can be used for the management of self-organizing cloud computing systems performing calculations for business. Also the use of selected economic self-organizing distributed systems has been described, including some testing methods of predicting borrower reliability. Finally, some conclusions and directions for further research have been proposed.

  10. Blended call center with idling times during the call service

    NARCIS (Netherlands)

    Legros, Benjamin; Jouini, Oualid; Koole, Ger

    We consider a blended call center with calls arriving over time and an infinitely backlogged amount of outbound jobs. Inbound calls have a non-preemptive priority over outbound jobs. The inbound call service is characterized by three successive stages where the second one is a break; i.e., there is

  11. Teaching and Learning Numerical Analysis and Optimization: A Didactic Framework and Applications of Inquiry-Based Learning

    Science.gov (United States)

    Lappas, Pantelis Z.; Kritikos, Manolis N.

    2018-01-01

    The main objective of this paper is to propose a didactic framework for teaching Applied Mathematics in higher education. After describing the structure of the framework, several applications of inquiry-based learning in teaching numerical analysis and optimization are provided to illustrate the potential of the proposed framework. The framework…

  12. [Deep learning and neuronal networks in ophthalmology : Applications in the field of optical coherence tomography].

    Science.gov (United States)

    Treder, M; Eter, N

    2018-04-19

    Deep learning is increasingly becoming the focus of various imaging methods in medicine. Due to the large number of different imaging modalities, ophthalmology is particularly suitable for this field of application. This article gives a general overview on the topic of deep learning and its current applications in the field of optical coherence tomography. For the benefit of the reader it focuses on the clinical rather than the technical aspects.

  13. Gaze Awareness in Agent-Based Early-Childhood Learning Application

    OpenAIRE

    Akkil , Deepak; Dey , Prasenjit; Salian , Deepshika; Rajput , Nitendra

    2017-01-01

    Part 6: Interaction with Children; International audience; Use of technological devices for early childhood learning is increasing. Now, kindergarten and primary school children use interactive applications on mobile phones and tablet computers to support and complement classroom learning. With increase in cognitive technologies, there is further potential to make such applications more engaging by understanding the user context. In this paper, we present the Little Bear, a gaze aware pedagog...

  14. Sparse representation, modeling and learning in visual recognition theory, algorithms and applications

    CERN Document Server

    Cheng, Hong

    2015-01-01

    This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: provides a thorough introduction to the fundamentals of sparse representation, modeling and learning, and the application of these techniques in visual recognition; describes sparse recovery approaches, robust and efficient sparse represen

  15. The learning styles of orthopedic residents, faculty, and applicants at an academic program.

    Science.gov (United States)

    Richard, Raveesh Daniel; Deegan, Brian Francis; Klena, Joel Christian

    2014-01-01

    To train surgeons effectively, it is important to understand how they are learning. The Kolb Learning Style Inventory (LSI) is based on the theory of experiential learning, which divides the learning cycle into 4 stages: active experimentation (AE), abstract conceptualization (AC), concrete experience, and reflective observation. The purpose of this investigation was to assess the learning styles of orthopedic residents, faculty, and applicants at an east-coast residency program. A total of 90 Kolb LSI, Version 3.1 surveys, and demographic questionnaires were distributed to all residency applicants, residents, and faculty at an academic program. Data collected included age, sex, type of medical school (MD or DO), foreign medical graduate status, and either year since college graduation, postgraduate year level (residents only), or years since completion of residency (faculty only). Seventy-one completed Kolb LSI surveys (14 residents, 14 faculty members, and 43 applicants) were recorded and analyzed for statistical significance. The most prevalent learning style among all participants was converging (53.5%), followed by accommodating (18.3%), diverging (18.3%), and assimilating (9.9%) (p = 0.13). The applicant and resident groups demonstrated a high tendency toward AE followed by AC. The faculty group demonstrated a high tendency toward AC followed by AE. None of the 24 subjects who were 26 years or under had assimilating learning styles, in significant contrast to the 12% of 27- to 30-year-olds and 18% of 31 and older group (p learning style involves problem solving and decision making, with the practical application of ideas and the use of hypothetical-deductive reasoning. Learning through AE decreased with age, whereas learning through AC increased. Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  16. Call 1 FAQ (ENG)

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

    Francine Sinzinkayo

    teams to develop a vaccine that is superior to a current one. Examples of ... activities (including monitoring, reporting, communication, etc.). Third party ... dependencies on the work being funded from other sources that could result in the LVIF work failing if ... How long does it take to complete the online application form?

  17. Integrating Collaborative and Decentralized Models to Support Ubiquitous Learning

    Science.gov (United States)

    Barbosa, Jorge Luis Victória; Barbosa, Débora Nice Ferrari; Rigo, Sandro José; de Oliveira, Jezer Machado; Rabello, Solon Andrade, Jr.

    2014-01-01

    The application of ubiquitous technologies in the improvement of education strategies is called Ubiquitous Learning. This article proposes the integration between two models dedicated to support ubiquitous learning environments, called Global and CoolEdu. CoolEdu is a generic collaboration model for decentralized environments. Global is an…

  18. E-learning paradigms and applications agent-based approach

    CERN Document Server

    Jain, Lakhmi

    2014-01-01

    Teaching and learning paradigms have attracted increased attention especially in the last decade. Immense developments of different ICT technologies and services have paved the way for alternative but effective approaches in educational processes. Many concepts of the agent technology, such as intelligence, autonomy, and cooperation, have had a direct positive impact on many of the requests imposed on modern e-learning systems and educational processes. This book presents the state-of-the-art of e-learning and tutoring systems, and discusses their capabilities and benefits that stem from integrating software agents. We hope that the presented work will be of a great use to our colleagues and researchers interested in the e-learning and agent technology.    

  19. DEVELOPING GUIDED DISCOVERY LEARNING MATERIALS USING MATHEMATICS MOBILE LEARNING APPLICATION AS AN ALTERNATIVE MEDIA FOR THE STUDENTS CALCULUS II

    Directory of Open Access Journals (Sweden)

    Sunismi .

    2015-12-01

    Full Text Available Abstract: The development research aims to develop guided-discovery learning materials of Calculus II by implementing Mathematics Mobile Learning (MML. The products to develop are MML media of Calculus II using guided discovery model for students and a guide book for lecturers. The study employed used 4-D development model consisting of define, design, develop, and disseminate. The draft of the learning materials was validated by experts and tried-out to a group of students. The data were analyzed qualitatively and quantitatively by using a descriptive technique and t-test. The findings of the research were appropriate to be used ad teaching media for the students. The students responded positively that the MML media of Calculus II using the guided-discovery model was interestingly structured, easily operated through handphones (all JAVA, android, and blackberry-based handphones to be used as their learning guide anytime. The result of the field testing showed that the guided-discovery learning materials of Calculus II using the Mathematics Mobile Learning (MML application was effective to adopt in learning Calculus II. Keywords: learning materials, guided-discovery, mathematics mobile learning (MML, calculus II PENGEMBANGAN BAHAN AJAR MODEL GUIDED DISCOVERY DENGAN APLIKASI MATHEMATICS MOBILE LEARNING SEBAGAI ALTERNATIF MEDIA PEMBELAJARAN MAHASISWA MATAKULIAH KALKULUS II Abstrak: Penelitian pengembangan ini bertujuan untuk mengembangkan bahan ajar matakuliah Kalkulus II model guided discovery dengan aplikasi Mathematics Mobile Learning (MML. Produk yang dikembangkan berupa media MML Kalkulus II dengan model guided discovery untuk mahasiswa dan buku panduan dosen. Model pengembangan menggunakan 4-D yang meliputi tahap define, design, develop, dan dissemination. Draf bahan ajar divalidasi oleh pakar dan diujicobakan kepada sejumlah mahasiswa. Data dianalisis secara kualitatif dan kuantitatif dengan teknik deskriptif dan uji t. Temuan penelitian

  20. Inductive Learning and Theory Testing: Applications in Finance

    OpenAIRE

    Zimmermann, Tom

    2015-01-01

    This thesis explores the opportunities for economic research that arise from importing empirical methods from the field of machine learning. Chapter 1 applies inductive learning to cross-sectional asset pricing. Researchers have documented over three hundred variables that can explain differences in cross-sectional stock returns. But which ones contain independent information? Chapter 1 develops a framework, deep conditional portfolio sorts, that can be used to answer this question and th...

  1. Online Experiential Learning: Effective Applications for Geoscience Education

    Science.gov (United States)

    Matias, A.; Eriksson, S. C.

    2015-12-01

    Students today are rarely satisfied with a one-size-fits-all educational experience. The rapid changing landscape of the web and other technologies are breaking down communicationand geographic barries. More students are increasingly turning to the web for quality education that fits into their lives. As a result, higher education institutions are expanding their offerings through online courses. Nonetheless, online learning brings challenges as well as a fresh opportunityfor exploring practices not present in traditional higher education programs, particularly in the sciences. We are in a unique position to empower students to make strategic academic and professional decisions in global terms. Online learning, supportedwith hands-on and minds-on activities, actively engages student with critical thinking skills and higher level learning. This presentation will showcase examples from a series of geoscience and environmental science courses currently offered fully online at SUNY Empire State College (ESC). Taking advantage of the proliferation of tools currently available for online learning management systems, we will explore how we approach course developent to create an interactive learning environment. Students learn through case studies, group projects and understanding real-world issues while learning concepts. Particular focus will be given to an international collaboration with the Tecnologico de Monterrey, Chihuahua Campus. This collaboration took place during the Spring of 2015 with students from the fully-online, lower-level Geology and the Environment course at ESC and the upper-level, face-to-face Mobile Programming course in Mexico. Ultimately, the goal of this presentation is to show faculty members and afministrators the pedagogical principles and approach used with the expectation that it could help support development of online learning opportunities at their institutions.

  2. Machine learning application in the life time of materials

    OpenAIRE

    Yu, Xiaojiao

    2017-01-01

    Materials design and development typically takes several decades from the initial discovery to commercialization with the traditional trial and error development approach. With the accumulation of data from both experimental and computational results, data based machine learning becomes an emerging field in materials discovery, design and property prediction. This manuscript reviews the history of materials science as a disciplinary the most common machine learning method used in materials sc...

  3. Applications of learning based systems at AREVA group

    International Nuclear Information System (INIS)

    Jeanmart, F.; Leclerc, C.

    2006-01-01

    As part of its work on advanced information systems, AREVA is exploring the use of computerized tools based on 'machine learning' techniques. Some of these studies are being carried out by EURIWARE - continuing on from previous work done by AREVA NC - focused on the supervision of complex systems. Systems based on machine learning techniques are one of the possible solutions being investigated by AREVA: knowing that the stakes are high and involve better anticipation and control and high financial considerations. (authors)

  4. Application of artificial neural network with extreme learning machine for economic growth estimation

    Science.gov (United States)

    Milačić, Ljubiša; Jović, Srđan; Vujović, Tanja; Miljković, Jovica

    2017-01-01

    The purpose of this research is to develop and apply the artificial neural network (ANN) with extreme learning machine (ELM) to forecast gross domestic product (GDP) growth rate. The economic growth forecasting was analyzed based on agriculture, manufacturing, industry and services value added in GDP. The results were compared with ANN with back propagation (BP) learning approach since BP could be considered as conventional learning methodology. The reliability of the computational models was accessed based on simulation results and using several statistical indicators. Based on results, it was shown that ANN with ELM learning methodology can be applied effectively in applications of GDP forecasting.

  5. Creating the learning situation to promote student deep learning: Data analysis and application case

    Science.gov (United States)

    Guo, Yuanyuan; Wu, Shaoyan

    2017-05-01

    How to lead students to deeper learning and cultivate engineering innovative talents need to be studied for higher engineering education. In this study, through the survey data analysis and theoretical research, we discuss the correlation of teaching methods, learning motivation, and learning methods. In this research, we find that students have different motivation orientation according to the perception of teaching methods in the process of engineering education, and this affects their choice of learning methods. As a result, creating situations is critical to lead students to deeper learning. Finally, we analyze the process of learning situational creation in the teaching process of «bidding and contract management workshops». In this creation process, teachers use the student-centered teaching to lead students to deeper study. Through the study of influence factors of deep learning process, and building the teaching situation for the purpose of promoting deep learning, this thesis provide a meaningful reference for enhancing students' learning quality, teachers' teaching quality and the quality of innovation talent.

  6. Machine Learning Identification of Protein Properties Useful for Specific Applications

    KAUST Repository

    Khamis, Abdullah

    2016-03-31

    Proteins play critical roles in cellular processes of living organisms. It is therefore important to identify and characterize their key properties associated with their functions. Correlating protein’s structural, sequence and physicochemical properties of its amino acids (aa) with protein functions could identify some of the critical factors governing the specific functionality. We point out that not all functions of even well studied proteins are known. This, complemented by the huge increase in the number of newly discovered and predicted proteins, makes challenging the experimental characterization of the whole spectrum of possible protein functions for all proteins of interest. Consequently, the use of computational methods has become more attractive. Here we address two questions. The first one is how to use protein aa sequence and physicochemical properties to characterize a family of proteins. The second one focuses on how to use transcription factor (TF) protein’s domains to enhance accuracy of predicting TF DNA binding sites (TFBSs). To address the first question, we developed a novel method using computational representation of proteins based on characteristics of different protein regions (N-terminal, M-region and C-terminal) and combined these with the properties of protein aa sequences. We show that this description provides important biological insight about characterization of the protein functional groups. Using feature selection techniques, we identified key properties of proteins that allow for very accurate characterization of different protein families. We demonstrated efficiency of our method in application to a number of antimicrobial peptide families. To address the second question we developed another novel method that uses a combination of aa properties of DNA binding domains of TFs and their TFBS properties to develop machine learning models for predicting TFBSs. Feature selection is used to identify the most relevant characteristics

  7. Adaptive Load Balancing of Parallel Applications with Multi-Agent Reinforcement Learning on Heterogeneous Systems

    Directory of Open Access Journals (Sweden)

    Johan Parent

    2004-01-01

    Full Text Available We report on the improvements that can be achieved by applying machine learning techniques, in particular reinforcement learning, for the dynamic load balancing of parallel applications. The applications being considered in this paper are coarse grain data intensive applications. Such applications put high pressure on the interconnect of the hardware. Synchronization and load balancing in complex, heterogeneous networks need fast, flexible, adaptive load balancing algorithms. Viewing a parallel application as a one-state coordination game in the framework of multi-agent reinforcement learning, and by using a recently introduced multi-agent exploration technique, we are able to improve upon the classic job farming approach. The improvements are achieved with limited computation and communication overhead.

  8. The Usefulness and Ease of Use of a Mobile Simulation Application for Learning of ERP Systems

    Directory of Open Access Journals (Sweden)

    Brenda Scholtz

    2017-10-01

    Full Text Available The hands-on use of complex, industrial Enterprise Resource Planning (ERP systems in educational contexts can be costly and complex. Tools that simulate the hands-on use of an ERP system have been proposed as alternatives. Research into the perceived usefulness (PU and perceived ease of use (PEOU of these simulation tools in an m-learning environment is limited. As part of this study, an m-learning simulation application (SYSPRO Latte was designed based on experiential learning theory and on a previously proposed theoretical framework for m-learning. The application simulates the hands-on experience of an ERP system. The purpose of this paper is to analyse the results of a study of 49 students who used SYSPRO Latte and completed a questionnaire on its PEOU and PU. The results revealed that students perceived SYSPRO Latte to be easy to use and useful, and verified other studies identifying a correlation between PEOU and PU. The study also confirmed the benefits of simulation-based learning and m-learning particularly for content presentation. The importance of considering design principles for m-learning applications was highlighted. This study is part of a larger, comprehensive research project that aims at improving learning of ERP systems in higher education.

  9. Importance and difficulties of cooperative learning application in class teaching from teachers' perspective

    Directory of Open Access Journals (Sweden)

    Ilić Marina Ž.

    2016-01-01

    Full Text Available Based on previous knowledge of cooperative learning two approaches stand out in researching the importance of cooperative learning: a the first approach tries to examine the effects, conditions and mechanisms by which educational outcomes are realized in the application of cooperative learning; and b the second approach moves the focus towards attitudes and perceptions of teachers and students on the relevance of cooperative learning. By applying descriptive-analytical technique we conducted a research aimed at examining the opinions of teachers (N=305 about the importance and difficulties in application of cooperative learning in the context of class teaching. The results show that the teachers had positive attitudes towards the importance of cooperative learning for reaching various educational goals and socio-affective and cognitive development of students. It turned out that the opinions of the teachers were not determined by the level of their education or work experience. Additionally, it turned out that the teachers' opinions about the difficulties of application in class are due more to work organization and were not assessed from the aspect of knowledge, attitudes and convictions of the participants in the teaching process. The obtained results, although generally encouraging for teaching practice indicate a need for further advancement of this segment of the teacher's work in order to understand better the value of cooperative learning and consider more critically the difficulties for its application in classroom.

  10. Applications of Augmented Reality in Informal Science Learning Sites: a Review

    Science.gov (United States)

    Goff, Eric E.; Mulvey, Kelly Lynn; Irvin, Matthew J.; Hartstone-Rose, Adam

    2018-05-01

    The importance of increasing interest in the STEM disciplines has been noted in a number of recent national reports. While many previous studies have focused on such efforts inside of the formal classroom, comparatively few have looked closely at informal learning environments. We investigate the innovative use of technology in informal learning by reviewing research on the incorporation of augmented reality (AR) at exhibit-based informal science education (ISE) settings in the literature. We report on the common STEM-focused topics that are covered by current AR applications for ISE learning, as well as the different devices used to support these applications. Additionally, we report on the prevalence of positive learning outcomes and engagement factors commonly associated with the use AR applications in informal environments. This review aims to foster continued development and implementation of AR technology in exhibit-based ISE settings by informing the community of recent findings and promoting additional rigorous research for the future.

  11. Application of Ausubel's Theory of Meaningful Verbal Learning to Curriculum, Teaching and Learning of Deaf Students.

    Science.gov (United States)

    Biser, Eileen

    Implications of D. Ausubel's Theory of Meaningful Verbal Learning and its derivative, the Advance Organizer Model of Teaching, for deaf students are examined. Ausubel believes that complex intellectual processes (thinking, language, problem-solving, concept formation) are the major aspects of learning, and that primary emphasis should be placed on…

  12. Student Teachers and CALL: Personal and Pedagogical Uses and Beliefs

    Science.gov (United States)

    Hlas, Anne Cummings; Conroy, Kelly; Hildebrandt, Susan A.

    2017-01-01

    The student teaching semester affords teacher candidates the chance to apply what they have learned during their teacher preparation coursework. Therefore, it can be a prime opportunity for student teachers to use technology for their own language learning and to implement computer assisted language learning (CALL) in their instruction. This study…

  13. Performance analysis of CRF-based learning for processing WoT application requests expressed in natural language.

    Science.gov (United States)

    Yoon, Young

    2016-01-01

    In this paper, we investigate the effectiveness of a CRF-based learning method for identifying necessary Web of Things (WoT) application components that would satisfy the users' requests issued in natural language. For instance, a user request such as "archive all sports breaking news" can be satisfied by composing a WoT application that consists of ESPN breaking news service and Dropbox as a storage service. We built an engine that can identify the necessary application components by recognizing a main act (MA) or named entities (NEs) from a given request. We trained this engine with the descriptions of WoT applications (called recipes) that were collected from IFTTT WoT platform. IFTTT hosts over 300 WoT entities that offer thousands of functions referred to as triggers and actions. There are more than 270,000 publicly-available recipes composed with those functions by real users. Therefore, the set of these recipes is well-qualified for the training of our MA and NE recognition engine. We share our unique experience of generating the training and test set from these recipe descriptions and assess the performance of the CRF-based language method. Based on the performance evaluation, we introduce further research directions.

  14. Application of Kinect Technology in Blind Aerobics Learning

    Directory of Open Access Journals (Sweden)

    Hui Qu

    2017-12-01

    Full Text Available In order for blind people to learn aerobics more conveniently, we combined Kinect skeletal tracking technology with aerobics-assisted training to design a Kinect-based aerobics-assisted training system. Through the Kinect somatosensory camera, the feature extraction method and recognition algorithm of sign language are improved, and the sign language recognition system is realized. Sign language is translated through the sign language recognition system and expressed in understandable terms, providing a sound way of learning. The experimental results show that the system can automatically collect and recognize the aerobics movements. By comparing with the standard movements in the database, the system evaluates the posture of trainers from the perspectives of joint coordinates and joint angles, followed by the provision of movements contrast graphics and corresponding advice. Therefore, the system can effectively help the blind to learn aerobics.

  15. The Ghost in the Machine: Are "Teacherless" CALL Programs Really Possible?

    Science.gov (United States)

    Davies, Ted; Williamson, Rodney

    1998-01-01

    Reflects critically on pedagogical issues in the production of computer-assisted language learning (CALL) courseware and ways CALL has affected the practice of language learning. Concludes that if CALL is to reach full potential, it must be more than a simple medium of information; it should provide a teaching/learning process, with the real…

  16. Energy landscapes for a machine learning application to series data

    Energy Technology Data Exchange (ETDEWEB)

    Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J., E-mail: dw34@cam.ac.uk [University Chemical Laboratories, Lensfield Road, Cambridge CB2 1EW (United Kingdom)

    2016-03-28

    Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.

  17. Energy landscapes for a machine learning application to series data

    International Nuclear Information System (INIS)

    Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J.

    2016-01-01

    Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.

  18. ASR performance analysis of an experimental call routing system

    CSIR Research Space (South Africa)

    Modipa, T

    2009-11-01

    Full Text Available Call routing is an important application of Automatic Speech Recognition (ASR) technology. In this paper the authors discuss the main issues affecting the performance of a call routing system and describe the ASR component of the "Auto...

  19. Students’ Mathematical Problem-Solving Abilities Through The Application of Learning Models Problem Based Learning

    Science.gov (United States)

    Nasution, M. L.; Yerizon, Y.; Gusmiyanti, R.

    2018-04-01

    One of the purpose mathematic learning is to develop problem solving abilities. Problem solving is obtained through experience in questioning non-routine. Improving students’ mathematical problem-solving abilities required an appropriate strategy in learning activities one of them is models problem based learning (PBL). Thus, the purpose of this research is to determine whether the problem solving abilities of mathematical students’ who learn to use PBL better than on the ability of students’ mathematical problem solving by applying conventional learning. This research included quasi experiment with static group design and population is students class XI MIA SMAN 1 Lubuk Alung. Class experiment in the class XI MIA 5 and class control in the class XI MIA 6. The instrument of final test students’ mathematical problem solving used essay form. The result of data final test in analyzed with t-test. The result is students’ mathematical problem solving abilities with PBL better then on the ability of students’ mathematical problem solving by applying conventional learning. It’s seen from the high percentage achieved by the group of students who learn to use PBL for each indicator of students’ mathematical problem solving.

  20. Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications

    Science.gov (United States)

    Maskey, M.; Ramachandran, R.; Miller, J.

    2017-12-01

    Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. However, generic large-scale labeled datasets such as the ImageNet are the fuel that drives the impressive accuracy of deep learning results. Large-scale labeled datasets already exist in domains such as medical science, but creating them in the Earth science domain is a challenge. While there are ways to apply deep learning using limited labeled datasets, there is a need in the Earth sciences for creating large-scale labeled datasets for benchmarking and scaling deep learning applications. At the NASA Marshall Space Flight Center, we are using deep learning for a variety of Earth science applications where we have encountered the need for large-scale labeled datasets. We will discuss our approaches for creating such datasets and why these datasets are just as valuable as deep learning algorithms. We will also describe successful usage of these large-scale labeled datasets with our deep learning based applications.

  1. LDA merging and splitting with applications to multiagent cooperative learning and system alteration.

    Science.gov (United States)

    Pang, Shaoning; Ban, Tao; Kadobayashi, Youki; Kasabov, Nikola K

    2012-04-01

    To adapt linear discriminant analysis (LDA) to real-world applications, there is a pressing need to equip it with an incremental learning ability to integrate knowledge presented by one-pass data streams, a functionality to join multiple LDA models to make the knowledge sharing between independent learning agents more efficient, and a forgetting functionality to avoid reconstruction of the overall discriminant eigenspace caused by some irregular changes. To this end, we introduce two adaptive LDA learning methods: LDA merging and LDA splitting. These provide the benefits of ability of online learning with one-pass data streams, retained class separability identical to the batch learning method, high efficiency for knowledge sharing due to condensed knowledge representation by the eigenspace model, and more preferable time and storage costs than traditional approaches under common application conditions. These properties are validated by experiments on a benchmark face image data set. By a case study on the application of the proposed method to multiagent cooperative learning and system alternation of a face recognition system, we further clarified the adaptability of the proposed methods to complex dynamic learning tasks.

  2. Learning Analytics: The next frontier for computer assisted language learning in big data age

    Directory of Open Access Journals (Sweden)

    Yu Qinglan

    2015-01-01

    Full Text Available Learning analytics (LA has been applied to various learning environments, though it is quite new in the field of computer assisted language learning (CALL. This article attempts to examine the application of learning analytics in the upcoming big data age. It starts with an introduction and application of learning analytics in other fields, followed by a retrospective review of historical interaction between learning and media in CALL, and a penetrating analysis on why people would go to learning analytics to increase the efficiency of foreign language education. As approved in previous research, new technology, including big data mining and analysis, would inevitably enhance the learning of foreign languages. Potential changes that learning analytics would bring to Chinese foreign language education and researches are also presented in the article.

  3. Educational Data Mining and Learning Analytics: Applications to Constructionist Research

    Science.gov (United States)

    Berland, Matthew; Baker, Ryan S.; Blikstein, Paulo

    2014-01-01

    Constructionism can be a powerful framework for teaching complex content to novices. At the core of constructionism is the suggestion that by enabling learners to build creative artifacts that require complex content to function, those learners will have opportunities to learn this content in contextualized, personally meaningful ways. In this…

  4. Application of parsimonious learning feedforward control to mechatronic systems

    NARCIS (Netherlands)

    de Vries, Theodorus J.A.; Velthuis, W.J.R.; Idema, L.J.

    2001-01-01

    For motion control, learning feedforward controllers (LFFCs) should be applied when accurate process modelling is difficult. When controlling such processes with LFFCs in the form of multidimensional B-spline networks, large network sizes and a poor generalising ability may result, known as the

  5. Collaborative Learning: Theoretical Foundations and Applicable Strategies to University

    Science.gov (United States)

    Roselli, Nestor D.

    2016-01-01

    Collaborative learning is a construct that identifies a current strong field, both in face-to-face and virtual education. Firstly, three converging theoretical sources are analyzed: socio-cognitive conflict theory, intersubjectivity theory and distributed cognition theory. Secondly, a model of strategies that can be implemented by teachers to…

  6. Application of machine learning methods for traffic signs recognition

    Science.gov (United States)

    Filatov, D. V.; Ignatev, K. V.; Deviatkin, A. V.; Serykh, E. V.

    2018-02-01

    This paper focuses on solving a relevant and pressing safety issue on intercity roads. Two approaches were considered for solving the problem of traffic signs recognition; the approaches involved neural networks to analyze images obtained from a camera in the real-time mode. The first approach is based on a sequential image processing. At the initial stage, with the help of color filters and morphological operations (dilatation and erosion), the area containing the traffic sign is located on the image, then the selected and scaled fragment of the image is analyzed using a feedforward neural network to determine the meaning of the found traffic sign. Learning of the neural network in this approach is carried out using a backpropagation method. The second approach involves convolution neural networks at both stages, i.e. when searching and selecting the area of the image containing the traffic sign, and when determining its meaning. Learning of the neural network in the second approach is carried out using the intersection over union function and a loss function. For neural networks to learn and the proposed algorithms to be tested, a series of videos from a dash cam were used that were shot under various weather and illumination conditions. As a result, the proposed approaches for traffic signs recognition were analyzed and compared by key indicators such as recognition rate percentage and the complexity of neural networks’ learning process.

  7. Intellectual Skills Needed for the Effective Learning and Application ...

    African Journals Online (AJOL)

    NJD

    are involved in all types of thinking. ... important when learning science, and many students' failure in .... Calculate the mass of 2.0 × 1010 oxygen atoms (O). ..... 13 D.N. Perkins, Teaching Thinking Skills: Theory and Practice (J. Baron and.

  8. A Constructivist Application for Online Learning in Music

    Science.gov (United States)

    Keast, Dan A.

    2009-01-01

    The purpose of this article is to extend the published knowledge and practices of distance learning in music to include constructivism. Dan Keast describes his techniques for the implementation of constructivism to an online two-course series of Music History. The courses' structure, activities, assessments, and other key functionality components…

  9. Things to Say: Future Applications of Smart Objects in Learning

    Science.gov (United States)

    Preis, Kevin

    2008-01-01

    Smart object technology allows users to know something in real time about the physical objects in their presence. Each object, from cereal boxes to skyscrapers, becomes a source of information with which users can interact. Through a series of usage scenarios, the article explores the potential impact of smart objects on learning in formal and…

  10. Practical secure decision tree learning in a teletreatment application

    NARCIS (Netherlands)

    de Hoogh, Sebastiaan; Schoenmakers, Berry; Chen, Ping; op den Akker, Harm

    In this paper we develop a range of practical cryptographic protocols for secure decision tree learning, a primary problem in privacy preserving data mining. We focus on particular variants of the well-known ID3 algorithm allowing a high level of security and performance at the same time. Our

  11. Practical secure decision tree learning in a teletreatment application

    NARCIS (Netherlands)

    Hoogh, de S.J.A.; Schoenmakers, B.; Chen, Ping; Op den Akker, H.; Christin, N.; Safavi-Naini, R.

    2014-01-01

    In this paper we develop a range of practical cryptographic protocols for secure decision tree learning, a primary problem in privacy preserving data mining. We focus on particular variants of the well-known ID3 algorithm allowing a high level of security and performance at the same time. Our

  12. Applications of Situated Learning to Foster Communities of Practice

    Science.gov (United States)

    Edmonds-Cady, Cynthia; Sosulski, Marya R.

    2012-01-01

    The authors discuss 2 macro-level community practice courses, examining how each applies the concepts of situated learning to foster the development of communities of practice through use of a unique model for antioppressive practice. The theoretical underpinnings and a discussion of the implementation of each stage of the model is provided. The…

  13. Learner Profile Management for Collaborative Adaptive eLearning Application

    DEFF Research Database (Denmark)

    Alrifai, Mohammad; Dolog, Peter; Nejdl, Wolfgang

    2006-01-01

    Adaptive Learning Systems would perform better if they would be able to exchange as many relevant fragments of information about the learner as possible. The use of Web Services standards is recently gaining the attention of many researches as a promising solution for the problem of interfacing a...

  14. Online Software Applications for Learning: Observations from an Elementary School

    Science.gov (United States)

    Tay, Lee Yong; Lim, Cher Ping; Nair, Shanthi Suraj; Lim, Siew Khiaw

    2014-01-01

    This exploratory case study research describes the integration of Information Communication Technology (ICT) into the teaching and learning of English, mathematics and science in an elementary school in Singapore. The school in this case study research is one of the first primary-level future schools that was set up under the…

  15. Students' Readiness for E-Learning Application in Higher Education

    Science.gov (United States)

    Rasouli, Atousa; Rahbania, Zahra; Attaran, Mohammad

    2016-01-01

    The main goal of this research was to investigate the readiness of art students in applying e-learning. This study adopted a survey research design. From three public Iranian Universities (Alzahra, Tarbiat Modares, and Tehran), 347 students were selected by multistage cluster sampling and via Morgan Table. Their readiness for E-learning…

  16. Application of Learning Curves for Didactic Model Evaluation: Case Studies

    Directory of Open Access Journals (Sweden)

    Felix Mödritscher

    2013-01-01

    Full Text Available The success of (online courses depends, among other factors, on the underlying didactical models which have always been evaluated with qualitative and quantitative research methods. Several new evaluation techniques have been developed and established in the last years. One of them is ‘learning curves’, which aim at measuring error rates of users when they interact with adaptive educational systems, thereby enabling the underlying models to be evaluated and improved. In this paper, we report how we have applied this new method to two case studies to show that learning curves are useful to evaluate didactical models and their implementation in educational platforms. Results show that the error rates follow a power law distribution with each additional attempt if the didactical model of an instructional unit is valid. Furthermore, the initial error rate, the slope of the curve and the goodness of fit of the curve are valid indicators for the difficulty level of a course and the quality of its didactical model. As a conclusion, the idea of applying learning curves for evaluating didactical model on the basis of usage data is considered to be valuable for supporting teachers and learning content providers in improving their online courses.

  17. A New Multimedia Application for Teaching and Learning Chemical Equilibrium

    Science.gov (United States)

    Ollino, Mario; Aldoney, Jenny; Domínguez, Ana M.; Merino, Cristian

    2018-01-01

    This study presents a method for teaching the subject of chemical equilibrium in which students engage in self-learning mediated by the use of a new multimedia animation (SEQ-alfa©). This method is presented together with evidence supporting its advantages. At a microscopic level, the simulator shows the mutual transformation of A molecules into B…

  18. Ethical and Privacy Issues in the Application of Learning Analytics

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hoel, Tore; Scheffel, Maren; Kismihok, Gabor; Berg, Alan; Ferguson, Rebecca; Chen, Weiqin; Cooper, Adam; Manderveld, Jocelyn

    2017-01-01

    The large-scale production, collection, aggregation, and processing of information from various learning platforms and online environments have led to ethical and privacy concerns regarding potential harm to individuals and society. In the past, these types of concern have impacted on areas as

  19. Outsourcing Systems Development for e-Learning Applications

    Science.gov (United States)

    Brodahl, Cornelia; Oftedahl, Heidi

    2012-01-01

    This study investigated outsourcing of the development of visual, animated and interactive learning objects for mathematics education by a Norwegian university to software vendors in China. It sought to understand the challenges in this outsourcing engagement and competences needed to meet the challenges. The authors tested outsourcing strategies…

  20. The Application of Adult Learning Principles in Effective Preaching

    Science.gov (United States)

    DeVille, Randall C.

    2012-01-01

    Evidence suggests that a disconnect is growing between the information provided in Christian sermons and the life challenges faced by those church attendees. To bridge that divide, the purpose of this study was to better understand the characteristics of a sermon that enhance learning for churchgoers in Christian churches. The guiding question…

  1. An Intelligent Tutoring System for Learning Android Applications UI Development

    OpenAIRE

    Al Rekhawi , Hazem Awni; Abu Naser , Samy S

    2018-01-01

    International audience; The paper describes the design of a web based intelligent tutoring system for teaching Android Applications Development to students to overcome the difficulties they face. The basic idea of this system is a systematic introduction into the concept of Android Application Development. The system presents the topic of Android Application Development and administers automatically generated problems for the students to solve. The system is automatically adapted at run time ...

  2. Applications of Stochastic Analyses for Collaborative Learning and Cognitive Assessment

    National Research Council Canada - National Science Library

    Soller, Amy; Stevens, Ron

    2007-01-01

    .... Examples ranging from fields as diverse as defense analysis, cognitive science, and instruction are illustrated throughout to demonstrate the variety of applications that benefit from such stochastic...

  3. Statistical and optimal learning with applications in business analytics

    Science.gov (United States)

    Han, Bin

    Statistical learning is widely used in business analytics to discover structure or exploit patterns from historical data, and build models that capture relationships between an outcome of interest and a set of variables. Optimal learning on the other hand, solves the operational side of the problem, by iterating between decision making and data acquisition/learning. All too often the two problems go hand-in-hand, which exhibit a feedback loop between statistics and optimization. We apply this statistical/optimal learning concept on a context of fundraising marketing campaign problem arising in many non-profit organizations. Many such organizations use direct-mail marketing to cultivate one-time donors and convert them into recurring contributors. Cultivated donors generate much more revenue than new donors, but also lapse with time, making it important to steadily draw in new cultivations. The direct-mail budget is limited, but better-designed mailings can improve success rates without increasing costs. We first apply statistical learning to analyze the effectiveness of several design approaches used in practice, based on a massive dataset covering 8.6 million direct-mail communications with donors to the American Red Cross during 2009-2011. We find evidence that mailed appeals are more effective when they emphasize disaster preparedness and training efforts over post-disaster cleanup. Including small cards that affirm donors' identity as Red Cross supporters is an effective strategy, while including gift items such as address labels is not. Finally, very recent acquisitions are more likely to respond to appeals that ask them to contribute an amount similar to their most recent donation, but this approach has an adverse effect on donors with a longer history. We show via simulation that a simple design strategy based on these insights has potential to improve success rates from 5.4% to 8.1%. Given these findings, when new scenario arises, however, new data need to

  4. Why Is an Application of Multiple Intelligences Theory Important for Language Learning and Teaching Speaking Ability?

    Science.gov (United States)

    Boonma, Malai; Phaiboonnugulkij, Malinee

    2014-01-01

    This article calls for a strong need to propose the theoretical framework of the Multiple Intelligences theory (MI) and provide a suitable answer of the doubt in part of foreign language teaching. The article addresses the application of MI theory following various sources from Howard Gardner and the authors who revised this theory for use in the…

  5. Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey

    Science.gov (United States)

    Xue, Yong; Chen, Shihui; Liu, Yong

    2017-01-01

    Molecular imaging enables the visualization and quantitative analysis of the alterations of biological procedures at molecular and/or cellular level, which is of great significance for early detection of cancer. In recent years, deep leaning has been widely used in medical imaging analysis, as it overcomes the limitations of visual assessment and traditional machine learning techniques by extracting hierarchical features with powerful representation capability. Research on cancer molecular images using deep learning techniques is also increasing dynamically. Hence, in this paper, we review the applications of deep learning in molecular imaging in terms of tumor lesion segmentation, tumor classification, and survival prediction. We also outline some future directions in which researchers may develop more powerful deep learning models for better performance in the applications in cancer molecular imaging. PMID:29114182

  6. Designing an E-Learning Application to Facilitate Health Care Professionals' Cross-Cultural Communication.

    Science.gov (United States)

    Balasubramaniam, Nagadivya; Kujala, Sari; Ayzit, Dicle; Kauppinen, Marjo; Heponiemi, Tarja; Hietapakka, Laura; Kaihlanen, Anu

    2018-01-01

    In recent times, health care professionals (HCP) have come across a number of migrants as their patients. The cultural differences lead to communicational challenges between the migrant patients and health care professionals. Our project aimed to discover HCPs' attitudes, challenges and needs on cross-cultural communication, so that we can develop an e-learning solution that would be helpful for them. By conducting interviews with HCPs, we identified five crucial categories of problems and the current solutions that experienced professionals use to tackle those problems. These interviews also helped us in understanding the motivational factors of HCPs, when using e-learning application. Health care professionals prefer a focus on examples and themes such as death and pain that they face in their everyday work. Changing attitudes by e-learning application is challenging. However, e-learning was recognized as a flexible way for supporting traditional training with HCPs who are busy at work most of the time.

  7. Mobile Learning: Pedagogical Strategies for Using Applications in the Classroom

    Science.gov (United States)

    Silveira Sonego, Anna Helena; Rocha Machado, Leticia; Wildt Torrezzan, Cristina Alba; Behar, Patricia Alejandra

    2016-01-01

    This article aims to outline different pedagogical strategies with applications (apps) in the classroom. Every year the use of mobile devices like tablets and smartphones increases. At the same time, applications are being developed to meet this demand. It is therefore essential that educators investigate their use as an motivational technological…

  8. Generation and Application of Virtual Dynamic Learning Environments

    Directory of Open Access Journals (Sweden)

    Esther Zaretsky

    2009-04-01

    Full Text Available The generation of virtual dynamic learning environments by mental imagery improved physical education of student teachers. Up-to-date studies showed that training computerized simulations improved spatial abilities, especially visualization of the body's movements in space, and enhanced academic achievements. The main program of the research concentrated on creating teaching units focusing on a variety of physical skills through computerized dynamic presentations. The findings showed that as the student teachers practiced the creation of simulations through the PowerPoint Software, it became clear to them how the computer is related to physical activities. Consequently their presentations became highly animated, and applied to the natural environment. The student teachers applied their presentations in their practical classroom and reported about their pupils' progress in physical skills. Moreover the motivation of the student teachers and pupils to both modes of learning, manipulating virtually and physically, was enhanced.

  9. Mobile, ubiquitous, and pervasive learning fundaments, applications, and trends

    CERN Document Server

    2016-01-01

    This book is concerned with the mobile, ubiquitous, and pervasive learning arena. It present a collection of works corresponding to four categories: reviews, studies, conceptual proposals, and approaches. As a result of the submission and revision processes eight manuscripts were accepted and organized into the aforementioned four parts as follows: ·Review: a couple of chapters offer a survey of related works. One concerns with the diversity of mobile, ubiquitous, and pervasive labor, where interested findings are unveiled based on correlations. Other focuses on adaptive and adaptable architectures that are suitable to implement ubiquitous learning sceneries, whose contribution represents a model of a domain specific architecture. ·Studies: two chapters explore issues related to the effect of question styles made through smartphones and tablets, and the disposition of teachers to exploit mobile devices at classroom. ·Conceptual: a pair of chapters offer a given proposal, the first to develop adaptive mobil...

  10. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

    Directory of Open Access Journals (Sweden)

    Hagiwara N

    2017-12-01

    Full Text Available Nobuko Hagiwara Division of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, University of California, Davis, CA, USA Abstract: The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students’ skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students’ competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules’ learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed. Keywords

  11. Motivation in Adult Language Learning: Research Review and Navy Applications

    Science.gov (United States)

    2011-12-01

    procedural aspects of some motivation studies giving rise to the cementing of the integrative/instrumental pair. For example, population samples in...subsequently, this led to a cementing of the integrative/instrumental pair in scholarly thought and a narrowing of scholarly perspectives on motivation.15...a desire to learn a second language or already have fluency or a working knowledge of one. All of these recommendations will provide a good start

  12. The application of learning skills in an engineering programme

    OpenAIRE

    Shoemaker, Leslie

    2006-01-01

    At the Dublin Institute of Technology, an engineering programme in the School of Control Systems and Electrical Engineering has successfully incorporated a study skills module into the core curriculum. The module, titled Academic Development and Key Skills, is part of the first year of the programme and has a two-fold purpose. Primarily the goal is to assist the students with the transition from second level education to third level by teaching them a more competent learning style. This, in t...

  13. An Educational Application of Online Games for Learning Difficulties

    OpenAIRE

    M. Margoudi; Z. Smyrnaiou

    2015-01-01

    The current paper presents the results of a conducted case study. During the past few years the number of children diagnosed with Learning Difficulties has drastically augmented and especially the cases of ADHD (Attention Deficit Hyperactivity Disorder). One of the core characteristics of ADHD is a deficit in working memory functions. The review of the literature indicates a plethora of educational software that aim at training and enhancing the working memory. Neverthele...

  14. Application of Virtual World Technologies to Undersea Warfare Learning

    Science.gov (United States)

    2009-08-20

    rich-skill practice (source: eLearning Guild) Scilands Nanometer Acoustic Detection Exhibit at vNUWC “A school history class could, for example...requirements! • Second Life is proving to be a flexible , extremely capable VWT earning our continued focus as we strive to bring this technology to fruition in support of today and tomorrow’s war fighter. Conclusion

  15. Impact of an iDevice application on student learning in an occupational therapy kinesiology course.

    Science.gov (United States)

    Hughes, Jason K; Kearney, Pamalyn

    2017-01-01

    As technology continues to evolve, and information is increasingly accessed through smartphones and tablets, it is essential for university faculty to reassess teaching methodologies. This study explored how use of an iDevice application (app) by participants enrolled in an entry-level occupational therapy kinesiology course affected student learning in the course. This iDevice app was developed through a collaboration between the lead author and the Department of Technology Enhanced Learning and Innovation at Augusta University. The iDevice app was released to the public via the Apple ® App Store at the midpoint of the kinesiology course. All students were invited to use the app. Focus groups were conducted with 19 students recruited from the first year cohort of occupational therapy graduate students. These focus groups were conducted at the end of the semester once grades had been submitted. Thematic analysis of focus group transcripts revealed three themes reflecting how participants perceived app use impacting their learning. Participants report the app facilitated learning through provision of visual content, serving as a reliable source of information, and generally supporting the learning process. The Kinesiology Pro Consult App provided on demand learning, allowing students to be more autonomous with their learning and take advantage of opportunities to learn anywhere and anytime. Finally, participants reported the app allowed them to be more efficient in their learning, possibly allowing more time for other courses. Mobile device apps that support student learning in specific content areas may provide positive benefits to student learning both in the specific course related to the app but also in other courses as a result of increased efficiency in learning.

  16. Learning Organization Models and Their Application to the U.S. Army

    Science.gov (United States)

    2016-06-01

    learner and a teacher . Risk-taking and innovation are encouraged, mistakes are valued as sources of learning, and there exists a commitment to...consistent with Army’s values. Leadership commitment and empowerment 45. Senior leaders resist change and are afraid of new ideas. 46. Senior... Research Report 1998 Learning Organization Models and Their Application to the U.S. Army Jasmine Snyder Consortium of

  17. Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects

    Science.gov (United States)

    Denoeux, Thierry

    The Dempster-Shafer theory of belief functions provides a unified framework for handling both aleatory uncertainty, arising from statistical variability in populations, and epistemic uncertainty, arising from incompleteness of knowledge. An overview of both the fundamentals and some recent developments in this theory will first be presented. Several applications in data analysis and machine learning will then be reviewed, including learning under partial supervision, multi-label classification, ensemble clustering and the treatment of pairwise comparisons in sensory or preference analysis.

  18. The Application of Problem-Based Learning in Mechanical Engineering

    Science.gov (United States)

    Putra, Z. A.; Dewi, M.

    2018-02-01

    The course of Technology and Material Testing prepare students with the ability to do a variety of material testing in the study of mechanical engineering. Students find it difficult to understand the materials to make them unable to carry out the material testing in accordance with the purpose of study. This happens because they knowledge is not adequately supported by the competence to find and construct learning experience. In this study, quasy experiment research method with pre-post-test with control group design was used. The subjects of the study were students divided in two groups; control and experiment with twenty-two students in each group. Study result: their grades showed no difference in between the pre-test or post-test in control group, but the difference in grade existed between the pre-test and post-test in experiment group. Yet, there is no significant difference in the study result on both groups. The researcher recommend that it is necessary to develop Problem-Based Learning that suits need analysis on D3 Program for Mechanical Engineering Department at the State University of Padang, to ensure the compatibility between Model of Study and problems and need. This study aims to analyze how Problem-Based Learning effects on the course of Technology and Material Testing for the students of D3 Program of Mechanical Engineering of the State University of Padang.

  19. PLANNING APPLICATION OF WEB 2.0 FOR ORGANIZATIONAL LEARNING IN UNIVERSITAS PENDIDIKAN INDONESIA LIBRARY

    Directory of Open Access Journals (Sweden)

    Santi Santika

    2017-07-01

    Full Text Available Library of Universitas Pendidikan Indonesia (UPI has a quality policy commitment to continuous improvement in every area and process. It can be achieved by continuously optimizing organizational learning. Web 2.0 is a media application that can help the organizational learning process because it has the characteristics of read and write, as well as having the flexibility of time use, but the application must be in accordance with the culture and character of the organization. Therefore, this study aimed to find out the Web 2.0 application that can be applied to the organizational learning in the Library of UPI. The method used is a mixed method qualitative and quantitative approach. Research stage refers to the stage of planning and support phases of Web 2.0 Tools Implementation Model. The results showed that the application of Web 2.0 can be applied to the organizational learning in the Library UPI. It refers to the tendency of organizational culture Library of UPI that is good and tendency of HR Library UPI attitude against the use of the Internet and computers are very good. Web 2.0 applications that can be used by UPI library are blogs, online forums, and wiki as a primary tools. Facebook, Youtube, chat application, twitter and Instagram as a supporting tools.

  20. e-Learning Application for Machine Maintenance Process using Iterative Method in XYZ Company

    Science.gov (United States)

    Nurunisa, Suaidah; Kurniawati, Amelia; Pramuditya Soesanto, Rayinda; Yunan Kurnia Septo Hediyanto, Umar

    2016-02-01

    XYZ Company is a company based on manufacturing part for airplane, one of the machine that is categorized as key facility in the company is Millac 5H6P. As a key facility, the machines should be assured to work well and in peak condition, therefore, maintenance process is needed periodically. From the data gathering, it is known that there are lack of competency from the maintenance staff to maintain different type of machine which is not assigned by the supervisor, this indicate that knowledge which possessed by maintenance staff are uneven. The purpose of this research is to create knowledge-based e-learning application as a realization from externalization process in knowledge transfer process to maintain the machine. The application feature are adjusted for maintenance purpose using e-learning framework for maintenance process, the content of the application support multimedia for learning purpose. QFD is used in this research to understand the needs from user. The application is built using moodle with iterative method for software development cycle and UML Diagram. The result from this research is e-learning application as sharing knowledge media for maintenance staff in the company. From the test, it is known that the application make maintenance staff easy to understand the competencies.

  1. Skype™ Conference Calls: A Way to Promote Speaking Skills in the Teaching and Learning of English (Llamadas para conferencia en Skype™: una forma de promover la habilidad de habla en la enseñanza y aprendizaje del inglés)

    Science.gov (United States)

    Romaña Correa, Yeferson

    2015-01-01

    This article presents the results of a research project on the teaching and learning of English through the use of Skype™ conference calls. The research was carried out with a group of 12 English as a foreign language adult learners in the language institute of Universidad Distrital Francisco José de Caldas, Bogotá, Colombia. The findings of this…

  2. APPLICATION OF BIG DATA IN EDUCATION DATA MINING AND LEARNING ANALYTICS – A LITERATURE REVIEW

    Directory of Open Access Journals (Sweden)

    Katrina Sin

    2015-07-01

    Full Text Available The usage of learning management systems in education has been increasing in the last few years. Students have started using mobile phones, primarily smart phones that have become a part of their daily life, to access online content. Student's online activities generate enormous amount of unused data that are wasted as traditional learning analytics are not capable of processing them. This has resulted in the penetration of Big Data technologies and tools into education, to process the large amount of data involved. This study looks into the recent applications of Big Data technologies in education and presents a review of literature available on Educational Data Mining and Learning Analytics.

  3. Attitudes towards using mobile applications for teaching mathematics in open learning systems

    Directory of Open Access Journals (Sweden)

    Bahjat Hamid Altakhyneh

    2018-05-01

    Full Text Available This study investigated attitudes towards teaching mathematics via mobile learning in open learning systems. The sample of the study consisted of 57 male and female students enrolled in the mathematics course in the department of educational studies at the Arab Open University/ Jordan for the academic year 2016/2017. Results of the study showed that positive student attitudes toward using mobile applications reached 80%. Each of the following scores is ranked as ascending: mathematical thinking (75%, achievement motivation (76%, developing social and emotional skills (77%, and application technology (96%. There was no statistical significance difference (α ≤0.01 between the variable type of general secondary certificate (scientific / arts stream as well as the nature of employment in terms of whether the learner was either an employee or non-employee. In light of results of the study, the researcher recommends using mobile applications in teaching courses of mathematics in open learning systems.

  4. Application of Machine Learning Approaches for Protein-protein Interactions Prediction.

    Science.gov (United States)

    Zhang, Mengying; Su, Qiang; Lu, Yi; Zhao, Manman; Niu, Bing

    2017-01-01

    Proteomics endeavors to study the structures, functions and interactions of proteins. Information of the protein-protein interactions (PPIs) helps to improve our knowledge of the functions and the 3D structures of proteins. Thus determining the PPIs is essential for the study of the proteomics. In this review, in order to study the application of machine learning in predicting PPI, some machine learning approaches such as support vector machine (SVM), artificial neural networks (ANNs) and random forest (RF) were selected, and the examples of its applications in PPIs were listed. SVM and RF are two commonly used methods. Nowadays, more researchers predict PPIs by combining more than two methods. This review presents the application of machine learning approaches in predicting PPI. Many examples of success in identification and prediction in the area of PPI prediction have been discussed, and the PPIs research is still in progress. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  5. Call for applications_2013_VA_Final

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

    Lindsay Beck

    2013-04-12

    Apr 12, 2013 ... graduate level field-‐school, taught by UNBC and CoPEH-‐Canada team members1 . Final ... and most of the sessions in the course will be given in English. ... o demonstrated interest in Ecosystem approaches to health.

  6. Call for Applications IDRC Research Awards 2016

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

    Carole Labrie

    2015-08-06

    Aug 6, 2015 ... ... and will receive hands-on experience in research management, grant ... perspective. ... In principle, IDRC supports research in all developing countries. ... Candidates proposing field research in the following countries or ...

  7. Developing a Command and Control Application: Lessons Learned from FLEX

    National Research Council Canada - National Science Library

    Frantz, Albert G; Waller, Howard T; O'Neill, Patrick J; Clark, Thomas A; Marks, David L; Flo, Robert M; Griffith, David A

    1999-01-01

    ...) application, the Force Level EXecution (FLEX) software system. FLEX is the battle management software for monitoring the execution of Joint Air Operations in the Air Force Electronic Systems Center's Theater Battle Management Core Systems (TBMCS...

  8. Self-regulated learning as a framework for the educational application of virtual communities and personal learning environments

    Directory of Open Access Journals (Sweden)

    Julio Cabero Almenara

    2013-08-01

    Full Text Available 0 0 1 187 1033 USAL 8 2 1218 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} “Virtual Communities” (VC and “Personal learning Environments” (PLE, as products of the Web 2.0, of the cloud computing and of the “social media”, are impacting the field of education and are carrying the students to perform a more active role in the process of learning, and to integrate in their training not only the formal contexts, but also the informal and non-formal. However, we must be aware that the students control over the technology does not imply, necessarily, their control over their processes of teaching-learning and over the experience of learning. And for such control, self-regulation of learning by the student in CV and PLE can serve them to pass of their perception of technologies as technological tools to their perception of them as pedagogical tools, and to its use in the learning process in a planned and organized action, and directed toward specific goals. In order to do it, self-regulated learning, ie the application of learning strategies, their self-assessment, and the use of corrective actions in CV and in PLE, will led the student to take a more active, participatory and critical position in them, which will result in the creation of meaning mediated learning environments.

  9. Case-based approaches for knowledge application and organisational learning

    DEFF Research Database (Denmark)

    Wang, Chengbo; Johansen, John; Luxhøj, James T.

    2005-01-01

    In dealing with the strategic issues within a manufacturing system, it is necessary to facilitate formulating the composing elements of a set of strategic manufacturing practices and activity patterns that will support an enterprise to reinforce and increase its competitive advantage....... These practices and activity patterns are based on learning and applying the knowledge internal and external to an organisation. To ensure their smooth formulation process, there are two important techniques designed – an expert adaptation approach and an expert evaluation approach. These two approaches provide...

  10. Job task analysis: lessons learned from application in course development

    International Nuclear Information System (INIS)

    Meredith, J.B.

    1985-01-01

    Those at Public Service Electric and Gas Company are committed to a systematic approach to training known as Instructional System Design. Our performance-based training emphasizes the ISD process to have trainees do or perform the task whenever and wherever it is possible for the jobs for which they are being trained. Included is a brief description of our process for conducting and validating job analyses. The major thrust of this paper is primarily on the lessons that we have learned in the design and development of training programs based upon job analysis results

  11. Learning Flex 4 Getting Up to Speed with Rich Internet Application Design and Development

    CERN Document Server

    Cole, Alaric

    2010-01-01

    Learn Adobe Flex 4 in a fun and engaging way with this book's unique, hands-on approach. Using clear examples and step-by-step coaching from two experts, you'll create four applications that demonstrate fundamental Flex programming concepts. Throughout the course of this book, you'll learn how to enhance user interaction with ActionScript, and create and skin a user interface with Flex's UI components (MXML) and Adobe's new FXG graphics format. You'll also be trained to manage dynamic data, connect to a database using server-side script, and deploy applications to both the Web and the deskto

  12. Mechatronics Learning Studio: From "Play and Learn" to Industry-Inspired Green Energy Applications

    Science.gov (United States)

    Habash, R. W. Y.; Suurtamm, C.; Necsulescu, D.

    2011-01-01

    This paper describes the evolution of the teaching of electrical engineering to mechanical engineering students based on motivation and a pedagogical strategy incorporating interdisciplinary mechatronics projects in a learning studio environment. Implementation of student projects within the curriculum has been demonstrated to be highly…

  13. TO LEARN FROM TEACHERS AT SCHOOL, IDEAL TEACHER OR E-LEARNING APPLICATIONS FROM THE PERSPECTIVES OF GIFTED STUDENTS

    Directory of Open Access Journals (Sweden)

    Bahadir ERISTI,

    2012-08-01

    Full Text Available The present study, aimed at revealing the views of elementary school gifted students about the roles and behaviors of their teachers in class as well as about the in-class roles and behaviors that they expect from an ideal teacher with respect to different variables. Another question in the study was directed to determine students’ views about learning academic subjects via e-learning applications instead of at teachers. The participants of the study were 46 gifted students identified with the diagnosis system of “Education program for the gifted” executed in the Department of Gifted Education at the Education Faculty of Anadolu University. The research data were collected via a five-point Likert-type scale developed and tested by the researcher for its validity and reliability. For the analysis of the research data, paired sample t-test, one of descriptive parametrical statistical techniques, was applied. The findings obtained in the study revealed that according to gifted students, the in-class behaviors demonstrated by the course teachers were mostly those related to their roles of guidance for students. The behaviors of the course teachers within the scope of this role were followed by those related to providing information and maintaining the discipline, respectively. The behaviors least demonstrated by the teachers were those related to the role of supporting the students and those related to being a model for them. According to the students, an ideal teacher should at most demonstrate behaviors in class regarding the role of guiding the students and those regarding the role of providing information. According to the gifted students, the roles and behaviors of their teachers in class are quite different from the behaviors expected from an ideal teacher. Students do not regard e-learning applications as an alternative to learning from teachers. Rather, they prefer learning from their teachers to technology-aided learning environments

  14. Collaborative Learning: Theoretical Foundations and Applicable Strategies to University Teaching

    Directory of Open Access Journals (Sweden)

    Nestor D. Roselli

    2016-04-01

    Full Text Available Collaborative learning is a construct that identifies a current strong field, both in face-to-face and virtual education. Firstly, three converging theoretical sources are analyzed: socio-cognitive conflict theory, intersubjectivity theory and distributed cognition theory. Secondly, a model of strategies that can be implemented by teachers to develop socio-cognitive collaboration is presented. This model integrates and systematizes several academic group animation techniques developed within the collaborative learning field. These integrated techniques, within a coherent and unified didactic intention, allow talking more about strategies than independent and dissociated techniques. Each strategy is specifically described, which refers to six areas: encouragement of dialogue, listening to others and reciprocal assessment; collaboration for negotiation and consensus building; activity organization; study and appropriation of bibliographic information; conceptual development; collective writing. These strategies proposed (designed to stimulate the collaboration between 2, 4 and exceptionally, 6 or 8 students are not the only possible strategies, they can be combined with the ones the teacher might suggest. The strict pattern of each strategy is a characteristic of the proposal. The teacher is also encouraged to benchmark the results obtained using each strategy and those obtained using individual or non-collaborative strategies. Finally, conclusions and recommendations for the implementation of these strategies are discussed.

  15. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments.

    Science.gov (United States)

    Hagiwara, Nobuko

    2017-01-01

    The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students' skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs) in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students' competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules' learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed.

  16. Implementing Distributed Algorithms using Remote Procedure Call

    NARCIS (Netherlands)

    Bal, H.E.; van Renesse, R.; Tanenbaum, A.S.

    1987-01-01

    Remote procedure call (RPC) is a simple yet powerful primitiv~ for communication and synchronization between distributed processes. A problem with RPC is that it tends to decrease the amount of parallelism in an application due to its synchronous nature. This paper shows how light-weight processes

  17. 76 FR 36130 - Call for Candidates

    Science.gov (United States)

    2011-06-21

    ... financial information in decision-making. The Board meets in Washington, DC, for two days every other month... FEDERAL ACCOUNTING STANDARDS ADVISORY BOARD Call for Candidates AGENCY: Federal Accounting... candidates. Any applicant who provided the Federal Accounting Standards Advisory Board (FASAB or the Board...

  18. Text mining from ontology learning to automated text processing applications

    CERN Document Server

    Biemann, Chris

    2014-01-01

    This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects

  19. The Effect of Classroom Web Applications on Teaching, Learning and Academic Performance among College of Education Female Students

    Science.gov (United States)

    Aljraiwi, Seham Salman

    2017-01-01

    The current study proposes web applications-based learning environment to promote teaching and learning activities in the classrooms. It also helps teachers facilitate learners' contributions in the process of learning and improving their motivation and performance. The case study illustrated that female students were more interested in learning…

  20. Non-linear learning in online tutorial to enhance students’ knowledge on normal distribution application topic

    Science.gov (United States)

    Kartono; Suryadi, D.; Herman, T.

    2018-01-01

    This study aimed to analyze the enhancement of non-linear learning (NLL) in the online tutorial (OT) content to students’ knowledge of normal distribution application (KONDA). KONDA is a competence expected to be achieved after students studied the topic of normal distribution application in the course named Education Statistics. The analysis was performed by quasi-experiment study design. The subject of the study was divided into an experimental class that was given OT content in NLL model and a control class which was given OT content in conventional learning (CL) model. Data used in this study were the results of online objective tests to measure students’ statistical prior knowledge (SPK) and students’ pre- and post-test of KONDA. The statistical analysis test of a gain score of KONDA of students who had low and moderate SPK’s scores showed students’ KONDA who learn OT content with NLL model was better than students’ KONDA who learn OT content with CL model. Meanwhile, for students who had high SPK’s scores, the gain score of students who learn OT content with NLL model had relatively similar with the gain score of students who learn OT content with CL model. Based on those findings it could be concluded that the NLL model applied to OT content could enhance KONDA of students in low and moderate SPK’s levels. Extra and more challenging didactical situation was needed for students in high SPK’s level to achieve the significant gain score.

  1. Application of unsupervised learning methods in high energy physics

    Energy Technology Data Exchange (ETDEWEB)

    Koevesarki, Peter; Nuncio Quiroz, Adriana Elizabeth; Brock, Ian C. [Physikalisches Institut, Universitaet Bonn, Bonn (Germany)

    2011-07-01

    High energy physics is a home for a variety of multivariate techniques, mainly due to the fundamentally probabilistic behaviour of nature. These methods generally require training based on some theory, in order to discriminate a known signal from a background. Nevertheless, new physics can show itself in ways that previously no one thought about, and in these cases conventional methods give little or no help. A possible way to discriminate between known processes (like vector bosons or top-quark production) or look for new physics is using unsupervised machine learning to extract the features of the data. A technique was developed, based on the combination of neural networks and the method of principal curves, to find a parametrisation of the non-linear correlations of the data. The feasibility of the method is shown on ATLAS data.

  2. An Adaptive Web-Based Learning Environment for the Application of Remote Sensing in Schools

    Science.gov (United States)

    Wolf, N.; Fuchsgruber, V.; Riembauer, G.; Siegmund, A.

    2016-06-01

    Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the importance and ubiquity of remote sensing in science, industry and the public, the use of satellite imagery has been included into many school curricular in Germany. However, its implementation into school practice is still hesitant, mainly due to lack of teachers' know-how and education materials that align with the curricula. In the project "Space4Geography" a web-based learning platform is developed with the aim to facilitate the application of satellite imagery in secondary school teaching and to foster effective student learning experiences in geography and other related subjects in an interdisciplinary way. The platform features ten learning modules demonstrating the exemplary application of original high spatial resolution remote sensing data (RapidEye and TerraSAR-X) to examine current environmental issues such as droughts, deforestation and urban sprawl. In this way, students will be introduced into the versatile applications of spaceborne earth observation and geospatial technologies. The integrated web-based remote sensing software "BLIF" equips the students with a toolset to explore, process and analyze the satellite images, thereby fostering the competence of students to work on geographical and environmental questions without requiring prior knowledge of remote sensing. This contribution presents the educational concept of the learning environment and its realization by the example of the learning module "Deforestation of the rainforest in Brasil".

  3. Short Project-Based Learning with MATLAB Applications to Support the Learning of Video-Image Processing

    Science.gov (United States)

    Gil, Pablo

    2017-10-01

    University courses concerning Computer Vision and Image Processing are generally taught using a traditional methodology that is focused on the teacher rather than on the students. This approach is consequently not effective when teachers seek to attain cognitive objectives involving their students' critical thinking. This manuscript covers the development, implementation and assessment of a short project-based engineering course with MATLAB applications Multimedia Engineering being taken by Bachelor's degree students. The principal goal of all course lectures and hands-on laboratory activities was for the students to not only acquire image-specific technical skills but also a general knowledge of data analysis so as to locate phenomena in pixel regions of images and video frames. This would hopefully enable the students to develop skills regarding the implementation of the filters, operators, methods and techniques used for image processing and computer vision software libraries. Our teaching-learning process thus permits the accomplishment of knowledge assimilation, student motivation and skill development through the use of a continuous evaluation strategy to solve practical and real problems by means of short projects designed using MATLAB applications. Project-based learning is not new. This approach has been used in STEM learning in recent decades. But there are many types of projects. The aim of the current study is to analyse the efficacy of short projects as a learning tool when compared to long projects during which the students work with more independence. This work additionally presents the impact of different types of activities, and not only short projects, on students' overall results in this subject. Moreover, a statistical study has allowed the author to suggest a link between the students' success ratio and the type of content covered and activities completed on the course. The results described in this paper show that those students who took part

  4. Construction of SPOC-based Learning Model and its Application in Linguistics Teaching

    Directory of Open Access Journals (Sweden)

    Hua Lu

    2018-02-01

    Full Text Available The design of a reasonable learning model must take the new internet age into consideration. Following a contrastive study between MOOCs and SPOCs, a SPOC-based learning model is proposed in this paper. This new learning model consists of four components, the preliminary component composed of anterior analysis and course construction, the restrictive admission component for student number control, the learning procedure component which is subdivided into pre-class session, class session and post-class session, and the evaluation component which includes both online assessment and classroom assessment. This model has its advantages and is shown to be effective through the demonstration of its application in teaching linguistics to college students.

  5. Active and Adaptive Learning from Biased Data with Applications in Astronomy

    DEFF Research Database (Denmark)

    Kremer, Jan

    This thesis addresses the problem of machine learning from biased datasets in the context of astronomical applications. In astronomy there are many cases in which the training sample does not follow the true distribution. The thesis examines different types of biases and proposes algorithms...... set. Against this background, the thesis begins with a survey of active learning algorithms for the support vector machine. If the cost of additional labeling is prohibitive, unlabeled data can often be utilized instead and the sample selection bias can be overcome through domain adaptation, that is...... to handle them. During learning and when applying the predictive model, active learning enables algorithms to select training examples from a pool of unlabeled data and to request the labels. This allows for selecting examples that maximize the algorithm's accuracy despite an initial bias in the training...

  6. Machine learning applications in proteomics research: how the past can boost the future.

    Science.gov (United States)

    Kelchtermans, Pieter; Bittremieux, Wout; De Grave, Kurt; Degroeve, Sven; Ramon, Jan; Laukens, Kris; Valkenborg, Dirk; Barsnes, Harald; Martens, Lennart

    2014-03-01

    Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms that allow computers to learn solving a (complex) problem from existing data. This ability can be used to generate a solution to a particularly intractable problem, given that enough data are available to train and subsequently evaluate an algorithm on. Since MS-based proteomics has no shortage of complex problems, and since publicly available data are becoming available in ever growing amounts, machine learning is fast becoming a very popular tool in the field. We here therefore present an overview of the different applications of machine learning in proteomics that together cover nearly the entire wet- and dry-lab workflow, and that address key bottlenecks in experiment planning and design, as well as in data processing and analysis. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  7. A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.

    Science.gov (United States)

    Guo, Lilin; Wang, Zhenzhong; Cabrerizo, Mercedes; Adjouadi, Malek

    2017-05-01

    This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to learn and reproduce arbitrary spike patterns in a supervised fashion allowing the processing of spatiotemporal information encoded in the precise timing of spikes. Unlike the Remote Supervised Method (ReSuMe), synapse delays and axonal delays in CCDS are variants which are modulated together with weights during learning. The CCDS rule is both biologically plausible and computationally efficient. The properties of this learning rule are investigated extensively through experimental evaluations in terms of reliability, adaptive learning performance, generality to different neuron models, learning in the presence of noise, effects of its learning parameters and classification performance. Results presented show that the CCDS learning method achieves learning accuracy and learning speed comparable with ReSuMe, but improves classification accuracy when compared to both the Spike Pattern Association Neuron (SPAN) learning rule and the Tempotron learning rule. The merit of CCDS rule is further validated on a practical example involving the automated detection of interictal spikes in EEG records of patients with epilepsy. Results again show that with proper encoding, the CCDS rule achieves good recognition performance.

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

    Science.gov (United States)

    Dörner, Ralf; Lok, Benjamin; Broll, Wolfgang

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

  9. Applications and Lessons Learned using Data from the Atmospheric Infrared Sounder

    Science.gov (United States)

    Ray, S. E.; Fetzer, E. J.; Olsen, E. T.; Lambrigtsen, B.; Pagano, T. S.; Teixeira, J.; Licata, S. J.; Hall, J. R.

    2016-12-01

    Applications and Lessons Learned using Data from the Atmospheric Infrared SounderSharon Ray, Jet Propulsion Laboratory, California Institute of Technology The Atmospheric Infrared Sounder (AIRS) on NASA's Aqua spacecraft has been returning daily global observations of Earth's atmospheric constituents and properties since 2002. With a 12-year data record and daily, global observations in near real-time, AIRS can play a role in applications that fall under many of the NASA Applied Sciences focus areas. AIRS' involvement in applications is two years in, so what have we learned and what are the pitfalls? AIRS has made gains in drought applications with products under consideration for inclusion in the U.S. Drought Monitor national map, as also with volcano rapid response with an internal alert system and automated products to help characterize plume extent. Efforts are underway with cold air aloft for aviation, influenza outbreak prediction, and vector borne disease. But challenges have occurred both in validation and in crossing the "valley of death" between products and decision makers. AIRS now has improved maps of standard products to be distributed in near real-time via NASA LANCE and by the Goddard DAAC as part of the Obama's administration Big Earth Data Initiative. In addition internal tools have been developed to support development and distribution of our application products. This talk will communicate the status of the AIRS applications effort along with lessons learned, and provide examples of new product imagery designed to best communicate AIRS data.

  10. Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies.

    Science.gov (United States)

    Oudeyer, P-Y; Gottlieb, J; Lopes, M

    2016-01-01

    This chapter studies the bidirectional causal interactions between curiosity and learning and discusses how understanding these interactions can be leveraged in educational technology applications. First, we review recent results showing how state curiosity, and more generally the experience of novelty and surprise, can enhance learning and memory retention. Then, we discuss how psychology and neuroscience have conceptualized curiosity and intrinsic motivation, studying how the brain can be intrinsically rewarded by novelty, complexity, or other measures of information. We explain how the framework of computational reinforcement learning can be used to model such mechanisms of curiosity. Then, we discuss the learning progress (LP) hypothesis, which posits a positive feedback loop between curiosity and learning. We outline experiments with robots that show how LP-driven attention and exploration can self-organize a developmental learning curriculum scaffolding efficient acquisition of multiple skills/tasks. Finally, we discuss recent work exploiting these conceptual and computational models in educational technologies, showing in particular how intelligent tutoring systems can be designed to foster curiosity and learning. © 2016 Elsevier B.V. All rights reserved.

  11. Adopting a Design-Thinking Multidisciplinary Learning Approach: Integrating Mobile Applications into a Marketing Research Course

    Science.gov (United States)

    Zarzosa, Jennifer

    2018-01-01

    This article seeks to address the gap between marketing education and marketing practice by integrating a design-thinking (DT) methodology to the marketing research (MR) framework to achieve learning objectives that will enhance cross-functional, collaborative, conceptual, and technical skills. The mobile application marketing research project…

  12. Outdoor Education and Mobile Learning: An Autobiographical Narrative Using Application-Based Information and Resources

    Science.gov (United States)

    Nikolaeff, Ivan

    2016-01-01

    Although mobile learning using smartphones and applications or apps have the potential to inform and educate individuals in an outdoor environment, users may find that connectivity issues and basic knowledge of outdoor environments, including both physical and emotional, could be limited by what this technology provided. This study provided my…

  13. Usage of Mobile Phone Applications and Its Impact on Teaching and Learning

    Science.gov (United States)

    Davidovitch, Nitza; Yavich, Roman

    2018-01-01

    This study continues studies on the concept of leisure as culture dependent -- between tradition and modernity, while focusing on the usage of mobile phone applications and its impact on teaching and learning within a unique population. The study examined the association between having NetSpark on one's Smartphone and utilization of spare time…

  14. Trends and Lessons Learned in Interdisciplinary and Non-Business Case Method Application.

    Science.gov (United States)

    Anyansi-Archibong, Chi; Czuchry, Andrew J.; House, Claudia S.; Cicirello, Tony

    2000-01-01

    Presents results of a survey designed to test the level of development and application of cases in non-business courses such as sciences, mathematics, engineering, health, and technology. Findings support the growing popularity of the case method of teaching and learning outside the business domain. Suggests a framework for establishing win-win…

  15. Preparing Content-Rich Learning Environments with VPython and Excel, Controlled by Visual Basic for Applications

    Science.gov (United States)

    Prayaga, Chandra

    2008-01-01

    A simple interface between VPython and Microsoft (MS) Office products such as Word and Excel, controlled by Visual Basic for Applications, is described. The interface allows the preparation of content-rich, interactive learning environments by taking advantage of the three-dimensional (3D) visualization capabilities of VPython and the GUI…

  16. A basic framework for integrating social and collaborative applications into learning environments

    NARCIS (Netherlands)

    Moghnieh, Ayman; Blat, Josep

    2009-01-01

    Moghnieh, A., & Blat, J. (2009). A basic framework for integrating social and collaborative applications into learning environments. Proceedings of the first conference on Research, Reflection, and Innovations in Integrating ICT in Education: Vol. 2 (pp. 1057-1061). April, 22-24, 2009, Lisbon,

  17. Learning and Teaching with Web 2.0 Applications in Saudi K-12 Schools

    Science.gov (United States)

    Bingimlas, Khalid Abdullah

    2017-01-01

    This study aims to understand teachers' perspectives of the use of Web 2.0 applications in learning and teaching and to explore the barriers to their use. The sample of this study involved teachers from primary, middle, and secondary schools in the Kharj region. The total sample consisted of 352 teachers. A quantitative survey instrument was…

  18. The Optimization by Using the Learning Styles in the Adaptive Hypermedia Applications

    Science.gov (United States)

    Hamza, Lamia; Tlili, Guiassa Yamina

    2018-01-01

    This article addresses the learning style as a criterion for optimization of adaptive content in hypermedia applications. First, the authors present the different optimization approaches proposed in the area of adaptive hypermedia systems whose goal is to define the optimization problem in this type of system. Then, they present the architecture…

  19. Using Interactive "Shiny" Applications to Facilitate Research-Informed Learning and Teaching

    Science.gov (United States)

    Fawcett, Lee

    2018-01-01

    In this article we discuss our attempt to incorporate research-informed learning and teaching activities into a final year undergraduate Statistics course. We make use of the Shiny web-based application framework for R to develop "Shiny apps" designed to help facilitate student interaction with methods from recently published papers in…

  20. VARK Learning Preferences and Mobile Anatomy Software Application Use in Pre-Clinical Chiropractic Students

    Science.gov (United States)

    Meyer, Amanda J.; Stomski, Norman J.; Innes, Stanley I.; Armson, Anthony J.

    2016-01-01

    Ubiquitous smartphone ownership and reduced face-to-face teaching time may lead to students making greater use of mobile technologies in their learning. This is the first study to report on the prevalence of mobile gross anatomy software applications (apps) usage in pre-clinical chiropractic students and to ascertain if a relationship exists…

  1. Application of Learner Corpora to Second Language Learning and Teaching: An Overview

    Science.gov (United States)

    Xu, Qi

    2016-01-01

    The paper gives an overview of learner corpora and their application to second language learning and teaching. It is proposed that there are four core components in learner corpus research, namely, corpus linguistics expertise, a good background in linguistic theory, knowledge of SLA theory, and a good understanding of foreign language teaching…

  2. Learning Science in a Virtual Reality Application: The Impacts of Animated-Virtual Actors' Visual Complexity

    Science.gov (United States)

    Kartiko, Iwan; Kavakli, Manolya; Cheng, Ken

    2010-01-01

    As the technology in computer graphics advances, Animated-Virtual Actors (AVAs) in Virtual Reality (VR) applications become increasingly rich and complex. Cognitive Theory of Multimedia Learning (CTML) suggests that complex visual materials could hinder novice learners from attending to the lesson properly. On the other hand, previous studies have…

  3. Multimedia Instructional Tools' Impact on Student Motivation and Learning Strategies in Computer Applications Courses

    Science.gov (United States)

    Chapman, Debra; Wang, Shuyan

    2015-01-01

    Multimedia instructional tools (MMIT) have been identified as a way effectively and economically present instructional material. MMITs are commonly used in introductory computer applications courses as MMITs should be effective in increasing student knowledge and positively impact motivation and learning strategies, without increasing costs. This…

  4. Developing a Cross-Platform Web Application for Online EFL Vocabulary Learning Courses

    Science.gov (United States)

    Enokida, Kazumichi; Sakaue, Tatsuya; Morita, Mitsuhiro; Kida, Shusaku; Ohnishi, Akio

    2017-01-01

    In this paper, the development of a web application for self-access English vocabulary courses at a national university in Japan will be reported upon. Whilst the basic concepts are inherited from an old Flash-based online vocabulary learning system that had been long used at the university, the new HTML5-based app comes with several new features…

  5. Application of Resource Description Framework to Personalise Learning: Systematic Review and Methodology

    Science.gov (United States)

    Jevsikova, Tatjana; Berniukevicius, Andrius; Kurilovas, Eugenijus

    2017-01-01

    The paper is aimed to present a methodology of learning personalisation based on applying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on Linked Data, RDF "subject-predicate-object" triples, and Web Ontology Language (OWL) application in education…

  6. The Application of CSCL Scripts to Support Teaching and Learning for Children with Intellectual Disabilities.

    Science.gov (United States)

    Boyle, Bryan; Arnedillo-Sánchez, Inmaculada

    2017-01-01

    This paper describes the application of collaboration scripts to guide social interaction behaviours of children with intellectual disabilities. The use of such scripts demonstrate potential as a means of creating CSCL environments that can be used to provide children with communication and social interaction impairments with a platform for learning and practicing such skills in a meaningful social context.

  7. Application of Participatory Learning and Action Methods in Educational Technology Research A Rural Bangladeshi Case

    DEFF Research Database (Denmark)

    Khalid, Md. Saifuddin; Nyvang, Tom

    2013-01-01

    This chapter examines barriers and methods to identify barriers to educational technology in a rural technical vocational education and training institute in Bangladesh. It also examines how the application of participatory learning and action methods can provide information for barrier research ...

  8. NASA Applications and Lessons Learned in Reliability Engineering

    Science.gov (United States)

    Safie, Fayssal M.; Fuller, Raymond P.

    2011-01-01

    Since the Shuttle Challenger accident in 1986, communities across NASA have been developing and extensively using quantitative reliability and risk assessment methods in their decision making process. This paper discusses several reliability engineering applications that NASA has used over the year to support the design, development, and operation of critical space flight hardware. Specifically, the paper discusses several reliability engineering applications used by NASA in areas such as risk management, inspection policies, components upgrades, reliability growth, integrated failure analysis, and physics based probabilistic engineering analysis. In each of these areas, the paper provides a brief discussion of a case study to demonstrate the value added and the criticality of reliability engineering in supporting NASA project and program decisions to fly safely. Examples of these case studies discussed are reliability based life limit extension of Shuttle Space Main Engine (SSME) hardware, Reliability based inspection policies for Auxiliary Power Unit (APU) turbine disc, probabilistic structural engineering analysis for reliability prediction of the SSME alternate turbo-pump development, impact of ET foam reliability on the Space Shuttle System risk, and reliability based Space Shuttle upgrade for safety. Special attention is given in this paper to the physics based probabilistic engineering analysis applications and their critical role in evaluating the reliability of NASA development hardware including their potential use in a research and technology development environment.

  9. The added value of a gaming context and intelligent adaptation for a mobile application for vocabulary learning

    NARCIS (Netherlands)

    Sandberg, J.; Maris, M.; Hoogendoorn, P.

    2014-01-01

    Two groups participated in a study on the added value of a gaming context and intelligent adaptation for a mobile learning application. The control group worked at home for a fortnight with the original Mobile English Learning application (MEL-original) developed in a previous project. The

  10. “Computer Assisted Language Learning” (CALL

    Directory of Open Access Journals (Sweden)

    Nazlı Gündüz

    2005-10-01

    Full Text Available This article will provide an overview of computers; an overview of the history of CALL, itspros and cons, the internet, World Wide Web, Multimedia, and research related to the uses of computers in the language classroom. Also, it also aims to provide some background for the beginnerson using the Internet in language classes today. It discusses some of the common types of Internetactivities that are being used today, what the minimum requirements are for using the Internet forlanguage learning, and some easy activities you can adapt for your classes. Some special terminology related to computers will also be used in this paper. For example, computer assisted language learning(CALL refers to the sets of instructions which need to be loaded into the computer for it to be able to work in the language classroom. It should be borne in mind that CALL does not refer to the use of acomputer by a teacher to type out a worksheet or a class list or preparing his/her own teaching alone.Hardware refers to any computer equipment used, including the computer itself, the keyboard, screen (or the monitor, the disc-drive, and the printer. Software (computer programs refers to the sets of instructions which need to be loaded into the computer for it to be able to work.

  11. The Application of the Complex Field of Geodesy to an Entrance Level College Course using Cognitive Learning Techniques.

    Science.gov (United States)

    Menard, J.; Beall King, A.; Larson, P. B.

    2017-12-01

    The study of the shape of the Earth is called geodesy. It is a complex and rich field, encompassing GPS, the development of satellites to measure Earth, and the many applications of these measurements to better understand our planet. What is the best way to explain complex concepts to an entry-level college student, such as geodesy or gravitation? What is the most efficient way to peek a student's interest in an abstract field? Two people are walking side by side on a crowded street. Do they talk? Do they look at each other? Do they laugh together? Do they touch? Even though the bond between these two people cannot necessarily be physically seen, it is possible, by looking at their behavior towards each other, to determine whether or not they know each other. If they do, they are attracted to one another, walking together in the same direction, exchanging ideas or laughs. The Moon attracts the Earth's oceans, forming tides. The Earth attracts the Moon into staying in orbit. They are attracted to each other by the invisible yet quantifiable force of gravitation. In order to ensure that first year college students understand the concept and applications of geodesy, and find interest in the field, several teaching and learning techniques must be used. These techniques are compared to one another in terms of efficiency both by comparing the students' success through quizzes and discussions, and by comparing the students' enjoyment of and interest in the class through evaluations at the beginning and end of each class in order to assess how much material was learned, understood, and retained. This study is conducted via a short course with volunteer students. The course is a combination of lecture, discussion, experiments, and field work. Quizzes are used to evaluate not the students, but their improvement as a result of the efficacy of the teaching method. In class group and one on one discussions are used as the main part of the final grade.

  12. The difficult medical emergency call

    DEFF Research Database (Denmark)

    Møller, Thea Palsgaard; Kjærulff, Thora Majlund; Viereck, Søren

    2017-01-01

    BACKGROUND: Pre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as "unclear problem" in contrast to "symptom-specific" categories and the ......BACKGROUND: Pre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as "unclear problem" in contrast to "symptom-specific" categories...... and the effect of categorization on mortality. METHODS: Register-based study in a 2-year period based on emergency call data from the emergency medical dispatch center in Copenhagen combined with nationwide register data. Logistic regression analysis (N = 78,040 individuals) was used for identification...

  13. The Application of Carousel Feedback and Round Table Cooperative Learning Models to Improve Student's Higher Order Thinking Skills (HOTS) and Social Studies Learning Outcomes

    Science.gov (United States)

    Yusmanto, Harry; Soetjipto, Budi Eko; Djatmika, Ery Tri

    2017-01-01

    This Classroom Action Research aims to improve students' HOTS (High Order Thinking Skills) and Social Studies learning outcomes through the application of Carousel Feedback and Round Table cooperative learning methods. This study was based on a model proposed by Elliott and was implemented for three cycles. The subjects were 30 female students of…

  14. Criteria for Evaluating a Game-Based CALL Platform

    Science.gov (United States)

    Ní Chiaráin, Neasa; Ní Chasaide, Ailbhe

    2017-01-01

    Game-based Computer-Assisted Language Learning (CALL) is an area that currently warrants attention, as task-based, interactive, multimodal games increasingly show promise for language learning. This area is inherently multidisciplinary--theories from second language acquisition, games, and psychology must be explored and relevant concepts from…

  15. Integrating CALL into an Iranian EAP Course: Constraints and Affordances

    Science.gov (United States)

    Mehran, Parisa; Alizadeh, Mehrasa

    2015-01-01

    Iranian universities have recently displayed a growing interest in integrating Computer-Assisted Language Learning (CALL) into teaching/learning English. The English for Academic Purposes (EAP) context, however, is not keeping pace with the current changes since EAP courses are strictly text-based and exam-oriented, and little research has thus…

  16. The Learning Preferences of Applicants Who Interview for General Surgery Residency: A Multiinstitutional Study.

    Science.gov (United States)

    Kim, Roger H; Kurtzman, Scott H; Collier, Ashley N; Shabahang, Mohsen M

    Learning styles theory posits that learners have distinct preferences for how they assimilate new information. The VARK model categorizes learners based on combinations of 4 learning preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). A previous single institution study demonstrated that the VARK preferences of applicants who interview for general surgery residency are different from that of the general population and that learning preferences were associated with performance on standardized tests. This multiinstitutional study was conducted to determine the distribution of VARK preferences among interviewees for general surgery residency and the effect of those preferences on United States Medical Licensing Examination (USMLE) scores. The VARK learning inventory was administered to applicants who interviewed at 3 general surgery programs during the 2014 to 2015 academic year. The distribution of VARK learning preferences among interviewees was compared with that of the general population of VARK respondents. Performance on USMLE Step 1 and Step 2 Clinical Knowledge was analyzed for associations with VARK learning preferences. Chi-square, analysis of variance, and Dunnett's test were used for statistical analysis, with p learning modality. The distribution of VARK preferences of interviewees was different than that of the general population (p = 0.02). By analysis of variance, there were no overall differences in USMLE Step 1 and Step 2 Clinical Knowledge scores by VARK preference (p = 0.06 and 0.21, respectively). However, multiple comparison analysis using Dunnett's test revealed that interviewees with R preferences had significantly higher scores than those with multimodal preferences on USMLE Step 1 (239 vs. 222, p = 0.02). Applicants who interview for general surgery residency have a different pattern of VARK preferences than that of the general population. Interviewees with preferences for read/write learning modalities have higher scores

  17. The "physician on call patient engagement trial" (POPET): measuring the impact of a mobile patient engagement application on health outcomes and quality of life in allergic rhinitis and asthma patients.

    Science.gov (United States)

    Cingi, Cemal; Yorgancioglu, Arzu; Cingi, Can Cemal; Oguzulgen, Kıvılcım; Muluk, Nuray Bayar; Ulusoy, Seçkin; Orhon, Nezih; Yumru, Cengiz; Gokdag, Dursun; Karakaya, Gul; Çelebi, Şaban; Çobanoglu, H Bengü; Unlu, Halis; Aksoy, Mehmet Akif

    2015-06-01

    In this prospective, multicenter, randomized, controlled, double-blind study, we investigated the impact of a mobile patient engagement application on health outcomes and quality of life in allergic rhinitis (AR) and asthma patients. In total, 327 patients with diagnoses of persistent AR or mild-to-severe persistent asthma were randomized into 2 intervention groups and 2 control groups upon their admission at outpatient clinics. The intervention groups (POPET-AR and POPET-Asthma) received a mobile phone application ("physician on call patient engagement trial" [POPET]), enabling them to communicate with their physician, and record their health status and medication compliance. The AR groups completed the Rhinitis Quality of Life Questionnaire (RQLQ) at initiation and at the first month of the study. The asthma groups completed the Asthma Control Test (ACT) at initiation and at the third month of the study. The POPET-AR group showed better clinical improvement than the control group in terms of the overall RQLQ score as well in measures of general problems, activity, symptoms other than nose/eye, and emotion domains (p 19) compared with the control group (27%); this was statistically significant (p mobile engagement platform, such as POPET, can have a significant impact on health outcomes and quality of life in both AR and asthma, potentially decreasing the number of hospital admissions, repeat doctor visits, and losses in productivity. Improvements were seen in domains related to activity, productivity, perception of disease, and emotion. © 2015 ARS-AAOA, LLC.

  18. E-learning tools for education: regulatory aspects, current applications in radiology and future prospects.

    Science.gov (United States)

    Pinto, A; Selvaggi, S; Sicignano, G; Vollono, E; Iervolino, L; Amato, F; Molinari, A; Grassi, R

    2008-02-01

    E-learning, an abbreviation of electronic learning, indicates the provision of education and training on the Internet or the World Wide Web. The impact of networks and the Internet on radiology is undoubtedly important, as it is for medicine as a whole. The Internet offers numerous advantages compared with other mass media: it provides access to a large amount of information previously known only to individual specialists; it is flexible, permitting the use of images or video; and it allows linking to Web sites on a specific subject, thus contributing to further expand knowledge. Our purpose is to illustrate the regulatory aspects (including Internet copyright laws), current radiological applications and future prospects of e-learning. Our experience with the installation of an e-learning platform is also presented. We performed a PubMed search on the published literature (without time limits) dealing with e-learning tools and applications in the health sector with specific reference to radiology. The search included all study types in the English language with the following key words: e-learning, education, teaching, online exam, radiology and radiologists. The Fiaso study was referred to for the regulatory aspects of e-learning. The application of e-learning to radiology requires the development of a model that involves selecting and creating e-learning platforms, creating and technologically adapting multimedia teaching modules, creating and managing a unified catalogue of teaching modules, planning training actions, defining training pathways and Continuing Education in Medicine (CME) credits, identifying levels of teaching and technological complexity of support tools, sharing an organisational and methodological model, training the trainers, operators' participation and relational devices, providing training, monitoring progress of the activities, and measuring the effectiveness of training. Since 2004, a platform--LiveLearning--has been used at our

  19. Theories and control models and motor learning: clinical applications in neuro-rehabilitation.

    Science.gov (United States)

    Cano-de-la-Cuerda, R; Molero-Sánchez, A; Carratalá-Tejada, M; Alguacil-Diego, I M; Molina-Rueda, F; Miangolarra-Page, J C; Torricelli, D

    2015-01-01

    In recent decades there has been a special interest in theories that could explain the regulation of motor control, and their applications. These theories are often based on models of brain function, philosophically reflecting different criteria on how movement is controlled by the brain, each being emphasised in different neural components of the movement. The concept of motor learning, regarded as the set of internal processes associated with practice and experience that produce relatively permanent changes in the ability to produce motor activities through a specific skill, is also relevant in the context of neuroscience. Thus, both motor control and learning are seen as key fields of study for health professionals in the field of neuro-rehabilitation. The major theories of motor control are described, which include, motor programming theory, systems theory, the theory of dynamic action, and the theory of parallel distributed processing, as well as the factors that influence motor learning and its applications in neuro-rehabilitation. At present there is no consensus on which theory or model defines the regulations to explain motor control. Theories of motor learning should be the basis for motor rehabilitation. The new research should apply the knowledge generated in the fields of control and motor learning in neuro-rehabilitation. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  20. [Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment].

    Science.gov (United States)

    Hu, T H; Wan, L; Liu, T A; Wang, M W; Chen, T; Wang, Y H

    2017-12-01

    Deep learning and neural network models have been new research directions and hot issues in the fields of machine learning and artificial intelligence in recent years. Deep learning has made a breakthrough in the applications of image and speech recognitions, and also has been extensively used in the fields of face recognition and information retrieval because of its special superiority. Bone X-ray images express different variations in black-white-gray gradations, which have image features of black and white contrasts and level differences. Based on these advantages of deep learning in image recognition, we combine it with the research of bone age assessment to provide basic datum for constructing a forensic automatic system of bone age assessment. This paper reviews the basic concept and network architectures of deep learning, and describes its recent research progress on image recognition in different research fields at home and abroad, and explores its advantages and application prospects in bone age assessment. Copyright© by the Editorial Department of Journal of Forensic Medicine.

  1. The application of machine learning techniques in the clinical drug therapy.

    Science.gov (United States)

    Meng, Huan-Yu; Jin, Wan-Lin; Yan, Cheng-Kai; Yang, Huan

    2018-05-25

    The development of a novel drug is an extremely complicated process that includes the target identification, design and manufacture, and proper therapy of the novel drug, as well as drug dose selection, drug efficacy evaluation, and adverse drug reaction control. Due to the limited resources, high costs, long duration, and low hit-to-lead ratio in the development of pharmacogenetics and computer technology, machine learning techniques have assisted novel drug development and have gradually received more attention by researchers. According to current research, machine learning techniques are widely applied in the process of the discovery of new drugs and novel drug targets, the decision surrounding proper therapy and drug dose, and the prediction of drug efficacy and adverse drug reactions. In this article, we discussed the history, workflow, and advantages and disadvantages of machine learning techniques in the processes mentioned above. Although the advantages of machine learning techniques are fairly obvious, the application of machine learning techniques is currently limited. With further research, the application of machine techniques in drug development could be much more widespread and could potentially be one of the major methods used in drug development. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  2. APPLICATION OF LEARNING CYCLE MODEL (5E LEARNING WITH CHART VARIATION TOWARDSTUDENTS’ CREATIVITY

    Directory of Open Access Journals (Sweden)

    Suciati -

    2015-04-01

    Full Text Available This study aims to determine the differences in the application of the model LC (5E with a technique variation (interrelationship diagram / ID and affinity diagrams / AD of two classes of different school (XIPA-8 class of SMAN 3 Surakarta and class XIPA-6 of SMAN 3 Boyolali, toward the increase of students’ creativity. This research is a qualitative descriptive study. The results of this study, we can conclude that the application of the model LC (5E with a technique variation at two schools can improve students' creativity despite different levels of improvement.

  3. Development of an Android-based Learning Media Application for Visually Impaired Students

    Directory of Open Access Journals (Sweden)

    Nurul Azmi

    2017-06-01

    Full Text Available This research aims to develop the English for Disability (EFORD application, on Android-based learning english media for Visually Impaired students and determine its based this on assessment of matter expert, media expert, special needs teacher and students. The research method adopted in this research is Research and Development (R&D. The development of this application through five phases: (1 Analysis of problems, through observation and interviews. (2 Collecting information as product planning / analysis of the needs of the media as required of blind children. (3 The design phase of products such as the manufacture of flow and storyboard navigation map.(4 Design validation phase form of an expert assessment of the media is developed. (5 testing products phase, such as assessment of the application by blind students. The results of this research is EFORD application which is feasible to be used as English learning media for visual impairment application based on assessment: 1Media expert it's obtained a percentage scored 95%, include for very worthy category, 2Subject matter, expert its obtained percentage scored 75% include for worthy category and 3 Special needs teacher it's obtained a percentage scored 83% include for very worthy category. Upon demonstration, students indicated the positive response of ≥ 70% in each indicator. Therefore English learning media with Android based application English for Disability (EFORD is very feasible to be used as an English learning media especially grammar and speaking English content for students of visual impairment for a number of reasons. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

  4. Design of a Braille Learning Application for Visually Impaired Students in Bangladesh.

    Science.gov (United States)

    Nahar, Lutfun; Jaafar, Azizah; Ahamed, Eistiak; Kaish, A B M A

    2015-01-01

    Visually impaired students (VIS) are unable to get visual information, which has made their learning process complicated. This paper discusses the overall situation of VIS in Bangladesh and identifies major challenges that they are facing in getting education. The Braille system is followed to educate blind students in Bangladesh. However, lack of Braille based educational resources and technological solutions have made the learning process lengthy and complicated for VIS. As a developing country, Bangladesh cannot afford for the costly Braille related technological tools for VIS. Therefore, a mobile phone based Braille application, "mBRAILLE", for Android platform is designed to provide an easy Braille learning technology for VIS in Bangladesh. The proposed design is evaluated by experts in assistive technology for students with disabilities, and advanced learners of Braille. The application aims to provide a Bangla and English Braille learning platform for VIS. In this paper, we depict iterative (participatory) design of the application along with a preliminary evaluation with 5 blind subjects, and 1 sighted and 2 blind experts. The results show that the design scored an overall satisfaction level of 4.53 out of 5 by all respondents, indicating that our design is ready for the next step of development.

  5. E-Learning Application of Tarsier with Virtual Reality using Android Platform

    Science.gov (United States)

    Oroh, H. N.; Munir, R.; Paseru, D.

    2017-01-01

    Spectral Tarsier is a primitive primate that can only be found in the province of North Sulawesi. To study these primates can be used an e-learning application with Augmented Reality technology that uses a marker to confronted the camera computer to interact with three dimensions Tarsier object. But that application only shows tarsier object in three dimensions without habitat and requires a lot of resources because it runs on a Personal Computer. The same technology can be shown three dimensions’ objects is Virtual Reality to excess can make the user like venturing into the virtual world with Android platform that requires fewer resources. So, put on Virtual Reality technology using the Android platform that can make users not only to view and interact with the tarsiers but also the habitat. The results of this research indicate that the user can learn the Tarsier and habitat with good. Thus, the use of Virtual Reality technology in the e-learning application of tarsiers can help people to see, know, and learn about Spectral Tarsier.

  6. A Deep Learning Approach to LIBS Spectroscopy for Planetary Applications

    Science.gov (United States)

    Mullen, T. H.; Parente, M.; Gemp, I.; Dyar, M. D.

    2017-12-01

    The ChemCam instrument on the Curiousity rover has collected >440,000 laser-induced breakdown spectra (LIBS) from 1500 different geological targets since 2012. The team is using a pipeline of preprocessing and partial least squares techniques to predict compositions of surface materials [1]. Unfortunately, such multivariate techniques are plagued by hard-to-meet assumptions involving constant hyperparameter tuning to specific elements and the amount of training data available; if the whole distribution of data is not seen, the method will overfit to the training data and generalizability will suffer. The rover only has 10 calibration targets on-board that represent a small subset of the geochemical samples the rover is expected to investigate. Deep neural networks have been used to bypass these issues in other fields. Semi-supervised techniques allow researchers to utilized small labeled datasets and vast amounts of unlabeled data. One example is the variational autoencoder model, a semi-supervised generative model in the form of a deep neural network. The autoencoder assumes that LIBS spectra are generated from a distribution conditioned on the elemental compositions in the sample and some nuisance. The system is broken into two models: one that predicts elemental composition from the spectra and one that generates spectra from compositions that may or may not be seen in the training set. The synthesized spectra show strong agreement with geochemical conventions to express specific compositions. The predictions of composition show improved generalizability to PLS. Deep neural networks have also been used to transfer knowledge from one dataset to another to solve unlabeled data problems. Given that vast amounts of laboratry LIBS spectra have been obtained in the past few years, it is now feasible train a deep net to predict elemental composition from lab spectra. Transfer learning (manifold alignment or calibration transfer) [2] is then used to fine-tune the model

  7. The Applicability of eLearning in Community-Based Rehabilitation

    Directory of Open Access Journals (Sweden)

    Karly Michelle Dagys

    2015-12-01

    Full Text Available Community-based rehabilitation (CBR strives to enhance quality of life for individuals with disabilities and their families by increasing social participation and equalizing opportunities in the global south. Aligning with the Sustainable Development Goals, CBR also aims to address the high rates of poverty faced by individuals with disability. Empowerment, a pillar of CBR, involves strengthening the capacity of people with disabilities, their families, and their communities to ensure reduction of disparities. This article outlines a scoping review that guided by the question: “What is known from the existing literature about the applicability of eLearning for capacity building in CBR?” This review did not uncover literature related to eLearning in CBR; however findings suggest that other disciplines, not explicitly tied to CBR, currently use eLearning to educate and empower professionals in the global south. We argue that eLearning technology could be an effective and sustainable solution for CBR programming in the global south for capacity development. Such technology could increase individuals with disabilities’ access to education and could provide opportunities for wider dissemination of knowledge, beyond typical funding cycles. With a goal of informing future CBR practice in eLearning, this article concludes by highlighting key lessons taken from other disciplines that have utilized eLearning in the global south.

  8. Motivating Students for Project-based Learning for Application of Research Methodology Skills.

    Science.gov (United States)

    Tiwari, Ranjana; Arya, Raj Kumar; Bansal, Manoj

    2017-12-01

    Project-based learning (PBL) is motivational for students to learn research methodology skills. It is a way to engage and give them ownership over their own learning. The aim of this study is to use PBL for application of research methodology skills for better learning by encouraging an all-inclusive approach in teaching and learning rather than an individualized tailored approach. The present study was carried out for MBBS 6 th - and 7 th -semester students of community medicine. Students and faculties were sensitized about PBL and components of research methodology skills. They worked in small groups. The students were asked to fill the student feedback Questionnaire and the faculty was also asked to fill the faculty feedback Questionnaire. Both the Questionnaires were assessed on a 5 point Likert scale. After submitted projects, document analysis was done. A total of 99 students of the 6 th and 7 th semester were participated in PBL. About 90.91% students agreed that there should be continuation of PBL in subsequent batches. 73.74% felt satisfied and motivated with PBL, whereas 76.77% felt that they would be able to use research methodology in the near future. PBL requires considerable knowledge, effort, persistence, and self-regulation on the part of the students. They need to devise plans, gather information evaluate both the findings, and their approach. Facilitator plays a critical role in helping students in the process by shaping opportunity for learning, guiding students, thinking, and helping them construct new understanding.

  9. Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning

    Science.gov (United States)

    Benedetti, Marcello; Realpe-Gómez, John; Biswas, Rupak; Perdomo-Ortiz, Alejandro

    2016-08-01

    An increase in the efficiency of sampling from Boltzmann distributions would have a significant impact on deep learning and other machine-learning applications. Recently, quantum annealers have been proposed as a potential candidate to speed up this task, but several limitations still bar these state-of-the-art technologies from being used effectively. One of the main limitations is that, while the device may indeed sample from a Boltzmann-like distribution, quantum dynamical arguments suggest it will do so with an instance-dependent effective temperature, different from its physical temperature. Unless this unknown temperature can be unveiled, it might not be possible to effectively use a quantum annealer for Boltzmann sampling. In this work, we propose a strategy to overcome this challenge with a simple effective-temperature estimation algorithm. We provide a systematic study assessing the impact of the effective temperatures in the learning of a special class of a restricted Boltzmann machine embedded on quantum hardware, which can serve as a building block for deep-learning architectures. We also provide a comparison to k -step contrastive divergence (CD-k ) with k up to 100. Although assuming a suitable fixed effective temperature also allows us to outperform one-step contrastive divergence (CD-1), only when using an instance-dependent effective temperature do we find a performance close to that of CD-100 for the case studied here.

  10. Standardization of computer-assisted semen analysis using an e-learning application.

    Science.gov (United States)

    Ehlers, J; Behr, M; Bollwein, H; Beyerbach, M; Waberski, D

    2011-08-01

    Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other

  11. Application of machine learning techniques to lepton energy reconstruction in water Cherenkov detectors

    Science.gov (United States)

    Drakopoulou, E.; Cowan, G. A.; Needham, M. D.; Playfer, S.; Taani, M.

    2018-04-01

    The application of machine learning techniques to the reconstruction of lepton energies in water Cherenkov detectors is discussed and illustrated for TITUS, a proposed intermediate detector for the Hyper-Kamiokande experiment. It is found that applying these techniques leads to an improvement of more than 50% in the energy resolution for all lepton energies compared to an approach based upon lookup tables. Machine learning techniques can be easily applied to different detector configurations and the results are comparable to likelihood-function based techniques that are currently used.

  12. Social Learning Theory: its application in the context of nurse education.

    Science.gov (United States)

    Bahn, D

    2001-02-01

    Cognitive theories are fundamental to enable problem solving and the ability to understand and apply principles in a variety of situations. This article looks at Social Learning Theory, critically analysing its principles, which are based on observational learning and modelling, and considering its value and application in the context of nurse education. It also considers the component processes that will determine the outcome of observed behaviour, other than reinforcement, as identified by Bandura, namely: attention, retention, motor reproduction, and motivation. Copyright 2001 Harcourt Publishers Ltd.

  13. Make a 21st century phone call

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    Want to avoid roaming charges? Click to call anyone at CERN? How about merging your CERN landline with your existing smartphone? That's all easily done with Lync, CERN's new opt-in service that can take your calls to the next level.   The Lync application on Windows (left) and iPhone (right). Lync unites CERN's traditional telephone service with the digital sphere. "Lync gives you the gift of mobility, by letting you access your CERN landline on the go," explains Pawel Grzywaczewski, service manager of the Lync system. "Once you've registered your CERN telephone with the service, you can run the Lync application and make calls from a range of supported devices. No matter where you are in the world - be it simply out to lunch or off at an international conference - you can make a CERN call as though you were in the office. All you need is an Internet connection!" Following a recent upgrade, CERN's Lync service now has...

  14. House Calls in Private Practice.

    Science.gov (United States)

    Whittington, Ronaele

    1985-01-01

    Relates the experiences of a social worker in private practice who offered house calls as an ongoing setting for counseling and psychotherapy to individuals and families. Describes advantages and disadvantages, liability, and target populations. (JAC)

  15. Learnings From the Pilot Implementation of Mobile Medical Milestones Application.

    Science.gov (United States)

    Page, Cristen P; Reid, Alfred; Coe, Catherine L; Carlough, Martha; Rosenbaum, Daryl; Beste, Janalynn; Fagan, Blake; Steinbacher, Erika; Jones, Geoffrey; Newton, Warren P

    2016-10-01

    Implementation of the educational milestones benefits from mobile technology that facilitates ready assessments in the clinical environment. We developed a point-of-care resident evaluation tool, the Mobile Medical Milestones Application (M3App), and piloted it in 8 North Carolina family medicine residency programs. We sought to examine variations we found in the use of the tool across programs and explored the experiences of program directors, faculty, and residents to better understand the perceived benefits and challenges of implementing the new tool. Residents and faculty completed presurveys and postsurveys about the tool and the evaluation process in their program. Program directors were interviewed individually. Interviews and open-ended survey responses were analyzed and coded using the constant comparative method, and responses were tabulated under themes. Common perceptions included increased data collection, enhanced efficiency, and increased perceived quality of the information gathered with the M3App. Residents appreciated the timely, high-quality feedback they received. Faculty reported becoming more comfortable with the tool over time, and a more favorable evaluation of the tool was associated with higher utilization. Program directors reported improvements in faculty knowledge of the milestones and resident satisfaction with feedback. Faculty and residents credited the M3App with improving the quality and efficiency of resident feedback. Residents appreciated the frequency, proximity, and specificity of feedback, and faculty reported the app improved their familiarity with the milestones. Implementation challenges included lack of a physician champion and competing demands on faculty time.

  16. Incentive structure in team-based learning: graded versus ungraded Group Application exercises.

    Science.gov (United States)

    Deardorff, Adam S; Moore, Jeremy A; McCormick, Colleen; Koles, Paul G; Borges, Nicole J

    2014-04-21

    Previous studies on team-based learning (TBL) in medical education demonstrated improved learner engagement, learner satisfaction, and academic performance; however, a paucity of information exists on modifications of the incentive structure of "traditional" TBL practices. The current study investigates the impact of modification to conventional Group Application exercises by examining student preference and student perceptions of TBL outcomes when Group Application exercises are excluded from TBL grades. During the 2009-2010 and 2010-2011 academic years, 175 students (95.6% response rate) completed a 22-item multiple choice survey followed by 3 open response questions at the end of their second year of medical school. These students had participated in a TBL supplemented preclinical curriculum with graded Group Application exercises during year one and ungraded Group Application exercises during year two of medical school. Chi-square analyses showed significant differences between grading categories for general assessment of TBL, participation and communication, intra-team discussion, inter-team discussion, student perceptions of their own effort and development of teamwork skills. Furthermore, 83.8% of students polled prefer ungraded Group Application exercises with only 7.2% preferring graded and 9.0% indicating no preference. The use of ungraded Group Application exercises appears to be a successful modification of TBL, making it more "student-friendly" while maintaining the goals of active learning and development of teamwork skills.

  17. Consensus based on learning game theory with a UAV rendezvous application

    Directory of Open Access Journals (Sweden)

    Zhongjie Lin

    2015-02-01

    Full Text Available Multi-agent cooperation problems are becoming more and more attractive in both civilian and military applications. In multi-agent cooperation problems, different network topologies will decide different manners of cooperation between agents. A centralized system will directly control the operation of each agent with information flow from a single centre, while in a distributed system, agents operate separately under certain communication protocols. In this paper, a systematic distributed optimization approach will be established based on a learning game algorithm. The convergence of the algorithm will be proven under the game theory framework. Two typical consensus problems will be analyzed with the proposed algorithm. The contributions of this work are threefold. First, the designed algorithm inherits the properties in learning game theory for problem simplification and proof of convergence. Second, the behaviour of learning endows the algorithm with robustness and autonomy. Third, with the proposed algorithm, the consensus problems will be analyzed from a novel perspective.

  18. [Current teaching, learning and examination methods in medical education and potential applications in rehabilitative issues].

    Science.gov (United States)

    Schwarzkopf, S R; Morfeld, M; Gülich, M; Lay, W; Horn, K; Mau, W

    2007-04-01

    With introduction of the new Federal Medical Licensing Regulations (Approbationsordnung) in Germany, integrated teaching in "Rehabilitation, Physical Medicine, Naturopathic Treatment" (Querschnittsbereich Q12) has become obligatory for the first time. Furthermore, the new Regulations require the medical faculties in Germany to realize an innovative didactic orientation in teaching. This paper provides an overview of recent applications of teaching techniques and examination methods in medical education with special consideration of the new integrated course Q12 and further teaching methods related to rehabilitative issues. Problem-oriented learning (POL), problem-based learning (PBL), bedside teaching, eLearning, and the examination methods Objective Structured Clinical Examination (OSCE) and Triple Jump are in the focus. This overview is intended as the basis for subsequent publications of the Commission for Undergraduate and Postgraduate Training of the German Society of Rehabilitation Science (DGRW), which will present examples of innovative teaching material.

  19. Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development.

    Science.gov (United States)

    Margolis, Alvaro; Parboosingh, John

    2015-01-01

    Prior interpersonal relationships and interactivity among members of professional associations may impact the learning process in continuing medical education (CME). On the other hand, CME programs that encourage interactivity between participants may impact structures and behaviors in these professional associations. With the advent of information and communication technologies, new communication spaces have emerged that have the potential to enhance networked learning in national and international professional associations and increase the effectiveness of CME for health professionals. In this article, network science, based on the application of network theory and other theories, is proposed as an approach to better understand the contribution networking and interactivity between health professionals in professional communities make to their learning and adoption of new practices over time. © 2015 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on Continuing Medical Education, Association for Hospital Medical Education.

  20. Applications of a methodology for the analysis of learning trends in nuclear power plants

    International Nuclear Information System (INIS)

    Cho, Hang Youn; Choi, Sung Nam; Yun, Won Yong

    1995-01-01

    A methodology is applied to identify the learning trend related to the safety and availability of U.S. commercial nuclear power plants. The application is intended to aid in reducing likelihood of human errors. To assure that the methodology can be easily adapted to various types of classification schemes of operation data, a data bank classified by the Transient Analysis Classification and Evaluation(TRACE) scheme is selected for the methodology. The significance criteria for human-initiated events affecting the systems and for events caused by human deficiencies were used. Clustering analysis was used to identify the learning trend in multi-dimensional histograms. A computer code is developed based on the K-Means algorithm and applied to find the learning period in which error rates are monotonously decreasing with plant age