Group Random Call Can Positively Affect Student In-Class Clicker Discussions

PubMed Central

Knight, Jennifer K.; Wise, Sarah B.; Sieke, Scott

2016-01-01

Understanding how instructional techniques and classroom norms influence in-class student interactions has the potential to positively impact student learning. Many previous studies have shown that students benefit from discussing their ideas with one another in class. In this study of introductory biology students, we explored how using an in-class accountability system might affect the nature of clicker-question discussions. Clicker-question discussions in which student groups were asked to report their ideas voluntarily (volunteer call) were compared with discussions in which student groups were randomly selected to report their ideas (random call). We hypothesized that the higher-accountability condition (random call) would impress upon students the importance of their discussions and thus positively influence how they interacted. Our results suggest that a higher proportion of discussions in the random call condition contained exchanges of reasoning, some forms of questioning, and both on- and off-topic comments compared with discussion in the volunteer call condition. Although group random call does not impact student performance on clicker questions, the positive impact of this instructional approach on exchanges of reasoning and other features suggests it may encourage some types of student interactions that support learning. PMID:27856544

Implications of Research on Human Memory for CALL Design.

ERIC Educational Resources Information Center

Forester, Lee

2002-01-01

Offers a brief overview of what is generally accepted about how human memory works as it applied to computer assisted language learning (CALL). Discusses a number of interactions from various CALL products in light of the research summarized. (Author/VWL)

An Action Research Approach to the Design, Development and Evaluation of an Interactive E-Learning Tutorial in a Cognitive Domain

ERIC Educational Resources Information Center

de Villiers, M. Ruth

2007-01-01

The teaching and learning of a complex section in "Theoretical Computer Science 1" in a distance-education context at the University of South Africa (UNISA) has been enhanced by a supplementary e-learning application called "Relations," which interactively teaches mathematical skills in a cognitive domain. It has tutorial and…

Dialogue-Based Call: A Case Study on Teaching Pronouns

ERIC Educational Resources Information Center

Vlugter, P.; Knott, A.; McDonald, J.; Hall, C.

2009-01-01

We describe a computer assisted language learning (CALL) system that uses human-machine dialogue as its medium of interaction. The system was developed to help students learn the basics of the Maori language and was designed to accompany the introductory course in Maori running at the University of Otago. The student engages in a task-based…

Interlanguage Pragmatics, Curricular Innovation, and Digital Technologies

ERIC Educational Resources Information Center

Sykes, Julie M.

2018-01-01

Human interaction is fundamentally about shared understanding, created when interlocutors engage with one another around their own intended meaning and the intended meaning of others. Pragmatics is at the core of this interaction. The fields of computer-assisted language learning (CALL) and the teaching and learning of interlanguage pragmatics…

Useful Expressions for Implementing Cooperative Learning in English

ERIC Educational Resources Information Center

Asakawa, Machiko; Kanamaru, Ayako; Plaza, Taron; Shiramizu, Chie

2016-01-01

With the Ministry of Education, Sports, Science and Technology calling for junior and senior high school English classes in Japan to be more communicative and taught in English, teachers need effective tools to help make their classrooms more interactive. Cooperative learning activities have the potential to increase interaction among students and…

Mobile Learning in Distance Education: Utility or Futility?

ERIC Educational Resources Information Center

Koole, Marguerite; McQuilkin, Janice Letkeman; Ally, Mohamed

2010-01-01

Can mobile technology improve flexibility and quality of interaction for graduate students in distance programs? This paper reports the results of an innovative study exploring the usability, learning, and social interaction of mobile access to online course materials at a Canadian distance education university. Through a system called MobiGlam,…

Meaning-Making in Online Language Learner Interactions via Desktop Videoconferencing

ERIC Educational Resources Information Center

Satar, H. Müge

2016-01-01

Online language learning and teaching in multimodal contexts has been identified as one of the key research areas in computer-aided learning (CALL) (Lamy, 2013; White, 2014). This paper aims to explore meaning-making in online language learner interactions via desktop videoconferencing (DVC) and in doing so illustrate multimodal transcription and…

Program Evaluation: The Board Game--An Interactive Learning Tool for Evaluators

ERIC Educational Resources Information Center

Febey, Karen; Coyne, Molly

2007-01-01

The field of program evaluation lacks interactive teaching tools. To address this pedagogical issue, the authors developed a collaborative learning technique called Program Evaluation: The Board Game. The authors present the game and its development in this practitioner-oriented article. The evaluation board game is an adaptable teaching tool…

Student Approaches to Learning and Studying. Research Monograph.

ERIC Educational Resources Information Center

Biggs, John B.

A common thread in contemporary research in student learning refers to the ways in which students go about learning. A theory of learning is presented that accentuates the interaction between the person and the situation. Research evidence implies a form of meta-cognition called meta-learning, the awareness of students of their own learning…

Computer Assisted Language Learning. Routledge Studies in Computer Assisted Language Learning

ERIC Educational Resources Information Center

Pennington, Martha

2011-01-01

Computer-assisted language learning (CALL) is an approach to language teaching and learning in which computer technology is used as an aid to the presentation, reinforcement and assessment of material to be learned, usually including a substantial interactive element. This books provides an up-to date and comprehensive overview of…

Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

PubMed

Shimizu, Toshihiko; Saegusa, Ryo; Ikemoto, Shuhei; Ishiguro, Hiroshi; Metta, Giorgio

2015-05-01

This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply this knowledge during different physical interactions between a robot and its surroundings. The phase transfer sequence represents the temporal order of the changing points in multiple time sequences. It encodes the dynamical aspects of the sequences so as to absorb the gaps in timing and amplitude derived from interaction changes. The phase transfer sequence was evaluated in reinforcement learning of sitting-up and walking motions conducted by a real humanoid robot and compatible simulator. In both tasks, the robotic motions were less dependent on physical interactions when learned by the proposed feature than by conventional similarity measurements. Phase transfer sequence also enhanced the convergence speed of motion learning. Our proposed feature is original primarily because it absorbs the gaps caused by changes of the originally acquired physical interactions, thereby enhancing the learning speed in subsequent interactions.

Learning and signal copying facilitate communication among bird species

PubMed Central

Wheatcroft, David; Price, Trevor D.

2013-01-01

Signals relevant to different sets of receivers in different contexts create a conflict for signal design. A classic example is vocal alarm signals, often used both during intraspecific and interspecific interactions. How can signals alert individuals from a variety of other species in some contexts, while also maintaining efficient communication among conspecifics? We studied heterospecific responses to avian alarm signals that drive the formation of anti-predator groups but are also used during intraspecific interactions. In three species-rich communities in the western Himalayas, alarm signals vary drastically across species. We show that, independently of differences in their calls, birds respond strongly to the alarm signals of other species with which they co-occur and much more weakly to those of species with which they do not co-occur. These results suggest that previous exposure and learning maintain heterospecific responses in the face of widespread signal divergence. At an area where only two species regularly interact, one species' calls incorporate the call of the other. We demonstrate experimentally that signal copying allows strong responses even without previous exposure and suggest that such hybrid calls may be especially favoured when pairwise interactions between species are strong. PMID:23446529

Helping Students Develop Statistical Reasoning: Implementing a Statistical Reasoning Learning Environment

ERIC Educational Resources Information Center

Garfield, Joan; Ben-Zvi, Dani

2009-01-01

This article describes a model for an interactive, introductory secondary- or tertiary-level statistics course that is designed to develop students' statistical reasoning. This model is called a "Statistical Reasoning Learning Environment" and is built on the constructivist theory of learning.

Combining advanced networked technology and pedagogical methods to improve collaborative distance learning.

PubMed

Staccini, Pascal; Dufour, Jean-Charles; Raps, Hervé; Fieschi, Marius

2005-01-01

Making educational material be available on a network cannot be reduced to merely implementing hypermedia and interactive resources on a server. A pedagogical schema has to be defined to guide students for learning and to provide teachers with guidelines to prepare valuable and upgradeable resources. Components of a learning environment, as well as interactions between students and other roles such as author, tutor and manager, can be deduced from cognitive foundations of learning, such as the constructivist approach. Scripting the way a student will to navigate among information nodes and interact with tools to build his/her own knowledge can be a good way of deducing the features of the graphic interface related to the management of the objects. We defined a typology of pedagogical resources, their data model and their logic of use. We implemented a generic and web-based authoring and publishing platform (called J@LON for Join And Learn On the Net) within an object-oriented and open-source programming environment (called Zope) embedding a content management system (called Plone). Workflow features have been used to mark the progress of students and to trace the life cycle of resources shared by the teaching staff. The platform integrated advanced on line authoring features to create interactive exercises and support live courses diffusion. The platform engine has been generalized to the whole curriculum of medical studies in our faculty; it also supports an international master of risk management in health care and will be extent to all other continuous training diploma.

Computer-Assisted Language Learning: Diversity in Research and Practice

ERIC Educational Resources Information Center

Stockwell, Glenn, Ed.

2012-01-01

Computer-assisted language learning (CALL) is an approach to teaching and learning languages that uses computers and other technologies to present, reinforce, and assess material to be learned, or to create environments where teachers and learners can interact with one another and the outside world. This book provides a much-needed overview of the…

Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills

ERIC Educational Resources Information Center

Chin, Doris B.; Blair, Kristen P.; Schwartz, Daniel L.

2016-01-01

In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning,…

Accounting Experiences in Collaborative Learning

ERIC Educational Resources Information Center

Edmond, Tracie; Tiggeman, Theresa

2009-01-01

This paper discusses incorporating collaborative learning into accounting classes as a response to the Accounting Education Change Commission's call to install a more active student learner in the classroom. Collaborative learning requires the students to interact with each other and with the material within the classroom setting. It is a…

Increasing Interactivity in the Online Learning Environment: Using Digital Tools to Support Students in Socially Constructed Meaning-Making

ERIC Educational Resources Information Center

Moreillon, Judi

2015-01-01

As more and more library and LIS education migrates to the online environment, college and university faculty are called upon to expand their pedagogy. Interactivity has been cited as one factor in attracting and retaining students in online courses and programs. LIS educators can reach outside the online learning management system (LMS) to…

Engaging Students in Learning: An Application with Quantitative Psychology

ERIC Educational Resources Information Center

Harlow, Lisa L.; Burkholder, Gary J.; Morrow, Jennifer A.

2006-01-01

In response to calls for more engaging and interactive pedagogy, we simultaneously implemented 4 rousing learning activities: peer-mentored learning, student reports of what was clear (or not) from a previous lecture, consult corners where student groups provided course-informed solutions to problem-based scenarios, and applied projects presented…

Competencies for Information Professionals in Learning Labs and Makerspaces

ERIC Educational Resources Information Center

Koh, Kyungwon; Abbas, June

2015-01-01

An increasing number of libraries and museums provide transformative learning spaces, often called "Learning Labs" and "Makerspaces." These spaces invite users to explore traditional and digital media, interact with mentors and peers, and engage in creative projects. For these spaces and programs to be sustainable, it is…

EVA: An Interactive Web-Based Collaborative Learning Environment

ERIC Educational Resources Information Center

Sheremetov, Leonid; Arenas, Adolfo Guzman

2002-01-01

In this paper, a Web-based learning environment developed within the project called Virtual Learning Spaces (EVA, in Spanish) is described. The environment is composed of knowledge, collaboration, consulting and experimentation spaces as a collection of agents and conventional software components working over the knowledge domains. All user…

Context-dependent vocal mimicry in a passerine bird.

PubMed

Goodale, Eben; Kotagama, Sarath W

2006-04-07

How do birds select the sounds they mimic, and in what contexts do they use vocal mimicry? Some birds show a preference for mimicking other species' alarm notes, especially in situations when they appear to be alarmed. Yet no study has demonstrated that birds change the call types they mimic with changing contexts. We found that greater racket-tailed drongos (Dicrurus paradiseus) in the rainforest of Sri Lanka mimic the calls of predators and the alarm-associated calls of other species more often than would be expected from the frequency of these sounds in the acoustic environment. Drongos include this alarm-associated mimicry in their own alarm vocalizations, while incorporating other species' songs and contact calls in their own songs. Drongos show an additional level of context specificity by mimicking other species' ground predator-specific call types when mobbing. We suggest that drongos learn other species' calls and their contexts while interacting with these species in mixed flocks. The drongos' behaviour demonstrates that alarm-associated calls can have learned components, and that birds can learn the appropriate usage of calls that encode different types of information.

Context-dependent vocal mimicry in a passerine bird

PubMed Central

Goodale, Eben; Kotagama, Sarath W

2005-01-01

How do birds select the sounds they mimic, and in what contexts do they use vocal mimicry? Some birds show a preference for mimicking other species' alarm notes, especially in situations when they appear to be alarmed. Yet no study has demonstrated that birds change the call types they mimic with changing contexts. We found that greater racket-tailed drongos (Dicrurus paradiseus) in the rainforest of Sri Lanka mimic the calls of predators and the alarm-associated calls of other species more often than would be expected from the frequency of these sounds in the acoustic environment. Drongos include this alarm-associated mimicry in their own alarm vocalizations, while incorporating other species' songs and contact calls in their own songs. Drongos show an additional level of context specificity by mimicking other species' ground predator-specific call types when mobbing. We suggest that drongos learn other species' calls and their contexts while interacting with these species in mixed flocks. The drongos' behaviour demonstrates that alarm-associated calls can have learned components, and that birds can learn the appropriate usage of calls that encode different types of information. PMID:16618682

Social Networks-Based Adaptive Pairing Strategy for Cooperative Learning

ERIC Educational Resources Information Center

Chuang, Po-Jen; Chiang, Ming-Chao; Yang, Chu-Sing; Tsai, Chun-Wei

2012-01-01

In this paper, we propose a grouping strategy to enhance the learning and testing results of students, called Pairing Strategy (PS). The proposed method stems from the need of interactivity and the desire of cooperation in cooperative learning. Based on the social networks of students, PS provides members of the groups to learn from or mimic…

The World as Functional Learning Environment: An Intercultural Learning Network. Interactive Technology Laboratory Report #7.

ERIC Educational Resources Information Center

Cohen, Moshe; And Others

Electronic networks provide new opportunities to create functional learning environments which allow students in many different locations to carry out joint educational activities. A set of participant observation studies was conducted in the context of a cross-cultural, cross-language network called the Intercultural Learning Network in order to…

Group dynamics and social interaction in a South Asian online learning forum for faculty development of medical teachers.

PubMed

Anshu; Sharma, M; Burdick, W P; Singh, T

2010-04-01

Group dynamics of online medical faculty development programs have not been analyzed and reported in literature. Knowledge of the types of content of posted messages will help to understand group dynamics and promote participation in an asynchronous learning environment. This paper assesses group dynamics and social interactivity in an online learning environment for medical teachers in the South Asian context. Participants of a medical education fellowship program conducted by the Foundation for Advancement of International Medical Education and Research (FAIMER) Regional Institute at Christian Medical College, Ludhiana (CMCL) in India interact on a listserv called the Mentoring-Learning Web (ML-Web). Monthly topics for online discussion are chosen by fellows through a standard tool called "multi-voting". Fellows volunteer to moderate sessions and direct the pace of the discussion. We analyzed the content and process of the discussion of one particular month. The emails were categorized as those that reflected cognitive presence (dealing with construction and exploration of knowledge), teacher presence (dealing with instructional material and learning resources), and social presence, or were administrative in nature. Social emails were further classified as: affective, cohesive and interactive. Social emails constituted one-third of the total emails. Another one-quarter of the emails dealt with sharing of resources and teacher presence, while cognitive emails comprised 36.2% of the total. More than half of the social emails were affective, while a little less than one-third were cohesive. Social posts are an inevitable part of online learning. These posts promote bonding between learners and contribute to better interaction and collaboration in online learning. Moderators should be aware of their presence and use them as tools to promote interactivity.

Communicating and Interacting: An Exploration of the Changing Roles of Media in CALL/CMC

ERIC Educational Resources Information Center

Hoven, Debra

2006-01-01

The sites of learning and teaching using CALL are shifting from CD-based, LAN-based, or stand-alone programs to the Internet. As this change occurs, pedagogical approaches to using CALL are also shifting to forms which better exploit the communication, collaboration, and negotiation aspects of the Internet. Numerous teachers and designers have…

Boosting compound-protein interaction prediction by deep learning.

PubMed

Tian, Kai; Shao, Mingyu; Wang, Yang; Guan, Jihong; Zhou, Shuigeng

2016-11-01

The identification of interactions between compounds and proteins plays an important role in network pharmacology and drug discovery. However, experimentally identifying compound-protein interactions (CPIs) is generally expensive and time-consuming, computational approaches are thus introduced. Among these, machine-learning based methods have achieved a considerable success. However, due to the nonlinear and imbalanced nature of biological data, many machine learning approaches have their own limitations. Recently, deep learning techniques show advantages over many state-of-the-art machine learning methods in some applications. In this study, we aim at improving the performance of CPI prediction based on deep learning, and propose a method called DL-CPI (the abbreviation of Deep Learning for Compound-Protein Interactions prediction), which employs deep neural network (DNN) to effectively learn the representations of compound-protein pairs. Extensive experiments show that DL-CPI can learn useful features of compound-protein pairs by a layerwise abstraction, and thus achieves better prediction performance than existing methods on both balanced and imbalanced datasets. Copyright © 2016 Elsevier Inc. All rights reserved.

Critical Domains of Culturally Relevant Leadership Learning: A Call to Transform Leadership Programs.

PubMed

Jones, Tamara Bertrand; Guthrie, Kathy L; Osteen, Laura

2016-12-01

This chapter introduces the critical domains of culturally relevant leadership learning. The model explores how capacity, identity, and efficacy of student leaders interact with dimensions of campus climate. © 2016 Wiley Periodicals, Inc., A Wiley Company.

Automatic Dialogue Scoring for a Second Language Learning System

ERIC Educational Resources Information Center

Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil

2016-01-01

This paper presents an automatic dialogue scoring approach for a Dialogue-Based Computer-Assisted Language Learning (DB-CALL) system, which helps users learn language via interactive conversations. The system produces overall feedback according to dialogue scoring to help the learner know which parts should be more focused on. The scoring measures…

Adaptive Synchronization of Semantically Compressed Instructional Videos for Collaborative Distance Learning

ERIC Educational Resources Information Center

Phung, Dan; Valetto, Giuseppe; Kaiser, Gail E.; Liu, Tiecheng; Kender, John R.

2007-01-01

The increasing popularity of online courses has highlighted the need for collaborative learning tools for student groups. In this article, we present an e-Learning architecture and adaptation model called AI2TV (Adaptive Interactive Internet Team Video), which allows groups of students to collaboratively view instructional videos in synchrony.…

Open Educational Resources for Call Teacher Education: The iTILT Interactive Whiteboard Project

ERIC Educational Resources Information Center

Whyte, Shona; Schmid, Euline Cutrim; van Hazebrouck Thompson, Sanderin; Oberhofer, Margret

2014-01-01

This paper discusses challenges and opportunities arising during the development of open educational resources (OERs) to support communicative language teaching (CLT) with interactive whiteboards (IWBs). iTILT (interactive Technologies in Language Teaching), a European Lifelong Learning Project, has two main aims: (a) to promote "best…

Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores

NASA Astrophysics Data System (ADS)

Bruun, Jesper; Brewe, Eric

2013-12-01

The role of student interactions in learning situations is a foundation of sociocultural learning theory, and social network analysis can be used to quantify student relations. We discuss how self-reported student interactions can be viewed as processes of meaning making and use this to understand how quantitative measures that describe the position in a network, called centrality measures, can be understood in terms of interactions that happen in the context of a university physics course. We apply this discussion to an empirical data set of self-reported student interactions. In a weekly administered survey, first year university students enrolled in an introductory physics course at a Danish university indicated with whom they remembered having communicated within different interaction categories. For three categories pertaining to (1) communication about how to solve physics problems in the course (called the PS category), (2) communications about the nature of physics concepts (called the CD category), and (3) social interactions that are not strictly related to the content of the physics classes (called the ICS category) in the introductory mechanics course, we use the survey data to create networks of student interaction. For each of these networks, we calculate centrality measures for each student and correlate these measures with grades from the introductory course, grades from two subsequent courses, and the pretest Force Concept Inventory (FCI) scores. We find highly significant correlations (p<0.001) between network centrality measures and grades in all networks. We find the highest correlations between network centrality measures and future grades. In the network composed of interactions regarding problem solving (the PS network), the centrality measures hide and PageRank show the highest correlations (r=-0.32 and r=0.33, respectively) with future grades. In the CD network, the network measure target entropy shows the highest correlation (r=0.45) with future grades. In the network composed solely of noncontent related social interactions, these patterns of correlation are maintained in the sense that these network measures show the highest correlations and maintain their internal ranking. Using hierarchical linear regression, we find that a linear model that adds the network measures hide and target entropy, calculated on the ICS network, significantly improves a base model that uses only the FCI pretest scores from the beginning of the semester. Though one should not infer causality from these results, they do point to how social interactions in class are intertwined with academic interactions. We interpret this as an integral part of learning, and suggest that physics is a robust example.

Malaysian Perspective: Designing Interactive Multimedia Learning Environment for Moral Values Education

ERIC Educational Resources Information Center

Mukti, Norhayati Abd; Hwa, Siew Pei

2004-01-01

The field of education is faced with various new challenges in meeting the demands of teaching and learning for the 21st century. One of the new challenges is the call for the integration of ICT (Information and communication technologies) in teaching and learning as an alternative mode of instruction delivery. Multimedia technology for instance,…

Spider World: A Robot Language for Learning to Program. Assessing the Cognitive Consequences of Computer Environments for Learning (ACCCEL).

ERIC Educational Resources Information Center

Dalbey, John; Linn, Marcia

Spider World is an interactive program designed to help individuals with no previous computer experience to learn the fundamentals of programming. The program emphasizes cognitive tasks which are central to programming and provides significant problem-solving opportunities. In Spider World, the user commands a hypothetical robot (called the…

"Deja Vu"? A Decade of Research on Language Laboratories, Television and Video in Language Learning

ERIC Educational Resources Information Center

Vanderplank, Robert

2010-01-01

The developments in the last ten years in the form of DVD, streaming video, video on demand, interactive television and digital language laboratories call for an assessment of the research into language teaching and learning making use of these technologies and the learning paradigms underpinning them. This paper surveys research on language…

Towards a Pedagogical Model for Science Education: Bridging Educational Contexts through a Blended Learning Approach

ERIC Educational Resources Information Center

Bidarra, José; Rusman, Ellen

2017-01-01

This paper proposes a design framework to support science education through blended learning, based on a participatory and interactive approach supported by ICT-based tools, called "Science Learning Activities Model" (SLAM). The development of this design framework started as a response to complex changes in society and education (e.g.…

Learning Practice and Technology: Extending the Structurational Practice Lens to Educational Technology Research

ERIC Educational Resources Information Center

Halperin, Ruth

2017-01-01

Scholars in the field of educational technology have been calling for robust use of social theory within learning technology research. In view of that, interest has been noted in applying Giddens' structuration theory to the understanding of human interaction with technology in learning settings. However, only few such attempts have been published…

"The Craft so Long to Lerne": Aspects of Time in Language Learning

ERIC Educational Resources Information Center

Oxford, Rebecca L.

2017-01-01

Time factors complexly, dynamically interact with each other and with other contextualized variables in language learning. The time-tied nature of language learning is captured in what I call the "time-prism," which is the central symbol of temporality in this paper. The facets of the prism discussed in this article are (1) language…

Young Pianists Exploring Improvisation Using Interactive Music Technology

ERIC Educational Resources Information Center

Rowe, Victoria; Triantafyllaki, Angeliki; Anagnostopoulou, Xristina

2015-01-01

The use of music technology in the enhancement of young pianists' musical improvisations has been scarcely explored in instrumental music teaching and learning research. In the present study, 19 piano pupils aged 6-10 from the UK and Greece used an interactive improvisation system called Musical Interaction Relying On Reflexion (MIROR)-Impro for…

Task-Induced Development of Hinting Behaviors in Online Task-Oriented L2 Interaction

ERIC Educational Resources Information Center

Balaman, Ufuk

2018-01-01

Technology-mediated task settings are rich interactional domains in which second language (L2) learners manage a multitude of interactional resources for task accomplishment. The affordances of these settings have been repeatedly addressed in computer-assisted language learning (CALL) literature mainly based on theory-informed task design…

Group Random Call Can Positively Affect Student In-Class Clicker Discussions.

PubMed

Knight, Jennifer K; Wise, Sarah B; Sieke, Scott

2016-01-01

Understanding how instructional techniques and classroom norms influence in-class student interactions has the potential to positively impact student learning. Many previous studies have shown that students benefit from discussing their ideas with one another in class. In this study of introductory biology students, we explored how using an in-class accountability system might affect the nature of clicker-question discussions. Clicker-question discussions in which student groups were asked to report their ideas voluntarily (volunteer call) were compared with discussions in which student groups were randomly selected to report their ideas (random call). We hypothesized that the higher-accountability condition (random call) would impress upon students the importance of their discussions and thus positively influence how they interacted. Our results suggest that a higher proportion of discussions in the random call condition contained exchanges of reasoning, some forms of questioning, and both on- and off-topic comments compared with discussion in the volunteer call condition. Although group random call does not impact student performance on clicker questions, the positive impact of this instructional approach on exchanges of reasoning and other features suggests it may encourage some types of student interactions that support learning. © 2016 J. K. Knight et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Tele-EnREDando.com: A Multimedia WEB-CALL Software for Mobile Phones.

ERIC Educational Resources Information Center

Garcia, Jose Carlos

2002-01-01

Presents one of the world's first prototypes of language learning software for smart-phones. Tele-EnREDando.com is an Internet based multimedia application designed for 3G mobile phones with audio, video, and interactive exercises for learning Spanish for business. (Author/VWL)

Model-Based Teaching and Learning with BioLogica[TM]: What Do They Learn? How Do They Learn? How Do We Know?

ERIC Educational Resources Information Center

Buckley, Barbara C.; Gobert, Janice D.; Kindfield, Ann C. H.; Horwitz, Paul; Tinker, Robert F.; Gerlits, Bobbi; Wilensky, Uri; Dede, Chris; Willett, John

2004-01-01

This paper describes part of a project called Modeling Across the Curriculum which is a large-scale research study in 15 schools across the United States. The specific data presented and discussed here in this paper is based on BioLogica, a hypermodel, interactive environment for learning genetics, which was implemented in multiple classes in…

Analyzing Collaborative Learning Processes Automatically: Exploiting the Advances of Computational Linguistics in Computer-Supported Collaborative Learning

ERIC Educational Resources Information Center

Rose, Carolyn; Wang, Yi-Chia; Cui, Yue; Arguello, Jaime; Stegmann, Karsten; Weinberger, Armin; Fischer, Frank

2008-01-01

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners' interactions is a…

The Relationship between Software Design and Children's Engagement

ERIC Educational Resources Information Center

Buckleitner, Warren

2006-01-01

This study was an attempt to measure the effects of praise and reinforcement on children in a computer learning setting. A sorting game was designed to simulate 2 interaction styles. One style, called high computer control, provided frequent praise and coaching. The other, called high child control, had narration and praise toggled off. A…

Conversation Analysis in Computer-Assisted Language Learning

ERIC Educational Resources Information Center

González-Lloret, Marta

2015-01-01

The use of Conversation Analysis (CA) in the study of technology-mediated interactions is a recent methodological addition to qualitative research in the field of Computer-assisted Language Learning (CALL). The expansion of CA in Second Language Acquisition research, coupled with the need for qualitative techniques to explore how people interact…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Miscellaneous.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven developed by the "Infusion Project," offers information and miscellaneous lessons on drug use prevention for integration into an existing seventh-grade middle school curriculum. The module, based on a type of interactive learning called infusion learning contains seven lessons each providing…

The Various Forms of Neuroplasticity: Biological Bases of Learning and Teaching

ERIC Educational Resources Information Center

Tovar-Moll, Fernanda; Lent, Roberto

2016-01-01

Education is a socially structured form of learning. It involves the brains of different players--students, teachers, family members, and others--in permanent interaction. The biological set of mechanisms by which these brains receive, encode, store, and retrieve mutually exchanged information is called "neuroplasticity". This is the…

Encountering Nanotechnology in an Interactive Exhibition

ERIC Educational Resources Information Center

Murriello, Sandra E.; Knobel, Marcelo

2008-01-01

This article offers findings from a learning sciences-informed evaluation of a nanoscience and nanotechnology exhibition called Nano-Aventura (NanoAdventure), based on four interactive-collaborative games and two narrated videos. This traveling exhibition was developed in Brazil by the Museu Exploratorio de Ciencias for children and teenagers…

A Worldwide Intercultural Network: Exploring Electronic Messaging for Instruction. Interactive Technology Laboratory Report #8.

ERIC Educational Resources Information Center

Cohen, Moshe; Miyake, Naomi

A worldwide international computer network, called the Intercultural Learning Network, has been developed to provide students from different cultures with opportunities to work cooperatively. Prototype activities have been developed and tested which facilitate and contextualize interactions among secondary and college students. Joint projects in…

Constructing Clinical Judgments about Preschool Pragmatic Language Skills: An Action Research Study

ERIC Educational Resources Information Center

Boje, Noreen Susan

2009-01-01

The literature suggests that children who struggle with communication during social interactions, called "pragmatic language" in the field of speech language pathology, have fewer opportunities to engage in social practices that promote learning because of inadequate skills in interacting with others. Children with even subtle difficulties in…

Learning Entrepreneurship with Serious Games--A Classroom Approach

ERIC Educational Resources Information Center

Almeida, Fernando L. F.

2017-01-01

The use of educational games for pedagogical practice can provide new conceptions of teaching-learning in an interactive environment stimulating the acquisition of new knowledge. The so-called serious games are focused on the goal of transmitting educational content or training to the user. In the context of entrepreneurship, serious games appear…

Learning Mathematics by Designing, Programming, and Investigating with Interactive, Dynamic Computer-Based Objects

ERIC Educational Resources Information Center

Marshall, Neil; Buteau, Chantal

2014-01-01

As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Mathematics.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven in "Infusion Project", offers information and lessons on drug use prevention for integration into an existing seventh-grade middle school mathematics curriculum. The module, based on a type of interactive learning called infusion learning, contains eight lessons each providing objectives, a list of…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Health.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven in Infusion Project, offers information and lessons on drug use prevention for integration into an existing seventh grade middle school health curriculum. The module, based on a type of interactive learning called infusion learning, contains 10 lessons each providing objectives, a list of resource materials,…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Science.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven developed by the "Infusion Project," offers information and lessons on drug use prevention for integration into an existing seventh-grade middle school science curriculum. The module, based on a type of interactive learning called infusion learning, contains 12 lessons, each providing objectives, a…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Geography.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven in the "Infusion Project," offers information and lessons on drug use prevention for integration into an existing seventh-grade middle school geography curriculum. The module, based on a type of interactive learning called infusion learning, contains 13 lessons each providing objectives, a list of…

Infusing Alcohol and Drug Prevention with Existing Classroom Study Units: Language Arts.

ERIC Educational Resources Information Center

Valencia Community Coll., Orlando, FL.

This curriculum module, one of seven in Infusion Project, offers information and lessons on drug use prevention for integration into an existing seventh-grade middle school language arts curriculum. The module, based on a type of interactive learning called infusion learning, contains 18 lessons each providing objectives, a list of resource…

Evaluating a Web-Based Video Corpus through an Analysis of User Interactions

ERIC Educational Resources Information Center

Caws, Catherine G.

2013-01-01

As shown by several studies, successful integration of technology in language learning requires a holistic approach in order to scientifically understand what learners do when working with web-based technology (cf. Raby, 2007). Additionally, a growing body of research in computer assisted language learning (CALL) evaluation, design and…

Integrating Inter-Disciplinary Experts for Supporting Problem-Based Learning

ERIC Educational Resources Information Center

ChanLin, Lih-Juan; Chan, Kung-Chi

2007-01-01

The study reported in this paper has explored the use of an electronic forum facility in order to provide support for problem-based learning (PBL). A Web-based course involving the use of PBL (called "Drug and Nutrient Interactions") was implemented and was augmented with interdisciplinary expert support using electronic forums. As part…

Twenty Golden Opportunities To Enhance Student Learning: Use Them or Lose Them.

ERIC Educational Resources Information Center

Sponder, Barry

In an average classroom period, a teacher has twenty or more opportunities to interact with students and thereby influence learning outcomes. As such, teachers should use these opportunities to reinforce instruction or give positive corrective feedback. Typical methods used in schools emphasize error correction at the expense of calling attention…

Learning and interactivity in solving a transformation problem.

PubMed

Guthrie, Lisa G; Vallée-Tourangeau, Frédéric; Vallée-Tourangeau, Gaëlle; Howard, Chelsea

2015-07-01

Outside the psychologist's laboratory, thinking proceeds on the basis of a great deal of interaction with artefacts that are recruited to augment problem-solving skills. The role of interactivity in problem solving was investigated using a river-crossing problem. In Experiment 1A, participants completed the same problem twice, once in a low interactivity condition, and once in a high interactivity condition (with order counterbalanced across participants). Learning, as gauged in terms of latency to completion, was much more pronounced when the high interactivity condition was experienced second. When participants first completed the task in the high interactivity condition, transfer to the low interactivity condition during the second attempt was limited; Experiment 1B replicated this pattern of results. Participants thus showed greater facility to transfer their experience of completing the problem from a low to a high interactivity condition. Experiment 2 was designed to determine the amount of learning in a low and high interactivity condition; in this experiment participants completed the problem twice, but level of interactivity was manipulated between subjects. Learning was evident in both the low and high interactivity groups, but latency per move was significantly faster in the high interactivity group, in both presentations. So-called problem isomorphs instantiated in different task ecologies draw upon different skills and abilities; a distributed cognition analysis may provide a fruitful perspective on learning and transfer.

Working Memory Capacity and Disfluency Effect: An Aptitude-Treatment-Interaction Study

ERIC Educational Resources Information Center

Lehmann, Janina; Goussios, Christina; Seufert, Tina

2016-01-01

According to Cognitive Load Theory, learning material should be designed in a way to decrease unnecessary demands on working memory (WM). However, recent research has shown that additional demands on WM caused by less legible texts lead to better learning outcomes. This so-called disfluency effect can be assumed as a metacognitive regulation…

Hybrid Augmented Reality for Participatory Learning: The Hidden Efficacy of Multi-User Game-Based Simulation

ERIC Educational Resources Information Center

Oh, Seungjae; So, Hyo-Jeong; Gaydos, Matthew

2018-01-01

The goal for this research is to articulate and test a new hybrid Augmented Reality (AR) environment for conceptual understanding. From the theoretical lens of embodied interaction, we have designed a multi-user participatory simulation called ARfract where visitors in a science museum can learn about complex scientific concepts on the refraction…

An Evidence Centered Design for Learning and Assessment in the Digital World. CRESST Report 778

ERIC Educational Resources Information Center

Behrens, John T.; Mislevy, Robert J.; DiCerbo, Kristen E.; Levy, Roy

2010-01-01

The world in which learning and assessment must take place is rapidly changing. The digital revolution has created a vast space of interconnected information, communication, and interaction. Functioning effectively in this environment requires so-called 21st century skills such as technological fluency, complex problem solving, and the ability to…

The Interactions of Relationships, Interest, and Self-Efficacy in Undergraduate Physics

ERIC Educational Resources Information Center

Dou, Remy

2017-01-01

This collected papers dissertation explores students' academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology,…

Learning to Analyze and Code Accounting Transactions in Interactive Mode.

ERIC Educational Resources Information Center

Bentz, William F.; Ambler, Eric E.

An interactive computer-assisted instructional (CAI) system, called CODE, is used to teach transactional analysis, or coding, in elementary accounting. The first major component of CODE is TEACH, a program which controls student input and output. Following the statement of a financial position on a cathode ray tube, TEACH describes an event to…

Game of Words: Prototype of a Digital Game Focusing on Oral Production (and Comprehension) through Asynchronous Interaction

ERIC Educational Resources Information Center

Loiseau, Mathieu; Hallal, Racha; Ballot, Pauline; Gazidedja, Ada

2016-01-01

In this paper, we present a learning game designed according to a strategy focusing on favouring the learners' "playful attitude". The game's modalities pertain to what we might call "guessing games". The chosen avatar of such guessing games both exists as learning and Commercial Off The Shelf (COTS) board games. We explain in…

Ministry, Union, the Church and Teachers: Bolivia's Partners in Innovation. LearnTech Case Study Series, No. 6.

ERIC Educational Resources Information Center

Fryer, Michelle L.

A process of developing and testing an instructional methodology called interactive radio instruction (IRI) was begun in 1986 in order to improve the quality of primary school mathematics in Bolivia. When the development phase was complete and implementation well under way, management of the resultant Radio Learning Project (RLP) passed from the…

An Experience of Teaching for Learning by Observation: Remote-Controlled Experiments on Electrical Circuits

ERIC Educational Resources Information Center

Kong, Siu Cheung; Yeung, Yau Yuen; Wu, Xian Qiu

2009-01-01

In order to facilitate senior primary school students in Hong Kong to engage in learning by observation of the phenomena related to electrical circuits, a design of a specific courseware system, of which the interactive human-machine interface was created with the use of an open-source software called the LabVNC, for conducting online…

A framework for analyzing interdisciplinary tasks: implications for student learning and curricular design.

PubMed

Gouvea, Julia Svoboda; Sawtelle, Vashti; Geller, Benjamin D; Turpen, Chandra

2013-06-01

The national conversation around undergraduate science instruction is calling for increased interdisciplinarity. As these calls increase, there is a need to consider the learning objectives of interdisciplinary science courses and how to design curricula to support those objectives. We present a framework that can help support interdisciplinary design research. We developed this framework in an introductory physics for life sciences majors (IPLS) course for which we designed a series of interdisciplinary tasks that bridge physics and biology. We illustrate how this framework can be used to describe the variation in the nature and degree of interdisciplinary interaction in tasks, to aid in redesigning tasks to better align with interdisciplinary learning objectives, and finally, to articulate design conjectures that posit how different characteristics of these tasks might support or impede interdisciplinary learning objectives. This framework will be useful for both curriculum designers and education researchers seeking to understand, in more concrete terms, what interdisciplinary learning means and how integrated science curricula can be designed to support interdisciplinary learning objectives.

A Framework for Analyzing Interdisciplinary Tasks: Implications for Student Learning and Curricular Design

PubMed Central

Gouvea, Julia Svoboda; Sawtelle, Vashti; Geller, Benjamin D.; Turpen, Chandra

2013-01-01

The national conversation around undergraduate science instruction is calling for increased interdisciplinarity. As these calls increase, there is a need to consider the learning objectives of interdisciplinary science courses and how to design curricula to support those objectives. We present a framework that can help support interdisciplinary design research. We developed this framework in an introductory physics for life sciences majors (IPLS) course for which we designed a series of interdisciplinary tasks that bridge physics and biology. We illustrate how this framework can be used to describe the variation in the nature and degree of interdisciplinary interaction in tasks, to aid in redesigning tasks to better align with interdisciplinary learning objectives, and finally, to articulate design conjectures that posit how different characteristics of these tasks might support or impede interdisciplinary learning objectives. This framework will be useful for both curriculum designers and education researchers seeking to understand, in more concrete terms, what interdisciplinary learning means and how integrated science curricula can be designed to support interdisciplinary learning objectives. PMID:23737627

The ZAP Project: Designing Interactive Computer Tools for Learning Psychology

ERIC Educational Resources Information Center

Hulshof, Casper; Eysink, Tessa; de Jong, Ton

2006-01-01

In the ZAP project, a set of interactive computer programs called "ZAPs" was developed. The programs were designed in such a way that first-year students experience psychological phenomena in a vivid and self-explanatory way. Students can either take the role of participant in a psychological experiment, they can experience phenomena themselves,…

Composite Agency: Semiotics of Modularity and Guiding Interactions.

PubMed

Sharov, Alexei A

2017-07-01

Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call "guiding", do not have immediate effects and do not disrupt the evolution and learning capacity of partner agents. However, they modify the extent of learning and evolutionary possibilities of partners via establishment of scaffolds and constraints. As a result, subagents construct reciprocal scaffolding for each other to rebalance their communal evolution and learning. As an example, I discuss guiding interactions between the body and mind of animals, where the pain system adjusts mind-based learning to the physical and physiological constraints of the body. Reciprocal effects of mind and behaviors on the development and evolution of the body includes the effects of Lamarck and Baldwin.

Social learning of vocal structure in a nonhuman primate?

PubMed Central

2011-01-01

Background Non-human primate communication is thought to be fundamentally different from human speech, mainly due to vast differences in vocal control. The lack of these abilities in non-human primates is especially striking if compared to some marine mammals and bird species, which has generated somewhat of an evolutionary conundrum. What are the biological roots and underlying evolutionary pressures of the human ability to voluntarily control sound production and learn the vocal utterances of others? One hypothesis is that this capacity has evolved gradually in humans from an ancestral stage that resembled the vocal behavior of modern primates. Support for this has come from studies that have documented limited vocal flexibility and convergence in different primate species, typically in calls used during social interactions. The mechanisms underlying these patterns, however, are currently unknown. Specifically, it has been difficult to rule out explanations based on genetic relatedness, suggesting that such vocal flexibility may not be the result of social learning. Results To address this point, we compared the degree of acoustic similarity of contact calls in free-ranging Campbell's monkeys as a function of their social bonds and genetic relatedness. We calculated three different indices to compare the similarities between the calls' frequency contours, the duration of grooming interactions and the microsatellite-based genetic relatedness between partners. We found a significantly positive relation between bond strength and acoustic similarity that was independent of genetic relatedness. Conclusion Genetic factors determine the general species-specific call repertoire of a primate species, while social factors can influence the fine structure of some the call types. The finding is in line with the more general hypothesis that human speech has evolved gradually from earlier primate-like vocal communication. PMID:22177339

Individual calling to the feeding station can reduce agonistic interactions and lesions in group housed sows.

PubMed

Kirchner, J; Manteuffel, G; Schrader, L

2012-12-01

In this study we used a new call feeding station, which enabled sows to learn that they have access to feed only after an individual acoustic signal was given. We tested whether this call feeding station is able to reduce agonistic interactions between sows and whether effects of call feeding can further be improved by enrichment. A total of 85 gestating sows were kept in a dynamic group in a large waiting area (207 m²) equipped with littered laying areas and an outside area. During a control treatment sows were fed in a normal electronic feeding station once a day (NF1-). Before testing the call feeding station sows had been conditioned for an acoustic signal (a trisyllabic "name") and learned that they were allowed to enter the feeding station only after their name was called. In the call feeding station sows were fed either once (CF1-) or twice a day (CF2-). In addition, we tested for effects of further enrichment such as straw in the activity area (CF2+). Agonistic behaviors and number of sows were observed by video in continuous recording from 0600 to 1800 h in an area (4 by 3.25 m) in front of the feeding station in periods of 4 d (NF1- = 7 periods, CF1- = 5 periods, CF2- = 3 periods, and CF2+ = 4 periods) and analyzed using mixed models. During each observation period sows were scored for wounds and body lesions at different body parts. From 0600 to 1100 h the proportion of agonistic interactions was much greater in the feeding mode NF1- compared with CF1- (feeding mode × time of day: P < 0.001) and in CF1- agonistic interactions were on a low level throughout the whole feeding cycle. The feeding frequency and the additional presence of straw in the activity area did not affect the proportion of agonistic interactions (all P > 0.05). The results on the number of sows in front of the feeding station mirrored the findings for agonistic interactions. In NF1- more sows were involved in agonistic interactions compared with CF1- (83.1 ± 12.9% vs. 61.5 ± 19.6%; P = 0.005) but there was no difference between the call feeding station (CF) treatments. The number of severe lesions was greater at the head (P = 0.014) and the flank (P = 0.006) but not at the shoulders (P = 0.057) and the hindquarter (P = 0.426) in NF1- compared with CF1-. The results suggest that signaling the feeding time individually increases the predictability for access to the feeding station and consequently reduces competition between sows.

Reinforcement learning improves behaviour from evaluative feedback

NASA Astrophysics Data System (ADS)

Littman, Michael L.

2015-05-01

Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial intelligence problem in a microcosm because learning algorithms must act autonomously to perform well and achieve their goals. Partly driven by the increasing availability of rich data, recent years have seen exciting advances in the theory and practice of reinforcement learning, including developments in fundamental technical areas such as generalization, planning, exploration and empirical methodology, leading to increasing applicability to real-life problems.

Reinforcement learning improves behaviour from evaluative feedback.

PubMed

Littman, Michael L

2015-05-28

Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial intelligence problem in a microcosm because learning algorithms must act autonomously to perform well and achieve their goals. Partly driven by the increasing availability of rich data, recent years have seen exciting advances in the theory and practice of reinforcement learning, including developments in fundamental technical areas such as generalization, planning, exploration and empirical methodology, leading to increasing applicability to real-life problems.

Help me if I can't: Social interaction effects in adult contextual word learning.

PubMed

Verga, Laura; Kotz, Sonja A

2017-11-01

A major challenge in second language acquisition is to build up new vocabulary. How is it possible to identify the meaning of a new word among several possible referents? Adult learners typically use contextual information, which reduces the number of possible referents a new word can have. Alternatively, a social partner may facilitate word learning by directing the learner's attention toward the correct new word meaning. While much is known about the role of this form of 'joint attention' in first language acquisition, little is known about its efficacy in second language acquisition. Consequently, we introduce and validate a novel visual word learning game to evaluate how joint attention affects the contextual learning of new words in a second language. Adult learners either acquired new words in a constant or variable sentence context by playing the game with a knowledgeable partner, or by playing the game alone on a computer. Results clearly show that participants who learned new words in social interaction (i) are faster in identifying a correct new word referent in variable sentence contexts, and (ii) temporally coordinate their behavior with a social partner. Testing the learned words in a post-learning recall or recognition task showed that participants, who learned interactively, better recognized words originally learned in a variable context. While this result may suggest that interactive learning facilitates the allocation of attention to a target referent, the differences in the performance during recognition and recall call for further studies investigating the effect of social interaction on learning performance. In summary, we provide first evidence on the role joint attention in second language learning. Furthermore, the new interactive learning game offers itself to further testing in complex neuroimaging research, where the lack of appropriate experimental set-ups has so far limited the investigation of the neural basis of adult word learning in social interaction. Copyright © 2017 Elsevier B.V. All rights reserved.

Factors Affecting the Participation of the Deaf and Hard of Hearing in e-Learning and Their Satisfaction: A Quantitative Study

ERIC Educational Resources Information Center

Ferreiro-Lago, Emilio; Osuna-Acedo, Sara

2017-01-01

Today the digital divide is measured not so much by access to the internet but by people's ability to interact in cyberspace, which calls for specific digital communication skills. These skills are also required for participation in e-learning, bearing in mind that the deaf and hard of hearing have certain characteristics related to their…

Informal Learning through Expertise Mining in the Social Web

ERIC Educational Resources Information Center

Valencia-Garcia, Rafael; Garcia-Sanchez, Francisco; Casado-Lumbreras, Cristina; Castellanos-Nieves, Dagoberto; Fernandez-Breis, Jesualdo Tomas

2012-01-01

The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The…

Talking Stories on CD-ROM--How Do They Benefit Their Users?

ERIC Educational Resources Information Center

Donnelly, Michelle

2005-01-01

In recent years, the DfES, 2003 has pushed schools to try and integrate more interactive teaching methods into everyday teaching and learning. This push in technology has lead to an increased call for the use of interactive software to support reading. This study looks at whether talking stories benefit the children who use them. It is a…

A Development of Game-Based Learning Environment to Activate Interaction among Learners

NASA Astrophysics Data System (ADS)

Takaoka, Ryo; Shimokawa, Masayuki; Okamoto, Toshio

Many studies and systems that incorporate elements such as “pleasure” and “fun” in the game to improve a learner's motivation have been developed in the field of learning environments. However, few are the studies of situations where many learners gather at a single computer and participate in a game-based learning environment (GBLE), and where the GBLE designs the learning process by controlling the interactions between learners such as competition, collaboration, and learning by teaching. Therefore, the purpose of this study is to propose a framework of educational control that induces and activates interaction between learners intentionally to create a learning opportunity that is based on the knowledge understanding model of each learner. In this paper, we explain the design philosophy and the framework of our GBLE called “Who becomes the king in the country of mathematics?” from a game viewpoint and describe the method of learning support control in the learning environment. In addition, we report the results of the learning experiment with our GBLE, which we carried out in a junior high school, and include some comments by a principal and a teacher. From the results of the experiment and some comments, we noticed that a game may play a significant role in weakening the learning relationship among students and creating new relationships in the world of the game. Furthermore, we discovered that learning support control of the GBLE has led to activation of the interaction between learners to some extent.

Design Requirements for Communication-Intensive Interactive Applications

NASA Astrophysics Data System (ADS)

Bolchini, Davide; Garzotto, Franca; Paolini, Paolo

Online interactive applications call for new requirements paradigms to capture the growing complexity of computer-mediated communication. Crafting successful interactive applications (such as websites and multimedia) involves modeling the requirements for the user experience, including those leading to content design, usable information architecture and interaction, in profound coordination with the communication goals of all stakeholders involved, ranging from persuasion to social engagement, to call for action. To face this grand challenge, we propose a methodology for modeling communication requirements and provide a set of operational conceptual tools to be used in complex projects with multiple stakeholders. Through examples from real-life projects and lessons-learned from direct experience, we draw on the concepts of brand, value, communication goals, information and persuasion requirements to systematically guide analysts to master the multifaceted connections of these elements as drivers to inform successful communication designs.

LEAP: biomarker inference through learning and evaluating association patterns.

PubMed

Jiang, Xia; Neapolitan, Richard E

2015-03-01

Single nucleotide polymorphism (SNP) high-dimensional datasets are available from Genome Wide Association Studies (GWAS). Such data provide researchers opportunities to investigate the complex genetic basis of diseases. Much of genetic risk might be due to undiscovered epistatic interactions, which are interactions in which combination of several genes affect disease. Research aimed at discovering interacting SNPs from GWAS datasets proceeded in two directions. First, tools were developed to evaluate candidate interactions. Second, algorithms were developed to search over the space of candidate interactions. Another problem when learning interacting SNPs, which has not received much attention, is evaluating how likely it is that the learned SNPs are associated with the disease. A complete system should provide this information as well. We develop such a system. Our system, called LEAP, includes a new heuristic search algorithm for learning interacting SNPs, and a Bayesian network based algorithm for computing the probability of their association. We evaluated the performance of LEAP using 100 1,000-SNP simulated datasets, each of which contains 15 SNPs involved in interactions. When learning interacting SNPs from these datasets, LEAP outperformed seven others methods. Furthermore, only SNPs involved in interactions were found to be probable. We also used LEAP to analyze real Alzheimer's disease and breast cancer GWAS datasets. We obtained interesting and new results from the Alzheimer's dataset, but limited results from the breast cancer dataset. We conclude that our results support that LEAP is a useful tool for extracting candidate interacting SNPs from high-dimensional datasets and determining their probability. © 2015 The Authors. *Genetic Epidemiology published by Wiley Periodicals, Inc.

Learning with a Missing Sense: What Can We Learn from the Interaction of a Deaf Child with a Turtle?

ERIC Educational Resources Information Center

Miller, Paul

2009-01-01

This case study reports on the progress of Navon, a 13-year-old boy with prelingual deafness, over a 3-month period following exposure to Logo, a computer programming language that visualizes specific programming commands by means of a virtual drawing tool called the Turtle. Despite an almost complete lack of skills in spoken and sign language,…

The Influence of the Application of Personal Response Systems on the Effects of Teaching and Learning Physics at the High School Level

ERIC Educational Resources Information Center

Binek, Slawomir; Kimla, Damian; Jarosz, Jerzy

2017-01-01

We report on the effectiveness of using interactive personal response systems in teaching physics in secondary schools. Our research were conducted over the period of 2013-2016 using the system called clickers. The idea is based on a reciprocal interaction allowing one to ask questions and receive immediate responses from all the students…

Teaching "with" Rather than "about" Geographic Information Systems

ERIC Educational Resources Information Center

Hammond, Thomas C.; Bodzin, Alec M.

2009-01-01

Both "teaching" and "teaching" with Geographic Information Systems (GIS) are "wicked problems," in the sense that they involve multiple variables that interact with one another. Effective teaching calls for both learning with understanding and transfer. The authors' own experience implementing a geography and…

Uncovering Pompeii: Examining Evidence.

ERIC Educational Resources Information Center

Yell, Michael M.

2001-01-01

Presents a lesson plan on Pompeii (Italy) for middle school students that utilizes a teaching technique called interactive presentation. Describes the technique's five phases: (1) discrepant event inquiry; (2) discussion/presentation; (3) cooperative learning activity; (4) writing for understanding activity; and (5) whole-class discussion and…

Feasibility of lane closures using probe data : technical brief.

DOT National Transportation Integrated Search

2017-04-01

This study developed an on-line system analysis tool called the Work Zone Interactive : Management Application - Planning (WIMAP-P), an easy-to-use and easy-to-learn tool for : predicting the traffic impact caused by work zone lane closures on freewa...

Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction.

PubMed

Kim, Su Kyoung; Kirchner, Elsa Andrea; Stefes, Arne; Kirchner, Frank

2017-12-14

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in dynamic environments based on feedback. Explicit human feedback during robot RL is advantageous, since an explicit reward function can be easily adapted. However, it is very demanding and tiresome for a human to continuously and explicitly generate feedback. Therefore, the development of implicit approaches is of high relevance. In this paper, we used an error-related potential (ErrP), an event-related activity in the human electroencephalogram (EEG), as an intrinsically generated implicit feedback (rewards) for RL. Initially we validated our approach with seven subjects in a simulated robot learning scenario. ErrPs were detected online in single trial with a balanced accuracy (bACC) of 91%, which was sufficient to learn to recognize gestures and the correct mapping between human gestures and robot actions in parallel. Finally, we validated our approach in a real robot scenario, in which seven subjects freely chose gestures and the real robot correctly learned the mapping between gestures and actions (ErrP detection (90% bACC)). In this paper, we demonstrated that intrinsically generated EEG-based human feedback in RL can successfully be used to implicitly improve gesture-based robot control during human-robot interaction. We call our approach intrinsic interactive RL.

Emerging Affordances in Telecollaborative Multimodal Interactions

ERIC Educational Resources Information Center

Dey-Plissonneau, Aparajita; Blin, Françoise

2016-01-01

Drawing on Gibson's (1977) theory of affordances, Computer-Assisted Language Learning (CALL) affordances are a combination of technological, social, educational, and linguistic affordances (Blin, 2016). This paper reports on a preliminary study that sought to identify the emergence of affordances during an online video conferencing session between…

Schema-based learning of adaptable and flexible prey- catching in anurans II. Learning after lesioning.

PubMed

Corbacho, Fernando; Nishikawa, Kiisa C; Weerasuriya, Ananda; Liaw, Jim-Shih; Arbib, Michael A

2005-12-01

The previous companion paper describes the initial (seed) schema architecture that gives rise to the observed prey-catching behavior. In this second paper in the series we describe the fundamental adaptive processes required during learning after lesioning. Following bilateral transections of the hypoglossal nerve, anurans lunge toward mealworms with no accompanying tongue or jaw movement. Nevertheless anurans with permanent hypoglossal transections eventually learn to catch their prey by first learning to open their mouth again and then lunging their body further and increasing their head angle. In this paper we present a new learning framework, called schema-based learning (SBL). SBL emphasizes the importance of the current existent structure (schemas), that defines a functioning system, for the incremental and autonomous construction of ever more complex structure to achieve ever more complex levels of functioning. We may rephrase this statement into the language of Schema Theory (Arbib 1992, for a comprehensive review) as the learning of new schemas based on the stock of current schemas. SBL emphasizes a fundamental principle of organization called coherence maximization, that deals with the maximization of congruence between the results of an interaction (external or internal) and the expectations generated for that interaction. A central hypothesis consists of the existence of a hierarchy of predictive internal models (predictive schemas) all over the control center-brain-of the agent. Hence, we will include predictive models in the perceptual, sensorimotor, and motor components of the autonomous agent architecture. We will then show that predictive models are fundamental for structural learning. In particular we will show how a system can learn a new structural component (augment the overall network topology) after being lesioned in order to recover (or even improve) its original functionality. Learning after lesioning is a special case of structural learning but clearly shows that solutions cannot be known/hardwired a priori since it cannot be known, in advance, which substructure is going to break down.

Twelve tips for facilitating Millennials' learning.

PubMed

Roberts, David H; Newman, Lori R; Schwartzstein, Richard M

2012-01-01

The current, so-called "Millennial" generation of learners is frequently characterized as having deep understanding of, and appreciation for, technology and social connectedness. This generation of learners has also been molded by a unique set of cultural influences that are essential for medical educators to consider in all aspects of their teaching, including curriculum design, student assessment, and interactions between faculty and learners.  The following tips outline an approach to facilitating learning of our current generation of medical trainees.  The method is based on the available literature and the authors' experiences with Millennial Learners in medical training.  The 12 tips provide detailed approaches and specific strategies for understanding and engaging Millennial Learners and enhancing their learning.  With an increased understanding of the characteristics of the current generation of medical trainees, faculty will be better able to facilitate learning and optimize interactions with Millennial Learners.

Sex differences in the representation of call stimuli in a songbird secondary auditory area

PubMed Central

Giret, Nicolas; Menardy, Fabien; Del Negro, Catherine

2015-01-01

Understanding how communication sounds are encoded in the central auditory system is critical to deciphering the neural bases of acoustic communication. Songbirds use learned or unlearned vocalizations in a variety of social interactions. They have telencephalic auditory areas specialized for processing natural sounds and considered as playing a critical role in the discrimination of behaviorally relevant vocal sounds. The zebra finch, a highly social songbird species, forms lifelong pair bonds. Only male zebra finches sing. However, both sexes produce the distance call when placed in visual isolation. This call is sexually dimorphic, is learned only in males and provides support for individual recognition in both sexes. Here, we assessed whether auditory processing of distance calls differs between paired males and females by recording spiking activity in a secondary auditory area, the caudolateral mesopallium (CLM), while presenting the distance calls of a variety of individuals, including the bird itself, the mate, familiar and unfamiliar males and females. In males, the CLM is potentially involved in auditory feedback processing important for vocal learning. Based on both the analyses of spike rates and temporal aspects of discharges, our results clearly indicate that call-evoked responses of CLM neurons are sexually dimorphic, being stronger, lasting longer, and conveying more information about calls in males than in females. In addition, how auditory responses vary among call types differ between sexes. In females, response strength differs between familiar male and female calls. In males, temporal features of responses reveal a sensitivity to the bird's own call. These findings provide evidence that sexual dimorphism occurs in higher-order processing areas within the auditory system. They suggest a sexual dimorphism in the function of the CLM, contributing to transmit information about the self-generated calls in males and to storage of information about the bird's auditory experience in females. PMID:26578918

Sex differences in the representation of call stimuli in a songbird secondary auditory area.

PubMed

Giret, Nicolas; Menardy, Fabien; Del Negro, Catherine

2015-01-01

Understanding how communication sounds are encoded in the central auditory system is critical to deciphering the neural bases of acoustic communication. Songbirds use learned or unlearned vocalizations in a variety of social interactions. They have telencephalic auditory areas specialized for processing natural sounds and considered as playing a critical role in the discrimination of behaviorally relevant vocal sounds. The zebra finch, a highly social songbird species, forms lifelong pair bonds. Only male zebra finches sing. However, both sexes produce the distance call when placed in visual isolation. This call is sexually dimorphic, is learned only in males and provides support for individual recognition in both sexes. Here, we assessed whether auditory processing of distance calls differs between paired males and females by recording spiking activity in a secondary auditory area, the caudolateral mesopallium (CLM), while presenting the distance calls of a variety of individuals, including the bird itself, the mate, familiar and unfamiliar males and females. In males, the CLM is potentially involved in auditory feedback processing important for vocal learning. Based on both the analyses of spike rates and temporal aspects of discharges, our results clearly indicate that call-evoked responses of CLM neurons are sexually dimorphic, being stronger, lasting longer, and conveying more information about calls in males than in females. In addition, how auditory responses vary among call types differ between sexes. In females, response strength differs between familiar male and female calls. In males, temporal features of responses reveal a sensitivity to the bird's own call. These findings provide evidence that sexual dimorphism occurs in higher-order processing areas within the auditory system. They suggest a sexual dimorphism in the function of the CLM, contributing to transmit information about the self-generated calls in males and to storage of information about the bird's auditory experience in females.

First-Year and Non-First-Year Student Expectations Regarding In-Class and Out-of-Class Learning Activities in Introductory Biology †

PubMed Central

Brown, Tanya L.; Brazeal, Kathleen R.; Couch, Brian A.

2017-01-01

National calls for teaching transformation build on a constructivist learning theory and propose that students learn by actively engaging in course activities and interacting with other students. While interactive pedagogies can improve learning, they also have the potential to challenge traditional norms regarding class participation and learning strategies. To better understand the potential openness of students to interactive teaching practices, we administered a survey during the first week of two sections of an introductory biology course to characterize how students envisioned spending time during class as well as what activities they expected to complete outside of class during non-exam weeks and in preparation for exams. Additionally, we sought to test the hypothesis that the expectations of first-year students differed from those of non-first-year students. Analyses of closed-ended and open-ended questions revealed that students held a wide range of expectations and that most students expressed expectations consistent with some degree of transformed teaching. Furthermore, first-year students expected more active learning in class, more out-of-class coursework during non-exam weeks, and more social learning strategies than non-first-year students. We discuss how instructor awareness of incoming student expectations might be used to promote success in introductory science courses. PMID:28512514

How can students contribute? A qualitative study of active student involvement in development of technological learning material for clinical skills training.

PubMed

Haraldseid, Cecilie; Friberg, Febe; Aase, Karina

2016-01-01

Policy initiatives and an increasing amount of the literature within higher education both call for students to become more involved in creating their own learning. However, there is a lack of studies in undergraduate nursing education that actively involve students in developing such learning material with descriptions of the students' roles in these interactive processes. Explorative qualitative study, using data from focus group interviews, field notes and student notes. The data has been subjected to qualitative content analysis. Active student involvement through an iterative process identified five different learning needs that are especially important to the students: clarification of learning expectations, help to recognize the bigger picture, stimulation of interaction, creation of structure, and receiving context- specific content. The iterative process involvement of students during the development of new technological learning material will enhance the identification of important learning needs for students. The use of student and teacher knowledge through an adapted co-design process is the most optimal level of that involvement.

Scenario-Based Spoken Interaction with Virtual Agents

ERIC Educational Resources Information Center

Morton, Hazel; Jack, Mervyn A.

2005-01-01

This paper describes a CALL approach which integrates software for speaker independent continuous speech recognition with embodied virtual agents and virtual worlds to create an immersive environment in which learners can converse in the target language in contextualised scenarios. The result is a self-access learning package: SPELL (Spoken…

Culturally-Based and Culturally-Biased Aspects of Knowing the Other

ERIC Educational Resources Information Center

Makarova, Elena A.; Makarova, Elena L.

2014-01-01

Interaction of cultures calls for cultural awareness development. Knowledge is a powerful weapon to overcome prejudices, stereotyping and xenophobia. To build cultural awareness and tolerance to the peculiarities of someone else's culture, global learners must learn how to determine the existence of differences between cultures and how to adapt…

Analytic Hierarchy Process for Personalising Environmental Information

ERIC Educational Resources Information Center

Kabassi, Katerina

2014-01-01

This paper presents how a Geographical Information System (GIS) can be incorporated in an intelligent learning software system for environmental matters. The system is called ALGIS and incorporates the GIS in order to present effectively information about the physical and anthropogenic environment of Greece in a more interactive way. The system…

Student Acceptance of Clickers in Large Introductory Business Classes

ERIC Educational Resources Information Center

Preis, Michael W.; Kellar, Gregory M.; Crosby, Elizabeth

2011-01-01

Today's NetGen students require more multimedia and interactive learning environments and greater participation than previous generations. Personal response devices (PRDs, sometimes called Audience Response Devices or ARDs, better known as clickers) show promise in helping to meet that need. This article explores the literature of PRDs to develop…

Potential of Audiographic Computerized Telelearning for Distance Extension Education.

ERIC Educational Resources Information Center

Verma, Satish; And Others

In the last 10 years, an approach to electronic distance education called audiographic computerized telelearning using standard telephone lines has come to the fore. Telelearning is a cost-effective system which optimizes existing computer facilities and creates a teaching-learning environment that is interactive, efficient, and adaptable to a…

PERKAM: Personalized Knowledge Awareness Map for Computer Supported Ubiquitous Learning

ERIC Educational Resources Information Center

El-Bishouty, Moushir M.; Ogata, Hiroaki; Yano, Yoneo

2007-01-01

This paper introduces a ubiquitous computing environment in order to support the learners while doing tasks; this environment is called PERKAM (PERsonalized Knowledge Awareness Map). PERKAM allows the learners to share knowledge, interact, collaborate, and exchange individual experiences. It utilizes the RFID ubiquities technology to detect the…

Hidden Dimensions in the So-Called Reality of a Mathematics Classroom.

ERIC Educational Resources Information Center

Bauersfeld, Heinrich

1980-01-01

Teaching and learning mathematics in classrooms is interpreted as human interaction in an institutionalized setting. Using theories and categories from different disciplines, a classroom episode is reanalyzed. Four hidden dimensions in the classroom process and thus deficient areas of research are identified. Consequences for teacher training are…

Improving Demonstration Using Better Interaction Techniques

DTIC Science & Technology

1997-01-14

Programming by demonstration (PBD) can be used to create tools and methods that eliminate the need to learn difficult computer languages. Gamut is a...do this, Gamut uses advanced interaction techniques that make it easier for a software author to express all needed aspects of one’s program. These...techniques include a simplified way to demonstrate new examples, called nudges, and a way to highlight objects to show they are important. Also, Gamut

Interactive lesion segmentation with shape priors from offline and online learning.

PubMed

Shepherd, Tony; Prince, Simon J D; Alexander, Daniel C

2012-09-01

In medical image segmentation, tumors and other lesions demand the highest levels of accuracy but still call for the highest levels of manual delineation. One factor holding back automatic segmentation is the exemption of pathological regions from shape modelling techniques that rely on high-level shape information not offered by lesions. This paper introduces two new statistical shape models (SSMs) that combine radial shape parameterization with machine learning techniques from the field of nonlinear time series analysis. We then develop two dynamic contour models (DCMs) using the new SSMs as shape priors for tumor and lesion segmentation. From training data, the SSMs learn the lower level shape information of boundary fluctuations, which we prove to be nevertheless highly discriminant. One of the new DCMs also uses online learning to refine the shape prior for the lesion of interest based on user interactions. Classification experiments reveal superior sensitivity and specificity of the new shape priors over those previously used to constrain DCMs. User trials with the new interactive algorithms show that the shape priors are directly responsible for improvements in accuracy and reductions in user demand.

Learning directed acyclic graphs from large-scale genomics data.

PubMed

Nikolay, Fabio; Pesavento, Marius; Kritikos, George; Typas, Nassos

2017-09-20

In this paper, we consider the problem of learning the genetic interaction map, i.e., the topology of a directed acyclic graph (DAG) of genetic interactions from noisy double-knockout (DK) data. Based on a set of well-established biological interaction models, we detect and classify the interactions between genes. We propose a novel linear integer optimization program called the Genetic-Interactions-Detector (GENIE) to identify the complex biological dependencies among genes and to compute the DAG topology that matches the DK measurements best. Furthermore, we extend the GENIE program by incorporating genetic interaction profile (GI-profile) data to further enhance the detection performance. In addition, we propose a sequential scalability technique for large sets of genes under study, in order to provide statistically significant results for real measurement data. Finally, we show via numeric simulations that the GENIE program and the GI-profile data extended GENIE (GI-GENIE) program clearly outperform the conventional techniques and present real data results for our proposed sequential scalability technique.

Gesture Recognition for Educational Games: Magic Touch Math

NASA Astrophysics Data System (ADS)

Kye, Neo Wen; Mustapha, Aida; Azah Samsudin, Noor

2017-08-01

Children nowadays are having problem learning and understanding basic mathematical operations because they are not interested in studying or learning mathematics. This project proposes an educational game called Magic Touch Math that focuses on basic mathematical operations targeted to children between the age of three to five years old using gesture recognition to interact with the game. Magic Touch Math was developed in accordance to the Game Development Life Cycle (GDLC) methodology. The prototype developed has helped children to learn basic mathematical operations via intuitive gestures. It is hoped that the application is able to get the children motivated and interested in mathematics.

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences.

PubMed

Song, Min; Yu, Hwanjo; Han, Wook-Shin

2011-11-24

Protein-protein interaction (PPI) extraction has been a focal point of many biomedical research and database curation tools. Both Active Learning and Semi-supervised SVMs have recently been applied to extract PPI automatically. In this paper, we explore combining the AL with the SSL to improve the performance of the PPI task. We propose a novel PPI extraction technique called PPISpotter by combining Deterministic Annealing-based SSL and an AL technique to extract protein-protein interaction. In addition, we extract a comprehensive set of features from MEDLINE records by Natural Language Processing (NLP) techniques, which further improve the SVM classifiers. In our feature selection technique, syntactic, semantic, and lexical properties of text are incorporated into feature selection that boosts the system performance significantly. By conducting experiments with three different PPI corpuses, we show that PPISpotter is superior to the other techniques incorporated into semi-supervised SVMs such as Random Sampling, Clustering, and Transductive SVMs by precision, recall, and F-measure. Our system is a novel, state-of-the-art technique for efficiently extracting protein-protein interaction pairs.

Learning models of Human-Robot Interaction from small data

PubMed Central

Zehfroosh, Ashkan; Kokkoni, Elena; Tanner, Herbert G.; Heinz, Jeffrey

2018-01-01

This paper offers a new approach to learning discrete models for human-robot interaction (HRI) from small data. In the motivating application, HRI is an integral part of a pediatric rehabilitation paradigm that involves a play-based, social environment aiming at improving mobility for infants with mobility impairments. Designing interfaces in this setting is challenging, because in order to harness, and eventually automate, the social interaction between children and robots, a behavioral model capturing the causality between robot actions and child reactions is needed. The paper adopts a Markov decision process (MDP) as such a model, and selects the transition probabilities through an empirical approximation procedure called smoothing. Smoothing has been successfully applied in natural language processing (NLP) and identification where, similarly to the current paradigm, learning from small data sets is crucial. The goal of this paper is two-fold: (i) to describe our application of HRI, and (ii) to provide evidence that supports the application of smoothing for small data sets. PMID:29492408

Learning models of Human-Robot Interaction from small data.

PubMed

Zehfroosh, Ashkan; Kokkoni, Elena; Tanner, Herbert G; Heinz, Jeffrey

2017-07-01

This paper offers a new approach to learning discrete models for human-robot interaction (HRI) from small data. In the motivating application, HRI is an integral part of a pediatric rehabilitation paradigm that involves a play-based, social environment aiming at improving mobility for infants with mobility impairments. Designing interfaces in this setting is challenging, because in order to harness, and eventually automate, the social interaction between children and robots, a behavioral model capturing the causality between robot actions and child reactions is needed. The paper adopts a Markov decision process (MDP) as such a model, and selects the transition probabilities through an empirical approximation procedure called smoothing. Smoothing has been successfully applied in natural language processing (NLP) and identification where, similarly to the current paradigm, learning from small data sets is crucial. The goal of this paper is two-fold: (i) to describe our application of HRI, and (ii) to provide evidence that supports the application of smoothing for small data sets.

IntellEditS: intelligent learning-based editor of segmentations.

PubMed

Harrison, Adam P; Birkbeck, Neil; Sofka, Michal

2013-01-01

Automatic segmentation techniques, despite demonstrating excellent overall accuracy, can often produce inaccuracies in local regions. As a result, correcting segmentations remains an important task that is often laborious, especially when done manually for 3D datasets. This work presents a powerful tool called Intelligent Learning-Based Editor of Segmentations (IntellEditS) that minimizes user effort and further improves segmentation accuracy. The tool partners interactive learning with an energy-minimization approach to editing. Based on interactive user input, a discriminative classifier is trained and applied to the edited 3D region to produce soft voxel labeling. The labels are integrated into a novel energy functional along with the existing segmentation and image data. Unlike the state of the art, IntellEditS is designed to correct segmentation results represented not only as masks but also as meshes. In addition, IntellEditS accepts intuitive boundary-based user interactions. The versatility and performance of IntellEditS are demonstrated on both MRI and CT datasets consisting of varied anatomical structures and resolutions.

The use of computer assisted technology to enhance student psychiatric nurses learning during a practice placement.

PubMed

Denny, Margaret; Higgins, Agnes

2003-06-01

Despite the available literature that identifies the value of integrating computer-assisted learning into the curriculum, psychiatric nurse education lags behind in this area of curriculum development. The purpose of this paper is to report on a pilot project involving the use of a computer assisted learning (CAL) interactive multimedia (IMM) package called 'Admissions,' as a self-directed learning tool with two-second year psychiatric nursing students. The students were on a practice placement in an Irish mental health service. The aim of using the multimedia resource was to augment the students' learning during their practice placement and enable them to re-examine the issue of psychosis from a multiplicity of perspectives. This paper provides a brief description of the interactive multimedia package, together with a discussion on the support offered to the students during its use. experiential taxonomy is used as a framework to guide the discussion on the learning and evaluation process used. Feedback from the students suggests that the CAL package is easy to use, informative and promoted independence and self-directed study.

Functional Interaction Network Construction and Analysis for Disease Discovery.

PubMed

Wu, Guanming; Haw, Robin

2017-01-01

Network-based approaches project seemingly unrelated genes or proteins onto a large-scale network context, therefore providing a holistic visualization and analysis platform for genomic data generated from high-throughput experiments, reducing the dimensionality of data via using network modules and increasing the statistic analysis power. Based on the Reactome database, the most popular and comprehensive open-source biological pathway knowledgebase, we have developed a highly reliable protein functional interaction network covering around 60 % of total human genes and an app called ReactomeFIViz for Cytoscape, the most popular biological network visualization and analysis platform. In this chapter, we describe the detailed procedures on how this functional interaction network is constructed by integrating multiple external data sources, extracting functional interactions from human curated pathway databases, building a machine learning classifier called a Naïve Bayesian Classifier, predicting interactions based on the trained Naïve Bayesian Classifier, and finally constructing the functional interaction database. We also provide an example on how to use ReactomeFIViz for performing network-based data analysis for a list of genes.

Inside Linden Lab: Second Life [TM] for Educators

ERIC Educational Resources Information Center

Atkinson, Tom

2008-01-01

A new culture called Second Life [TM] has emerged that promises innovative strategies for everything from social interactions to business. Some educators believe it may hold new and unique opportunities for teaching and learning. Second Life [TM] (SL) is the creation of Linden Labs, a San Francisco-based corporation defined by its creators as "an…

An Interactive Computer-Based Conferencing System to Accommodate Students' Learning Process.

ERIC Educational Resources Information Center

Saiedian, Hossein

1993-01-01

Describes an integrated computer-based conferencing and mail system called ICMS (Integrated Conferencing and Mail System) that was developed to encourage students to participate in class discussions more actively. The menu-driven user interface is explained, and ICMS's role in promoting self-assessment and critical thinking is discussed. (eight…

My First CMC Article Revisited: A Window on Spanish L2 Interlanguage

ERIC Educational Resources Information Center

Blake, Robert

2016-01-01

The computer-assisted language learning (CALL) field seems to change overnight with new technological affordances. Blake revisits his 2000 "LLT" article on computer-mediation communication (CMC) in order to reflect on how the field has examined this topic over the past decade or so. While the Interaction Hypothesis continues to guide…

Designing for Success in STEM Communities of Practice: Philosophy and Personal Interactions

ERIC Educational Resources Information Center

Kezar, Adrianna; Gehrke, Sean; Bernstein-Sierra, Samantha

2017-01-01

For the past 20 years, countless reports have been issued calling for reform of undergraduate education to improve student learning, persistence, and graduation rates for students in science, technology, engineering, and mathematics (STEM) majors. However, by many measures, recommendations in these reports have not been widely implemented. While…

Toward the Development of Socio-Metacognitive Expertise: An Approach to Developing Collaborative Competence

ERIC Educational Resources Information Center

Borge, Marcela; White, Barbara

2016-01-01

We proposed and evaluated an instructional framework for increasing students' ability to understand and regulate collaborative interactions called Co-Regulated Collaborative Learning (CRCL). In this instantiation of CRCL, models of collaborative competence were articulated through a set of socio-metacognitive roles. Our population consisted of 28…

Cross-Age Reading Buddies and Cultural-Sensitive Literature: Student-Centered English Language Instruction in an Ethiopian Budget School

ERIC Educational Resources Information Center

Cianca, Sherri

2012-01-01

The Ethiopian government has called for educational improvement, emphasizing the employment of active, student-centered pedagogy. One way of maximizing an interactive learning approach involves blending a cross-age reading buddies program with high-quality, culturally relevant children's literature. Employing descriptive, mixed-method research,…

Engaging Undergraduate Biology Students in Scientific Modeling: Analysis of Group Interactions, Sense-Making, and Justification

ERIC Educational Resources Information Center

Bierema, Andrea M.-K.; Schwarz, Christina V.; Stoltzfus, Jon R.

2017-01-01

National calls for improving science education (e.g., "Vision and Change") emphasize the need to learn disciplinary core ideas through scientific practices. To address this need, we engaged small groups of students in developing diagrammatic models within two (one large-enrollment and one medium-enrollment) undergraduate introductory…

The SEPnet Coil Demonstrates Electricity Generation

ERIC Educational Resources Information Center

Harvey, Clare; Hare, Jonathan

2009-01-01

The South East Physics Network (SEPnet) (www.sepnet.ac.uk/gcse.php) is exploring various ways to enhance physics learning and A-level uptake, including a series of interactive GCSE revision events. The first event, which includes talks and various physics exhibits by leading teachers and educators, is on energy and the exhibition--called "Who…

The Spread of ICT Innovation in Accounting Education

ERIC Educational Resources Information Center

Jebeile, Sam; Abeysekera, Indra

2010-01-01

This paper conveys the findings of a study conducted to evaluate the initiation of an interactive online computer-assisted learning module, called WEBLEARN, in an undergraduate introductory accounting course at an Australian university. The purpose was to aid students in the preparation of cash flow statements, a topic that from the student…

Developing CALL for Heritage Languages: "The 7 Keys of the Dragon"

ERIC Educational Resources Information Center

Revithiadou, Anthi; Kourtis-Kazoullis, Vasilia; Soukalopoulou, Maria; Konstantoudakis, Konstantinos; Zarras, Christos

2015-01-01

In this article we present an interactive extensible software, "The 7 Keys of the Dragon," for the teaching/learning of Albanian and Russian to students that attend primary and secondary education in Greece with the respective languages as their heritage languages. We address the key challenges we encountered during the conceptualization…

Social learning of a brood parasite by its host

PubMed Central

Feeney, William E.; Langmore, Naomi E.

2013-01-01

Arms races between brood parasites and their hosts provide model systems for studying the evolutionary repercussions of species interactions. However, how naive hosts identify brood parasites as enemies remains poorly understood, despite its ecological and evolutionary significance. Here, we investigate whether young, cuckoo-naive superb fairy-wrens, Malurus cyaneus, can learn to recognize cuckoos as a threat through social transmission of information. Naive individuals were initially unresponsive to a cuckoo specimen, but after observing conspecifics mob a cuckoo, they made more whining and mobbing alarm calls, and spent more time physically mobbing the cuckoo. This is the first direct evidence that naive hosts can learn to identify brood parasites as enemies via social learning. PMID:23760171

Social learning of a brood parasite by its host.

PubMed

Feeney, William E; Langmore, Naomi E

2013-08-23

Arms races between brood parasites and their hosts provide model systems for studying the evolutionary repercussions of species interactions. However, how naive hosts identify brood parasites as enemies remains poorly understood, despite its ecological and evolutionary significance. Here, we investigate whether young, cuckoo-naive superb fairy-wrens, Malurus cyaneus, can learn to recognize cuckoos as a threat through social transmission of information. Naive individuals were initially unresponsive to a cuckoo specimen, but after observing conspecifics mob a cuckoo, they made more whining and mobbing alarm calls, and spent more time physically mobbing the cuckoo. This is the first direct evidence that naive hosts can learn to identify brood parasites as enemies via social learning.

Virtual Teams and Human Work Interaction Design - Learning to Work in and Designing for Virtual Teams

NASA Astrophysics Data System (ADS)

Orngreen, Rikke; Clemmensen, Torkil; Pejtersen, Annelise Mark

The boundaries and work processes for how virtual teams interact are undergoing changes, from a tool and stand-alone application orientation, to the use of multiple generic platforms chosen and redesigned to the specific context. These are often at the same time designed both by professional software developers and the individual members of the virtual teams, rather than determined on a single organizational level. There may be no impact of the technology per se on individuals, groups or organizations, as the technology for virtual teams rather enhance situation ambiguity and disrupt existing task-artifact cycles. This ambiguous situation calls for new methods for empirical work analysis and interaction design that can help us understand how organizations, teams and individuals learn to organize, design and work in virtual teams in various networked contexts.

Teaching and Learning in the Mixed-Reality Science Classroom

NASA Astrophysics Data System (ADS)

Tolentino, Lisa; Birchfield, David; Megowan-Romanowicz, Colleen; Johnson-Glenberg, Mina C.; Kelliher, Aisling; Martinez, Christopher

2009-12-01

As emerging technologies become increasingly inexpensive and robust, there is an exciting opportunity to move beyond general purpose computing platforms to realize a new generation of K-12 technology-based learning environments. Mixed-reality technologies integrate real world components with interactive digital media to offer new potential to combine best practices in traditional science learning with the powerful affordances of audio/visual simulations. This paper introduces the realization of a learning environment called SMALLab, the Situated Multimedia Arts Learning Laboratory. We present a recent teaching experiment for high school chemistry students. A mix of qualitative and quantitative research documents the efficacy of this approach for students and teachers. We conclude that mixed-reality learning is viable in mainstream high school classrooms and that students can achieve significant learning gains when this technology is co-designed with educators.

Learning science through talk: A case study of middle school students engaged in collaborative group investigation

NASA Astrophysics Data System (ADS)

Zinicola, Debra Ann

Reformers call for change in how science is taught in schools by shifting the focus towards conceptual understanding for all students. Constructivist learning is being promoted through the dissemination of National and State Science Standards that recommend group learning practices in science classrooms. This study examined the science learning and interactions, using case study methodology, of one collaborative group of 4 students in an urban middle school. Data on science talk and social interaction were collected over 9 weeks through 12 science problem solving sessions. To determine student learning through peer interaction, varied group structures were implemented, and students reflected on the group learning experience. Data included: field notes, cognitive and reflective journals, audiotapes and videotapes of student talk, and audiotapes of group interviews. Journal data were analyzed quantitatively and all other data was transcribed into The Ethnograph database for qualitative analysis. The data record was organized into social and cognitive domains and coded with respect to interaction patterns to show how group members experienced the social construction of science concepts. The most significant finding was that all students learned as a result of 12 talk sessions as evidenced by pre- and post-conceptual change scores. Interactions that promoted learning involved students connecting their thoughts, rephrasing, and challenging ideas. The role structure was only used by students about 15% of the time, but it started the talk with a science focus, created awareness of scientific methods, and created an awareness of equitable member participation. Students offered more spontaneous, explanatory talk when the role structure was relaxed, but did not engage in as much scientific writing. They said the role structure was important for helping them know what to do in the talk but they no longer needed it after a time. Gender bias, status, and early adolescent developmental factors influenced many of the group's interactions. Recommendations are that: collaborative group problem solving be used frequently to promote conceptual change, teachers begin with a role structure to guide interactions, create heterogeneous groups, keep the same students together for a significant period of time, and monitor, guide, and teach during group learning sessions.

[Distance learning using internet in the field of bioengineering].

PubMed

Ciobanu, O

2003-01-01

The Leonardo da Vinci training programme supports innovative transnational initiatives for promoting the knowledge, aptitudes and skills necessary for successful integration into working life. Biomedical engineering is an emerging interdisciplinary field that contributes to understand, define and solve problems in biomedical technology within industrial and health service contexts. Paper presents a Leonardo da Vinci pilot-project called Web-based learning and training in the field of biomedical and design engineering (WEBD). This project has started on 2001. The WEBD project proposes to use advanced learning technologies to provide education in the www. Project uses interactive 3D graphics and virtual reality tools. The WEBD distance training permits users to experience and interact with a life-like model or environment, in safety and at convenient times, while providing a degree of control over the simulation that is usually not possible in the real-life situation.

Shaping Learning Cultures: A Strategic Challenge for Universities

NASA Astrophysics Data System (ADS)

Euler, Dieter

While there are strong stakeholders at universities arguing for increasing efforts to improve the research record, innovative actions for a corresponding commitment on teaching and learning are less frequent. In many cases, this issue is left to the discretion of individual teachers. In order to improve teaching and learning at universities, this approach does not seem to be appropriate. Rather, actions on different dimensions have to be organized, ranging from the individual, interactional, and institutional level of a university. The different perspectives on analysis and action are assembled in a construct called "learning cultures." This term covers the various dimensions impacting on student learning. The article provides a definition of "learning cultures," which will then be explained. Based on the explicated notion, a conceptual frame is put forward covering the key features of "learning cultures." Finally, some ideas are given providing some preliminary answers on how to shape learning cultures at the strategic level at universities.

Disinhibition, an emerging pharmacology of learning and memory.

PubMed

Möhler, Hanns; Rudolph, Uwe

2017-01-01

Learning and memory are dependent on interactive excitatory and inhibitory mechanisms. In this review, we discuss a mechanism called disinhibition, which is the release of an inhibitory constraint that effectively results in an increased activity in the target neurons (for example, principal or projection neurons). We focus on discussing the role of disinhibition in learning and memory at a basic level and in disease models with cognitive deficits and highlight a strategy to reverse cognitive deficits caused by excess inhibition, through disinhibition of α5-containing GABA A receptors mediating tonic inhibition in the hippocampus, based on subtype-selective negative allosteric modulators as a novel class of drugs.

User-Driven Sampling Strategies in Image Exploitation

DOE PAGES

Harvey, Neal R.; Porter, Reid B.

2013-12-23

Visual analytics and interactive machine learning both try to leverage the complementary strengths of humans and machines to solve complex data exploitation tasks. These fields overlap most significantly when training is involved: the visualization or machine learning tool improves over time by exploiting observations of the human-computer interaction. This paper focuses on one aspect of the human-computer interaction that we call user-driven sampling strategies. Unlike relevance feedback and active learning sampling strategies, where the computer selects which data to label at each iteration, we investigate situations where the user selects which data is to be labeled at each iteration. User-drivenmore » sampling strategies can emerge in many visual analytics applications but they have not been fully developed in machine learning. We discovered that in user-driven sampling strategies suggest new theoretical and practical research questions for both visualization science and machine learning. In this paper we identify and quantify the potential benefits of these strategies in a practical image analysis application. We find user-driven sampling strategies can sometimes provide significant performance gains by steering tools towards local minima that have lower error than tools trained with all of the data. Furthermore, in preliminary experiments we find these performance gains are particularly pronounced when the user is experienced with the tool and application domain.« less

User-driven sampling strategies in image exploitation

NASA Astrophysics Data System (ADS)

Harvey, Neal; Porter, Reid

2013-12-01

Visual analytics and interactive machine learning both try to leverage the complementary strengths of humans and machines to solve complex data exploitation tasks. These fields overlap most significantly when training is involved: the visualization or machine learning tool improves over time by exploiting observations of the human-computer interaction. This paper focuses on one aspect of the human-computer interaction that we call user-driven sampling strategies. Unlike relevance feedback and active learning sampling strategies, where the computer selects which data to label at each iteration, we investigate situations where the user selects which data is to be labeled at each iteration. User-driven sampling strategies can emerge in many visual analytics applications but they have not been fully developed in machine learning. User-driven sampling strategies suggest new theoretical and practical research questions for both visualization science and machine learning. In this paper we identify and quantify the potential benefits of these strategies in a practical image analysis application. We find user-driven sampling strategies can sometimes provide significant performance gains by steering tools towards local minima that have lower error than tools trained with all of the data. In preliminary experiments we find these performance gains are particularly pronounced when the user is experienced with the tool and application domain.

Collaborative Reflection Under the Microscope: Using Conversation Analysis to Study the Transition From Case Presentation to Discussion in GP Residents' Experience Sharing Sessions.

PubMed

Veen, Mario; de la Croix, Anne

2016-01-01

PHENOMENON: In higher education, reflection sessions are often used when participants learn in the workplace. In the Netherlands, all General Practitioner training programs include regular meetings called Exchange of Experiences, in which General Practitioner trainees are expected to learn collaboratively from their own and one another's experiences. Despite this being common practice, we found little research into the structure and process of these sessions. The purpose of this study is to describe the structure and characteristics of group reflection by describing transitions in interactions. We aim to describe the tutor's role in some detail, as this could lead to faculty development. In medical education, reflection is often approached from a cognitive perspective. However, learning in a group is also an interactional achievement. It is therefore relevant to study the sequential nature of group interaction in collaborative reflective practice. We have used conversation analysis to study the reflection meetings, zooming in on the transition between case presentation and discussion, focusing on the role of each of the participants in these transitions. The transitions were conversationally complex. Three interactional aspects recurred in the meetings. First, the transitions can be characterized as ambiguous, as there is ambiguity about what will happen next and the floor is open. Second, transitions are an arena for negotiations between case presenter, participants, and tutors, in which knowledge and the right to take the floor (epistemics) play an important part. Third, the tutor can have different interactional roles, namely, that of teacher, expert, facilitator, and active participant. The role of the tutor is important as the tutor's interactional behavior is part of the hidden curriculum. Insights: Conversation analysis focuses on the interaction in group learning and shows how the interaction is part of what is learned and how learning takes place. Transitions are the "messy" moments in interaction yet can tell a lot about the way in which group participants relate to one another. Being conscious of how the floor is taken, the tutor's roles, and the way negotiations take place could help medical educators in the way they shape collaborative learning sessions.

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

ERIC Educational Resources Information Center

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")…

Coaching the exploration and exploitation in active learning for interactive video retrieval.

PubMed

Wei, Xiao-Yong; Yang, Zhen-Qun

2013-03-01

Conventional active learning approaches for interactive video/image retrieval usually assume the query distribution is unknown, as it is difficult to estimate with only a limited number of labeled instances available. Thus, it is easy to put the system in a dilemma whether to explore the feature space in uncertain areas for a better understanding of the query distribution or to harvest in certain areas for more relevant instances. In this paper, we propose a novel approach called coached active learning that makes the query distribution predictable through training and, therefore, avoids the risk of searching on a completely unknown space. The estimated distribution, which provides a more global view of the feature space, can be used to schedule not only the timing but also the step sizes of the exploration and the exploitation in a principled way. The results of the experiments on a large-scale data set from TRECVID 2005-2009 validate the efficiency and effectiveness of our approach, which demonstrates an encouraging performance when facing domain-shift, outperforms eight conventional active learning methods, and shows superiority to six state-of-the-art interactive video retrieval systems.

Promoting Active Learning When Teaching Introductory Statistics and Probability Using a Portfolio Curriculum Approach

ERIC Educational Resources Information Center

Adair, Desmond; Jaeger, Martin; Price, Owen M.

2018-01-01

The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…

Do Students Really Notice? A Study of the Impact of a Local Systemic Reform.

ERIC Educational Resources Information Center

Shymansky, James A.; Yore, Larry D.; Dunkhase, John A.; Hand, Brian M.

This paper describes a major reform effort of an elementary science curriculum called the Science: Parents, Activities, and Literature (Science PALs) Project. The goal of the project was to move teachers towards an interactive-constructivist model of teaching and learning that assumes a middle-of-the-road interpretation of constructivism where…

Marbles and Machiavelli: The Role of Game Play in Children's Social Development

ERIC Educational Resources Information Center

Lancy, David F.; Grove, M. Annette

2011-01-01

The authors review several case studies of children engaged in rule-governed play and conclude that the process of learning rules--and of breaking them and making new ones--promotes what they call gamesmanship. They link the development of gamesmanship to the theory of Machiavellian intelligence, which considers social interaction primary in the…

Interactivity Technologies to Improve the Learning in Classrooms through the Cloud

ERIC Educational Resources Information Center

Fardoun, Habib M.; Alghazzawi, Daniyal M.; Paules, Antonio

2018-01-01

In this paper, the authors present a cloud system that incorporate tools developed in HTML5 and JQuery technologies, which are offered to professors and students in the development of a teaching methodology called flipped classroom, where the theoretical content is usually delivered by video files and self-assessment tools that students can…

The Effects of a Responsive Parenting Intervention on Parent-Child Interactions during Shared Book Reading

ERIC Educational Resources Information Center

Landry, Susan H.; Smith, Karen E.; Swank, Paul R.; Zucker, Tricia; Crawford, April D.; Solari, Emily F.

2012-01-01

This study examined mother-child shared book reading behaviors before and after participation in a random-assignment responsive parenting intervention called Play and Learning Strategies (PALS) that occurred during infancy (PALS I), the toddler-preschool (PALS II) period, or both as compared with a developmental assessment (DAS) intervention (DAS…

Extending Talk on a Prescribed Discussion Topic in a Learner-Native Speaker eTandem Learning Task

ERIC Educational Resources Information Center

Black, Emily

2017-01-01

Opportunities for language learners to access authentic input and engage in consequential interactions with native speakers of their target language abound in this era of computer mediated communication. Synchronous audio/video calling software represents one opportunity to access such input and address the challenges of developing pragmatic and…

Them Children: A Study in Language Learning. Case Studies in Education and Culture Series.

ERIC Educational Resources Information Center

Ward, Martha Coonfield

This is a study of how children in a small community called Rosepoint, in the vicinity of New Orleans, acquire speech. The author provides essential contextualization for her problem, dealing with family composition, life space, means used to control children, and interaction between members of the household. The author made intensive observations…

Reflections on the Ecolab and the Zone of Proximal Development

ERIC Educational Resources Information Center

Luckin, Rosemary; du Boulay, Benedict

2016-01-01

In 1999 we reported a study that explored the way that Vygotsky's Zone of Proximal Development could be used to inform the design of an Interactive Learning Environment called the Ecolab. Two aspects of this work have subsequently been used for further research. Firstly, there is the interpretation of the ZPD and its associated theory that was…

Management of subalpine forests: Building on 50 years of research

Treesearch

Charles A. Troendle; Merrill R. Kaufmann; R. H. Hamre; Robert P. Winokur

1987-01-01

This summer marked the 50th anniversary of the Fraser Experimental Forest. These proceedings are the tangible product of the technical conference called to summarize, discuss, and transfer the knowledge learned over these 50 years. Eighteen formal papers describe the status of our knowledge about the interactions among timber, water, and wildlife. These papers were...

Technology for Musicianship: Using the Internet for Music Instruction.

ERIC Educational Resources Information Center

Kassner, Kirk

2001-01-01

Presents descriptions of using the Internet for music instruction by Laura Ferguson, James F. Daugherty, and Sandi MacLeod. Covers topics such as steps for creating and publishing movies on a Web site, a template for electronic learning called ChoirONLINE based on the creative use of interactive Web forms, and the Vermont MIDI Project. (CMK)

Instructable autonomous agents. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Huffman, Scott Bradley

1994-01-01

In contrast to current intelligent systems, which must be laboriously programmed for each task they are meant to perform, instructable agents can be taught new tasks and associated knowledge. This thesis presents a general theory of learning from tutorial instruction and its use to produce an instructable agent. Tutorial instruction is a particularly powerful form of instruction, because it allows the instructor to communicate whatever kind of knowledge a student needs at whatever point it is needed. To exploit this broad flexibility, however, a tutorable agent must support a full range of interaction with its instructor to learn a full range of knowledge. Thus, unlike most machine learning tasks, which target deep learning of a single kind of knowledge from a single kind of input, tutorability requires a breadth of learning from a broad range of instructional interactions. The theory of learning from tutorial instruction presented here has two parts. First, a computational model of an intelligent agent, the problem space computational model, indicates the types of knowledge that determine an agent's performance, and thus, that should be acquirable via instruction. Second, a learning technique, called situated explanation specifies how the agent learns general knowledge from instruction. The theory is embodied by an implemented agent, Instructo-Soar, built within the Soar architecture. Instructo-Soar is able to learn hierarchies of completely new tasks, to extend task knowledge to apply in new situations, and in fact to acquire every type of knowledge it uses during task performance - control knowledge, knowledge of operators' effects, state inferences, etc. - from interactive natural language instructions. This variety of learning occurs by applying the situated explanation technique to a variety of instructional interactions involving a variety of types of instructions (commands, statements, conditionals, etc.). By taking seriously the requirements of flexible tutorial instruction, Instructo-Soar demonstrates a breadth of interaction and learning capabilities that goes beyond previous instructable systems, such as learning apprentice systems. Instructo-Soar's techniques could form the basis for future 'instructable technologies' that come equipped with basic capabilities, and can be taught by novice users to perform any number of desired tasks.

Integrating Learning Styles and Personality Traits into an Affective Model to Support Learner's Learning

NASA Astrophysics Data System (ADS)

Leontidis, Makis; Halatsis, Constantin

The aim of this paper is to present a model in order to integrate the learning style and the personality traits of a learner into an enhanced Affective Style which is stored in the learner’s model. This model which can deal with the cognitive abilities as well as the affective preferences of the learner is called Learner Affective Model (LAM). The LAM is used to retain learner’s knowledge and activities during his interaction with a Web-based learning environment and also to provide him with the appropriate pedagogical guidance. The proposed model makes use of an ontological approach in combination with the Bayesian Network model and contributes to the efficient management of the LAM in an Affective Module.

Interactive radio: distance education in the classroom.

PubMed

1988-01-01

The Honduran Association for Socioeconomic Growth and Development (AVANCE) in conjunction with the U.S. Agency for International Development's Radio Learning Project has developed and promoted programs for radio that encourage interactive learning in Latin America. The Second Interamerican Conference on Interactive Radio was recently held in Tela, Honduras where educators and participants came to attend workshops on scriptwriting, instructional design, community support and other related topics. The participants had the opportunity to study the second generation of interactive radio. Beginning in 1973, Nicaragua began an interactive radio program written for early grade mathematics students. Currently, Honduras is marketing a mathematics program entitled, La Familia de los Numeros," or the Family of Numbers to other countries. In Bolivia, an organization called, "Fe y Alegria," or Faith and Happiness is broadcasting educational programs through the use of interactive radio. In Ecuador, testing has begun to study the viability of interactive radio for their educational system, and in Costa Rica, replication of Honduras' "Familia de los Numeros" has begun. Teachers have noted an improved grasp of subject matter and better attentiveness through the use of interactive radio programs. The programs present 30 minutes of mathematics information and 30 minutes of language information. For each grade, 170 programs have been developed.

Theories to aid understanding and implementation of interprofessional education.

PubMed

Sargeant, Joan

2009-01-01

Multiple events are calling for greater interprofessional collaboration and communication, including initiatives aimed at enhancing patient safety and preventing medical errors. Education is 1 way to increase collaboration and communication, and is an explicit goal of interprofessional education (IPE). Yet health professionals to date are largely educated in isolation. IPE differs from most traditional continuing education in that knowledge is largely socially created through interactions with others and involves unique collaborative skills and attitudes. It requires thinking differently about what constitutes teaching and learning. The article draws upon a small number of social and learning theories to explain the rationale for IPE needing a new way of thinking, and proposes approaches to guide development and implementation of IP continuing education. Social psychology and complexity theory explain the influence of the dynamism and interaction of internal (cognitive) and external (environmental) factors upon learning and set the stage for IPE. Theories related to professionalism and stereotyping, communities of practice, reflective learning, and transformative learning appear central to IPE and guide specific educational interventions. In sum, IPE requires CE to adopt new content, recognize new knowledge, and use new approaches for learning; we are now in a different place.

Distance learning through synchronous interactive television.

PubMed

Hall, Janis L

2007-01-01

The advent and popularity of asynchronous online learning has somewhat obscured a standby technology developed over the last two decades. Interactive videoconferencing, sometimes called "interactive television," though not as glamorous and popular a topic at distance-learning conferences, is still alive and well at many institutions. Three or four years ago, many of us were led to believe that interactive television would go the way of the dinosaurs-everything would soon be in an asynchronous format or on individual desktops. There would no longer be any need for elaborately designed classrooms, networks, and operations staff. To date, this prediction has not come true. In fact, synchronous interactive television has experienced significant growth as newer, easier, and cheaper technologies allow institutions to reach more students with less resource investment. Faculty and students, while appreciating the convenience of asynchronous delivery, still express a need for synchronous communication. This article explores the issues involved in synchronous distance education, the current technologies and proposed future developments, and best practices in terms of classroom design, faculty use, and operational issues. It is not a research article but an anecdotal case study based on Washington State University's experiences over the last 20 years in developing and adapting to new synchronous technologies and creating the support and technical infrastructure to best deliver academic courses through this medium.

Reconstructing spatial organizations of chromosomes through manifold learning

PubMed Central

Deng, Wenxuan; Hu, Hailin; Ma, Rui; Zhang, Sai; Yang, Jinglin; Peng, Jian; Kaplan, Tommy; Zeng, Jianyang

2018-01-01

Abstract Decoding the spatial organizations of chromosomes has crucial implications for studying eukaryotic gene regulation. Recently, chromosomal conformation capture based technologies, such as Hi-C, have been widely used to uncover the interaction frequencies of genomic loci in a high-throughput and genome-wide manner and provide new insights into the folding of three-dimensional (3D) genome structure. In this paper, we develop a novel manifold learning based framework, called GEM (Genomic organization reconstructor based on conformational Energy and Manifold learning), to reconstruct the three-dimensional organizations of chromosomes by integrating Hi-C data with biophysical feasibility. Unlike previous methods, which explicitly assume specific relationships between Hi-C interaction frequencies and spatial distances, our model directly embeds the neighboring affinities from Hi-C space into 3D Euclidean space. Extensive validations demonstrated that GEM not only greatly outperformed other state-of-art modeling methods but also provided a physically and physiologically valid 3D representations of the organizations of chromosomes. Furthermore, we for the first time apply the modeled chromatin structures to recover long-range genomic interactions missing from original Hi-C data. PMID:29408992

Technology support in nursing education: clickers in the classroom.

PubMed

Berry, Janice

2009-01-01

Research has shown that the present generation of students has a preference for digital literacy, experiential learning, interactivity, and immediacy; therefore, greater use of technology is being brought into university courses to aid in student involvement. Student Response Systems, called clickers, were incorporated as a teaching methodology to enhance student interaction and learning in a didactic pediatric nursing course. This course was taught over Interactive Television (ITV) with students at a distant site as well as face to face, creating the challenge of whole-class engagement. Clickers were used to actively engage students at both sites simultaneously and give immediate feedback to students regarding understanding of lecture material. Clickers also allowed small-group problem solving of questions. Exam grades and level of participation in case studies were monitored and exam scores and final scores were compared to those of a previous class. Student t-tests demonstrated that one of three course exams and final course grades were significantly higher for the students who used clickers in the classroom. Satisfaction feedback also supported the use of clickers as a tool to engage students and enhance learning outcomes.

Reconstructing spatial organizations of chromosomes through manifold learning.

PubMed

Zhu, Guangxiang; Deng, Wenxuan; Hu, Hailin; Ma, Rui; Zhang, Sai; Yang, Jinglin; Peng, Jian; Kaplan, Tommy; Zeng, Jianyang

2018-05-04

Decoding the spatial organizations of chromosomes has crucial implications for studying eukaryotic gene regulation. Recently, chromosomal conformation capture based technologies, such as Hi-C, have been widely used to uncover the interaction frequencies of genomic loci in a high-throughput and genome-wide manner and provide new insights into the folding of three-dimensional (3D) genome structure. In this paper, we develop a novel manifold learning based framework, called GEM (Genomic organization reconstructor based on conformational Energy and Manifold learning), to reconstruct the three-dimensional organizations of chromosomes by integrating Hi-C data with biophysical feasibility. Unlike previous methods, which explicitly assume specific relationships between Hi-C interaction frequencies and spatial distances, our model directly embeds the neighboring affinities from Hi-C space into 3D Euclidean space. Extensive validations demonstrated that GEM not only greatly outperformed other state-of-art modeling methods but also provided a physically and physiologically valid 3D representations of the organizations of chromosomes. Furthermore, we for the first time apply the modeled chromatin structures to recover long-range genomic interactions missing from original Hi-C data.

CaMELS: In silico prediction of calmodulin binding proteins and their binding sites.

PubMed

Abbasi, Wajid Arshad; Asif, Amina; Andleeb, Saiqa; Minhas, Fayyaz Ul Amir Afsar

2017-09-01

Due to Ca 2+ -dependent binding and the sequence diversity of Calmodulin (CaM) binding proteins, identifying CaM interactions and binding sites in the wet-lab is tedious and costly. Therefore, computational methods for this purpose are crucial to the design of such wet-lab experiments. We present an algorithm suite called CaMELS (CalModulin intEraction Learning System) for predicting proteins that interact with CaM as well as their binding sites using sequence information alone. CaMELS offers state of the art accuracy for both CaM interaction and binding site prediction and can aid biologists in studying CaM binding proteins. For CaM interaction prediction, CaMELS uses protein sequence features coupled with a large-margin classifier. CaMELS models the binding site prediction problem using multiple instance machine learning with a custom optimization algorithm which allows more effective learning over imprecisely annotated CaM-binding sites during training. CaMELS has been extensively benchmarked using a variety of data sets, mutagenic studies, proteome-wide Gene Ontology enrichment analyses and protein structures. Our experiments indicate that CaMELS outperforms simple motif-based search and other existing methods for interaction and binding site prediction. We have also found that the whole sequence of a protein, rather than just its binding site, is important for predicting its interaction with CaM. Using the machine learning model in CaMELS, we have identified important features of protein sequences for CaM interaction prediction as well as characteristic amino acid sub-sequences and their relative position for identifying CaM binding sites. Python code for training and evaluating CaMELS together with a webserver implementation is available at the URL: http://faculty.pieas.edu.pk/fayyaz/software.html#camels. © 2017 Wiley Periodicals, Inc.

Implementation of a successful on-call system in clinical chemistry.

PubMed

Hobbs, G A; Jortani, S A; Valdes, R

1997-11-01

Successful practice of clinical pathology depends on a wide variety of laboratory, clinical, and managerial decisions. The skills needed to make these decisions can most effectively be learned by residents and fellows in pathology using a service-oriented on-call approach. We report our experience implementing an on-call system in the clinical chemistry laboratory at the University of Louisville Hospital (Ky). We detail the guidelines used to establish this system and the elements required for its successful implementation. The system emphasizes a laboratory-initiated approach to linking laboratory results to patient care. From inception of the program during late 1990 through 1995, the number of beeper calls (including clinician contacts) steadily increased and is currently 8 to 20 per week. The on-call system is active 24 hours per day, 7 days per week, thus representing activity on all three laboratory shifts. Types of responses were separated into administrative (12%), analytical (42%), clinical (63%), quality control or quality assurance (12%), and consultation (13%) categories. We also present 6 case reports as examples demonstrating multiple elements in these categories. In 23% of the calls, clinician contact was required and achieved by the fellow or resident on call for the laboratory. The on-call reports are documented and presented informally at weekly on-call report sessions. Emphasis is placed on learning and refinement of investigative skills needed to function as an effective laboratory director. Educational emphasis for the medical staff is in establishing awareness of the presence of the laboratory as an important interactive component of patient care. In addition, we found this program to be beneficial to the hospital and to the department of pathology in fulfilling its clinical service and teaching missions. Our experience may be helpful to other institutions establishing such a program.

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

NASA Astrophysics Data System (ADS)

Kim, Dong Won; Yao, Jingtao

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

Examining Teachers' Struggles as They Attempt to Implement Dialogical Interaction as Part of Promoting Mathematical Reasoning within Their Classrooms

ERIC Educational Resources Information Center

Akkus, Recai; Hand, Brian

2011-01-01

This study examines the changes in teaching practices during the implementation of a pedagogical model called the mathematics reasoning approach (MRA), which was founded on 2 critical areas in mathematics, problem solving, and writing to learn. Three algebra teachers implemented the approach with their classes, which were divided into control…

CALL from an Ecological Perspective: How a Teacher Perceives Affordance and Fosters Learner Agency in a Technology-Mediated Language Classroom

ERIC Educational Resources Information Center

Liu, Qian; Chao, Chin-Chi

2018-01-01

The possibility of exploiting technology for more robust and meaningful learning and teaching has invoked messianic responses from the language education community. Yet to be explored are teachers' pedagogical choices based on the perceived technological affordances as well as interactions between teacher and student agency mediated by these…

The Use of Wikis in a Science Inquiry-Based Project in a Primary School

ERIC Educational Resources Information Center

Lau, Wilfred W. F.; Lui, Vicky; Chu, Samuel K. W.

2017-01-01

This study explored the use of wikis in a science inquiry-based project conducted with Primary 6 students (aged 11-12). It used an online wiki-based platform called PBworks and addressed the following research questions: (1) What are students' attitudes toward learning with wikis? (2) What are students' interactions in online group collaboration…

Interactions of Economics of Science and Science Education: Investigating the Implications for Science Teaching and Learning

ERIC Educational Resources Information Center

Erduran, Sibel; Mugaloglu, Ebru Z.

2013-01-01

In recent years, there has been upsurge of interest in the applications of interdisciplinary perspectives on science in science education. Within this framework, the implications of the so-called "economics of science" is virtually an uncharted territory. In this paper, we trace a set of arguments that provide a dialectic engagement with…

The influence of the application of personal response systems on the effects of teaching and learning physics at the high school level

NASA Astrophysics Data System (ADS)

Binek, Sławomir; Kimla, Damian; Jarosz, Jerzy

2017-01-01

We report on the effectiveness of using interactive personal response systems in teaching physics in secondary schools. Our research were conducted over the period of 2013-2016 using the system called clickers. The idea is based on a reciprocal interaction allowing one to ask questions and receive immediate responses from all the students simultaneously. Our investigation has confirmed this method to be highly effective and powerful. In particular, students’ ability to acquire knowledge increased with the time spent using clickers. We have successfully applied the system also to entire physics courses. As a result, a positive feedback from students has been observed: not only did they learn more but also the teachers were able to improve their own methods.

Metabolome of human gut microbiome is predictive of host dysbiosis.

PubMed

Larsen, Peter E; Dai, Yang

2015-01-01

Humans live in constant and vital symbiosis with a closely linked bacterial ecosystem called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer; a condition called dysbiosis. However, the community compositions of human microbiomes also vary dramatically from individual to individual, and over time, making it difficult to uncover the underlying mechanisms linking the microbiome to human health. We propose that a microbiome's interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependent on its community metabolome; an emergent property of the microbiome. Using data from a previously published, longitudinal study of microbiome populations of the human gut, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the aggregate predicted community enzyme function profiles and modeled metabolomes of a microbiome are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles. Specific enzyme functions and metabolites predictive of dysbiosis provide insights into the molecular mechanisms of microbiome-host interactions. The ability to use machine learning to predict dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health, pointing to potential microbiome-based diagnostics and therapeutic interventions.

Metabolome of human gut microbiome is predictive of host dysbiosis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Larsen, Peter E.; Dai, Yang

Background: Humans live in constant and vital symbiosis with a closely linked bacterial ecosystem called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer; a condition called dysbiosis. The community compositions of human microbiomes also vary dramatically from individual to individual, and over time, making it difficult to uncover the underlying mechanisms linking the microbiome to human health. We propose that a microbiome’s interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependent onmore » its community metabolome; an emergent property of the microbiome. Results: Using data from a previously published, longitudinal study of microbiome populations of the human gut, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the aggregate predicted community enzyme function profiles and modeled metabolomes of a microbiome are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles. Conclusions: Specific enzyme functions and metabolites predictive of dysbiosis provide insights into the molecular mechanisms of microbiome–host interactions. The ability to use machine learning to predict dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health, pointing to potential microbiome-based diagnostics and therapeutic interventions.« less

Metabolome of human gut microbiome is predictive of host dysbiosis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Larsen, Peter E.; Dai, Yang

Background: Humans live in constant and vital symbiosis with a closely linked bacterial ecosystem called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer; a condition called dysbiosis. However, the community compositions of human microbiomes also vary dramatically from individual to individual, and over time, making it difficult to uncover the underlying mechanisms linking the microbiome to human health. We propose that a microbiome’s interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependentmore » on its community metabolome; an emergent property of the microbiome. Results: Using data from a previously published, longitudinal study of microbiome populations of the human gut, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the aggregate predicted community enzyme function profiles and modeled metabolomes of a microbiome are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles. Conclusions: Specific enzyme functions and metabolites predictive of dysbiosis provide insights into the molecular mechanisms of microbiome–host interactions. The ability to use machine learning to predict dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health, pointing to potential microbiome-based diagnostics and therapeutic interventions.« less

Metabolome of human gut microbiome is predictive of host dysbiosis

DOE PAGES

Larsen, Peter E.; Dai, Yang

2015-09-14

Background: Humans live in constant and vital symbiosis with a closely linked bacterial ecosystem called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer; a condition called dysbiosis. The community compositions of human microbiomes also vary dramatically from individual to individual, and over time, making it difficult to uncover the underlying mechanisms linking the microbiome to human health. We propose that a microbiome’s interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependent onmore » its community metabolome; an emergent property of the microbiome. Results: Using data from a previously published, longitudinal study of microbiome populations of the human gut, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the aggregate predicted community enzyme function profiles and modeled metabolomes of a microbiome are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles. Conclusions: Specific enzyme functions and metabolites predictive of dysbiosis provide insights into the molecular mechanisms of microbiome–host interactions. The ability to use machine learning to predict dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health, pointing to potential microbiome-based diagnostics and therapeutic interventions.« less

Addition of fraction in swimming context

NASA Astrophysics Data System (ADS)

Putri, R. I. I.; Gunawan, M. S.; Zulkardi

2017-12-01

This study aimed to produce learning trajectory that can help students in learning fractions by using swimming context. The study involved 37 fourth grade students with different capabilities in Elementary School IBA, South Sumatra, Indonesia. This study used an instructional theory called Indonesian version of Realistic Mathematics Education (PMRI). This research used design research method with three stages: preliminary design, the design experiment, and retrospective analysis. Several techniques used for collecting data including a video recording of students interaction in the group discussion, students’ work, and interviewing the students. To conclude, the swimming context could stimulate students’ informal knowledge about the meaning of fractions in which it can be used in the additional learning either the same denominator or different denominator.

Bayesian Modeling for Identification and Estimation of the Learning Effects of Pointing Tasks

NASA Astrophysics Data System (ADS)

Kyo, Koki

Recently, in the field of human-computer interaction, a model containing the systematic factor and human factor has been proposed to evaluate the performance of the input devices of a computer. This is called the SH-model. In this paper, in order to extend the range of application of the SH-model, we propose some new models based on the Box-Cox transformation and apply a Bayesian modeling method for identification and estimation of the learning effects of pointing tasks. We consider the parameters describing the learning effect as random variables and introduce smoothness priors for them. Illustrative results show that the newly-proposed models work well.

Efficacy of a Meiosis Learning Module Developed for the Virtual Cell Animation Collection

PubMed Central

Goff, Eric E.; Reindl, Katie M.; Johnson, Christina; McClean, Phillip; Offerdahl, Erika G.; Schroeder, Noah L.; White, Alan R.

2017-01-01

Recent reports calling for change in undergraduate biology education have resulted in the redesign of many introductory biology courses. Reports on one common change to course structure, the active-learning environment, have placed an emphasis on student preparation, noting that the positive outcomes of active learning in the classroom depend greatly on how well the student prepares before class. As a possible preparatory resource, we test the efficacy of a learning module developed for the Virtual Cell Animation Collection. This module presents the concepts of meiosis in an interactive, dynamic environment that has previously been shown to facilitate learning in introductory biology students. Participants (n = 534) were enrolled in an introductory biology course and were presented the concepts of meiosis in one of two treatments: the interactive-learning module or a traditional lecture session. Analysis of student achievement shows that students who viewed the learning module as their only means of conceptual presentation scored significantly higher (d = 0.40, p < 0.001) than students who only attended a traditional lecture on the topic. Our results show the animation-based learning module effectively conveyed meiosis conceptual understanding, which suggests that it may facilitate student learning outside the classroom. Moreover, these results have implications for instructors seeking to expand their arsenal of tools for “flipping” undergraduate biology courses. PMID:28188282

Pedagogy and Related Criteria: The Selection of Software for Computer Assisted Language Learning

ERIC Educational Resources Information Center

Samuels, Jeffrey D.

2013-01-01

Computer-Assisted Language Learning (CALL) is an established field of academic inquiry with distinct applications for second language teaching and learning. Many CALL professionals direct language labs or language resource centers (LRCs) in which CALL software applications and generic software applications support language learning programs and…

Improving the power of an efficacy study of a social and emotional learning program: application of generalizability theory to the measurement of classroom-level outcomes.

PubMed

Mashburn, Andrew J; Downer, Jason T; Rivers, Susan E; Brackett, Marc A; Martinez, Andres

2014-04-01

Social and emotional learning programs are designed to improve the quality of social interactions in schools and classrooms in order to positively affect students' social, emotional, and academic development. The statistical power of group randomized trials to detect effects of social and emotional learning programs and other preventive interventions on setting-level outcomes is influenced by the reliability of the outcome measure. In this paper, we apply generalizability theory to an observational measure of the quality of classroom interactions that is an outcome in a study of the efficacy of a social and emotional learning program called The Recognizing, Understanding, Labeling, Expressing, and Regulating emotions Approach. We estimate multiple sources of error variance in the setting-level outcome and identify observation procedures to use in the efficacy study that most efficiently reduce these sources of error. We then discuss the implications of using different observation procedures on both the statistical power and the monetary costs of conducting the efficacy study.

iCBLS: An interactive case-based learning system for medical education.

PubMed

Ali, Maqbool; Han, Soyeon Caren; Bilal, Hafiz Syed Muhammad; Lee, Sungyoung; Kang, Matthew Jee Yun; Kang, Byeong Ho; Razzaq, Muhammad Asif; Amin, Muhammad Bilal

2018-01-01

Medical students should be able to actively apply clinical reasoning skills to further their interpretative, diagnostic, and treatment skills in a non-obtrusive and scalable way. Case-Based Learning (CBL) approach has been receiving attention in medical education as it is a student-centered teaching methodology that exposes students to real-world scenarios that need to be solved using their reasoning skills and existing theoretical knowledge. In this paper, we propose an interactive CBL System, called iCBLS, which supports the development of collaborative clinical reasoning skills for medical students in an online environment. The iCBLS consists of three modules: (i) system administration (SA), (ii) clinical case creation (CCC) with an innovative semi-automatic approach, and (iii) case formulation (CF) through intervention of medical students' and teachers' knowledge. Two evaluations under the umbrella of the context/input/process/product (CIPP) model have been performed with a Glycemia study. The first focused on the system satisfaction, evaluated by 54 students. The latter aimed to evaluate the system effectiveness, simulated by 155 students. The results show a high success rate of 70% for students' interaction, 76.4% for group learning, 72.8% for solo learning, and 74.6% for improved clinical skills. Copyright © 2017 Elsevier B.V. All rights reserved.

Computer-based learning: interleaving whole and sectional representation of neuroanatomy.

PubMed

Pani, John R; Chariker, Julia H; Naaz, Farah

2013-01-01

The large volume of material to be learned in biomedical disciplines requires optimizing the efficiency of instruction. In prior work with computer-based instruction of neuroanatomy, it was relatively efficient for learners to master whole anatomy and then transfer to learning sectional anatomy. It may, however, be more efficient to continuously integrate learning of whole and sectional anatomy. A study of computer-based learning of neuroanatomy was conducted to compare a basic transfer paradigm for learning whole and sectional neuroanatomy with a method in which the two forms of representation were interleaved (alternated). For all experimental groups, interactive computer programs supported an approach to instruction called adaptive exploration. Each learning trial consisted of time-limited exploration of neuroanatomy, self-timed testing, and graphical feedback. The primary result of this study was that interleaved learning of whole and sectional neuroanatomy was more efficient than the basic transfer method, without cost to long-term retention or generalization of knowledge to recognizing new images (Visible Human and MRI). Copyright © 2012 American Association of Anatomists.

Bare-Bones Teaching-Learning-Based Optimization

PubMed Central

Zou, Feng; Wang, Lei; Hei, Xinhong; Chen, Debao; Jiang, Qiaoyong; Li, Hongye

2014-01-01

Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. In this method, each learner of teacher phase employs an interactive learning strategy, which is the hybridization of the learning strategy of teacher phase in the standard TLBO and Gaussian sampling learning based on neighborhood search, and each learner of learner phase employs the learning strategy of learner phase in the standard TLBO or the new neighborhood search strategy. To verify the performance of our approaches, 20 benchmark functions and two real-world problems are utilized. Conducted experiments can been observed that the BBTLBO performs significantly better than, or at least comparable to, TLBO and some existing bare-bones algorithms. The results indicate that the proposed algorithm is competitive to some other optimization algorithms. PMID:25013844

Bare-bones teaching-learning-based optimization.

PubMed

Zou, Feng; Wang, Lei; Hei, Xinhong; Chen, Debao; Jiang, Qiaoyong; Li, Hongye

2014-01-01

Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. In this method, each learner of teacher phase employs an interactive learning strategy, which is the hybridization of the learning strategy of teacher phase in the standard TLBO and Gaussian sampling learning based on neighborhood search, and each learner of learner phase employs the learning strategy of learner phase in the standard TLBO or the new neighborhood search strategy. To verify the performance of our approaches, 20 benchmark functions and two real-world problems are utilized. Conducted experiments can been observed that the BBTLBO performs significantly better than, or at least comparable to, TLBO and some existing bare-bones algorithms. The results indicate that the proposed algorithm is competitive to some other optimization algorithms.

Computer-Based Learning: Interleaving Whole and Sectional Representation of Neuroanatomy

PubMed Central

Pani, John R.; Chariker, Julia H.; Naaz, Farah

2015-01-01

The large volume of material to be learned in biomedical disciplines requires optimizing the efficiency of instruction. In prior work with computer-based instruction of neuroanatomy, it was relatively efficient for learners to master whole anatomy and then transfer to learning sectional anatomy. It may, however, be more efficient to continuously integrate learning of whole and sectional anatomy. A study of computer-based learning of neuroanatomy was conducted to compare a basic transfer paradigm for learning whole and sectional neuroanatomy with a method in which the two forms of representation were interleaved (alternated). For all experimental groups, interactive computer programs supported an approach to instruction called adaptive exploration. Each learning trial consisted of time-limited exploration of neuroanatomy, self-timed testing, and graphical feedback. The primary result of this study was that interleaved learning of whole and sectional neuroanatomy was more efficient than the basic transfer method, without cost to long-term retention or generalization of knowledge to recognizing new images (Visible Human and MRI). PMID:22761001

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

ERIC Educational Resources Information Center

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…

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

ERIC Educational Resources Information Center

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…

The interaction between specific and general information in category learning and representation: unitization and parallel interactive processing.

PubMed

Nahinsky, Irwin D; Harbison, J Isaiah

2011-01-01

We investigated the effects of specific stimulus information on the use of rule information in a category learning task in 2 experiments, one presented here and an intercategory transfer task reported in an earlier article. In the present experiment photograph--name combinations, called identifiers, were associated with 4 demographic attributes. The same attribute information was shown to all participants. However, for one group of participants, half of the identifiers were paired with attribute values repeated over presentation blocks. For the other group the identifier information was new for each presentation block. The first group performed less well than the second group on stimuli with nonrepeated identifiers, indicating a negative effect of specific stimulus information on processing rule information. Application of a network model to the 2 experiments, which provided for the growth of connections between attribute values in learning, indicated that repetition of identifiers produced a unitizing effect on stimuli. Results suggested that unitization produced interference through connections between irrelevant attribute values.

Children of the Cloth: Flannelboards Are a Great Tool to Help Kids Learn Early Literacy Skills

ERIC Educational Resources Information Center

Arnold, Renea; Colburn, Nell

2004-01-01

Flannelboards have been a storytime staple for years in school and public libraries. The flannelboard, or feltboard as it often is called, is a great tool to help children build early literacy skills. Reading research tells us that reading aloud is most effective when it is an interactive experience between the reader and the child. Flannelboard…

Creating a web-enhanced interactive preclinic technique manual: case report and student response.

PubMed

Boberick, Kenneth G

2004-12-01

This article describes the development, use, and student response to an online manual developed with off-the-shelf software and made available using a web-based course management system (Blackboard) that was used to transform a freshman restorative preclinical technique course from a lecture-only course into an interactive web-enhanced course. The goals of the project were to develop and implement a web-enhanced interactive learning experience in a preclinical restorative technique course and shift preclinical education from a teacher-centered experience to a student-driven experience. The project was evaluated using an anonymous post-course survey (95 percent response rate) of 123 freshman students that assessed enabling (technical support and access to the technology), process (the actual experience and usability), and outcome criteria (acquisition and successful use of the knowledge gained and skills learned) of the online manual. Students responded favorably to sections called "slide galleries" where ideal and non-ideal examples of projects could be viewed. Causes, solutions, and preventive measures were provided for the errors shown. Sections called "slide series" provided cookbook directions allowing for self-paced and student-directed learning. Virtually all of the students, 99 percent, found the quality of the streaming videos adequate to excellent. Regarding Internet connections and video viewing, 65 percent of students successfully viewed the videos from a remote site; cable connections were the most reliable, dial-up connections were inadequate, and DSL connections were variable. Seventy-three percent of the students felt the videos were an effective substitute for in-class demonstrations. Students preferred video with sound over video with subtitles and preferred short video clips embedded in the text over compilation videos. The results showed it is possible to develop and implement web-enhanced and interactive dental education in a preclinical restorative technique course that successfully delivered information beyond the textual format.

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

ERIC Educational Resources Information Center

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…

Successful mLearning Pilot in Senegal: Delivering Family Planning Refresher Training Using Interactive Voice Response and SMS

PubMed Central

Diedhiou, Abdoulaye; Gilroy, Kate E; Cox, Carie Muntifering; Duncan, Luke; Koumtingue, Djimadoum; Pacqué-Margolis, Sara; Fort, Alfredo; Settle, Dykki; Bailey, Rebecca

2015-01-01

Background: In-service training of health workers plays a pivotal role in improving service quality. However, it is often expensive and requires providers to leave their posts. We developed and assessed a prototype mLearning system that used interactive voice response (IVR) and text messaging on simple mobile phones to provide in-service training without interrupting health services. IVR allows trainees to respond to audio recordings using their telephone keypad. Methods: In 2013, the CapacityPlus project tested the mobile delivery of an 8-week refresher training course on management of contraceptive side effects and misconceptions to 20 public-sector nurses and midwives working in Mékhé and Tivaouane districts in the Thiès region of Senegal. The course used a spaced-education approach in which questions and detailed explanations are spaced and repeated over time. We assessed the feasibility through the system's administrative data, examined participants' experiences using an endline survey, and employed a pre- and post-test survey to assess changes in provider knowledge. Results: All participants completed the course within 9 weeks. The majority of participant prompts to interact with the mobile course were made outside normal working hours (median time, 5:16 pm); average call duration was about 13 minutes. Participants reported positive experiences: 60% liked the ability to determine the pace of the course and 55% liked the convenience. The largest criticism (35% of participants) was poor network reception, and 30% reported dropped IVR calls. Most (90%) participants thought they learned the same or more compared with a conventional course. Knowledge of contraceptive side effects increased significantly, from an average of 12.6/20 questions correct before training to 16.0/20 after, and remained significantly higher 10 months after the end of training than at baseline, at 14.8/20, without any further reinforcement. Conclusions: The mLearning system proved appropriate, feasible, and acceptable to trainees, and it was associated with sustained knowledge gains. IVR mLearning has potential to improve quality of care without disrupting routine service delivery. Monitoring and evaluation of larger-scale implementation could provide evidence of system effectiveness at scale. PMID:26085026

A random walk model to evaluate autism

NASA Astrophysics Data System (ADS)

Moura, T. R. S.; Fulco, U. L.; Albuquerque, E. L.

2018-02-01

A common test administered during neurological examination in children is the analysis of their social communication and interaction across multiple contexts, including repetitive patterns of behavior. Poor performance may be associated with neurological conditions characterized by impairments in executive function, such as the so-called pervasive developmental disorders (PDDs), a particular condition of the autism spectrum disorders (ASDs). Inspired in these diagnosis tools, mainly those related to repetitive movements and behaviors, we studied here how the diffusion regimes of two discrete-time random walkers, mimicking the lack of social interaction and restricted interests developed for children with PDDs, are affected. Our model, which is based on the so-called elephant random walk (ERW) approach, consider that one of the random walker can learn and imitate the microscopic behavior of the other with probability f (1 - f otherwise). The diffusion regimes, measured by the Hurst exponent (H), is then obtained, whose changes may indicate a different degree of autism.

Career Development and Learning Pathways of Paralympic Coaches With a Disability.

PubMed

Douglas, Scott; Falcão, William R; Bloom, Gordon A

2018-01-01

The purpose of this study was to gain an understanding of the career development and learning pathways of Paralympic head coaches who previously competed as Paralympic athletes. Each coach participated in a semistructured interview. A thematic analysis of the data revealed three higher order themes, which were called becoming a coach, learning to coach, and lifelong learning and teaching. Across these themes, participants discussed interactions with other coaches and athletes with a disability, learning from mentors and coaching clinics, as well as limited formal educational opportunities they experienced transitioning from athlete to head coach. The findings revealed that they acquired most of their knowledge from a combination of knowledge gained as athletes and informal sources, including trial and error. They also stressed the need for enhanced recruiting of parasport coaches and parasport coach education opportunities that would enhance programs for athletes with physical disabilities, from grassroots to Paralympic levels.

Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity

NASA Astrophysics Data System (ADS)

Mizusaki, Beatriz E. P.; Agnes, Everton J.; Erichsen, Rubem; Brunnet, Leonardo G.

2017-08-01

The plastic character of brain synapses is considered to be one of the foundations for the formation of memories. There are numerous kinds of such phenomenon currently described in the literature, but their role in the development of information pathways in neural networks with recurrent architectures is still not completely clear. In this paper we study the role of an activity-based process, called pre-synaptic dependent homeostatic scaling, in the organization of networks that yield precise-timed spiking patterns. It encodes spatio-temporal information in the synaptic weights as it associates a learned input with a specific response. We introduce a correlation measure to evaluate the precision of the spiking patterns and explore the effects of different inhibitory interactions and learning parameters. We find that large learning periods are important in order to improve the network learning capacity and discuss this ability in the presence of distinct inhibitory currents.

The Relationship between Acquisition Rate for Words and Working Memory, Short-Term Memory, and Reading Skills: Aptitude-by-Treatment or Skill-by-Treatment Interaction?

ERIC Educational Resources Information Center

Burns, Matthew K.; Davidson, Katherine; Zaslofsky, Anne F.; Parker, David C.; Maki, Kathrin E.

2018-01-01

The amount of information that students successfully learn and later recall from each intervention session is limited and is called the acquisition rate (AR). Research has consistently supported the effects of modifying intervention set sizes with AR data, but research with AR is in its infancy. The current study compared the relationship between…

Engaging Participation and Promoting Active Learning through Student Usage of the Internet to Create Notes for General Chemistry in Class

ERIC Educational Resources Information Center

Henry, Renee Monica

2017-01-01

Reported here is a study of an interactive component to General Chemistry I and General Chemistry II where a new pedagogy for taking notes in class was developed. These notes, called key word created class notes, prompted students to locate information using the Internet guided by a key word. Reference Web sites were added to a next generation of…

An agent-based model of dialect evolution in killer whales.

PubMed

Filatova, Olga A; Miller, Patrick J O

2015-05-21

The killer whale is one of the few animal species with vocal dialects that arise from socially learned group-specific call repertoires. We describe a new agent-based model of killer whale populations and test a set of vocal-learning rules to assess which mechanisms may lead to the formation of dialect groupings observed in the wild. We tested a null model with genetic transmission and no learning, and ten models with learning rules that differ by template source (mother or matriline), variation type (random errors or innovations) and type of call change (no divergence from kin vs. divergence from kin). The null model without vocal learning did not produce the pattern of group-specific call repertoires we observe in nature. Learning from either mother alone or the entire matriline with calls changing by random errors produced a graded distribution of the call phenotype, without the discrete call types observed in nature. Introducing occasional innovation or random error proportional to matriline variance yielded more or less discrete and stable call types. A tendency to diverge from the calls of related matrilines provided fast divergence of loose call clusters. A pattern resembling the dialect diversity observed in the wild arose only when rules were applied in combinations and similar outputs could arise from different learning rules and their combinations. Our results emphasize the lack of information on quantitative features of wild killer whale dialects and reveal a set of testable questions that can draw insights into the cultural evolution of killer whale dialects. Copyright © 2015 Elsevier Ltd. All rights reserved.

Interactive Cumulative Burden Assessment: Engaging Stakeholders in an Adaptive, Participatory and Transdisciplinary Approach

PubMed Central

Shrestha, Rehana; van Maarseveen, Martin

2018-01-01

Cumulative burden assessment (CuBA) has the potential to inform planning and decision-making on health disparities related to multiple environmental burdens. However, scholars have raised concerns about the social complexity to be dealt with while conducting CuBA, suggesting that it should be addressed in an adaptive, participatory and transdisciplinary (APT) approach. APT calls for deliberation among stakeholders by engaging them in a process of social learning and knowledge co-production. We propose an interactive stakeholder-based approach that facilitates a science-based stakeholder dialogue as an interface for combining different knowledge domains and engendering social learning in CuBA processes. Our approach allows participants to interact with each other using a flexible and auditable CuBA model implemented within a shared workspace. In two workshops we explored the usefulness and practicality of the approach. Results show that stakeholders were enabled to deliberate on cumulative burdens collaboratively, to learn about the technical uncertainties and social challenges associated with CuBA, and to co-produce knowledge in a realm of both technical and societal challenges. The paper identifies potential benefits relevant for responding to social complexity in the CuBA and further recommends exploration of how our approach can enable or constraint social learning and knowledge co-production in CuBA processes under various institutional, social and political contexts. PMID:29401676

Learning to Control Advanced Life Support Systems

NASA Technical Reports Server (NTRS)

Subramanian, Devika

2004-01-01

Advanced life support systems have many interacting processes and limited resources. Controlling and optimizing advanced life support systems presents unique challenges. In particular, advanced life support systems are nonlinear coupled dynamical systems and it is difficult for humans to take all interactions into account to design an effective control strategy. In this project. we developed several reinforcement learning controllers that actively explore the space of possible control strategies, guided by rewards from a user specified long term objective function. We evaluated these controllers using a discrete event simulation of an advanced life support system. This simulation, called BioSim, designed by Nasa scientists David Kortenkamp and Scott Bell has multiple, interacting life support modules including crew, food production, air revitalization, water recovery, solid waste incineration and power. They are implemented in a consumer/producer relationship in which certain modules produce resources that are consumed by other modules. Stores hold resources between modules. Control of this simulation is via adjusting flows of resources between modules and into/out of stores. We developed adaptive algorithms that control the flow of resources in BioSim. Our learning algorithms discovered several ingenious strategies for maximizing mission length by controlling the air and water recycling systems as well as crop planting schedules. By exploiting non-linearities in the overall system dynamics, the learned controllers easily out- performed controllers written by human experts. In sum, we accomplished three goals. We (1) developed foundations for learning models of coupled dynamical systems by active exploration of the state space, (2) developed and tested algorithms that learn to efficiently control air and water recycling processes as well as crop scheduling in Biosim, and (3) developed an understanding of the role machine learning in designing control systems for advanced life support.

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

ERIC Educational Resources Information Center

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…

The E3 ligase ube3a is required for learning in Drosophila melanogaster.

PubMed

Chakraborty, Moumita; Paul, Blesson K; Nayak, Tanmoyita; Das, Aniruddha; Jana, Nihar R; Bhutani, Supriya

2015-06-19

Angelman syndrome and autism are neurodevelopmental disorders linked to mutations and duplications of an E3 ligase called ube3a respectively. Since cognitive deficits and learning disabilities are hallmark symptoms of both these disorders, we investigated a role for dube3a in the learning ability of flies using the aversive phototaxis suppression assay. We show that down and up-regulation of dube3a are both detrimental to learning in larvae and adults. Using conditional gene expression we found that dube3a is required for normal brain development and during adulthood. Furthermore, we suggest that dube3a could be interacting with other learning and memory genes such as derailed. Along with firmly establishing dube3a as a gene that is required for learning, our work also opens avenues for further understanding the role played by this gene in brain development and behavior. Copyright © 2015 Elsevier Inc. All rights reserved.

Excellence in Physics Education Award: SCALE-UP, Student Centered Active Learning Environment with Upside-down Pedagogies

NASA Astrophysics Data System (ADS)

Beichner, Robert

2016-03-01

The Student-Centered Active Learning Environment with Upside-down Pedagogies (SCALE-UP) Project combines curricula and a specially-designed instructional space to enhance learning. SCALE-UP students practice communication and teamwork skills while performing activities that enhance their conceptual understanding and problem solving skills. This can be done with small or large classes and has been implemented at more than 250 institutions. Educational research indicates that students should collaborate on interesting tasks and be deeply involved with the material they are studying. SCALE-UP classtime is spent primarily on ``tangibles'' and ``ponderables''--hands-on measurements/observations and interesting questions. There are also computer simulations (called ``visibles'') and hypothesis-driven labs. Students sit at tables designed to facilitate group interactions. Instructors circulate and engage in Socratic dialogues. The setting looks like a banquet hall, with lively interactions nearly all the time. Impressive learning gains have been measured at institutions across the US and internationally. This talk describes today's students, how lecturing got started, what happens in a SCALE-UP classroom, and how the approach has spread. The SCALE-UP project has greatly benefitted from numerous Grants made by NSF and FIPSE to NCSU and other institutions.

Developing CALL to Meet the Needs of Language Teaching and Learning

ERIC Educational Resources Information Center

Jiang, Zhaofeng

2008-01-01

This paper illustrates the advantages and disadvantages of CALL. It points out that CALL is influenced by traditional language teaching and learning approaches to some extent. It concludes that what is important in our university system is that CALL design and implementation should match the users' needs, since CALL is not always better than…

Linking CALL and SLA: Using the IRIS Database to Locate Research Instruments

ERIC Educational Resources Information Center

Handley, Zöe; Marsden, Emma

2014-01-01

To establish an evidence base for future computer-assisted language learning (CALL) design, CALL research needs to move away from CALL versus non-CALL comparisons, and focus on investigating the differential impact of individual coding elements, that is, specific features of a technology which might have an impact on learning (Pederson, 1987).…

Measurement of Usability for Multimedia Interactive Learning Based on Website in Mathematics for SMK

NASA Astrophysics Data System (ADS)

Sukardjo, Moch.; Sugiyanta, Lipur

2018-04-01

Web usability, if evaluation done correctly, can significantly improve the quality of the website. Website containing multimedia for education shoud apply user interfaces that are both easy to learn and easy to use. Multimedia has big role in changing the mindset of a person in learning. Using multimedia, learners get easy to obtain information, adjust information and empower information. Therefore, multimedia is utilized by teachers in developing learning techniques to improve student learning outcomes. For students with self-directed learning, multimedia provides the ease and completeness of the courses in such a way that students can complete the learning independently both at school and at home without the guidance of teachers. The learning independence takes place in how students choose, absorb information, and follow the evaluation quickly and efficiently. The 2013 Curriculum 2013 for Vocational High School (SMK) requires teachers to create engaging teaching and learning activities that students enjoy in the classroom (also called invitation learning environment). The creation of learning activity environment is still problem for most teachers. Various researches reveal that teaching and learning activities will be more effective and easy when assisted by visual tools. Using multimedia, learning material can be presented more attractively that help students understand the material easily. The opposite is found in the learning activity environment who only rely on ordinary lectures. Usability is a quality level of multimedia with easy to learn, easy to use and encourages users to use it. The website Multimedia Interactive Learning for Mathematics SMK Class X is targeted object. Usability website in Multimedia Interactive Learning for Mathematics SMK Class X is important indicators to measure effectiveness, efficiency, and student satisfaction to access the functionality of website. This usability measurement should be done carefully before the design is implemented thoroughly. The only way to get test with high quality results is to start testing at the beginning of the design process and continuously testing each of the next steps. This research performs usability testing on of website by using WAMMI criterion (Website Analysis and Measurement Inventory) and will be focused on how convenience using the website application. Components of Attractiveness, Controllability, Efficiency, Helpfulness, and Learnability are applied. The website in Multimedia Interactive Learning for Mathematics SMK Class X can be in accordance with the purpose to be accepted by student to improve student learning outcomes. The results show that WAMMI method show the usability value of Multimedia Mathematics SMK Class X is about from 70% to 90%.

Interactive Explanations: The Functional Role of Gestural and Bodily Action for Explaining and Learning Scientific Concepts in Face-to-Face Arrangements

NASA Astrophysics Data System (ADS)

Scopelitis, Stephanie A.

As human beings, we live in, live with, and live through our bodies. And because of this it is no wonder that our hands and bodies are in motion as we interact with others in our world. Hands and body move as we give directions to another, anticipate which way to turn the screwdriver, and direct our friend to come sit next to us. Gestures, indeed, fill our everyday lives. The purpose of this study is to investigate the functional role of the body in the parts of our lives where we teach and learn with another. This project is an investigation into, what I call, "interactive explanations". I explore how the hands and body work toward the joint achievement of explanation and learning in face-to-face arrangements. The study aims to uncover how the body participates in teaching and learning in and across events as it slides between the multiple, interdependent roles of (1) a communicative entity, (2) a tool for thinking, and (3) a resource to shape interaction. Understanding gestures functional roles as flexible and diverse better explains how the body participates in teaching and learning interactions. The study further aims to show that these roles and functions are dynamic and changeable based on the interests, goals and contingencies of participants' changing roles and aims in interactions, and within and across events. I employed the methodology of comparative microanalysis of pairs of videotaped conversations in which, first, experts in STEM fields (Science, Technology, Engineering and Mathematics) explained concepts to non-experts, and second, these non-experts re-explained the concept to other non-experts. The principle finding is that people strategically, creatively and collaboratively employ the hands and body as vital and flexible resources for the joint achievement of explanation and understanding. Findings further show that gestures used to explain complex STEM concepts travel across time with the non-expert into re-explanations of the concept. My analysis demonstrates that gestures and the body are complex, multi-functional resources that work toward cognitive, communicative, and interactional achievement and, as such, are viable resources for teaching and learning in face-to-face interaction.

Cultural patterns in children's learning through keen observation and participation in their communities.

PubMed

Correa-Chávez, Maricela; Roberts, Amy L D; Pérez, Margarita Martínez

2011-01-01

This chapter examines children's learning through careful attention and participation in the ongoing activities of their community. This form of learning, which has been called learning through Intent Community Participation, seems to be especially common in Mesoamerican Indigenous communities. In these communities, children are integrated into the everyday work and lives of adults and their learning may not be the central focus. We contrast this pattern with that of middle-class European American communities where children are segregated from the primary adult functions of the community. In middle-class communities and schools, children are often encouraged to engage in abstract lessons where their attention is explicitly directed to specific events. In contrast, learning through keen attention and observation may rely on learning through attention to instructions not specifically directed to the learner. Studies demonstrate Mesoamerican Indigenous children's ability to learn through simultaneous and open attention to overheard or observed activities. This form of learning is supported through multiple modalities of communication and interaction. Motivation to learn stems from the learner's inclusion into the major activities and goals of the community. Implications of research and future directions for the study of learning through keen observation are discussed.

Negotiating energy dynamics through embodied action in a materially structured environment

NASA Astrophysics Data System (ADS)

Scherr, Rachel E.; Close, Hunter G.; Close, Eleanor W.; Flood, Virginia J.; McKagan, Sarah B.; Robertson, Amy D.; Seeley, Lane; Wittmann, Michael C.; Vokos, Stamatis

2013-12-01

We provide evidence that a learning activity called Energy Theater engages learners with key conceptual issues in the learning of energy, including disambiguating matter flow and energy flow and theorizing mechanisms for energy transformation. A participationist theory of learning, in which learning is indicated by changes in speech and behavior, supports ethnographic analysis of learners’ embodied interactions with each other and the material setting. We conduct detailed analysis to build plausible causal links between specific features of Energy Theater and the conceptual engagement that we observe. Disambiguation of matter and energy appears to be promoted especially by the material structure of the Energy Theater environment, in which energy is represented by participants, while objects are represented by areas demarcated by loops of rope. Theorizing mechanisms of energy transformation is promoted especially by Energy Theater’s embodied action, which necessitates modeling the time ordering of energy transformations.

Products and processes of agri-scientific service-learning: adding harmony to Dopico and Garcia-Vázquez

NASA Astrophysics Data System (ADS)

Boggs, George L.

2011-06-01

This forum response adds a conceptualization of harmony to Dopico and Vázquez' investigation of pedagogy that combines citizen science, environmental and cross-cultural research, and service-learning. Placing many appropriate and significant aspects of culturally situated science education in an authentically relational context beyond the classroom, this paper calls attention to insightful contributions and new directions for research, such as the process of inducing or eluding nihilism regarding ecological issues. How can such a question be researched effectively in order to learn about the family of pedagogies emerging in response to the need for more ecologically conscious and relationally authentic teaching across many disciplines? In this paper, I use a Vygotskian framework and an abbreviated case study of agricultural service-learning from my research, drawing attention to the importance of students' culturally-mediated construction of setting as they interact in older and newer ways.

Serotonin blockade delays learning performance in a cooperative fish.

PubMed

Soares, Marta C; Paula, José R; Bshary, Redouan

2016-09-01

Animals use learning and memorizing to gather information that will help them to make ecologically relevant decisions. Neuro-modulatory adjustments enable them to make associations between stimuli and appropriate behavior. A key candidate for the modulation of cooperative behavior is serotonin. Previous research has shown that modulation of the serotonergic system spontaneously affects the behavior of the cleaner wrasse Labroides dimidiatus during interactions with so-called 'client' reef fish. Here, we asked whether shifts in serotonin function affect the cleaners' associative learning abilities when faced with the task to distinguish two artificial clients that differ in their value as a food source. We found that the administration of serotonin 1A receptor antagonist significantly slowed learning speed in comparison with saline treated fish. As reduced serotonergic signaling typically enhances fear, we discuss the possibility that serotonin may affect how cleaners appraise, acquire information and respond to client-derived stimuli via manipulation of the perception of danger.

No evidence for visual context-dependency of olfactory learning in Drosophila

NASA Astrophysics Data System (ADS)

Yarali, Ayse; Mayerle, Moritz; Nawroth, Christian; Gerber, Bertram

2008-08-01

How is behaviour organised across sensory modalities? Specifically, we ask concerning the fruit fly Drosophila melanogaster how visual context affects olfactory learning and recall and whether information about visual context is getting integrated into olfactory memory. We find that changing visual context between training and test does not deteriorate olfactory memory scores, suggesting that these olfactory memories can drive behaviour despite a mismatch of visual context between training and test. Rather, both the establishment and the recall of olfactory memory are generally facilitated by light. In a follow-up experiment, we find no evidence for learning about combinations of odours and visual context as predictors for reinforcement even after explicit training in a so-called biconditional discrimination task. Thus, a ‘true’ interaction between visual and olfactory modalities is not evident; instead, light seems to influence olfactory learning and recall unspecifically, for example by altering motor activity, alertness or olfactory acuity.

What's the fuss about? Parent presentations of fussy eating to a parenting support helpline.

PubMed

Harris, Holly A; Ria-Searle, Bonnie; Jansen, Elena; Thorpe, Karen

2018-06-01

To characterise parent presentations of fussy eating and mealtime interactions at a point of crisis, through analyses of real-time recordings of calls to a parenting helpline. Qualitative analysis included an inductive thematic approach to examine clinical parent presentations of fussy eating and derive underlying themes relating to mealtime interactions. Calls made to the Child Health Line regarding feeding concerns were recorded and transcribed verbatim. From a corpus of 723 calls made during a 4-week period in 2009, twelve were from parents of children aged 6-48 months. Parents of infants (≤12 months, n 6) presented feeding concerns as learning challenges in the process of transitioning from a milk-based to a solid-based diet, while parents of toddlers (13-48 months, n 6) presented emotional accounts of feeding as an intractable problem. Parents presented their child's eating behaviour as a battle (conflict), in which their children's agency over limited intake and variety of foods (child control) was constructed as 'bad' or 'wrong'. Escalating parent anxiety (parent concern) had evoked parent non-responsive feeding practices or provision of foods the child preferred. Real-time descriptions of young children's fussy eating at a time of crisis that initiated parents' call for help have captured the highly charged emotional underpinnings of mealtime interactions associated with fussy eating. Importantly, they show the child's emerging assertion of food autonomy can escalate parents' emotional distress that, in the short term, initiates non-responsive feeding practices. The current study identifies the importance of educational and emotional support for parents across the period of introducing solids.

Neurochemical Correlates of Accumbal Dopamine D2 and Amygdaloid 5-HT1B Receptor Densities on Observational Learning of Aggression

PubMed Central

Suzuki, Hideo; Lucas, Louis R.

2015-01-01

Social learning theory postulates that individuals learn to engage in aggressive behavior through observing an aggressive social model. Prior studies have shown that repeatedly observing aggression, also called “chronic passive exposure to aggression,” changes accumbal dopamine D2 receptor (D2R) and amygdaloid 5-HT1B receptor (5-HT1BR) densities in observers. But, the association between these outcomes remains unknown. Thus, our study used a rat paradigm to comprehensively examine the linkage between aggression, D2R density in the nucleus accumbens core (AcbC) and shell (AcbSh), and 5-HT1BR density in the medial (MeA), basomedial (BMA), and basolateral (BLA) amygdala following chronic passive exposure to aggression. Male Sprague-Dawley rats (N = 72) were passively exposed to either aggression or non-aggression acutely (1 day) or chronically (23 days). When observer rats were exposed to aggression chronically, they showed increased aggressive behavior and reduced D2R density in the bilateral AcbSh. On the other hand, exposure to aggression, regardless of exposure length, increased 5-HT1BR density in the bilateral BLA. Finally, low D2R in the AcbSh significantly interacted with high 5-HT1BR density in the BLA in predicting high levels of aggression in observer rats. Our results advance our understanding of the neurobiological mechanisms for observational learning of aggression, highlighting that dopamine-serotonin interaction, or AcbSh-BLA interaction, may contribute to a risk factor for aggression in observers who chronically witness aggressive interactions. PMID:25650085

Significance of the Feuerstein approach in neurocognitive rehabilitation.

PubMed

Lebeer, Jo

2016-06-18

The theory of Structural Cognitive Modifiability and Mediated Learning Experience of Reuven Feuerstein states that individuals with brain impairment, because of congenital or acquired origin, may substantially and structurally improve their cognitive functioning, by a systematic intervention based on a specific, criteria-based type of interaction ("mediated learning"). Three application systems are based on it: a dynamic-interactive assessment of learning capacity and processes of learning, the LPAD (Learning Propensity Assessment Device); a cognitive intervention program called "Instrumental Enrichment Program", which trains cognitive, metacognitive and executive functions; and a program, which is oriented at working in context, Shaping Modifying Environments. These programs have been applied in widely different target groups: from children and young adults with learning and developmental disabilities, at risk of school failure, or having failed at school, because of socio-economic disadvantage or congenital neurological impairment; disadvantaged youngsters and adults in vocational training, to elderly people at the beginning of a dementia process. Experience with cognitive rehabilitation of children and adults with acquired brain damage, has been relatively recent, first in the Feuerstein Institute's Brain Injury Unit in Jerusalem, later in other centers in different parts of the world; therefore scientific data are scarce. The purpose of this paper is to examine how the Feuerstein-approach fits into the goals and proposed approaches of cognitive rehabilitation, and to explore its relevance for assessment and intervention in individuals with congenital or acquired brain damage. The methodology of the Feuerstein approach consists of four pillars: dynamic assessment, cognitive activation, mediated learning and shaping a modifying environment. The criteria of mediated learning experience are explained with specific reference to people with acquired brain injury. The procedure of learning propensity assessment device uses visuo-spatial and verbal tasks known from neuropsychological assessment (such as Rey's complex figure drawing), as well as a in a pre-test - brief intervention - post-test format. Cognitive activation is done in various ways: a paper-and-pencil relatively content-free program called "instrumental enrichment", with transfer of learned principles into daily life situations, followed by metacognitive feedback. Four case histories of acquired brain damage are analyzed: a 19 year old man with extensive post-astrocytoma frontotemporal brain lesions; a 19 year old man with bilateral frontal and right temporal and parieto-occipital parenchymatous destruction after a traumatic brain injury; a 24 year old man with hemispherectomy for intractable epilepsy because of Sturge-Weber syndrome; and a 30-year old man with left porencephalic cyst after cerebral hemorrhage. Structural cognitive improvement could be demonstrated in positive change scores in visuo-spatial memory, associative and verbal memory, abstract thinking, and organizing tasks, even more than 10 years post-TBI. In some cases a rise in IQ has been documented. Improvement in daily life functioning and academic skills (re)learning has also been seen. Though impossible to claim scientific evidence, the case histories nevertheless suggest the importance of interactive assessment in designing intervention programs which have sufficient intensity, frequency, duration and consistency of mediation; furthermore, an essential ingredient is the ecological approach which requires working with the patient and the whole network around; a firm "belief system" or that modifiability is possible even with severe brain damage and many years after the injury; a cognitive, metacognitive and executive approach, and a quality of interaction according to criteria of mediated learning. They suggest that Feuerstein approach may offer interesting perspectives to cognitive rehabilitation. More extensive research is needed to provide a broader scientific evidence base.

How and what do medical students learn in clerkships? Experience based learning (ExBL).

PubMed

Dornan, Tim; Tan, Naomi; Boshuizen, Henny; Gick, Rachel; Isba, Rachel; Mann, Karen; Scherpbier, Albert; Spencer, John; Timmins, Elizabeth

2014-12-01

Clerkship education has been called a 'black box' because so little is known about what, how, and under which conditions students learn. Our aim was to develop a blueprint for education in ambulatory and inpatient settings, and in single encounters, traditional rotations, or longitudinal experiences. We identified 548 causal links between conditions, processes, and outcomes of clerkship education in 168 empirical papers published over 7 years and synthesised a theory of how students learn. They do so when they are given affective, pedagogic, and organisational support. Affective support comes from doctors' and many other health workers' interactions with students. Pedagogic support comes from informal interactions and modelling as well as doctors' teaching, supervision, and precepting. Organisational support comes from every tier of a curriculum. Core learning processes of observing, rehearsing, and contributing to authentic clinical activities take place within triadic relationships between students, patients, and practitioners. The phrase 'supported participation in practice' best describes the educational process. Much of the learning that results is too tacit, complex, contextualised, and individual to be defined as a set of competencies. We conclude that clerkship education takes place within relationships between students, patients, and doctors, supported by informal, individual, contextualised, and affective elements of the learned curriculum, alongside formal, standardised elements of the taught and assessed curriculum. This research provides a blueprint for designing and evaluating clerkship curricula as well as helping patients, students, and practitioners collaborate in educating tomorrow's doctors.

Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin.

PubMed

Ezaki, Takahiro; Horita, Yutaka; Takezawa, Masanori; Masuda, Naoki

2016-07-01

Direct reciprocity, or repeated interaction, is a main mechanism to sustain cooperation under social dilemmas involving two individuals. For larger groups and networks, which are probably more relevant to understanding and engineering our society, experiments employing repeated multiplayer social dilemma games have suggested that humans often show conditional cooperation behavior and its moody variant. Mechanisms underlying these behaviors largely remain unclear. Here we provide a proximate account for this behavior by showing that individuals adopting a type of reinforcement learning, called aspiration learning, phenomenologically behave as conditional cooperator. By definition, individuals are satisfied if and only if the obtained payoff is larger than a fixed aspiration level. They reinforce actions that have resulted in satisfactory outcomes and anti-reinforce those yielding unsatisfactory outcomes. The results obtained in the present study are general in that they explain extant experimental results obtained for both so-called moody and non-moody conditional cooperation, prisoner's dilemma and public goods games, and well-mixed groups and networks. Different from the previous theory, individuals are assumed to have no access to information about what other individuals are doing such that they cannot explicitly use conditional cooperation rules. In this sense, myopic aspiration learning in which the unconditional propensity of cooperation is modulated in every discrete time step explains conditional behavior of humans. Aspiration learners showing (moody) conditional cooperation obeyed a noisy GRIM-like strategy. This is different from the Pavlov, a reinforcement learning strategy promoting mutual cooperation in two-player situations.

Empowering Prospective Teachers to Become Active Sense-Makers: Multimodal Modeling of the Seasons

NASA Astrophysics Data System (ADS)

Kim, Mi Song

2015-10-01

Situating science concepts in concrete and authentic contexts, using information and communications technologies, including multimodal modeling tools, is important for promoting the development of higher-order thinking skills in learners. However, teachers often struggle to integrate emergent multimodal models into a technology-rich informal learning environment. Our design-based research co-designs and develops engaging, immersive, and interactive informal learning activities called "Embodied Modeling-Mediated Activities" (EMMA) to support not only Singaporean learners' deep learning of astronomy but also the capacity of teachers. As part of the research on EMMA, this case study describes two prospective teachers' co-design processes involving multimodal models for teaching and learning the concept of the seasons in a technology-rich informal learning setting. Our study uncovers four prominent themes emerging from our data concerning the contextualized nature of learning and teaching involving multimodal models in informal learning contexts: (1) promoting communication and emerging questions, (2) offering affordances through limitations, (3) explaining one concept involving multiple concepts, and (4) integrating teaching and learning experiences. This study has an implication for the development of a pedagogical framework for teaching and learning in technology-enhanced learning environments—that is empowering teachers to become active sense-makers using multimodal models.

Machine learning of molecular properties: Locality and active learning

NASA Astrophysics Data System (ADS)

Gubaev, Konstantin; Podryabinkin, Evgeny V.; Shapeev, Alexander V.

2018-06-01

In recent years, the machine learning techniques have shown great potent1ial in various problems from a multitude of disciplines, including materials design and drug discovery. The high computational speed on the one hand and the accuracy comparable to that of density functional theory on another hand make machine learning algorithms efficient for high-throughput screening through chemical and configurational space. However, the machine learning algorithms available in the literature require large training datasets to reach the chemical accuracy and also show large errors for the so-called outliers—the out-of-sample molecules, not well-represented in the training set. In the present paper, we propose a new machine learning algorithm for predicting molecular properties that addresses these two issues: it is based on a local model of interatomic interactions providing high accuracy when trained on relatively small training sets and an active learning algorithm of optimally choosing the training set that significantly reduces the errors for the outliers. We compare our model to the other state-of-the-art algorithms from the literature on the widely used benchmark tests.

How learning one category influences the learning of another: intercategory generalization based on analogy and specific stimulus information.

PubMed

Nahinsky, Irwin D; Lucas, Barbara A; Edgell, Stephen E; Overfelt, Joseph; Loeb, Richard

2004-01-01

We investigated the effect of learning one category structure on the learning of a related category structure. Photograph-name combinations, called identifiers, were associated with values of four demographic attributes. Two problems were related by analogous demographic attributes, common identifiers, or both to examine the impact of common identifier, related general characteristics, and the interaction of the two variables in mediating learning transfer from one category structure to another. Problems sharing the same identifier information prompted greater positive transfer than those not sharing the same identifier information. In contrast, analogous defining characteristics in the two problems did not facilitate transfer. We computed correlations between responses to first-problem stimuli and responses to analogous second-problem stimuli for each participant. The analogous characteristics produced a tendency to respond in the same way to corresponding stimuli in the two problems. The results support an alignment between category structures related by analogous defining characteristics, which is facilitated by specific identifier information shared by two category structures.

Effectively identifying compound-protein interactions by learning from positive and unlabeled examples.

PubMed

Cheng, Zhanzhan; Zhou, Shuigeng; Wang, Yang; Liu, Hui; Guan, Jihong; Chen, Yi-Ping Phoebe

2016-05-18

Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine learning based methods have been developed to predict new CPIs in the literature. However, as there is not yet any publicly available set of validated negative CPIs, most existing machine learning based approaches use the unknown interactions (not validated CPIs) selected randomly as the negative examples to train classifiers for predicting new CPIs. Obviously, this is not quite reasonable and unavoidably impacts the CPI prediction performance. In this paper, we simply take the unknown CPIs as unlabeled examples, and propose a new method called PUCPI (the abbreviation of PU learning for Compound-Protein Interaction identification) that employs biased-SVM (Support Vector Machine) to predict CPIs using only positive and unlabeled examples. PU learning is a class of learning methods that leans from positive and unlabeled (PU) samples. To the best of our knowledge, this is the first work that identifies CPIs using only positive and unlabeled examples. We first collect known CPIs as positive examples and then randomly select compound-protein pairs not in the positive set as unlabeled examples. For each CPI/compound-protein pair, we extract protein domains as protein features and compound substructures as chemical features, then take the tensor product of the corresponding compound features and protein features as the feature vector of the CPI/compound-protein pair. After that, biased-SVM is employed to train classifiers on different datasets of CPIs and compound-protein pairs. Experiments over various datasets show that our method outperforms six typical classifiers, including random forest, L1- and L2-regularized logistic regression, naive Bayes, SVM and k-nearest neighbor (kNN), and three types of existing CPI prediction models. Source code, datasets and related documents of PUCPI are available at: http://admis.fudan.edu.cn/projects/pucpi.html.

Synergetic motor control paradigm for optimizing energy efficiency of multijoint reaching via tacit learning

PubMed Central

Hayashibe, Mitsuhiro; Shimoda, Shingo

2014-01-01

A human motor system can improve its behavior toward optimal movement. The skeletal system has more degrees of freedom than the task dimensions, which incurs an ill-posed problem. The multijoint system involves complex interaction torques between joints. To produce optimal motion in terms of energy consumption, the so-called cost function based optimization has been commonly used in previous works.Even if it is a fact that an optimal motor pattern is employed phenomenologically, there is no evidence that shows the existence of a physiological process that is similar to such a mathematical optimization in our central nervous system.In this study, we aim to find a more primitive computational mechanism with a modular configuration to realize adaptability and optimality without prior knowledge of system dynamics.We propose a novel motor control paradigm based on tacit learning with task space feedback. The motor command accumulation during repetitive environmental interactions, play a major role in the learning process. It is applied to a vertical cyclic reaching which involves complex interaction torques.We evaluated whether the proposed paradigm can learn how to optimize solutions with a 3-joint, planar biomechanical model. The results demonstrate that the proposed method was valid for acquiring motor synergy and resulted in energy efficient solutions for different load conditions. The case in feedback control is largely affected by the interaction torques. In contrast, the trajectory is corrected over time with tacit learning toward optimal solutions.Energy efficient solutions were obtained by the emergence of motor synergy. During learning, the contribution from feedforward controller is augmented and the one from the feedback controller is significantly minimized down to 12% for no load at hand, 16% for a 0.5 kg load condition.The proposed paradigm could provide an optimization process in redundant system with dynamic-model-free and cost-function-free approach. PMID:24616695

Synergetic motor control paradigm for optimizing energy efficiency of multijoint reaching via tacit learning.

PubMed

Hayashibe, Mitsuhiro; Shimoda, Shingo

2014-01-01

A human motor system can improve its behavior toward optimal movement. The skeletal system has more degrees of freedom than the task dimensions, which incurs an ill-posed problem. The multijoint system involves complex interaction torques between joints. To produce optimal motion in terms of energy consumption, the so-called cost function based optimization has been commonly used in previous works.Even if it is a fact that an optimal motor pattern is employed phenomenologically, there is no evidence that shows the existence of a physiological process that is similar to such a mathematical optimization in our central nervous system.In this study, we aim to find a more primitive computational mechanism with a modular configuration to realize adaptability and optimality without prior knowledge of system dynamics.We propose a novel motor control paradigm based on tacit learning with task space feedback. The motor command accumulation during repetitive environmental interactions, play a major role in the learning process. It is applied to a vertical cyclic reaching which involves complex interaction torques.We evaluated whether the proposed paradigm can learn how to optimize solutions with a 3-joint, planar biomechanical model. The results demonstrate that the proposed method was valid for acquiring motor synergy and resulted in energy efficient solutions for different load conditions. The case in feedback control is largely affected by the interaction torques. In contrast, the trajectory is corrected over time with tacit learning toward optimal solutions.Energy efficient solutions were obtained by the emergence of motor synergy. During learning, the contribution from feedforward controller is augmented and the one from the feedback controller is significantly minimized down to 12% for no load at hand, 16% for a 0.5 kg load condition.The proposed paradigm could provide an optimization process in redundant system with dynamic-model-free and cost-function-free approach.

Satellite Applications for K-12 Geoscience Education

NASA Astrophysics Data System (ADS)

Mooney, M.; Ackerman, S.; Lettvin, E.; Emerson, N.; Whittaker, T. M.

2007-12-01

This presentation will highlight interactive on-line curriculum developed at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin in Madison. CIMSS has been on the forefront of educational software design for over two decades, routinely integrating on-line activities into courses on satellite remote sensing. In 2006, CIMSS began collaborating with education experts and researchers from the University of Washington to create an NSF-funded distance learning course for science teachers called Satellite Applications for Geoscience Education. This course includes numerous web-based learning activities, including a distance education tool called VISITview which allows instructors to connect with multiple students simultaneously to conduct a lesson. Developed at CIMSS to facilitate training of National Weather Service forecasters economically and remotely, VISITview is especially effective for groups of people discussing and analyzing maps or images interactively from many locations. Along with an on-line chat function, VISITview participants can use a speaker phone or a networked voice-enabled application to create a learning environment similar to a traditional classroom. VISITview will be used in two capacities: first, instructors will convey topics of current relevance in geoscience disciplines via VISITview. Second, the content experts will participate in "virtual visits" to the classrooms of the educators who take the course for full credit. This will enable scientists to interact with both teachers and students to answer questions and discuss exciting or inspiring examples that link satellite data to their areas of research. As long as a school has Internet access, an LCD projector and a speakerphone, VISITview sessions can be shared with an entire classroom. The geoscientists who developed material for the course and conducting VISITview lectures include a geologist from the University of Wisconsin-Richland, an oceanographer from the Applied Physics Laboratory at the University of Washington, and satellite meteorology experts from CIMSS at UW-Madison. This AGU presentation will report on the progress of the debut semester of the geoscience course and corresponding VISITview sessions.

Enhancing the Design and Analysis of Flipped Learning Strategies

ERIC Educational Resources Information Center

Jenkins, Martin; Bokosmaty, Rena; Brown, Melanie; Browne, Chris; Gao, Qi; Hanson, Julie; Kupatadze, Ketevan

2017-01-01

There are numerous calls in the literature for research into the flipped learning approach to match the flood of popular media articles praising its impact on student learning and educational outcomes. This paper addresses those calls by proposing pedagogical strategies that promote active learning in "flipped" approaches and improved…

The human dynamic clamp as a paradigm for social interaction.

PubMed

Dumas, Guillaume; de Guzman, Gonzalo C; Tognoli, Emmanuelle; Kelso, J A Scott

2014-09-02

Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject's own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual "teacher." We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.

Wireless just-in-time training of mobile skilled support personnel

NASA Astrophysics Data System (ADS)

Bandera, Cesar; Marsico, Michael; Rosen, Mitchel; Schlegel, Barry

2006-05-01

Skilled Support Personnel (SSP) serve emergency response organizations during an emergency incident, and include laborers, operating engineers, carpenters, ironworkers, sanitation workers and utility workers. SSP called to an emergency incident rarely have recent detailed training on the chemical, biological, radiological, nuclear and/or explosives (CBRNE) agents or the personal protection equipment (PPE) relevant to the incident. This increases personal risk to the SSP and mission risk at the incident site. Training for SSP has been identified as a critical need by the National Institute for Environmental Health Sciences, Worker Education and Training Program. We present a system being developed to address this SSP training shortfall by exploiting a new training paradigm called just-in-time training (JITT) made possible by advances in distance learning and cellular telephony. In addition to the current conventional training at regularly scheduled instructional events, SSP called to an emergency incident will have secure access to short (<5 minutes) training modules specific to the incident and derived from the Occupational Safety and Health Administration (OSHA) Disaster Site Worker Course. To increase retention, each learning module incorporates audio, video, interactive simulations, graphics, animation, and assessment designed for the user interface of most current cell phones. Engineering challenges include compatibility with current cell phone technologies and wireless service providers, integration with the incident management system, and SCORM compliance.

Space Mysteries: Making Science and Astronomy Learning Fun

NASA Astrophysics Data System (ADS)

Plait, P.; Tim, G.; Cominsky, L.

2001-12-01

How do you get and keep a student's attention during class? Make learning fun! Using a game to teach students ensures that they have fun, enjoy the lesson and remember it. We have developed a series of interactive web and CD based games called "Space Mysteries" to teach students math, physics and astronomy. Using real NASA data, the students must find out Who (or What) dunit in an engaging astronomy mystery. The games include video interviews with famous scientists, actors playing roles who give clues to the solution, and even a few blind alleys and red herrings. The first three games are currently online in beta release at http://mystery.sonoma.edu.

Learning to design rehabilitation devices through the H-CARD course: project-based learning of rehabilitation technology design.

PubMed

Roach, Nick; Hussain, Asif; Burdet, Etienne

2012-01-01

The aging population and the wish to improve quality of life, as well as the economic pressure to work longer, call for intuitive and efficient assistive and rehabilitation technologies. Therefore, we have developed a project based education paradigm in the design of assistive and rehabilitation devices. Using a miniature wireless sensing and feedback platform, the multimodal interactive motor assessment and training environment (MIMATE), students from different engineering backgrounds were able to develop innovative devices implementing rehabilitative games in the short span of a one-term course. We describe here this novel H-CARD course on the human-centered design of assistive and rehabilitative devices.

A CALL-Based Lesson Plan for Teaching Reading Comprehension to Iranian Intermediate EFL Learners

ERIC Educational Resources Information Center

Khoshsima, Hooshang; Khosravani, Mahboobeh

2014-01-01

The main purpose of this descriptive research is to provide a CALL (Computer-Assisted Language Learning)-based lesson plan for teaching reading comprehension to Iranian intermediate EFL learners. CALL is a new way of learning and teaching language. It is proved that CALL mainly has positive effects on educational contexts. Although teachers…

Lessons learned by (from?) an economist working in medical decision making.

PubMed

Wakker, Peter P

2008-01-01

This article is a personal account of the author's experiences as an economist working in medical decision making. He discusses the differences between economic decision theory and medical decision making and gives examples of the mutual benefits resulting from interactions. In particular, he discusses the pros and cons of different methods for measuring quality of life (or, as economists would call it, utility), including the standard gamble, the time tradeoff, and the healthy-years equivalent methods.

An intelligent robotic aid system for human services

NASA Technical Reports Server (NTRS)

Kawamura, K.; Bagchi, S.; Iskarous, M.; Pack, R. T.; Saad, A.

1994-01-01

The long term goal of our research at the Intelligent Robotic Laboratory at Vanderbilt University is to develop advanced intelligent robotic aid systems for human services. As a first step toward our goal, the current thrusts of our R&D are centered on the development of an intelligent robotic aid called the ISAC (Intelligent Soft Arm Control). In this paper, we describe the overall system architecture and current activities in intelligent control, adaptive/interactive control and task learning.

Implications of Modeling Uncertainty for Water Quality Decision Making

NASA Astrophysics Data System (ADS)

Shabman, L.

2002-05-01

The report, National Academy of Sciences report, "Assessing the TMDL Approach to Water Quality Management" endorsed the "watershed" and "ambient water quality focused" approach" to water quality management called for in the TMDL program. The committee felt that available data and models were adequate to move such a program forward, if the EPA and all stakeholders better understood the nature of the scientific enterprise and its application to the TMDL program. Specifically, the report called for a greater acknowledgement of model prediction uncertinaity in making and implementing TMDL plans. To assure that such uncertinaity was addressed in water quality decision making the committee called for a commitment to "adaptive implementation" of water quality management plans. The committee found that the number and complexity of the interactions of multiple stressors, combined with model prediction uncertinaity means that we need to avoid the temptation to make assurances that specific actions will result in attainment of particular water quality standards. Until the work on solving a water quality problem begins, analysts and decision makers cannot be sure what the correct solutions are, or even what water quality goals a community should be seeking. In complex systems we need to act in order to learn; adaptive implementation is a concurrent process of action and learning. Learning requires (1) continued monitoring of the waterbody to determine how it responds to the actions taken and (2) carefully designed experiments in the watershed. If we do not design learning into what we attempt we are not doing adaptive implementation. Therefore, there needs to be an increased commitment to monitoring and experiments in watersheds that will lead to learning. This presentation will 1) explain the logic for adaptive implementation; 2) discuss the ways that water quality modelers could characterize and explain model uncertinaity to decision makers; 3) speculate on the implications of the adaptive implementation for setting of water quality standards, for design of watershed monitoring programs and for the regulatory rules governing the TMDL program implementation.

Implementation of a Learning Design Run-Time Environment for the .LRN Learning Management System

ERIC Educational Resources Information Center

del Cid, Jose Pablo Escobedo; de la Fuente Valentin, Luis; Gutierrez, Sergio; Pardo, Abelardo; Kloos, Carlos Delgado

2007-01-01

The IMS Learning Design specification aims at capturing the complete learning flow of courses, without being restricted to a particular pedagogical model. Such flow description for a course, called a Unit of Learning, must be able to be reproduced in different systems using a so called run-time environment. In the last few years there has been…

Ten simple rules for drawing scientific comics

DOE Office of Scientific and Technical Information (OSTI.GOV)

McDermott, Jason E.; Partridge, Matthew; Bromberg, Yana

Institutions around the world are fighting to improve science communication all the time. From calls for journal papers to be simplified to encouraging scientists to take more of an active role through community engagement, there is an impetus to demystify and improve public understanding and engagement with science. Technology has greatly helped expand the range of learning styles that a lecturer can call on to reach people in new ways. Social media outlets like Twitter, Facebook, Instagram, and Tumblr have expanded the reach of science communication within and across scientific disciplines and to the lay public. Here, with all themore » videos, interactive quizzes, and instant feedback it can be easy to overlook one of the simplest methods for communicating complex ideas: comics.« less

Ten simple rules for drawing scientific comics

DOE PAGES

McDermott, Jason E.; Partridge, Matthew; Bromberg, Yana; ...

2018-01-04

Institutions around the world are fighting to improve science communication all the time. From calls for journal papers to be simplified to encouraging scientists to take more of an active role through community engagement, there is an impetus to demystify and improve public understanding and engagement with science. Technology has greatly helped expand the range of learning styles that a lecturer can call on to reach people in new ways. Social media outlets like Twitter, Facebook, Instagram, and Tumblr have expanded the reach of science communication within and across scientific disciplines and to the lay public. Here, with all themore » videos, interactive quizzes, and instant feedback it can be easy to overlook one of the simplest methods for communicating complex ideas: comics.« less

Audio-vocal interaction in single neurons of the monkey ventrolateral prefrontal cortex.

PubMed

Hage, Steffen R; Nieder, Andreas

2015-05-06

Complex audio-vocal integration systems depend on a strong interconnection between the auditory and the vocal motor system. To gain cognitive control over audio-vocal interaction during vocal motor control, the PFC needs to be involved. Neurons in the ventrolateral PFC (VLPFC) have been shown to separately encode the sensory perceptions and motor production of vocalizations. It is unknown, however, whether single neurons in the PFC reflect audio-vocal interactions. We therefore recorded single-unit activity in the VLPFC of rhesus monkeys (Macaca mulatta) while they produced vocalizations on command or passively listened to monkey calls. We found that 12% of randomly selected neurons in VLPFC modulated their discharge rate in response to acoustic stimulation with species-specific calls. Almost three-fourths of these auditory neurons showed an additional modulation of their discharge rates either before and/or during the monkeys' motor production of vocalization. Based on these audio-vocal interactions, the VLPFC might be well positioned to combine higher order auditory processing with cognitive control of the vocal motor output. Such audio-vocal integration processes in the VLPFC might constitute a precursor for the evolution of complex learned audio-vocal integration systems, ultimately giving rise to human speech. Copyright © 2015 the authors 0270-6474/15/357030-11$15.00/0.

Speech Recognition Software for Language Learning: Toward an Evaluation of Validity and Student Perceptions

ERIC Educational Resources Information Center

Cordier, Deborah

2009-01-01

A renewed focus on foreign language (FL) learning and speech for communication has resulted in computer-assisted language learning (CALL) software developed with Automatic Speech Recognition (ASR). ASR features for FL pronunciation (Lafford, 2004) are functional components of CALL designs used for FL teaching and learning. The ASR features…

Virtual environments for the transfer of navigation skills in the blind: a comparison of directed instruction vs. video game based learning approaches.

PubMed

Connors, Erin C; Chrastil, Elizabeth R; Sánchez, Jaime; Merabet, Lotfi B

2014-01-01

For profoundly blind individuals, navigating in an unfamiliar building can represent a significant challenge. We investigated the use of an audio-based, virtual environment called Audio-based Environment Simulator (AbES) that can be explored for the purposes of learning the layout of an unfamiliar, complex indoor environment. Furthermore, we compared two modes of interaction with AbES. In one group, blind participants implicitly learned the layout of a target environment while playing an exploratory, goal-directed video game. By comparison, a second group was explicitly taught the same layout following a standard route and instructions provided by a sighted facilitator. As a control, a third group interacted with AbES while playing an exploratory, goal-directed video game however, the explored environment did not correspond to the target layout. Following interaction with AbES, a series of route navigation tasks were carried out in the virtual and physical building represented in the training environment to assess the transfer of acquired spatial information. We found that participants from both modes of interaction were able to transfer the spatial knowledge gained as indexed by their successful route navigation performance. This transfer was not apparent in the control participants. Most notably, the game-based learning strategy was also associated with enhanced performance when participants were required to find alternate routes and short cuts within the target building suggesting that a ludic-based training approach may provide for a more flexible mental representation of the environment. Furthermore, outcome comparisons between early and late blind individuals suggested that greater prior visual experience did not have a significant effect on overall navigation performance following training. Finally, performance did not appear to be associated with other factors of interest such as age, gender, and verbal memory recall. We conclude that the highly interactive and immersive exploration of the virtual environment greatly engages a blind user to develop skills akin to positive near transfer of learning. Learning through a game play strategy appears to confer certain behavioral advantages with respect to how spatial information is acquired and ultimately manipulated for navigation.

Virtual environments for the transfer of navigation skills in the blind: a comparison of directed instruction vs. video game based learning approaches

PubMed Central

Connors, Erin C.; Chrastil, Elizabeth R.; Sánchez, Jaime; Merabet, Lotfi B.

2014-01-01

For profoundly blind individuals, navigating in an unfamiliar building can represent a significant challenge. We investigated the use of an audio-based, virtual environment called Audio-based Environment Simulator (AbES) that can be explored for the purposes of learning the layout of an unfamiliar, complex indoor environment. Furthermore, we compared two modes of interaction with AbES. In one group, blind participants implicitly learned the layout of a target environment while playing an exploratory, goal-directed video game. By comparison, a second group was explicitly taught the same layout following a standard route and instructions provided by a sighted facilitator. As a control, a third group interacted with AbES while playing an exploratory, goal-directed video game however, the explored environment did not correspond to the target layout. Following interaction with AbES, a series of route navigation tasks were carried out in the virtual and physical building represented in the training environment to assess the transfer of acquired spatial information. We found that participants from both modes of interaction were able to transfer the spatial knowledge gained as indexed by their successful route navigation performance. This transfer was not apparent in the control participants. Most notably, the game-based learning strategy was also associated with enhanced performance when participants were required to find alternate routes and short cuts within the target building suggesting that a ludic-based training approach may provide for a more flexible mental representation of the environment. Furthermore, outcome comparisons between early and late blind individuals suggested that greater prior visual experience did not have a significant effect on overall navigation performance following training. Finally, performance did not appear to be associated with other factors of interest such as age, gender, and verbal memory recall. We conclude that the highly interactive and immersive exploration of the virtual environment greatly engages a blind user to develop skills akin to positive near transfer of learning. Learning through a game play strategy appears to confer certain behavioral advantages with respect to how spatial information is acquired and ultimately manipulated for navigation. PMID:24822044

A comparative study of traditional lecture methods and interactive lecture methods in introductory geology courses for non-science majors at the college level

NASA Astrophysics Data System (ADS)

Hundley, Stacey A.

In recent years there has been a national call for reform in undergraduate science education. The goal of this reform movement in science education is to develop ways to improve undergraduate student learning with an emphasis on developing more effective teaching practices. Introductory science courses at the college level are generally taught using a traditional lecture format. Recent studies have shown incorporating active learning strategies within the traditional lecture classroom has positive effects on student outcomes. This study focuses on incorporating interactive teaching methods into the traditional lecture classroom to enhance student learning for non-science majors enrolled in introductory geology courses at a private university. Students' experience and instructional preferences regarding introductory geology courses were identified from survey data analysis. The information gained from responses to the questionnaire was utilized to develop an interactive lecture introductory geology course for non-science majors. Student outcomes were examined in introductory geology courses based on two teaching methods: interactive lecture and traditional lecture. There were no significant statistical differences between the groups based on the student outcomes and teaching methods. Incorporating interactive lecture methods did not statistically improve student outcomes when compared to traditional lecture teaching methods. However, the responses to the survey revealed students have a preference for introductory geology courses taught with lecture and instructor-led discussions and students prefer to work independently or in small groups. The results of this study are useful to individuals who teach introductory geology courses and individuals who teach introductory science courses for non-science majors at the college level.

Prediction and Validation of Disease Genes Using HeteSim Scores.

PubMed

Zeng, Xiangxiang; Liao, Yuanlu; Liu, Yuansheng; Zou, Quan

2017-01-01

Deciphering the gene disease association is an important goal in biomedical research. In this paper, we use a novel relevance measure, called HeteSim, to prioritize candidate disease genes. Two methods based on heterogeneous networks constructed using protein-protein interaction, gene-phenotype associations, and phenotype-phenotype similarity, are presented. In HeteSim_MultiPath (HSMP), HeteSim scores of different paths are combined with a constant that dampens the contributions of longer paths. In HeteSim_SVM (HSSVM), HeteSim scores are combined with a machine learning method. The 3-fold experiments show that our non-machine learning method HSMP performs better than the existing non-machine learning methods, our machine learning method HSSVM obtains similar accuracy with the best existing machine learning method CATAPULT. From the analysis of the top 10 predicted genes for different diseases, we found that HSSVM avoid the disadvantage of the existing machine learning based methods, which always predict similar genes for different diseases. The data sets and Matlab code for the two methods are freely available for download at http://lab.malab.cn/data/HeteSim/index.jsp.

Efficacy of a Meiosis Learning Module Developed for the Virtual Cell Animation Collection.

PubMed

Goff, Eric E; Reindl, Katie M; Johnson, Christina; McClean, Phillip; Offerdahl, Erika G; Schroeder, Noah L; White, Alan R

2017-01-01

Recent reports calling for change in undergraduate biology education have resulted in the redesign of many introductory biology courses. Reports on one common change to course structure, the active-learning environment, have placed an emphasis on student preparation, noting that the positive outcomes of active learning in the classroom depend greatly on how well the student prepares before class. As a possible preparatory resource, we test the efficacy of a learning module developed for the Virtual Cell Animation Collection. This module presents the concepts of meiosis in an interactive, dynamic environment that has previously been shown to facilitate learning in introductory biology students. Participants ( n = 534) were enrolled in an introductory biology course and were presented the concepts of meiosis in one of two treatments: the interactive-learning module or a traditional lecture session. Analysis of student achievement shows that students who viewed the learning module as their only means of conceptual presentation scored significantly higher ( d = 0.40, p < 0.001) than students who only attended a traditional lecture on the topic. Our results show the animation-based learning module effectively conveyed meiosis conceptual understanding, which suggests that it may facilitate student learning outside the classroom. Moreover, these results have implications for instructors seeking to expand their arsenal of tools for "flipping" undergraduate biology courses. © 2017 E. E. Goff et al. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

The Internet, Language Learning, and International Dialogue: Constructing Online Foreign Language Learning Websites

ERIC Educational Resources Information Center

Kartal, Erdogan; Uzun, Levent

2010-01-01

In the present study we call attention to the close connection between languages and globalization, and we also emphasize the importance of the Internet and online websites in foreign language teaching and learning as unavoidable elements of computer assisted language learning (CALL). We prepared a checklist by which we investigated 28 foreign…

CALL Vocabulary Learning in Japanese: Does Romaji Help Beginners Learn More Words?

ERIC Educational Resources Information Center

Okuyama, Yoshiko

2007-01-01

This study investigated the effects of using Romanized spellings on beginner-level Japanese vocabulary learning. Sixty-one first-semester students at two universities in Arizona were both taught and tested on 40 Japanese content words in a computer-assisted language learning (CALL) program. The primary goal of the study was to examine whether the…

Gravity Sensor Plasticity in the Space Environment

NASA Technical Reports Server (NTRS)

Ross, Muriel D.

1996-01-01

The ability of the brain to learn from experience and to adapt to new environments is recognized to be profound. This ability, called 'neural plasticity,' depends directly on properties of neurons (nerve cells) that permit them to change in dimension, sprout new parts called spines, change the shape and/or size of existing parts, and to generate, alter, or delete synapses. (Synapses are communication sites between neurons.) These neuronal properties are most evident during development, when evolution guides the laying down of a general plan of the nervous system. However, once a nervous system is established, experience interacts with cellular and genetic mechanisms and the internal milieu to produce unique neuronal substrates that define each individual. The capacity for experience-related neuronal growth in the brain, as measured by the potential for synaptogenesis, is speculated to be in the trillions of synapses, but the range of increment possible for any one part of the nervous system is unknown. The question has been whether more primitive endorgans such as gravity sensors of the inner ear have a capacity for adaptive change, since this is a form of learning from experience.

The Orphan Nuclear Receptors at Their 25th Year Reunion

PubMed Central

Mullican, Shannon E.; DiSpirito, Joanna R.; Lazar, Mitchell A.

2013-01-01

The Nuclear Receptor superfamily includes many receptors identified based on their similarity to steroid hormone receptors but without a known ligand. The study of how these receptors are diversely regulated to interact with genomic regions to control a plethora of biological processes has provided critical insight into development, physiology and the molecular pathology of disease. Here we provide a compendium of these so-called Orphan Receptors, and focus on what has been learned about their modes of action, physiological functions, and therapeutic promise. PMID:24096517

Traveling Exhibitions: translating current science into effective science exhibitions

NASA Astrophysics Data System (ADS)

Dusenbery, P.; Morrow, C.; Harold, J.

The Space Science Institute (SSI) of Boulder, Colorado has recently developed two museum exhibits called the Space Weather Center and MarsQuest. It is currently planning to develop two other exhibitions called Cosmic Origins and InterActive Earth. Museum exhibitions provide research scientists the opportunity to engage in a number of activities that are vital to the success of earth and space outreach programs. The Space Weather Center was developed in partnership with various research missions at NASA's Goddard Space Flight Center. The focus of the presentation will be on the Institute's MarsQuest exhibition. This project is a 5000 square-foot, 2.5M, traveling exhibition that is now touring the country. The exhibit's 3-year tour is enabling millions of Americans to share in the excitement of the scientific exploration of Mars and learn more about their own planet in the process. The associated planetarium show and education program will also be described, with particular emphasis on workshops to orient host museum staff (e.g. museum educators and docents). The workshops make innovative connections between the exhibitions interactive experiences and lesson plans aligned with the National Science Education Standards. SSI is also developing an interactive web site called MarsQuest On-line. The linkage between the web site, education program and exhibit will be discussed. MarsQuest and SSI's other exhibitions are good models for actively involving scientists and their discoveries to help improve informal science education in the museum community and for forging a stronger connection between formal and informal education.

Integrated Language Skills CALL Course Design

ERIC Educational Resources Information Center

Watson, Kevin; Agawa, Grant

2013-01-01

The importance of a structured learning framework or interrelated frameworks is the cornerstone of a solid English as a foreign language (EFL) computer-assisted language learning (CALL) curriculum. While the benefits of CALL are widely promoted in the literature, there is often an endemic discord separating theory and practice. Oftentimes the…

Integrating Computer-Assisted Language Learning in Saudi Schools: A Change Model

ERIC Educational Resources Information Center

Alresheed, Saleh; Leask, Marilyn; Raiker, Andrea

2015-01-01

Computer-assisted language learning (CALL) technology and pedagogy have gained recognition globally for their success in supporting second language acquisition (SLA). In Saudi Arabia, the government aims to provide most educational institutions with computers and networking for integrating CALL into classrooms. However, the recognition of CALL's…

A Study of Multimedia Application-Based Vocabulary Acquisition

ERIC Educational Resources Information Center

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…

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

PubMed Central

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

2016-01-01

Embodiment theory proposes that knowledge is grounded in sensorimotor systems, and that learning can be facilitated to the extent that lessons can be mapped to these systems. This study with 109 college-age participants addresses two overarching questions: (a) how are immediate and delayed learning gains affected by the degree to which a lesson is embodied, and (b) how do the affordances of three different educational platforms affect immediate and delayed learning? Six 50 min-long lessons on centripetal force were created. The first factor was the degree of embodiment with two levels: (1) low and (2) high. The second factor was platform with three levels: (1) a large scale “mixed reality” immersive environment containing both digital and hands-on components called SMALLab, (2) an interactive whiteboard system, and (3) a mouse-driven desktop computer. Pre-tests, post-tests, and 1-week follow-up (retention or delayed learning gains) tests were administered resulting in a 2 × 3 × 3 design. Two knowledge subtests were analyzed, one that relied on more declarative knowledge and one that relied on more generative knowledge, e.g., hand-drawing vectors. Regardless of condition, participants made significant immediate learning gains from pre-test to post-test. There were no significant main effects or interactions due to platform or embodiment on immediate learning. However, from post-test to follow-up the level of embodiment interacted significantly with time, such that participants in the high embodiment conditions performed better on the subtest devoted to generative knowledge questions. We posit that better retention of certain types of knowledge can be seen over time when more embodiment is present during the encoding phase. This sort of retention may not appear on more traditional factual/declarative tests. Educational technology designers should consider using more sensorimotor feedback and gestural congruency when designing and opportunities for instructor professional development need to be provided as well. PMID:27933009

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

PubMed

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

2016-01-01

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

User-Centered Computer Aided Language Learning

ERIC Educational Resources Information Center

Zaphiris, Panayiotis, Ed.; Zacharia, Giorgos, Ed.

2006-01-01

In the field of computer aided language learning (CALL), there is a need for emphasizing the importance of the user. "User-Centered Computer Aided Language Learning" presents methodologies, strategies, and design approaches for building interfaces for a user-centered CALL environment, creating a deeper understanding of the opportunities and…

Social Learning: Medical Student Perceptions of Geriatric House Calls

ERIC Educational Resources Information Center

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…

Modeling Learning Processes in Lexical CALL.

ERIC Educational Resources Information Center

Goodfellow, Robin; Laurillard, Diana

1994-01-01

Studies the performance of a novice Spanish student using a Computer-assisted language learning (CALL) system designed for vocabulary enlargement. Results indicate that introspective evidence may be used to validate performance data within a theoretical framework that characterizes the learning approach as "surface" or "deep." (25 references)…

Learning outcomes through the cooperative learning team assisted individualization on research methodology’ course

NASA Astrophysics Data System (ADS)

Pakpahan, N. F. D. B.

2018-01-01

All articles must contain an abstract. The research methodology is a subject in which the materials must be understood by the students who will take the thesis. Implementation of learning should create the conditions for active learning, interactive and effective are called Team Assisted Individualization (TAI) cooperative learning. The purpose of this study: 1) improving student learning outcomes at the course research methodology on TAI cooperative learning. 2) improvement of teaching activities. 3) improvement of learning activities. This study is a classroom action research conducted at the Department of Civil Engineering Universitas Negeri Surabaya. The research subjects were 30 students and lecturer of courses. Student results are complete in the first cycle by 20 students (67%) and did not complete 10 students (33%). In the second cycle students who complete being 26 students (87%) and did not complete 4 students (13%). There is an increase in learning outcomes by 20%. Results of teaching activities in the first cycle obtained the value of 3.15 with the criteria enough well. In the second cycle obtained the value of 4.22 with good criterion. The results of learning activities in the first cycle obtained the value of 3.05 with enough criterion. In the second cycle was obtained 3.95 with good criterion.

Increasing Bellevue School District's elementary teachers' capacity for teaching inquiry-based science: Using ideas from contemporary learning theory to inform professional development

NASA Astrophysics Data System (ADS)

Maury, Tracy Anne

This Capstone project examined how leaders in the Bellevue School District can increase elementary teachers' capacity for teaching inquiry-based science through the use of professional learning activities that are grounded in ideas from human learning theory. A framework for professional development was constructed and from that framework, a set of professional learning activities were developed as a means to support teacher learning while project participants piloted new curriculum called the Isopod Habitat Challenge. Teachers in the project increased their understanding of the learning theory principles of preconceptions and metacognition. Teachers did not increase their understanding of the principle of learning with understanding, although they did articulate the significance of engaging children in student-led inquiry cycles. Data from the curriculum revision and professional development project coupled with ideas from learning theory, cognition and policy implementation, and learning community literatures suggest Bellevue's leaders can encourage peer-to-peer interaction, link professional development to teachers' daily practice, and capitalize on technology as ways to increase elementary teachers' capacity for teaching inquiry-based science. These lessons also have significance for supporting teacher learning and efficacy in other subject areas and at other levels in the system.

An Interactive, Design and Educational Tool for Supersonic External-Compression Inlets

NASA Technical Reports Server (NTRS)

Benson, Thomas J.

1994-01-01

A workstation-based interactive design tool called VU-INLET was developed for the inviscid flow in rectangular, supersonic, external-compression inlets. VU-INLET solves for the flow conditions from free stream, through the supersonic compression ramps, across the terminal normal shock region and the subsonic diffuser to the engine face. It calculates the shock locations, the capture streamtube, and the additive drag of the inlet. The inlet geometry can be modified using a graphical user interface and the new flow conditions recalculated interactively. Free stream conditions and engine airflow can also be interactively varied and off-design performance evaluated. Flow results from VU-INLET can be saved to a file for a permanent record, and a series of help screens make the simulator easy to learn and use. This paper will detail the underlying assumptions of the models and the numerical methods used in the simulator.

Professional Learning in Canada: Learning Forward Releases a Landmark Study and Call to Action

ERIC Educational Resources Information Center

Learning Professional, 2017

2017-01-01

Learning Forward recently released findings from a new study that fills a long-standing gap in existing Pan-Canadian research, identifying key components of effective professional learning based on findings from educators' experiences in Canada. Accompanying the study is a call to action by Michael Fullan and Andy Hargreaves making the case for a…

Using "get with the guidelines" to improve cardiovascular secondary prevention.

PubMed

LaBresh, Kenneth A; Gliklich, Richard; Liljestrand, James; Peto, Randolph; Ellrodt, A Gray

2003-10-01

"Get With The Guidelines (GWTG)" was developed and piloted by the American Heart Association (AHA), New England Affiliate; MassPRO, Inc.; and other organizations to reduce the gap in the application of secondary prevention guidelines in hospitalized cardiovascular disease patients. Collaborative learning programs and technology solutions were created for the project. The interactive Web-based patient management tool (PMT) was developed using quality measures derived from the AHA/American College of Cardiology secondary prevention guidelines. It provided data entry, embedded reminders and guideline summaries, and online reports of quality measure performance, including comparisons with the aggregate performance of all hospitals. Multidisciplinary teams from 24 hospitals participated in the 2000-2001 pilot. Four collaborative learning sessions and monthly conference calls supported team interaction. Best-practices sharing and the use of an Internet tool enabled hospitals to change systems and collect data on 1,738 patients. The GWTG program, a template of learning sessions with didactic presentations, best-practices sharing, and collaborative multidisciplinary team meetings supported by the Internet-based data collection and reporting system, can be extended to multiple regions without requiring additional development. Following the completion of the pilot, the AHA adopted GWTG as a national program.

PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses.

PubMed

Chen, Qing; Chen, Yuanzhe; Liu, Dongyu; Shi, Conglei; Wu, Yingcai; Qu, Huamin

2016-10-01

Massive open online courses (MOOCs) aim to facilitate open-access and massive-participation education. These courses have attracted millions of learners recently. At present, most MOOC platforms record the web log data of learner interactions with course videos. Such large amounts of multivariate data pose a new challenge in terms of analyzing online learning behaviors. Previous studies have mainly focused on the aggregate behaviors of learners from a summative view; however, few attempts have been made to conduct a detailed analysis of such behaviors. To determine complex learning patterns in MOOC video interactions, this paper introduces a comprehensive visualization system called PeakVizor. This system enables course instructors and education experts to analyze the "peaks" or the video segments that generate numerous clickstreams. The system features three views at different levels: the overview with glyphs to display valuable statistics regarding the peaks detected; the flow view to present spatio-temporal information regarding the peaks; and the correlation view to show the correlation between different learner groups and the peaks. Case studies and interviews conducted with domain experts have demonstrated the usefulness and effectiveness of PeakVizor, and new findings about learning behaviors in MOOC platforms have been reported.

Robust representation and recognition of facial emotions using extreme sparse learning.

PubMed

Shojaeilangari, Seyedehsamaneh; Yau, Wei-Yun; Nandakumar, Karthik; Li, Jun; Teoh, Eam Khwang

2015-07-01

Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning systems. Traditionally, facial emotion recognition systems have been evaluated on laboratory controlled data, which is not representative of the environment faced in real-world applications. To robustly recognize the facial emotions in real-world natural situations, this paper proposes an approach called extreme sparse learning, which has the ability to jointly learn a dictionary (set of basis) and a nonlinear classification model. The proposed approach combines the discriminative power of extreme learning machine with the reconstruction property of sparse representation to enable accurate classification when presented with noisy signals and imperfect data recorded in natural settings. In addition, this paper presents a new local spatio-temporal descriptor that is distinctive and pose-invariant. The proposed framework is able to achieve the state-of-the-art recognition accuracy on both acted and spontaneous facial emotion databases.

Procedural learning and associative memory mechanisms contribute to contextual cueing: Evidence from fMRI and eye-tracking.

PubMed

Manelis, Anna; Reder, Lynne M

2012-10-16

Using a combination of eye tracking and fMRI in a contextual cueing task, we explored the mechanisms underlying the facilitation of visual search for repeated spatial configurations. When configurations of distractors were repeated, greater activation in the right hippocampus corresponded to greater reductions in the number of saccades to locate the target. A psychophysiological interactions analysis for repeated configurations revealed that a strong functional connectivity between this area in the right hippocampus and the left superior parietal lobule early in learning was significantly reduced toward the end of the task. Practice related changes (which we call "procedural learning") in activation in temporo-occipital and parietal brain regions depended on whether or not spatial context was repeated. We conclude that context repetition facilitates visual search through chunk formation that reduces the number of effective distractors that have to be processed during the search. Context repetition influences procedural learning in a way that allows for continuous and effective chunk updating.

Simulating care: technology-mediated learning in twenty-first century nursing education.

PubMed

Diener, Elizabeth; Hobbs, Nelda

2012-01-01

The increased reliance on simulation classrooms has proven successful in learning skills. Questions persist concerning the ability of technology-driven robotic devices to form and cultivate caring behaviors, or sufficiently develop interactive nurse-client communication necessary in the context of nursing. This article examines the disconnects created by use of simulation technology in nursing education, raising the question: "Can learning of caring-as-being, be facilitated in simulation classrooms?" We propose that unless time is spent with human beings in the earliest stages of nursing education, transpersonal caring relationships do not have space to develop. Learning, crafting, and maturation of caring behaviors threatens to become a serendipitous event or is no longer perceived as an essential characteristic of nursing. Technology does not negate caring-the isolation it fosters makes transpersonal caring all the more important. We are called to create a new paradigm for nursing education that merges Nightingale's vision with technology's promise. © 2012 Wiley Periodicals, Inc.

Synthetic Modeling of Autonomous Learning with a Chaotic Neural Network

NASA Astrophysics Data System (ADS)

Funabashi, Masatoshi

We investigate the possible role of intermittent chaotic dynamics called chaotic itinerancy, in interaction with nonsupervised learnings that reinforce and weaken the neural connection depending on the dynamics itself. We first performed hierarchical stability analysis of the Chaotic Neural Network model (CNN) according to the structure of invariant subspaces. Irregular transition between two attractor ruins with positive maximum Lyapunov exponent was triggered by the blowout bifurcation of the attractor spaces, and was associated with riddled basins structure. We secondly modeled two autonomous learnings, Hebbian learning and spike-timing-dependent plasticity (STDP) rule, and simulated the effect on the chaotic itinerancy state of CNN. Hebbian learning increased the residence time on attractor ruins, and produced novel attractors in the minimum higher-dimensional subspace. It also augmented the neuronal synchrony and established the uniform modularity in chaotic itinerancy. STDP rule reduced the residence time on attractor ruins, and brought a wide range of periodicity in emerged attractors, possibly including strange attractors. Both learning rules selectively destroyed and preserved the specific invariant subspaces, depending on the neuron synchrony of the subspace where the orbits are situated. Computational rationale of the autonomous learning is discussed in connectionist perspective.

Learning Science Using AR Book: A Preliminary Study on Visual Needs of Deaf Learners

NASA Astrophysics Data System (ADS)

Megat Mohd. Zainuddin, Norziha; Badioze Zaman, Halimah; Ahmad, Azlina

Augmented Reality (AR) is a technology that is projected to have more significant role in teaching and learning, particularly in visualising abstract concepts in the learning process. AR is a technology is based on visually oriented technique. Thus, it is suitable for deaf learners since they are generally classified as visual learners. Realising the importance of visual learning style for deaf learners in learning Science, this paper reports on a preliminary study of on an ongoing research on problems faced by deaf learners in learning the topic on Microorganisms. Being visual learners, they have problems with current text books that are more text-based that graphic based. In this preliminary study, a qualitative approach using the ethnographic observational technique was used so that interaction with three deaf learners who are participants throughout this study (they are also involved actively in the design and development of the AR Book). An interview with their teacher and doctor were also conducted to identify their learning and medical problems respectively. Preliminary findings have confirmed the need to design and develop a special Augmented Reality Book called AR-Science for Deaf Learners (AR-SiD).

The human dynamic clamp as a paradigm for social interaction

PubMed Central

Dumas, Guillaume; de Guzman, Gonzalo C.; Tognoli, Emmanuelle; Kelso, J. A. Scott

2014-01-01

Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject’s own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual “teacher.” We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof. PMID:25114256

Virtual Power Electronics: Novel Software Tools for Design, Modeling and Education

NASA Astrophysics Data System (ADS)

Hamar, Janos; Nagy, István; Funato, Hirohito; Ogasawara, Satoshi; Dranga, Octavian; Nishida, Yasuyuki

The current paper is dedicated to present browser-based multimedia-rich software tools and e-learning curriculum to support the design and modeling process of power electronics circuits and to explain sometimes rather sophisticated phenomena. Two projects will be discussed. The so-called Inetele project is financed by the Leonardo da Vinci program of the European Union (EU). It is a collaborative project between numerous EU universities and institutes to develop state-of-the art curriculum in Electrical Engineering. Another cooperative project with participation of Japanese, European and Australian institutes focuses especially on developing e-learning curriculum, interactive design and modeling tools, furthermore on development of a virtual laboratory. Snapshots from these two projects will be presented.

Integrating Collaborative and Decentralized Models to Support Ubiquitous Learning

ERIC Educational Resources Information Center

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…

Sustainability in CALL Learning Environments: A Systemic Functional Grammar Approach

ERIC Educational Resources Information Center

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…

Factors Affecting the Normalization of CALL in Chinese Senior High Schools

ERIC Educational Resources Information Center

He, Bi; Puakpong, Nattaya; Lian, Andrew

2015-01-01

With the development of Information Technology, increasing attention has been paid to Computer Assisted Language Learning (CALL). Meanwhile, increasing enthusiasm is seen for English learning and teaching in China. Yet, few research studies have focused on the normalization of CALL in ethnically diverse areas. In response to this research gap,…

English Language Teachers' Perceptions of Computer-Assisted Language Learning

ERIC Educational Resources Information Center

Feng, Yu Lin

2012-01-01

A growing number of studies have reported the potential use of computer-assisted language learning (CALL) and other types of technology for ESL and EFL students. So far, most studies on CALL have focused on CALL-classroom comparisons (Chenoweth & Murday, 2003; Chenoweth, Ushida, & Murday, 2007; Fitze, 2006; Neri, Mich, Gerosa, &…

Impact of Using CALL on Iranian EFL Learners' Vocabulary Knowledge

ERIC Educational Resources Information Center

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…

CALL and Less Commonly Taught Languages--Still a Way to Go

ERIC Educational Resources Information Center

Ward, Monica

2016-01-01

Many Computer Assisted Language Learning (CALL) innovations mainly apply to the Most Commonly Taught Languages (MCTLs), especially English. Recent manifestations of CALL for MCTLs such as corpora, Mobile Assisted Language Learning (MALL) and Massively Open Online Courses (MOOCs) are found less frequently in the world of Less Commonly Taught…

Diverse Region-Based CNN for Hyperspectral Image Classification.

PubMed

Zhang, Mengmeng; Li, Wei; Du, Qian

2018-06-01

Convolutional neural network (CNN) is of great interest in machine learning and has demonstrated excellent performance in hyperspectral image classification. In this paper, we propose a classification framework, called diverse region-based CNN, which can encode semantic context-aware representation to obtain promising features. With merging a diverse set of discriminative appearance factors, the resulting CNN-based representation exhibits spatial-spectral context sensitivity that is essential for accurate pixel classification. The proposed method exploiting diverse region-based inputs to learn contextual interactional features is expected to have more discriminative power. The joint representation containing rich spectral and spatial information is then fed to a fully connected network and the label of each pixel vector is predicted by a softmax layer. Experimental results with widely used hyperspectral image data sets demonstrate that the proposed method can surpass any other conventional deep learning-based classifiers and other state-of-the-art classifiers.

Learning with a missing sense: what can we learn from the interaction of a deaf child with a turtle?

PubMed

Miller, Paul

2009-01-01

This case study reports on the progress of Navon, a 13-year-old boy with prelingual deafness, over a 3-month period following exposure to Logo, a computer programming language that visualizes specific programming commands by means of a virtual drawing tool called the Turtle. Despite an almost complete lack of skills in spoken and sign language, Navon made impressive progress in his programming skills, including acquisition of a notable active written vocabulary, which he learned to apply in a purposeful, rule-based manner. His achievements are discussed with reference to commonly held assumptions about the relationship between language and thought, in general, and the prerequisite of proper spoken language skills for the acquisition of reading and writing, in particular. Highlighted are the central principles responsible for Navon's unexpected cognitive and linguistic development, including the way it affected his social relations with peers and teachers.

Closed-loop bird-computer interactions: a new method to study the role of bird calls.

PubMed

Lerch, Alexandre; Roy, Pierre; Pachet, François; Nagle, Laurent

2011-03-01

In the field of songbird research, many studies have shown the role of male songs in territorial defense and courtship. Calling, another important acoustic communication signal, has received much less attention, however, because calls are assumed to contain less information about the emitter than songs do. Birdcall repertoire is diverse, and the role of calls has been found to be significant in the area of social interaction, for example, in pair, family, and group cohesion. However, standard methods for studying calls do not allow precise and systematic study of their role in communication. We propose herein a new method to study bird vocal interaction. A closed-loop computer system interacts with canaries, Serinus canaria, by (1) automatically classifying two basic types of canary vocalization, single versus repeated calls, as they are produced by the subject, and (2) responding with a preprogrammed call type recorded from another bird. This computerized animal-machine interaction requires no human interference. We show first that the birds do engage in sustained interactions with the system, by studying the rate of single and repeated calls for various programmed protocols. We then show that female canaries differentially use single and repeated calls. First, they produce significantly more single than repeated calls, and second, the rate of single calls is associated with the context in which they interact, whereas repeated calls are context independent. This experiment is the first illustration of how closed-loop bird-computer interaction can be used productively to study social relationships. © Springer-Verlag 2010

An Exploration of Autonetnography as an eResearch Methodology to Examine Learning and Teaching Scholarship in Networked Learning

ERIC Educational Resources Information Center

Howard, Lyz

2016-01-01

As an experienced face-to-face teacher, working in a small Crown Dependency with no Higher Education Institute (HEI) to call its own, the subsequent geographical and professional isolation in the context of Networked Learning (NL), as a sub-set of eLearning, calls for innovative ways in which to develop self-reliant methods of professional…

ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom

PubMed Central

Wiggins, Benjamin L.; Eddy, Sarah L.; Wener-Fligner, Leah; Freisem, Karen; Grunspan, Daniel Z.; Theobald, Elli J.; Timbrook, Jerry; Crowe, Alison J.

2017-01-01

The primary measure used to determine relative effectiveness of in-class activities has been student performance on pre/posttests. However, in today’s active-learning classrooms, learning is a social activity, requiring students to interact and learn from their peers. To develop effective active-learning exercises that engage students, it is important to gain a more holistic view of the student experience in an active-learning classroom. We have taken a mixed-methods approach to iteratively develop and validate a 16-item survey to measure multiple facets of the student experience during active-learning exercises. The instrument, which we call Assessing Student Perspective of Engagement in Class Tool (ASPECT), was administered to a large introductory biology class, and student responses were subjected to exploratory factor analysis. The 16 items loaded onto three factors that cumulatively explained 52% of the variation in student response: 1) value of activity, 2) personal effort, and 3) instructor contribution. ASPECT provides a rapid, easily administered means to measure student perception of engagement in an active-learning classroom. Gaining a better understanding of students’ level of engagement will help inform instructor best practices and provide an additional measure for comprehensively assessing the impact of different active-learning strategies. PMID:28495936

A review on machine learning principles for multi-view biological data integration.

PubMed

Li, Yifeng; Wu, Fang-Xiang; Ngom, Alioune

2018-03-01

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong need of integrative machine learning models for better use of vast volumes of heterogeneous information in the deep understanding of biological systems and the development of predictive models. How data from multiple sources (called multi-view data) are incorporated in a learning system is a key step for successful analysis. In this article, we provide a comprehensive review on omics and clinical data integration techniques, from a machine learning perspective, for various analyses such as prediction, clustering, dimension reduction and association. We shall show that Bayesian models are able to use prior information and model measurements with various distributions; tree-based methods can either build a tree with all features or collectively make a final decision based on trees learned from each view; kernel methods fuse the similarity matrices learned from individual views together for a final similarity matrix or learning model; network-based fusion methods are capable of inferring direct and indirect associations in a heterogeneous network; matrix factorization models have potential to learn interactions among features from different views; and a range of deep neural networks can be integrated in multi-modal learning for capturing the complex mechanism of biological systems.

SUPPORTING TEACHERS IN IMPLEMENTING FORMATIVE ASSESSMENT PRACTICES IN EARTH SYSTEMS SCIENCE

NASA Astrophysics Data System (ADS)

Harris, C. J.; Penuel, W. R.; Haydel Debarger, A.; Blank, J. G.

2009-12-01

An important purpose of formative assessment is to elicit student thinking to use in instruction to help all students learn and inform next steps in teaching. However, formative assessment practices are difficult to implement and thus present a formidable challenge for many science teachers. A critical need in geoscience education is a framework for providing teachers with real-time assessment tools as well as professional development to learn how to use formative assessment to improve instruction. Here, we describe a comprehensive support system, developed for our NSF-funded Contingent Pedagogies project, for addressing the challenge of helping teachers to use formative assessment to enhance student learning in middle school Earth Systems science. Our support system is designed to improve student understanding about the geosphere by integrating classroom network technology, interactive formative assessments, and contingent curricular activities to guide teachers from formative assessment to instructional decision-making and improved student learning. To accomplish this, we are using a new classroom network technology, Group Scribbles, in the context of an innovative middle-grades Earth Science curriculum called Investigating Earth Systems (IES). Group Scribbles, developed at SRI International, is a collaborative software tool that allows individual students to compose “scribbles” (i.e., drawings and notes), on “post-it” notes in a private workspace (a notebook computer) in response to a public task. They can post these notes anonymously to a shared, public workspace (a teacher-controlled large screen monitor) that becomes the centerpiece of group and class discussion. To help teachers implement formative assessment practices, we have introduced a key resource, called a teaching routine, to help teachers take advantage of Group Scribbles for more interactive assessments. Routine refers to a sequence of repeatable interactions that, over time, become automatic to teachers and students. Routines function as classroom norms, governing how students and teachers interact with subject matter (i.e., the way ideas are elicited, taken up, and revised). We use the qualifier teaching because we view good classroom assessment as seamless with instruction. Each teaching routine defines a sequence of instructional moves, supported by classroom network technology, for creating formative assessment opportunities that address 3 goals: (1) Increase student-teacher and student-student communication;(2) Motivate students to participate and learn from discussion, investigation, and reading; and (3) Provide real-time feedback for the teacher who can then adjust instruction. We report on key features of our support system for helping teachers develop proficiency with using formative assessment to inform instruction and advance learning in Earth Systems science. We also present preliminary findings from the implementation of the support system with a test group of teachers in a large, urban school district. Findings highlight the promise of teaching routines as an important resource for structuring student opportunities to showcase their thinking.

Advancing MCH Interdisciplinary/Interprofessional Leadership Training and Practice Through a Learning Collaborative.

PubMed

McHugh, Meaghan C; Margolis, Lewis H; Rosenberg, Angela; Humphreys, Elizabeth

2016-11-01

Purpose The Interdisciplinary Leadership Learning Collaborative (ILLC), under the sponsorship of AUCD and the Maternal and Child Health Bureau, brought together six teams, composed of 14 MCHB and UCEDD training programs to enhance their leadership training. Description Using adult learning principles, interactive training methods, and skill-focused learning, the ILLC built upon the evidence-based Interdisciplinary Leadership Development Program of the University of North Carolina at Chapel Hill. The program began with a 4-day on-site intensive and then continued through monthly conference calls, a mid-term on-site workshop, and a summary virtual workshop to present programmatic accomplishments and share plans for sustainability. Coaching/consultation for the teams around particular challenges was also part of the program. Assessment All teams reported enhancements in intentional leadership training, threading of leadership concepts across clinical, didactic, and workshop settings, and new collaborative partnerships for leadership training. Teams also identified a number of strategies to increase sustainability of their intentional leadership training efforts. Conclusion for Practice The learning collaborative is a productive model to address the growing need for interdisciplinary MCH leaders.

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

ERIC Educational Resources Information Center

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…

Learning Design: Reflections upon the Current Landscape

ERIC Educational Resources Information Center

Mor, Yishay; Craft, Brock

2012-01-01

The mounting wealth of open and readily available information and the accelerated evolution of social, mobile and creative technologies call for a re-conceptualisation of the role of educators: from providers of knowledge to designers of learning. This call is reverberated by the rising trend of research in learning design (LD). Addressing this,…

Studying Language Learning Opportunities Afforded by a Collaborative CALL Task

ERIC Educational Resources Information Center

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…

Student Teachers and CALL: Personal and Pedagogical Uses and Beliefs

ERIC Educational Resources Information Center

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…

Experiential and authentic learning approaches in vaccine management.

PubMed

Kartoglu, Umit; Vesper, James; Teräs, Hanna; Reeves, Thomas

2017-04-19

A high level of concern is placed on the storage, handling, transportation, and distribution of vaccines and other pharmaceutical products, particularly those that are time and temperature sensitive. While active and passive cooling equipment and monitoring devices are important, it is the various personnel responsible for executing and writing procedures, designing and operating systems, and investigating problems and helping prevent them who are paramount in establishing and maintaining a "cold chain" for time and temperature sensitive pharmaceutical products (TTSPPs). These professionals must possess the required competencies, knowledge, skills and abilities so they can effectively perform these activities with appropriate levels of expertise. These are complex tasks that require the development of higher cognitive skills that cannot be adequately addressed through professional development opportunities based on simple information delivery and content acquisition. This paper describes two unique learning solutions (one on a bus called the "wheels course" and the other online called "e-learning") that have been developed by WHO Global Learning Opportunities (WHO/GLO) to provide participants with opportunities not just to learn about cold chain systems or vaccine management, but, rather, to develop high levels of expertise in their respective fields through experiential and authentic learning activities. In these interactive learning environments, participants have opportunities to address real-life situations in contexts similar to what they may face in their own work environments and develop solutions and critical thinking skills they can apply when they return to their jobs. This paper further delineates the managerial and operational vaccine management functions encompassed in these two unique learning environments. The paper also describes the alignment of the objectives addressed in the "wheels course" and the e-learning version with effective vaccine management (EVM) criteria as prescribed by WHO. The paper concludes with an example of a real world product developed by course graduates (specifically a decision tree that is now used by some national programmes). These types of products, valuable in their own right, often emerge when learning environments based on authentic learning principles are designed and implemented as they were by WHO/GLO. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Permaculture in higher education: Teaching sustainability through action learning

NASA Astrophysics Data System (ADS)

Battisti, Bryce Thomas

This is a case study of the use of Action Learning (AL) theory to teach and confer degrees in Permaculture and other forms of sustainability at the newly formed Gaia University International (GUI). In Chapter Two I argue that GUI, as an institution of higher learning, is organized to provide support for learning. The goal of the university structure is to provide students, called Associates, with a vehicle for accumulation of credit towards a bachelor's degree. This organizational structure is necessary, but insufficient for AL because Associates need more than an organization to provide and coordinate their degree programs. In other words, just because the network of university structures are organized in ways that make AL possible and convenient, it does not necessarily follow that Action Learning will occur for any individual Associate. The support structures within GUI's degrees are discussed in Chapter Three. To a greater or lesser degree GUI provides support for personal learning among Associates as advisors and advisees with the goal of helping Associates complete and document the outcomes of world-change projects. The support structures are necessary, but not sufficient for AL because the personal learning process occurring for each Associate requires transformative reflection. Additionally, because Associates' attrition rate is very high, many Associates do not remain enrolled in GUI long enough to benefit from the support structures. At the simplest organizational level I discuss the reflection process conducted in the patterned interactions of assigned learning groups called Guilds (Chapter Four). These groups of Associates work to provide each other with the best possible environment for personal learning through reflection. As its Associates experience transformative reflection, GUI is able to help elevate the quality of world-change efforts in the Permaculture community. Provided the organizational and support structures are in place, this reflection process is both necessary and sufficient for AL. By this I mean that if transformative reflection is occurring in Guild meetings, and is supported by a system of advisors, reviewers and support people within a university organized to give credit for Action Learning, then Action Learning will occur for individual Associates.

Interdisciplinary Research at the Intersection of CALL, NLP, and SLA: Methodological Implications from an Input Enhancement Project

ERIC Educational Resources Information Center

Ziegler, Nicole; Meurers, Detmar; Rebuschat, Patrick; Ruiz, Simón; Moreno-Vega, José L.; Chinkina, Maria; Li, Wenjing; Grey, Sarah

2017-01-01

Despite the promise of research conducted at the intersection of computer-assisted language learning (CALL), natural language processing, and second language acquisition, few studies have explored the potential benefits of using intelligent CALL systems to deepen our understanding of the process and products of second language (L2) learning. The…

A Comparison of Authoring Software for Developing Mathematics Self-Learning Software Packages.

ERIC Educational Resources Information Center

Suen, Che-yin; Pok, Yang-ming

Four years ago, the authors started to develop a self-paced mathematics learning software called NPMaths by using an authoring package called Tencore. However, NPMaths had some weak points. A development team was hence formed to develop similar software called Mathematics On Line. This time the team used another development language called…

CALL in the Year 2000: A Look Back from 2016

ERIC Educational Resources Information Center

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…

Reach the Unreached -IIRS Outreach program for enhanced learning to all

NASA Astrophysics Data System (ADS)

Krishna Murthy, Y. V. N.; Raju, P. L. N.; Srivastav, S. K.; Karnatak, H.; Gupta, P. Kumar; Mahadevaswamy, M.; Viswakarma, J.

2014-11-01

With the advent of Information and Communication Technology and improved broadband internet connectivity has enhanced the scope of learning any time anywhere, going beyond the traditional classroom approach. To support distance learning, Indian Space Research Organisation, Government of India has launched dedicated communication satellite called EDUSAT in 2004. The satellite is widely used for variety of applications like Tele-education, Tele-medicine, Village Resource Centres, mobile satellite services, disaster management support and television broadcasting educating farmers for agriculture and other purposes. One of the prime applications of EDUSAT satellite is tele-education at various levels (i.e. school level/UG /PG level) by different ministries / autonomous organizations / departments/institutions/universities in India effectively utilized the EDUSAT for Tele-education. The initial focus of IIRS was to use EDUSAT/INSAT 4CR satellite for distance learning but extended the scope to use broadband internet so that access to large number of institutions/universities /individuals with little cost the User. IIRS distance learning program initiated in 2007 and successfully conducted 12 programs in the last eight years. The first course was attended from twelve universities and the number of institutions /universities increased manifold. The thirteenth course is progress with more than 210 institutions /universities /departments /individuals with more than 3200 number of participants attending the program live and interactive. IIRS program is unique and interactive and demand is increasing not only universities but among research institutions, user departments and individuals.

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

ERIC Educational Resources Information Center

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…

Learning through student-authored interactive media: A mixed methods exploration

NASA Astrophysics Data System (ADS)

Sakai-Miller, Sharon (Sam)

2009-12-01

The purpose of this study was to improve student achievement in science and proficiency in information and communication technologies (ICT), which are vital 21st century workforce skills. Instead of isolating the issues, the study proposed an integrated solution that applied the constructivist approach to help students learn about a unit in biology using three software applications to create interactive, self-correcting eModules within a two-week period. Research questions focused on the effectiveness of the instructional strategy, the experience of students authoring eModules, obstacles they encountered, and the role of the teacher. Fifty-one out of the possible 55 eleventh and twelfth grade students in the two Advanced Biology classes consented to participate in the study. A comparison of pre and post-test scores showed an average 547% improvement. Students with low initial scores of 10% or less improved an average of 1229%. Ten students (20%) went from 20% or below on the pre-test to 80% or above on the post-test, and were analyzed as a subgroup called "big gainers." Student journals and exit surveys were explored to understand the process students followed to develop eModules. The majority of student responses in the exit survey (85%) described the overall experience as a positive one. Journals showed how students were able to follow the process of creating a concept map using Inspiration software, converting the outline into a PowerPoint slide show, editing the slides and importing them into Adobe Captivate files, inserting self-correcting questions, completing their eModules, and submitting them to their teacher. Students identified obstacles they encountered to help them to problem solve and provided data for improving the instructional strategy. Addressing technology learning objectives within the context and pacing of a content area class was accomplished, but it required providing a collaborative learning environment, an appropriate task, mediating tools, and assessment. The data analysis suggests that the instructional strategy of student-authored eModules had a positive impact on learning science content and ICT proficiencies. Historically students have been consumers of interactive media or producers of presentational media. This study suggests that they will learn more when they are the authors of interactive media.

Zebra finch mates use their forebrain song system in unlearned call communication.

PubMed

Ter Maat, Andries; Trost, Lisa; Sagunsky, Hannes; Seltmann, Susanne; Gahr, Manfred

2014-01-01

Unlearned calls are produced by all birds whereas learned songs are only found in three avian taxa, most notably in songbirds. The neural basis for song learning and production is formed by interconnected song nuclei: the song control system. In addition to song, zebra finches produce large numbers of soft, unlearned calls, among which "stack" calls are uttered frequently. To determine unequivocally the calls produced by each member of a group, we mounted miniature wireless microphones on each zebra finch. We find that group living paired males and females communicate using bilateral stack calling. To investigate the role of the song control system in call-based male female communication, we recorded the electrical activity in a premotor nucleus of the song control system in freely behaving male birds. The unique combination of acoustic monitoring together with wireless brain recording of individual zebra finches in groups shows that the neuronal activity of the song system correlates with the production of unlearned stack calls. The results suggest that the song system evolved from a brain circuit controlling simple unlearned calls to a system capable of producing acoustically rich, learned vocalizations.

Zebra Finch Mates Use Their Forebrain Song System in Unlearned Call Communication

PubMed Central

Ter Maat, Andries; Trost, Lisa; Sagunsky, Hannes; Seltmann, Susanne; Gahr, Manfred

2014-01-01

Unlearned calls are produced by all birds whereas learned songs are only found in three avian taxa, most notably in songbirds. The neural basis for song learning and production is formed by interconnected song nuclei: the song control system. In addition to song, zebra finches produce large numbers of soft, unlearned calls, among which “stack” calls are uttered frequently. To determine unequivocally the calls produced by each member of a group, we mounted miniature wireless microphones on each zebra finch. We find that group living paired males and females communicate using bilateral stack calling. To investigate the role of the song control system in call-based male female communication, we recorded the electrical activity in a premotor nucleus of the song control system in freely behaving male birds. The unique combination of acoustic monitoring together with wireless brain recording of individual zebra finches in groups shows that the neuronal activity of the song system correlates with the production of unlearned stack calls. The results suggest that the song system evolved from a brain circuit controlling simple unlearned calls to a system capable of producing acoustically rich, learned vocalizations. PMID:25313846

A Sample Data Publication: Interactive Access, Analysis and Display of Remotely Stored Datasets From Hurricane Charley

NASA Astrophysics Data System (ADS)

Weber, J.; Domenico, B.

2004-12-01

This paper is an example of what we call data interactive publications. With a properly configured workstation, the readers can click on "hotspots" in the document that launches an interactive analysis tool called the Unidata Integrated Data Viewer (IDV). The IDV will enable the readers to access, analyze and display datasets on remote servers as well as documents describing them. Beyond the parameters and datasets initially configured into the paper, the analysis tool will have access to all the other dataset parameters as well as to a host of other datasets on remote servers. These data interactive publications are built on top of several data delivery, access, discovery, and visualization tools developed by Unidata and its partner organizations. For purposes of illustrating this integrative technology, we will use data from the event of Hurricane Charley over Florida from August 13-15, 2004. This event illustrates how components of this process fit together. The Local Data Manager (LDM), Open-source Project for a Network Data Access Protocol (OPeNDAP) and Abstract Data Distribution Environment (ADDE) services, Thematic Realtime Environmental Distributed Data Service (THREDDS) cataloging services, and the IDV are highlighted in this example of a publication with embedded pointers for accessing and interacting with remote datasets. An important objective of this paper is to illustrate how these integrated technologies foster the creation of documents that allow the reader to learn the scientific concepts by direct interaction with illustrative datasets, and help build a framework for integrated Earth System science.

Designing a Web-Based Science Learning Environment for Model-Based Collaborative Inquiry

NASA Astrophysics Data System (ADS)

Sun, Daner; Looi, Chee-Kit

2013-02-01

The paper traces a research process in the design and development of a science learning environment called WiMVT (web-based inquirer with modeling and visualization technology). The WiMVT system is designed to help secondary school students build a sophisticated understanding of scientific conceptions, and the science inquiry process, as well as develop critical learning skills through model-based collaborative inquiry approach. It is intended to support collaborative inquiry, real-time social interaction, progressive modeling, and to provide multiple sources of scaffolding for students. We first discuss the theoretical underpinnings for synthesizing the WiMVT design framework, introduce the components and features of the system, and describe the proposed work flow of WiMVT instruction. We also elucidate our research approach that supports the development of the system. Finally, the findings of a pilot study are briefly presented to demonstrate of the potential for learning efficacy of the WiMVT implementation in science learning. Implications are drawn on how to improve the existing system, refine teaching strategies and provide feedback to researchers, designers and teachers. This pilot study informs designers like us on how to narrow the gap between the learning environment's intended design and its actual usage in the classroom.

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

NASA Astrophysics Data System (ADS)

Frezzo, Dennis C.; Behrens, John T.; Mislevy, Robert J.

2010-04-01

Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are meant to be developed, in order to design activities that target these capabilities. The challenges of using simulation environments effectively are especially daunting in dispersed social systems. This article describes how these challenges were addressed in the context of the Cisco Networking Academies with a simulation tool for computer networks called Packet Tracer. The focus is on a conceptual support framework for instructors in over 9,000 institutions around the world for using Packet Tracer in instruction and assessment, by learning to create problem-solving scenarios that are at once tuned to the local needs of their students and consistent with the epistemic frame of "thinking like a network engineer." We describe a layered framework of tools and interfaces above the network simulator that supports the use of Packet Tracer in the distributed community of instructors and students.

Quality in E-Learning: A Framework for Promoting and Assuring Quality in Virtual Institutions

ERIC Educational Resources Information Center

Masoumi, D.; Lindstrom, B.

2012-01-01

With the growing demand for e-learning along with striving for excellence associated with globalization, there are worldwide calls for enhancing and assuring quality in e-learning, specifically in the context of the developing countries. Such calls for quality enhancement, accountability, added value, value for money, self-evaluation, and role…

Evaluation of Hybrid Learning in a Construction Engineering Context: A Mixed-Method Approach

ERIC Educational Resources Information Center

Karabulut-Ilgu, Aliye; Jahren, Charles

2016-01-01

Engineering educators call for a widespread implementation of hybrid learning to respond to rapidly changing demands of the 21st century. In response to this call, a junior-level course in the Construction Engineering program entitled Construction Equipment and Heavy Construction Methods was converted into a hybrid learning model. The overarching…

Advancing Civic Learning and Engagement in Democracy: A Road Map and Call to Action

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

Today, the U.S. Department of Education joins the National Task Force on Civic Learning and Democratic Engagement, the American Commonwealth Partnership, and the Campaign for the Civic Mission of Schools in a new national call to action to infuse and enhance civic learning and democratic engagement for all students throughout the American…

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

ERIC Educational Resources Information Center

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…

An Augmented Reality Nanomanipulator for Learning Nanophysics: The "NanoLearner" Platform

NASA Astrophysics Data System (ADS)

Marchi, Florence; Marliere, Sylvain; Florens, Jean Loup; Luciani, Annie; Chevrier, Joel

The work focuses on the description and evaluation of an augmented reality nanomanipulator, called "NanoLearner" platform used as educational tool in practical works of nanophysics. Through virtual reality associated to multisensory renderings, students are immersed in the nanoworld where they can interact in real time with a sample surface or an object, using their senses as hearing, seeing and touching. The role of each sensorial rendering in the understanding and control of the "approach-retract" interaction has been determined thanks to statistical studies obtained during the practical works. Finally, we present two extensions of the use of this innovative tool for investigating nano effects in living organisms and for allowing grand public to have access to a natural understanding of nanophenomena.

AHaH computing-from metastable switches to attractors to machine learning.

PubMed

Nugent, Michael Alexander; Molter, Timothy Wesley

2014-01-01

Modern computing architecture based on the separation of memory and processing leads to a well known problem called the von Neumann bottleneck, a restrictive limit on the data bandwidth between CPU and RAM. This paper introduces a new approach to computing we call AHaH computing where memory and processing are combined. The idea is based on the attractor dynamics of volatile dissipative electronics inspired by biological systems, presenting an attractive alternative architecture that is able to adapt, self-repair, and learn from interactions with the environment. We envision that both von Neumann and AHaH computing architectures will operate together on the same machine, but that the AHaH computing processor may reduce the power consumption and processing time for certain adaptive learning tasks by orders of magnitude. The paper begins by drawing a connection between the properties of volatility, thermodynamics, and Anti-Hebbian and Hebbian (AHaH) plasticity. We show how AHaH synaptic plasticity leads to attractor states that extract the independent components of applied data streams and how they form a computationally complete set of logic functions. After introducing a general memristive device model based on collections of metastable switches, we show how adaptive synaptic weights can be formed from differential pairs of incremental memristors. We also disclose how arrays of synaptic weights can be used to build a neural node circuit operating AHaH plasticity. By configuring the attractor states of the AHaH node in different ways, high level machine learning functions are demonstrated. This includes unsupervised clustering, supervised and unsupervised classification, complex signal prediction, unsupervised robotic actuation and combinatorial optimization of procedures-all key capabilities of biological nervous systems and modern machine learning algorithms with real world application.

AHaH Computing–From Metastable Switches to Attractors to Machine Learning

PubMed Central

Nugent, Michael Alexander; Molter, Timothy Wesley

2014-01-01

Modern computing architecture based on the separation of memory and processing leads to a well known problem called the von Neumann bottleneck, a restrictive limit on the data bandwidth between CPU and RAM. This paper introduces a new approach to computing we call AHaH computing where memory and processing are combined. The idea is based on the attractor dynamics of volatile dissipative electronics inspired by biological systems, presenting an attractive alternative architecture that is able to adapt, self-repair, and learn from interactions with the environment. We envision that both von Neumann and AHaH computing architectures will operate together on the same machine, but that the AHaH computing processor may reduce the power consumption and processing time for certain adaptive learning tasks by orders of magnitude. The paper begins by drawing a connection between the properties of volatility, thermodynamics, and Anti-Hebbian and Hebbian (AHaH) plasticity. We show how AHaH synaptic plasticity leads to attractor states that extract the independent components of applied data streams and how they form a computationally complete set of logic functions. After introducing a general memristive device model based on collections of metastable switches, we show how adaptive synaptic weights can be formed from differential pairs of incremental memristors. We also disclose how arrays of synaptic weights can be used to build a neural node circuit operating AHaH plasticity. By configuring the attractor states of the AHaH node in different ways, high level machine learning functions are demonstrated. This includes unsupervised clustering, supervised and unsupervised classification, complex signal prediction, unsupervised robotic actuation and combinatorial optimization of procedures–all key capabilities of biological nervous systems and modern machine learning algorithms with real world application. PMID:24520315

Challenge of engaging all students via self-paced interactive electronic learning tutorials for introductory physics

NASA Astrophysics Data System (ADS)

DeVore, Seth; Marshman, Emily; Singh, Chandralekha

2017-06-01

As research-based, self-paced electronic learning tools become increasingly available, a critical issue educators encounter is implementing strategies to ensure that all students engage with them as intended. Here, we first discuss the effectiveness of electronic learning tutorials as self-paced learning tools in large enrollment brick and mortar introductory physics courses and then propose a framework for helping students engage effectively with the learning tools. The tutorials were developed via research in physics education and were found to be effective for a diverse group of introductory physics students in one-on-one implementation. Instructors encouraged the use of these tools in a self-paced learning environment by telling students that they would be helpful for solving the assigned homework problems and that the underlying physics principles in the tutorial problems would be similar to those in the in-class quizzes (which we call paired problems). We find that many students in the courses in which these interactive electronic learning tutorials were assigned as a self-study tool performed poorly on the paired problems. In contrast, a majority of student volunteers in one-on-one implementation greatly benefited from the tutorials and performed well on the paired problems. The significantly lower overall performance on paired problems administered as an in-class quiz compared to the performance of student volunteers who used the research-based tutorials in one-on-one implementation suggests that many students enrolled in introductory physics courses did not effectively engage with the tutorials outside of class and may have only used them superficially. The findings suggest that many students in need of out-of-class remediation via self-paced learning tools may have difficulty motivating themselves and may lack the self-regulation and time-management skills to engage effectively with tools specially designed to help them learn at their own pace. We conclude by proposing a theoretical framework to help students with diverse prior preparations engage effectively with self-paced learning tools.

An interdisciplinary learning experience in neuro-optics.

PubMed

Anselmi, Francesca; Bertherat, Julien; Estebanez, Luc; van 't Hoff, Marcel; Zylbersztejn, Kathleen

2012-01-01

How can a Ph.D. student initially trained as a biologist take part in the development of a multineuronal recording method that requires cross interaction between physics, neurobiology and mathematics? Beyond student training in the laboratory, interdisciplinary research calls for a new style of academic training of young researchers. Here we present an innovative approach to graduate student academic training that fills the need for multidisciplinary knowledge and provides students, in addition, with a deeper understanding of the interdisciplinary approach to scientific research. Copyright © 2012 Elsevier Ltd. All rights reserved.

Distributed Control with Collective Intelligence

NASA Technical Reports Server (NTRS)

Wolpert, David H.; Wheeler, Kevin R.; Tumer, Kagan

1998-01-01

We consider systems of interacting reinforcement learning (RL) algorithms that do not work at cross purposes , in that their collective behavior maximizes a global utility function. We call such systems COllective INtelligences (COINs). We present the theory of designing COINs. Then we present experiments validating that theory in the context of two distributed control problems: We show that COINs perform near-optimally in a difficult variant of Arthur's bar problem [Arthur] (and in particular avoid the tragedy of the commons for that problem), and we also illustrate optimal performance in the master-slave problem.

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

PubMed

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

Make the call, don't miss a beat: Heart Attack Information for Women

MedlinePlus

... Other resources Learn more about heart disease and heart attacks. Make the Call, Don't Miss a Beat ... symptoms Learn the 7 most common signs of heart attack in men and women. Chest pain or discomfort " ...

Machine intelligence-based decision-making (MIND) for automatic anomaly detection

NASA Astrophysics Data System (ADS)

Prasad, Nadipuram R.; King, Jason C.; Lu, Thomas

2007-04-01

Any event deemed as being out-of-the-ordinary may be called an anomaly. Anomalies by virtue of their definition are events that occur spontaneously with no prior indication of their existence or appearance. Effects of anomalies are typically unknown until they actually occur, and their effects aggregate in time to show noticeable change from the original behavior. An evolved behavior would in general be very difficult to correct unless the anomalous event that caused such behavior can be detected early, and any consequence attributed to the specific anomaly. Substantial time and effort is required to back-track the cause for abnormal behavior and to recreate the event sequence leading to abnormal behavior. There is a critical need therefore to automatically detect anomalous behavior as and when they may occur, and to do so with the operator in the loop. Human-machine interaction results in better machine learning and a better decision-support mechanism. This is the fundamental concept of intelligent control where machine learning is enhanced by interaction with human operators, and vice versa. The paper discusses a revolutionary framework for the characterization, detection, identification, learning, and modeling of anomalous behavior in observed phenomena arising from a large class of unknown and uncertain dynamical systems.

Minimalist Social-Affective Value for Use in Joint Action: A Neural-Computational Hypothesis

PubMed Central

Lowe, Robert; Almér, Alexander; Lindblad, Gustaf; Gander, Pierre; Michael, John; Vesper, Cordula

2016-01-01

Joint Action is typically described as social interaction that requires coordination among two or more co-actors in order to achieve a common goal. In this article, we put forward a hypothesis for the existence of a neural-computational mechanism of affective valuation that may be critically exploited in Joint Action. Such a mechanism would serve to facilitate coordination between co-actors permitting a reduction of required information. Our hypothesized affective mechanism provides a value function based implementation of Associative Two-Process (ATP) theory that entails the classification of external stimuli according to outcome expectancies. This approach has been used to describe animal and human action that concerns differential outcome expectancies. Until now it has not been applied to social interaction. We describe our Affective ATP model as applied to social learning consistent with an “extended common currency” perspective in the social neuroscience literature. We contrast this to an alternative mechanism that provides an example implementation of the so-called social-specific value perspective. In brief, our Social-Affective ATP mechanism builds upon established formalisms for reinforcement learning (temporal difference learning models) nuanced to accommodate expectations (consistent with ATP theory) and extended to integrate non-social and social cues for use in Joint Action. PMID:27601989

Quick fuzzy backpropagation algorithm.

PubMed

Nikov, A; Stoeva, S

2001-03-01

A modification of the fuzzy backpropagation (FBP) algorithm called QuickFBP algorithm is proposed, where the computation of the net function is significantly quicker. It is proved that the FBP algorithm is of exponential time complexity, while the QuickFBP algorithm is of polynomial time complexity. Convergence conditions of the QuickFBP, resp. the FBP algorithm are defined and proved for: (1) single output neural networks in case of training patterns with different targets; and (2) multiple output neural networks in case of training patterns with equivalued target vector. They support the automation of the weights training process (quasi-unsupervised learning) establishing the target value(s) depending on the network's input values. In these cases the simulation results confirm the convergence of both algorithms. An example with a large-sized neural network illustrates the significantly greater training speed of the QuickFBP rather than the FBP algorithm. The adaptation of an interactive web system to users on the basis of the QuickFBP algorithm is presented. Since the QuickFBP algorithm ensures quasi-unsupervised learning, this implies its broad applicability in areas of adaptive and adaptable interactive systems, data mining, etc. applications.

Bayesian network prior: network analysis of biological data using external knowledge

PubMed Central

Isci, Senol; Dogan, Haluk; Ozturk, Cengizhan; Otu, Hasan H.

2014-01-01

Motivation: Reverse engineering GI networks from experimental data is a challenging task due to the complex nature of the networks and the noise inherent in the data. One way to overcome these hurdles would be incorporating the vast amounts of external biological knowledge when building interaction networks. We propose a framework where GI networks are learned from experimental data using Bayesian networks (BNs) and the incorporation of external knowledge is also done via a BN that we call Bayesian Network Prior (BNP). BNP depicts the relation between various evidence types that contribute to the event ‘gene interaction’ and is used to calculate the probability of a candidate graph (G) in the structure learning process. Results: Our simulation results on synthetic, simulated and real biological data show that the proposed approach can identify the underlying interaction network with high accuracy even when the prior information is distorted and outperforms existing methods. Availability: Accompanying BNP software package is freely available for academic use at http://bioe.bilgi.edu.tr/BNP. Contact: hasan.otu@bilgi.edu.tr Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:24215027

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

ERIC Educational Resources Information Center

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…

At the Crossroads of Learning and Culture: Identifying a Construct for Effective Computer-Assisted Language Learning for English Language Learners

ERIC Educational Resources Information Center

Shaw, Yun

2010-01-01

Many of the commercial Computer-Assisted Language Learning (CALL) programs available today typically take a generic approach. This approach standardizes the program so that it can be used to teach any language merely by translating the content from one language to another. These CALL programs rarely consider the cultural background or preferred…

An Assessment for Learning System Called ACED: Designing for Learning Effectiveness and Accessibility. Research Report. ETS RR-07-26

ERIC Educational Resources Information Center

Shute, Valerie J.; Hansen, Eric G.; Almond, Russell G.

2007-01-01

This paper reports on a 3-year, NSF-funded research and development project called ACED: Adaptive Content with Evidence-based Diagnosis. The purpose of the project was to design, develop, and evaluate an assessment for learning (AfL) system for diverse students, using Algebra I content related to geometric sequences (i.e., successive numbers…

QuickAssist: Reading and Learning Vocabulary Independently with the Help of CALL and NLP Technologies

ERIC Educational Resources Information Center

Wood, Peter

2011-01-01

Independent learning is a buzz word that is often used in connection with computer technologies applied to the area of foreign language instruction. This chapter takes a critical look at some of the stereotypes that exist with regard to computer-assisted language learning (CALL) as a money saver and an easy way to create an "independent"…

Consciousness: the radical plasticity thesis.

PubMed

Cleeremans, Axel

2008-01-01

In this chapter, I sketch a conceptual framework which takes it as a starting point that conscious and unconscious cognition are rooted in the same set of interacting learning mechanisms and representational systems. On this view, the extent to which a representation is conscious depends in a graded manner on properties such as its stability in time or its strength. Crucially, these properties are accrued as a result of learning, which is in turn viewed as a mandatory process that always accompanies information processing. From this perspective, consciousness is best characterized as involving (1) a graded continuum defined over "quality of representation", such that availability to consciousness and to cognitive control correlates with quality, and (2) the implication of systems of metarepresentations. A first implication of these ideas is that the main function of consciousness is to make flexible, adaptive control over behavior possible. A second, much more speculative implication, is that we learn to be conscious. This I call the "radical plasticity thesis"--the hypothesis that consciousness emerges in systems capable not only of learning about their environment, but also about their own internal representations of it.

Improving the quality of cancer care in America through health information technology.

PubMed

Feeley, Thomas W; Sledge, George W; Levit, Laura; Ganz, Patricia A

2014-01-01

A recent report from the Institute of Medicine titled Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis, identifies improvement in information technology (IT) as essential to improving the quality of cancer care in America. The report calls for implementation of a learning healthcare IT system: a system that supports patient-clinician interactions by providing patients and clinicians with the information and tools necessary to make well informed medical decisions and to support quality measurement and improvement. While some elements needed for a learning healthcare system are already in place for cancer, they are incompletely implemented, have functional deficiencies, and are not integrated in a way that creates a true learning healthcare system. To achieve the goal of a learning cancer care delivery system, clinicians, professional organizations, government, and the IT industry will have to partner, develop, and incentivize participation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Learning monopolies with delayed feedback on price expectations

NASA Astrophysics Data System (ADS)

Matsumoto, Akio; Szidarovszky, Ferenc

2015-11-01

We call the intercept of the price function with the vertical axis the maximum price and the slope of the price function the marginal price. In this paper it is assumed that a monopolistic firm has full information about the marginal price and its own cost function but is uncertain on the maximum price. However, by repeated interaction with the market, the obtained price observations give a basis for an adaptive learning process of the maximum price. It is also assumed that the price observations have fixed delays, so the learning process can be described by a delayed differential equation. In the cases of one or two delays, the asymptotic behavior of the resulting dynamic process is examined, stability conditions are derived. Three main results are demonstrated in the two delay learning processes. First, it is possible to stabilize the equilibrium which is unstable in the one delay model. Second, complex dynamics involving chaos, which is impossible in the one delay model, can emerge. Third, alternations of stability and instability (i.e., stability switches) occur repeatedly.

A Study of the Use of Ontologies for Building Computer-Aided Control Engineering Self-Learning Educational Software

NASA Astrophysics Data System (ADS)

García, Isaías; Benavides, Carmen; Alaiz, Héctor; Alonso, Angel

2013-08-01

This paper describes research on the use of knowledge models (ontologies) for building computer-aided educational software in the field of control engineering. Ontologies are able to represent in the computer a very rich conceptual model of a given domain. This model can be used later for a number of purposes in different software applications. In this study, domain ontology about the field of lead-lag compensator design has been built and used for automatic exercise generation, graphical user interface population and interaction with the user at any level of detail, including explanations about why things occur. An application called Onto-CELE (ontology-based control engineering learning environment) uses the ontology for implementing a learning environment that can be used for self and lifelong learning purposes. The experience has shown that the use of knowledge models as the basis for educational software applications is capable of showing students the whole complexity of the analysis and design processes at any level of detail. A practical experience with postgraduate students has shown the mentioned benefits and possibilities of the approach.

Ontogenetic ritualization of primate gesture as a case study in dyadic brain modeling.

PubMed

Gasser, Brad; Cartmill, Erica A; Arbib, Michael A

2014-01-01

This paper introduces dyadic brain modeling - the simultaneous, computational modeling of the brains of two interacting agents - to explore ways in which our understanding of macaque brain circuitry can ground new models of brain mechanisms involved in ape interaction. Specifically, we assess a range of data on gestural communication of great apes as the basis for developing an account of the interactions of two primates engaged in ontogenetic ritualization, a proposed learning mechanism through which a functional action may become a communicative gesture over repeated interactions between two individuals (the 'dyad'). The integration of behavioral, neural, and computational data in dyadic (or, more generally, social) brain modeling has broad application to comparative and evolutionary questions, particularly for the evolutionary origins of cognition and language in the human lineage. We relate this work to the neuroinformatics challenges of integrating and sharing data to support collaboration between primatologists, neuroscientists and modelers that will help speed the emergence of what may be called comparative neuro-primatology.

Deconvolving molecular signatures of interactions between microbial colonies

PubMed Central

Harn, Y.-C.; Powers, M. J.; Shank, E. A.; Jojic, V.

2015-01-01

Motivation: The interactions between microbial colonies through chemical signaling are not well understood. A microbial colony can use different molecules to inhibit or accelerate the growth of other colonies. A better understanding of the molecules involved in these interactions could lead to advancements in health and medicine. Imaging mass spectrometry (IMS) applied to co-cultured microbial communities aims to capture the spatial characteristics of the colonies’ molecular fingerprints. These data are high-dimensional and require computational analysis methods to interpret. Results: Here, we present a dictionary learning method that deconvolves spectra of different molecules from IMS data. We call this method MOLecular Dictionary Learning (MOLDL). Unlike standard dictionary learning methods which assume Gaussian-distributed data, our method uses the Poisson distribution to capture the count nature of the mass spectrometry data. Also, our method incorporates universally applicable information on common ion types of molecules in MALDI mass spectrometry. This greatly reduces model parameterization and increases deconvolution accuracy by eliminating spurious solutions. Moreover, our method leverages the spatial nature of IMS data by assuming that nearby locations share similar abundances, thus avoiding overfitting to noise. Tests on simulated datasets show that this method has good performance in recovering molecule dictionaries. We also tested our method on real data measured on a microbial community composed of two species. We confirmed through follow-up validation experiments that our method recovered true and complete signatures of molecules. These results indicate that our method can discover molecules in IMS data reliably, and hence can help advance the study of interaction of microbial colonies. Availability and implementation: The code used in this paper is available at: https://github.com/frizfealer/IMS_project. Contact: vjojic@cs.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:26072476

Cooperative Learning Groups and the Evolution of Human Adaptability : (Another Reason) Why Hermits Are Rare in Tonga and Elsewhere.

PubMed

Bell, Adrian Viliami; Hernandez, Daniel

2017-03-01

Understanding the prevalence of adaptive culture in part requires understanding the dynamics of learning. Here we explore the adaptive value of social learning in groups and how formal social groups function as effective mediums of information exchange. We discuss the education literature on Cooperative Learning Groups (CLGs), which outlines the potential of group learning for enhancing learning outcomes. Four qualities appear essential for CLGs to enhance learning: (1) extended conversations, (2) regular interactions, (3) gathering of experts, and (4) incentives for sharing knowledge. We analyze these four qualities within the context of a small-scale agricultural society using data we collected in 2010 and 2012. Through an analysis of surveys, interviews, and observations in the Tongan islands, we describe the role CLGs likely plays in facilitating individuals' learning of adaptive information. Our analysis of group affiliation, membership, and topics of conversation suggest that the first three CLG qualities reflect conditions for adaptive learning in groups. We utilize ethnographic anecdotes to suggest the fourth quality is also conducive to adaptive group learning. Using an evolutionary model, we further explore the scope for CLGs outside the Tongan socioecological context. Model analysis shows that environmental volatility and migration rates among human groups mediate the scope for CLGs. We call for wider attention to how group structure facilitates learning in informal settings, which may be key to assessing the contribution of groups to the evolution of complex, adaptive culture.

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

DOT National Transportation Integrated Search

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...

Crossing boundaries in interprofessional education: A call for instructional integration of two script concepts.

PubMed

Kiesewetter, Jan; Kollar, Ingo; Fernandez, Nicolas; Lubarsky, Stuart; Kiessling, Claudia; Fischer, Martin R; Charlin, Bernard

2016-09-01

Clinical work occurs in a context which is heavily influenced by social interactions. The absence of theoretical frameworks underpinning the design of collaborative learning has become a roadblock for interprofessional education (IPE). This article proposes a script-based framework for the design of IPE. This framework provides suggestions for designing learning environments intended to foster competences we feel are fundamental to successful interprofessional care. The current literature describes two script concepts: "illness scripts" and "internal/external collaboration scripts". Illness scripts are specific knowledge structures that link general disease categories and specific examples of diseases. "Internal collaboration scripts" refer to an individual's knowledge about how to interact with others in a social situation. "External collaboration scripts" are instructional scaffolds designed to help groups collaborate. Instructional research relating to illness scripts and internal collaboration scripts supports (a) putting learners in authentic situations in which they need to engage in clinical reasoning, and (b) scaffolding their interaction with others with "external collaboration scripts". Thus, well-established experiential instructional approaches should be combined with more fine-grained script-based scaffolding approaches. The resulting script-based framework offers instructional designers insights into how students can be supported to develop the necessary skills to master complex interprofessional clinical situations.

Dual-Schemata Model

NASA Astrophysics Data System (ADS)

Taniguchi, Tadahiro; Sawaragi, Tetsuo

In this paper, a new machine-learning method, called Dual-Schemata model, is presented. Dual-Schemata model is a kind of self-organizational machine learning methods for an autonomous robot interacting with an unknown dynamical environment. This is based on Piaget's Schema model, that is a classical psychological model to explain memory and cognitive development of human beings. Our Dual-Schemata model is developed as a computational model of Piaget's Schema model, especially focusing on sensori-motor developing period. This developmental process is characterized by a couple of two mutually-interacting dynamics; one is a dynamics formed by assimilation and accommodation, and the other dynamics is formed by equilibration and differentiation. By these dynamics schema system enables an agent to act well in a real world. This schema's differentiation process corresponds to a symbol formation process occurring within an autonomous agent when it interacts with an unknown, dynamically changing environment. Experiment results obtained from an autonomous facial robot in which our model is embedded are presented; an autonomous facial robot becomes able to chase a ball moving in various ways without any rewards nor teaching signals from outside. Moreover, emergence of concepts on the target movements within a robot is shown and discussed in terms of fuzzy logics on set-subset inclusive relationships.

Procedural learning and associative memory mechanisms contribute to contextual cueing: Evidence from fMRI and eye-tracking

PubMed Central

Manelis, Anna; Reder, Lynne M.

2012-01-01

Using a combination of eye tracking and fMRI in a contextual cueing task, we explored the mechanisms underlying the facilitation of visual search for repeated spatial configurations. When configurations of distractors were repeated, greater activation in the right hippocampus corresponded to greater reductions in the number of saccades to locate the target. A psychophysiological interactions analysis for repeated configurations revealed that a strong functional connectivity between this area in the right hippocampus and the left superior parietal lobule early in learning was significantly reduced toward the end of the task. Practice related changes (which we call “procedural learning”) in activation in temporo-occipital and parietal brain regions depended on whether or not spatial context was repeated. We conclude that context repetition facilitates visual search through chunk formation that reduces the number of effective distractors that have to be processed during the search. Context repetition influences procedural learning in a way that allows for continuous and effective chunk updating. PMID:23073642

The Interactions of Relationships, Interest, and Self-Efficacy in Undergraduate Physics

NASA Astrophysics Data System (ADS)

Dou, Remy

This collected papers dissertation explores students' academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology, engineering, and mathematics (STEM) careers. Self-efficacy and interest are factors that play prominent roles in popular, evidence-based, career theories, including the Social cognitive career theory (SCCT) and the identity framework. Understanding how these constructs develop in light of the most pervasive characteristic of the active learning introductory physics classroom (i.e., peer-to-peer interactions) has implications on how students learn in a variety of introductory STEM classrooms and settings structured after constructivist and sociocultural learning theories. I collected data related to students' in-class interactions using the tools of social network analysis (SNA). Social network analysis has recently been shown to be an effective and useful way to examine the structure of student relationships that develop in and out of STEM classrooms. This set of studies furthers the implementation of SNA as a tool to examine self-efficacy and interest formation in the active learning physics classroom. Here I represent a variety of statistical applications of SNA, including bootstrapped linear regression (Chapter 2), structural equation modeling (Chapter 3), and hierarchical linear modeling for longitudinal analyses (Chapter 4). Self-efficacy data were collected using the Sources of Self-Efficacy for Science Courses - Physics survey (SOSESC-P), and interest data were collected using the physics identity survey. Data for these studies came from the Modeling Instruction sections of Introductory Physics with Calculus offered at Florida International University in the fall of 2014 and 2015. Analyses support the idea that students' perceptions of one another impact the development of their social network centrality, which in turn affects their self-efficacy building experiences and their overall self-efficacy. It was shown that unlike career theories that emphasize causal relationships between the development of self-efficacy and the subsequent growth of student interest, in this context student interest takes precedence before the development of student self-efficacy. This outcome also has various implications for career theories.

Comparing the performance and preference of students experiencing a Reading Aloud Accommodation to those who do not on a virtual science assessment

NASA Astrophysics Data System (ADS)

Shelton, Angela

Many United States secondary students perform poorly on standardized summative science assessments. Situated Assessments using Virtual Environments (SAVE) Science is an innovative assessment project that seeks to capture students' science knowledge and understanding by contextualizing problems in a game-based virtual environment called Scientopolis. Within Scientopolis, students use an "avatar" to interact with non-player characters (NPCs), artifacts, embedded clues and "sci-tools" in order to help solve the problems of the townspeople. In an attempt to increase students' success on assessments, SAVE science places students in an environment where they can use their inquiry skills to solve problems instead of reading long passages which attempt to contextualize questions but ultimately cause construct-irrelevant variance. However, within these assessments reading is still required to access the test questions and character interactions. This dissertation explores how students' in-world performances differ when exposed to a Reading Aloud Accommodation (RAA) treatment in comparison to a control group. Student perceptions of the treatment are also evaluated. While a RAA is typically available for students with learning disabilities or English language learners, within this study, all students were randomly assigned to either the treatment or control, regardless of any demographic factors or learning barriers. The theories of Universal design for learning and brain-based learning advocate for multiple ways for students to engage, comprehend, and illustrate their content knowledge. Further, through providing more ways for students to interact with content, all students should benefit, not just those with learning disabilities. Students in the experimental group listened to the NPCs speak the dialogue that provides them with the problem, clues, and assessment questions, instead of relying on reading skills to gather the information. Overall, students in the treatment group statistically outperformed those in the control. Student perceptions of using the reading aloud accommodation were generally positive. Ideas for future research are presented to investigate the accommodation further.

Simulation system of arrhythmia using ActiveX control.

PubMed

Takeuchi, Akihiro; Hirose, Minoru; Hamada, Atsushi; Ikeda, Noriaki

2005-07-01

A simulation system for arrhythmias has been developed using Windows-based software technology, ActiveX control. The cardiac module consists of six cells, the sinus, atrium, AV node, ventricle, and ectopic foci. The physiological properties of the cells, the automaticity and conduction delay, were modelled, respectively, by the phase response curve and the excitability recovery curve. Cell functions were implemented in the ActiveX control and incorporated into the cardiac module. The system draws the ECG sequence as a ladder diagram in real time. The system interactively shows diverse arrhythmias for various user settings of the cell function and bidirectional conduction between the cells. Users are able to experiment virtually by setting up a so-called electrophysiological stimulation. This system is useful for learning and for teaching the interaction between the cells and arrhythmias.

Shifting the paradigm of music instruction: implications of embodiment stemming from an augmented reality guitar learning system

PubMed Central

Keebler, Joseph R.; Wiltshire, Travis J.; Smith, Dustin C.; Fiore, Stephen M.; Bedwell, Jeffrey S.

2014-01-01

Musical instruction often includes materials that can act as a barrier to learning. New technologies using augmented reality may aid in reducing the initial difficulties involved in learning music by lowering these barriers characteristic of traditional instructional materials. Therefore, this set of studies examined a novel augmented reality guitar learning system (i.e., the Fretlight® guitar) in regards to current theories of embodied music cognition. Specifically, we examined the effects of using this system in comparison to a standard instructional material (i.e., diagrams). First, we review major theories related to musical embodiment and specify a niche within this research space we call embodied music technology for learning. Following, we explicate two parallel experiments that were conducted to address the learning effects of this system. Experiment 1 examined short-term learning effects within one experimental session, while Experiment 2 examined both short-term and long-term effects across two sessions spaced at a 2-week interval. Analyses demonstrated that, for many of our dependent variables, all participants increased in performance across time. Further, the Fretlight® condition consistently led to significantly better outcomes via interactive effects, including significantly better long term retention for the learned information across a 2 week time interval. These results are discussed in the context of embodied cognition theory as it relates to music. Potential limitations and avenues for future research are described. PMID:24999334

A Can of Coke Leads to a Piece of Pi: A Professional Development Exercise for Educators Is an Adaptable Math Lesson for Many Grades

ERIC Educational Resources Information Center

Burns, Marilyn

2004-01-01

Teaching teachers to become observers and inquirers into mathematics will help change how they teach math to students. Essential to all professional development in mathematics is the idea that making sense of mathematics is key to learning. Just as learning to read calls for bringing meaning to the printed page, learning math calls for bringing…

Essentials of Suggestopedia: A Primer for Practitioners.

ERIC Educational Resources Information Center

Caskey, Owen L.; Flake, Muriel H.

Suggestology is the scientific study of the psychology of suggestion and Suggestopedia in the application of relaxation and suggestion techniques to learning. The approach applied to learning processes (called Suggestopedic) developed by Dr. Georgi Lozanov (called the Lozanov Method) utilizes mental and physical relaxation, deep breathing,…

Computer-automated dementia screening using a touch-tone telephone.

PubMed

Mundt, J C; Ferber, K L; Rizzo, M; Greist, J H

2001-11-12

This study investigated the sensitivity and specificity of a computer-automated telephone system to evaluate cognitive impairment in elderly callers to identify signs of early dementia. The Clinical Dementia Rating Scale was used to assess 155 subjects aged 56 to 93 years (n = 74, 27, 42, and 12, with a Clinical Dementia Rating Scale score of 0, 0.5, 1, and 2, respectively). These subjects performed a battery of tests administered by an interactive voice response system using standard Touch-Tone telephones. Seventy-four collateral informants also completed an interactive voice response version of the Symptoms of Dementia Screener. Sixteen cognitively impaired subjects were unable to complete the telephone call. Performances on 6 of 8 tasks were significantly influenced by Clinical Dementia Rating Scale status. The mean (SD) call length was 12 minutes 27 seconds (2 minutes 32 seconds). A subsample (n = 116) was analyzed using machine-learning methods, producing a scoring algorithm that combined performances across 4 tasks. Results indicated a potential sensitivity of 82.0% and specificity of 85.5%. The scoring model generalized to a validation subsample (n = 39), producing 85.0% sensitivity and 78.9% specificity. The kappa agreement between predicted and actual group membership was 0.64 (P<.001). Of the 16 subjects unable to complete the call, 11 provided sufficient information to permit us to classify them as impaired. Standard scoring of the interactive voice response-administered Symptoms of Dementia Screener (completed by informants) produced a screening sensitivity of 63.5% and 100% specificity. A lower criterion found a 90.4% sensitivity, without lowering specificity. Computer-automated telephone screening for early dementia using either informant or direct assessment is feasible. Such systems could provide wide-scale, cost-effective screening, education, and referral services to patients and caregivers.

Toward interactive search in remote sensing imagery

DOE Office of Scientific and Technical Information (OSTI.GOV)

Porter, Reid B; Hush, Do; Harvey, Neal

2010-01-01

To move from data to information in almost all science and defense applications requires a human-in-the-loop to validate information products, resolve inconsistencies, and account for incomplete and potentially deceptive sources of information. This is a key motivation for visual analytics which aims to develop techniques that complement and empower human users. By contrast, the vast majority of algorithms developed in machine learning aim to replace human users in data exploitation. In this paper we describe a recently introduced machine learning problem, called rare category detection, which may be a better match to visual analytic environments. We describe a new designmore » criteria for this problem, and present comparisons to existing techniques with both synthetic and real-world datasets. We conclude by describing an application in broad-area search of remote sensing imagery.« less

On the Use of a Student Response System and Peer Tutors in Team Learning at the University of Kansas

NASA Astrophysics Data System (ADS)

Shawl, S. J.

2004-05-01

The author has used peer tutors as an important component of his teaching of "Astro 101" since the late 1970's. The ways in which the students in "Astro 101" gain from them, the ways in which the peer tutors themselves gain from the experience, and the ways in which the instructor benefits from the peer tutors will be briefly discussed. A computerized student response system (specifically the HyperInteractive Teaching Technology system: www.h-itt.com) replaced a previously used analog system beginning in the spring 2003 semester. The system has been used both for graded group-based reading quizzes and for in-class questions during the class period. They have been integrated into class within a pedagogical model called "Team Learning," which will be briefly described.

The Innovative Immersion of Mobile Learning into a Science Curriculum in Singapore: an Exploratory Study

NASA Astrophysics Data System (ADS)

Sun, Daner; Looi, Chee-Kit; Wu, Longkai; Xie, Wenting

2016-08-01

With advancements made in mobile technology, increasing emphasis has been paid to how to leverage the affordances of mobile technology to improve science learning and instruction. This paper reports on a science curriculum supported by an inquiry-based framework and mobile technologies. It was developed by teachers and researchers in a multiyear program of school-based research. The foci of this paper is on the design principles of the curriculum and its enactment, and the establishment of a teacher learning community. Through elucidating the design features of the innovative curriculum and evaluating teacher and student involvement in science instruction and learning, we introduce the science curriculum, called Mobilized 5E Science Curriculum (M5ESC), and present a representative case study of how one experienced teacher and her class adopted the curriculum. The findings indicate the intervention promoted this teacher's questioning competency, enabled her to interact with students frequently and flexibly in class, and supported her technology use for promoting different levels of cognition. Student learning was also improved in terms of test achievement and activity performance in and out of the classroom. We propose that the study can be used to guide the learning design of mobile technology-supported curricula, as well as teacher professional development for curriculum enactment.

The accuracy of ab initio calculations without ab initio calculations for charged systems: Kriging predictions of atomistic properties for ions in aqueous solutions

NASA Astrophysics Data System (ADS)

Di Pasquale, Nicodemo; Davie, Stuart J.; Popelier, Paul L. A.

2018-06-01

Using the machine learning method kriging, we predict the energies of atoms in ion-water clusters, consisting of either Cl- or Na+ surrounded by a number of water molecules (i.e., without Na+Cl- interaction). These atomic energies are calculated following the topological energy partitioning method called Interacting Quantum Atoms (IQAs). Kriging predicts atomic properties (in this case IQA energies) by a model that has been trained over a small set of geometries with known property values. The results presented here are part of the development of an advanced type of force field, called FFLUX, which offers quantum mechanical information to molecular dynamics simulations without the limiting computational cost of ab initio calculations. The results reported for the prediction of the IQA components of the energy in the test set exhibit an accuracy of a few kJ/mol, corresponding to an average error of less than 5%, even when a large cluster of water molecules surrounding an ion is considered. Ions represent an important chemical system and this work shows that they can be correctly taken into account in the framework of the FFLUX force field.

Impact of Cold-Calling on Student Voluntary Participation

ERIC Educational Resources Information Center

Dallimore, Elise J.; Hertenstein, Julie H.; Platt, Marjorie B.

2013-01-01

Classroom discussion is perhaps the most frequently used "active learning" strategy. However, instructors are often concerned about students who are less inclined to participate voluntarily. They worry that students not involved in the discussion might have lower quality learning experiences. Although instructors might consider whether to call on…

Rethinking Transfer: Learning from CALL Teacher Education as Consequential Transition

ERIC Educational Resources Information Center

Chao, Chin-chi

2015-01-01

Behind CALL teacher education (CTE) there is an unproblematized consensus of transfer, which suggests a positivist and tool-centered view of learning gains that differs from the sociocultural focus of recent teacher education research. Drawing on Beach's (2003) conceptualization of transfer as "consequential transition," this qualitative…

Integration of Computers into an EFL Reading Classroom

ERIC Educational Resources Information Center

Lim, Kang-Mi; Shen, Hui Zhong

2006-01-01

This study examined the impact of Computer Assisted Language Learning (CALL) on Korean TAFE (Technical and Further Education) college students in an English as a Foreign Language (EFL) reading classroom in terms of their perceptions of learning environment and their reading performance. The study compared CALL and traditional reading classes over…

A New Engine for Schools: The Flexible Scheduling Paradigm

ERIC Educational Resources Information Center

Snyder, Yaakov; Herer, Yale T.; Moore, Michael

2012-01-01

We present a new approach for the organization of schools, which we call the flexible scheduling paradigm (FSP). FSP improves student learning by dynamically redeploying teachers and other pedagogical resources to provide students with customized learning conditions over shorter time periods called "mini-terms" instead of semesters or years. By…

Education and learning: what's on the horizon?

PubMed

Pilcher, Jobeth

2014-01-01

Numerous organizations have called for significant changes in education for health care professionals. The call has included the need to incorporate evidence-based as well as innovative strategies. Previous articles in this column have focused primarily on evidence-based teaching strategies, including concept mapping, brain-based learning strategies, methods of competency assessment, and so forth. This article shifts the focus to new ways of thinking about knowledge and education. The article will also introduce evolving, innovative, less commonly used learning strategies and provide a peek into the future of learning.

Motor Learning Enhances Use-Dependent Plasticity

PubMed Central

2017-01-01

Motor behaviors are shaped not only by current sensory signals but also by the history of recent experiences. For instance, repeated movements toward a particular target bias the subsequent movements toward that target direction. This process, called use-dependent plasticity (UDP), is considered a basic and goal-independent way of forming motor memories. Most studies consider movement history as the critical component that leads to UDP (Classen et al., 1998; Verstynen and Sabes, 2011). However, the effects of learning (i.e., improved performance) on UDP during movement repetition have not been investigated. Here, we used transcranial magnetic stimulation in two experiments to assess plasticity changes occurring in the primary motor cortex after individuals repeated reinforced and nonreinforced actions. The first experiment assessed whether learning a skill task modulates UDP. We found that a group that successfully learned the skill task showed greater UDP than a group that did not accumulate learning, but made comparable repeated actions. The second experiment aimed to understand the role of reinforcement learning in UDP while controlling for reward magnitude and action kinematics. We found that providing subjects with a binary reward without visual feedback of the cursor led to increased UDP effects. Subjects in the group that received comparable reward not associated with their actions maintained the previously induced UDP. Our findings illustrate how reinforcing consistent actions strengthens use-dependent memories and provide insight into operant mechanisms that modulate plastic changes in the motor cortex. SIGNIFICANCE STATEMENT Performing consistent motor actions induces use-dependent plastic changes in the motor cortex. This plasticity reflects one of the basic forms of human motor learning. Past studies assumed that this form of learning is exclusively affected by repetition of actions. However, here we showed that success-based reinforcement signals could affect the human use-dependent plasticity (UDP) process. Our results indicate that learning augments and interacts with UDP. This effect is important to the understanding of the interplay between the different forms of motor learning and suggests that reinforcement is not only important to learning new behaviors, but can shape our subsequent behavior via its interaction with UDP. PMID:28143961

Fortran graphics routines for the Macintosh

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shore, B.W.

1992-06-01

The Language Systems MPW Fortran is a popular Fortran compiler for the Macintosh. Unfortunately, it does not have any built-in calls to graphics routines (such as are available with Graflib on the NLTSS), so there is no simple way to make x-y plots from calls within Fortran. Instead, a file of data must be created and a commercial plotting routine (such as IGOR or KALEIDAGRAPH) or a spreadsheet with graphics (such as WINGZ) must be applied to post-process the data. The Macintosh does have available many built-in calls (to the Macintosh Toolbox) that allow drawing shapes and lines with quickdraw,more » but these are not designed for plotting functions and are difficult to learn to use. This work outlines some Fortran routines that can be called from LS Fortran to make the necessary calls to the Macintosh toolbox to create simple two-dimensional plots or contour plots. The source code DEMOGRAF.F shows how these routines may be used. DEMOGRAF.F simply demonstrates some Fortran subroutines that can be called with language systems MPW Fortran on the Macintosh to plot arrays of numbers. The subroutines essentially mimic the functionality that has been available at LTSS and NLTSS and UNICOS at LLNL. The graphics primitives are kept in four separate files, each containing several subroutines. The subroutines are compiled and stored in a library file, LIBgraf.o. Makefile is used to link this library to the source code. A discussion is included on requirements for interactive plotting of functions.« less

EngineSim: Turbojet Engine Simulator Adapted for High School Classroom Use

NASA Technical Reports Server (NTRS)

Petersen, Ruth A.

2001-01-01

EngineSim is an interactive educational computer program that allows users to explore the effect of engine operation on total aircraft performance. The software is supported by a basic propulsion web site called the Beginner's Guide to Propulsion, which includes educator-created, web-based activities for the classroom use of EngineSim. In addition, educators can schedule videoconferencing workshops in which EngineSim's creator demonstrates the software and discusses its use in the educational setting. This software is a product of NASA Glenn Research Center's Learning Technologies Project, an educational outreach initiative within the High Performance Computing and Communications Program.

Experiments in Natural and Synthetic Dental Materials: A Mouthful of Experiments

NASA Technical Reports Server (NTRS)

Masi, James V.

1996-01-01

The objectives of these experiments are to show that the area of biomaterials, especially dental materials (natural and synthetic), contain all of the elements of good and bad design, with the caveat that a person's health is directly involved. The students learn the process of designing materials for the complex interactions in the oral cavity, analyze those already used, and suggest possible solutions to the problems involved with present technology. The N.I.O.S.H. Handbook is used extensively by the students and judgement calls are made, even without extensive biology education.

Active Learning Using Hint Information.

PubMed

Li, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien

2015-08-01

The abundance of real-world data and limited labeling budget calls for active learning, an important learning paradigm for reducing human labeling efforts. Many recently developed active learning algorithms consider both uncertainty and representativeness when making querying decisions. However, exploiting representativeness with uncertainty concurrently usually requires tackling sophisticated and challenging learning tasks, such as clustering. In this letter, we propose a new active learning framework, called hinted sampling, which takes both uncertainty and representativeness into account in a simpler way. We design a novel active learning algorithm within the hinted sampling framework with an extended support vector machine. Experimental results validate that the novel active learning algorithm can result in a better and more stable performance than that achieved by state-of-the-art algorithms. We also show that the hinted sampling framework allows improving another active learning algorithm designed from the transductive support vector machine.

WebIntera-Classroom: An Interaction-Aware Virtual Learning Environment for Augmenting Learning Interactions

ERIC Educational Resources Information Center

Chen, Jingjing; Xu, Jianliang; Tang, Tao; Chen, Rongchao

2017-01-01

Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE--WebIntera-classroom--which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that…

Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI

NASA Astrophysics Data System (ADS)

DSouza, Adora M.; Abidin, Anas Z.; Leistritz, Lutz; Wismüller, Axel

2017-02-01

We investigate the applicability of large-scale Granger Causality (lsGC) for extracting a measure of multivariate information flow between pairs of regional brain activities from resting-state functional MRI (fMRI) and test the effectiveness of these measures for predicting a disease state. Such pairwise multivariate measures of interaction provide high-dimensional representations of connectivity profiles for each subject and are used in a machine learning task to distinguish between healthy controls and individuals presenting with symptoms of HIV Associated Neurocognitive Disorder (HAND). Cognitive impairment in several domains can occur as a result of HIV infection of the central nervous system. The current paradigm for assessing such impairment is through neuropsychological testing. With fMRI data analysis, we aim at non-invasively capturing differences in brain connectivity patterns between healthy subjects and subjects presenting with symptoms of HAND. To classify the extracted interaction patterns among brain regions, we use a prototype-based learning algorithm called Generalized Matrix Learning Vector Quantization (GMLVQ). Our approach to characterize connectivity using lsGC followed by GMLVQ for subsequent classification yields good prediction results with an accuracy of 87% and an area under the ROC curve (AUC) of up to 0.90. We obtain a statistically significant improvement (p<0.01) over a conventional Granger causality approach (accuracy = 0.76, AUC = 0.74). High accuracy and AUC values using our multivariate method to connectivity analysis suggests that our approach is able to better capture changes in interaction patterns between different brain regions when compared to conventional Granger causality analysis known from the literature.

Flipping Radiology Education Right Side Up.

PubMed

O'Connor, Erin E; Fried, Jessica; McNulty, Nancy; Shah, Pallav; Hogg, Jeffery P; Lewis, Petra; Zeffiro, Thomas; Agarwal, Vikas; Reddy, Sravanthi

2016-07-01

In flipped learning, medical students independently learn facts and concepts outside the classroom, and then participate in interactive classes to learn to apply these facts. Although there are recent calls for medical education reform using flipped learning, little has been published on its effectiveness. Our study compares the effects of flipped learning to traditional didactic instruction on students' academic achievement, task value, and achievement emotions. At three institutions, we alternated flipped learning with traditional didactic lectures during radiology clerkships, with 175 medical students completing a pretest on general diagnostic imaging knowledge to assess baseline cohort comparability. Following instruction, posttests and survey examinations of task value and achievement emotions were administered. Linear mixed effects analysis was used to examine the relationship between test scores and instruction type. Survey responses were modeled using ordinal category logistic regression. Instructor surveys were also collected. There were no baseline differences in test scores. Mean posttest minus pretest scores were 10.5% higher in the flipped learning group than in the didactic instruction group (P = 0.013). Assessment of task value and achievement emotions showed greater task value, increased enjoyment, and decreased boredom with flipped learning (all P < 0.01). All instructors preferred the flipped learning condition. Flipped learning was associated with increased academic achievement, greater task value, and more positive achievement emotions when compared to traditional didactic instruction. Further investigation of flipped learning methods in radiology education is needed to determine whether flipped learning improves long-term retention of knowledge, academic success, and patient care. Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Investigating 6th graders' use of a tablet-based app supporting synchronous use of multiple tools designed to promote collaborative knowledge building in science

NASA Astrophysics Data System (ADS)

Sherwood, Carrie-Anne

At this pivotal moment in time, when the proliferation of mobile technologies in our daily lives is influencing the relatively fast integration of these technologies into classrooms, there is little known about the process of student learning, and the role of collaboration, with app-based learning environments on mobile devices. To address this gap, this dissertation, comprised of three manuscripts, investigated three pairs of sixth grade students' synchronous collaborative use of a tablet-based science app called WeInvestigate . The first paper illustrated the methodological decisions necessary to conduct the study of student synchronous and face-to-face collaboration and knowledge building within the complex WeInvestigate and classroom learning environments. The second paper provided the theory of collaboration that guided the design of supports in WeInvestigate, and described its subsequent development. The third paper detailed the interactions between pairs of students as they engaged collaboratively in model construction and explanation tasks using WeInvestigate, hypothesizing connections between these interactions and the designed supports for collaboration. Together, these manuscripts provide encouraging evidence regarding the potential of teaching and learning with WeInvestigate. Findings demonstrated that the students in this study learned science through WeInvestigate , and were supported by the app - particularly the collabrification - to engage in collaborative modeling of phenomena. The findings also highlight the potential of the multiple methods used in this study to understand students' face-to-face and technology-based interactions within the "messy" context of an app-based learning environment and a traditional K-12 classroom. However, as the third manuscript most clearly illustrates, there are still a number of modifications to be made to the WeInvestigate technology before it can be optimally used in classrooms to support students' collaborative science endeavors. The findings presented in this dissertation contribute in theoretical, methodological, and applied ways to the fields of science education, educational technology, and the learning sciences, and point to exciting possibilities for future research on students' collaborations using future iterations of WeInvestigate with more embedded supports; comparative studies of students' use of synchronous collaboration; and studies focused on elucidating the role of the teacher using WeInvestigate - and similar mobile platforms - for teaching and learning.

Vocational exploration in an extracurricular technology program for youth with autism.

PubMed

Dunn, Louise; Diener, Marissa; Wright, Cheryl; Wright, Scott; Narumanchi, Amruta

2015-01-01

Within a life span approach, introducing opportunities to explore careers through activities of interest provide ways for children to learn to explore, problem solve, and envision a future for themselves. However, little information exists about programs to promote social engagement and to explore potential career interests for youth with autism. Explore engagement and learning in a technology-based extracurricular program (called iSTAR) for youth with autism. The researchers used a qualitative approach with grounded-theory analysis to explore the processes that contributed to engagement and learning for youth with autism in an technology-based extracurricular program. Youth Centered Learning and Opportunities to Demonstrate Skills emerged as themes that illuminated the processes by which engagement and learning occurred for the youth in the iSTAR program. Interest in the graphics program stimulated interactions amongst the youth with each other and with the adults. Modeling, demonstration, and scaffolded questioning supported engagement and learning for all the youth. Providing structure, encouraging choices, and following the youths' lead provided bridges for sharing and learning about the technology program. Career exploration through use of interests in technology can provide opportunities for youth with autism to develop social and technical skills needed later for employment. Providing an environment that recognizes and builds on the youths' strengths and supports their autonomy and choices are critical components to promote their positive development and career potential.

Discover the pythagorean theorem using interactive multimedia learning

NASA Astrophysics Data System (ADS)

Adhitama, I.; Sujadi, I.; Pramudya, I.

2018-04-01

In learning process students are required to play an active role in learning. They do not just accept the concept directly from teachers, but also build their own knowledge so that the learning process becomes more meaningful. Based on the observation, when learning Pythagorean theorem, students got difficulty on determining hypotenuse. One of the solution to solve this problem is using an interactive multimedia learning. This article aims to discuss the interactive multimedia as learning media for students. This was a Research and Development (R&D) by using ADDIE model of development. The results obtained was multimedia which was developed proper for students as learning media. Besides, on Phytagorian theorem learning activity we also compare Discovery Learning (DL) model with interactive multimedia and DL without interactive multimedia, and obtained that DL with interactive gave positive effect better than DL without interactive multimedia. It was also obtainde that interactive multimedia can attract and increase the interest ot the students on learning math. Therefore, the use of interactive multimedia on DL procees can improve student learning achievement.

Contextual Learning Issues.

ERIC Educational Resources Information Center

1999

This document contains four symposium papers on contextual learning issues. "Learning to Learn Strategies of Successful Real Estate Professionals: Implications for Learning in the Workplace" (Margot B. Weinstein) describes a multicase study in which a model called the Individual Learning System was used to identify the strategies and…

Celebrating the Story of My First Contribution to CALL

ERIC Educational Resources Information Center

Al-Seghayer, Khalid

2016-01-01

In the realm of second language acquisition, investigations of the efficacy of multimedia annotations for learning unknown lexical items has attracted considerable interest during the past decade. This commentary discusses the story of my first contribution to the field of computer-assisted language learning (CALL) 14 years ago. In particular, it…

Using a Value-Added Approach to Assess the Sociology Major

ERIC Educational Resources Information Center

Pedersen, Daphne E.; White, Frank

2011-01-01

Universities across the nation have been called upon to provide evidence of student learning through direct means of assessment. Value-added assessment, which aims to document the development of student learning from the beginning of the university experience to the end, has been called "accountability's new frontier" by the American…

Cloud Computing and Validated Learning for Accelerating Innovation in IoT

ERIC Educational Resources Information Center

Suciu, George; Todoran, Gyorgy; Vulpe, Alexandru; Suciu, Victor; Bulca, Cristina; Cheveresan, Romulus

2015-01-01

Innovation in Internet of Things (IoT) requires more than just creation of technology and use of cloud computing or big data platforms. It requires accelerated commercialization or aptly called go-to-market processes. To successfully accelerate, companies need a new type of product development, the so-called validated learning process.…

A Chatbot for a Dialogue-Based Second Language Learning System

ERIC Educational Resources Information Center

Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil

2017-01-01

This paper presents a chatbot for a Dialogue-Based Computer-Assisted second Language Learning (DB-CALL) system. A DB-CALL system normally leads dialogues by asking questions according to given scenarios. User utterances outside the scenarios are normally considered as semantically improper and simply rejected. In this paper, we assume that raising…

Multiple "Curriculum" Meanings Heighten Debate over Standards

ERIC Educational Resources Information Center

Gewertz, Catherine

2011-01-01

Calls for shared curricula for the common standards have triggered renewed debates about who decides what students learn, and even about varied meanings of the word "curriculum," adding layers of complexity to the job of translating the broad learning goals into classroom teaching. The most recent calls for common curricula came from the American…

The Flipped Classroom: Implementing Technology to Aid in College Mathematics Student's Success

ERIC Educational Resources Information Center

Buch, George R.; Warren, Carryn B.

2017-01-01

August 2016 there was a call (Braun, Bremser, Duval, Lockwood & White, 2017) for post-secondary instructors to use active learning in their classrooms. Once such example of active learning is what is called the "flipped" classroom. This paper presents the need for, and the methodology of the flipped classroom, results of…

Integrating CALL into an Iranian EAP Course: Constraints and Affordances

ERIC Educational Resources Information Center

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…

Future Language Teachers Learning to Become CALL Designers--Methodological Perspectives in Studying Complexity

ERIC Educational Resources Information Center

Keisanen, Tiina; Kuure, Leena

2015-01-01

Language teachers of the future, our current students, live in an increasingly technology-rich world. However, language students do not necessarily see their own digital practices as having relevance for guiding language learning. Research in the fields of CALL and language education more generally indicates that teaching practices change slowly…

Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information.

PubMed

An, Ji-Yong; Zhang, Lei; Zhou, Yong; Zhao, Yu-Jun; Wang, Da-Fu

2017-08-18

Self-interactions Proteins (SIPs) is important for their biological activity owing to the inherent interaction amongst their secondary structures or domains. However, due to the limitations of experimental Self-interactions detection, one major challenge in the study of prediction SIPs is how to exploit computational approaches for SIPs detection based on evolutionary information contained protein sequence. In the work, we presented a novel computational approach named WELM-LAG, which combined the Weighed-Extreme Learning Machine (WELM) classifier with Local Average Group (LAG) to predict SIPs based on protein sequence. The major improvement of our method lies in presenting an effective feature extraction method used to represent candidate Self-interactions proteins by exploring the evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix (PSSM); and then employing a reliable and robust WELM classifier to carry out classification. In addition, the Principal Component Analysis (PCA) approach is used to reduce the impact of noise. The WELM-LAG method gave very high average accuracies of 92.94 and 96.74% on yeast and human datasets, respectively. Meanwhile, we compared it with the state-of-the-art support vector machine (SVM) classifier and other existing methods on human and yeast datasets, respectively. Comparative results indicated that our approach is very promising and may provide a cost-effective alternative for predicting SIPs. In addition, we developed a freely available web server called WELM-LAG-SIPs to predict SIPs. The web server is available at http://219.219.62.123:8888/WELMLAG/ .

ALCF Data Science Program: Productive Data-centric Supercomputing

NASA Astrophysics Data System (ADS)

Romero, Nichols; Vishwanath, Venkatram

The ALCF Data Science Program (ADSP) is targeted at big data science problems that require leadership computing resources. The goal of the program is to explore and improve a variety of computational methods that will enable data-driven discoveries across all scientific disciplines. The projects will focus on data science techniques covering a wide area of discovery including but not limited to uncertainty quantification, statistics, machine learning, deep learning, databases, pattern recognition, image processing, graph analytics, data mining, real-time data analysis, and complex and interactive workflows. Project teams will be among the first to access Theta, ALCFs forthcoming 8.5 petaflops Intel/Cray system. The program will transition to the 200 petaflop/s Aurora supercomputing system when it becomes available. In 2016, four projects have been selected to kick off the ADSP. The selected projects span experimental and computational sciences and range from modeling the brain to discovering new materials for solar-powered windows to simulating collision events at the Large Hadron Collider (LHC). The program will have a regular call for proposals with the next call expected in Spring 2017.http://www.alcf.anl.gov/alcf-data-science-program This research used resources of the ALCF, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

Feature Discovery by Competitive Learning.

ERIC Educational Resources Information Center

Rumelhart, David E.; Zipser, David

1985-01-01

Reports results of studies with an unsupervised learning paradigm called competitive learning which is examined using computer simulation and formal analysis. When competitive learning is applied to parallel networks of neuron-like elements, many potentially useful learning tasks can be accomplished. (Author)

Risk estimation using probability machines

PubMed Central

2014-01-01

Background Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios. Results We show how statistical learning machines for binary outcomes, provably consistent for the nonparametric regression problem, can be used to provide both consistent conditional probability estimation and conditional effect size estimates. Effect size estimates from learning machines leverage our understanding of counterfactual arguments central to the interpretation of such estimates. We show that, if the data generating model is logistic, we can recover accurate probability predictions and effect size estimates with nearly the same efficiency as a correct logistic model, both for main effects and interactions. We also propose a method using learning machines to scan for possible interaction effects quickly and efficiently. Simulations using random forest probability machines are presented. Conclusions The models we propose make no assumptions about the data structure, and capture the patterns in the data by just specifying the predictors involved and not any particular model structure. So they do not run the same risks of model mis-specification and the resultant estimation biases as a logistic model. This methodology, which we call a “risk machine”, will share properties from the statistical machine that it is derived from. PMID:24581306

Risk estimation using probability machines.

PubMed

Dasgupta, Abhijit; Szymczak, Silke; Moore, Jason H; Bailey-Wilson, Joan E; Malley, James D

2014-03-01

Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios. We show how statistical learning machines for binary outcomes, provably consistent for the nonparametric regression problem, can be used to provide both consistent conditional probability estimation and conditional effect size estimates. Effect size estimates from learning machines leverage our understanding of counterfactual arguments central to the interpretation of such estimates. We show that, if the data generating model is logistic, we can recover accurate probability predictions and effect size estimates with nearly the same efficiency as a correct logistic model, both for main effects and interactions. We also propose a method using learning machines to scan for possible interaction effects quickly and efficiently. Simulations using random forest probability machines are presented. The models we propose make no assumptions about the data structure, and capture the patterns in the data by just specifying the predictors involved and not any particular model structure. So they do not run the same risks of model mis-specification and the resultant estimation biases as a logistic model. This methodology, which we call a "risk machine", will share properties from the statistical machine that it is derived from.

Online Scholarly Conversations in General Education Astronomy Courses

NASA Astrophysics Data System (ADS)

Cai, Qijie; Wong, Ka-Wah

2018-01-01

In general education astronomy courses, many students are struggling with understanding the foundational concepts and theories in astronomy. One of the possible reasons is that, due the large class size, many of the courses are taught using a lecture mode, where human interactions and active learning are limited (Freeman et al., 2014). To address this challenge, we have applied the knowledge building framework (Scardamalia & Bereiter, 2006) to design an online collaborative learning component, called Scholarly Conversations, to be integrated into a general education astronomy course at a public, comprehensive university.During Scholarly Conversations, students are treated as scholars to advance knowledge frontiers (Scardamalia & Bereiter, 2006). The whole process involves the creation of new ideas and requires discourse and collective work for the advancement and creation of artifacts, such as theories and models (van Aalst, 2009). Based on the knowledge building principles (Scardamalia, 2002; Zhang, Scardamalia, Reeve, & Messina, 2009), several features have been built into Scholarly Conversations so that students are guided to deepen understanding of the astronomy concepts through three phases: knowledge sharing, knowledge construction and knowledge building, and reflections on learning growth (van Aalst, 2009; Cai, 2017). The online Scholarly Conversation is an extension of the lecture component of the general education astronomy course. It promotes student interactions and collaborative learning, and provides scaffolds for students to construct meanings of the essential concepts in astronomy through social learning and online technology. In this presentation, we will explain the specific design principles of the online Scholarly Conversation, and share the artifacts created to facilitate the online conversations in an general education astronomy course.Note: This project has been supported by the College of Education Research Grant Program at Minnesota State University, Mankato.

Programmatic assessment of competency-based workplace learning: when theory meets practice

PubMed Central

2013-01-01

Background In competency-based medical education emphasis has shifted towards outcomes, capabilities, and learner-centeredness. Together with a focus on sustained evidence of professional competence this calls for new methods of teaching and assessment. Recently, medical educators advocated the use of a holistic, programmatic approach towards assessment. Besides maximum facilitation of learning it should improve the validity and reliability of measurements and documentation of competence development. We explored how, in a competency-based curriculum, current theories on programmatic assessment interacted with educational practice. Methods In a development study including evaluation, we investigated the implementation of a theory-based programme of assessment. Between April 2011 and May 2012 quantitative evaluation data were collected and used to guide group interviews that explored the experiences of students and clinical supervisors with the assessment programme. We coded the transcripts and emerging topics were organised into a list of lessons learned. Results The programme mainly focuses on the integration of learning and assessment by motivating and supporting students to seek and accumulate feedback. The assessment instruments were aligned to cover predefined competencies to enable aggregation of information in a structured and meaningful way. Assessments that were designed as formative learning experiences were increasingly perceived as summative by students. Peer feedback was experienced as a valuable method for formative feedback. Social interaction and external guidance seemed to be of crucial importance to scaffold self-directed learning. Aggregating data from individual assessments into a holistic portfolio judgement required expertise and extensive training and supervision of judges. Conclusions A programme of assessment with low-stakes assessments providing simultaneously formative feedback and input for summative decisions proved not easy to implement. Careful preparation and guidance of the implementation process was crucial. Assessment for learning requires meaningful feedback with each assessment. Special attention should be paid to the quality of feedback at individual assessment moments. Comprehensive attention for faculty development and training for students is essential for the successful implementation of an assessment programme. PMID:24020944

Hands on + hands free: simulated on-call interaction.

PubMed

Fisher, James; Martin, Richard; Tate, David

2014-10-01

In hospital, doctors and nurses frequently discuss acutely unwell patients via the telephone. Telephone communication can be challenging, yet medical students receive little training in how to conduct such interactions. We aimed to provide a simple, innovative, simulation session to address this learning need for third-year medical students at Newcastle University. Groups of students were given a pager and a supervising tutor. Students responded to a 'bleep' from a nurse practitioner in a different room, who role-played a ward nurse concerned about a patient. Speakerphones were used, allowing the entire conversation to be audible. After the call, a student-led debriefing session took place. After the debriefing another student 'held' the bleep and a different scenario ensued. Following a resuscitation scenario, students made telephone contact with the medical registrar to hand over information pertaining to the case. Before and after the session, students rated their confidence in telephone interaction and handover using a 10-point Likert scale. Students also completed a feedback questionnaire. Fifty-four students attended the session. A statistically significant improvement in student confidence in telephone communication and handover was seen after the session. Free-text feedback highlighted that students had not received teaching on this previously, and that they welcomed opportunities to practise such skills within a controlled, safe environment. Simulation training can be costly, but speakerphones are cheap and readily available. Given the frequency of telephone interaction in hospital, we believe all medical students should receive telephone communication training. Locally, our department has now incorporated these teaching methods into simulation sessions elsewhere in the curriculum. Medical students receive little training in how to conduct [telephone] interactions. © 2014 John Wiley & Sons Ltd.

Patterns of call communication between group-housed zebra finches change during the breeding cycle.

PubMed

Gill, Lisa F; Goymann, Wolfgang; Ter Maat, Andries; Gahr, Manfred

2015-10-06

Vocal signals such as calls play a crucial role for survival and successful reproduction, especially in group-living animals. However, call interactions and call dynamics within groups remain largely unexplored because their relation to relevant contexts or life-history stages could not be studied with individual-level resolution. Using on-bird microphone transmitters, we recorded the vocalisations of individual zebra finches (Taeniopygia guttata) behaving freely in social groups, while females and males previously unknown to each other passed through different stages of the breeding cycle. As birds formed pairs and shifted their reproductive status, their call repertoire composition changed. The recordings revealed that calls occurred non-randomly in fine-tuned vocal interactions and decreased within groups while pair-specific patterns emerged. Call-type combinations of vocal interactions changed within pairs and were associated with successful egg-laying, highlighting a potential fitness relevance of calling dynamics in communication systems.

The structure of stereotyped calls reflects kinship and social affiliation in resident killer whales (Orcinus orca).

PubMed

Deecke, Volker B; Barrett-Lennard, Lance G; Spong, Paul; Ford, John K B

2010-05-01

A few species of mammals produce group-specific vocalisations that are passed on by learning, but the function of learned vocal variation remains poorly understood. Resident killer whales live in stable matrilineal groups with repertoires of seven to 17 stereotyped call types. Some types are shared among matrilines, but their structure typically shows matriline-specific differences. Our objective was to analyse calls of nine killer whale matrilines in British Columbia to test whether call similarity primarily reflects social or genetic relationships. Recordings were made in 1985-1995 in the presence of focal matrilines that were either alone or with groups with non-overlapping repertoires. We used neural network discrimination performance to measure the similarity of call types produced by different matrilines and determined matriline association rates from 757 encounters with one or more focal matrilines. Relatedness was measured by comparing variation at 11 microsatellite loci for the oldest female in each group. Call similarity was positively correlated with association rates for two of the three call types analysed. Similarity of the N4 call type was also correlated with matriarch relatedness. No relationship between relatedness and association frequency was detected. These results show that call structure reflects relatedness and social affiliation, but not because related groups spend more time together. Instead, call structure appears to play a role in kin recognition and shapes the association behaviour of killer whale groups. Our results therefore support the hypothesis that increasing social complexity plays a role in the evolution of learned vocalisations in some mammalian species.

The structure of stereotyped calls reflects kinship and social affiliation in resident killer whales ( Orcinus orca)

NASA Astrophysics Data System (ADS)

Deecke, Volker B.; Barrett-Lennard, Lance G.; Spong, Paul; Ford, John K. B.

2010-05-01

A few species of mammals produce group-specific vocalisations that are passed on by learning, but the function of learned vocal variation remains poorly understood. Resident killer whales live in stable matrilineal groups with repertoires of seven to 17 stereotyped call types. Some types are shared among matrilines, but their structure typically shows matriline-specific differences. Our objective was to analyse calls of nine killer whale matrilines in British Columbia to test whether call similarity primarily reflects social or genetic relationships. Recordings were made in 1985-1995 in the presence of focal matrilines that were either alone or with groups with non-overlapping repertoires. We used neural network discrimination performance to measure the similarity of call types produced by different matrilines and determined matriline association rates from 757 encounters with one or more focal matrilines. Relatedness was measured by comparing variation at 11 microsatellite loci for the oldest female in each group. Call similarity was positively correlated with association rates for two of the three call types analysed. Similarity of the N4 call type was also correlated with matriarch relatedness. No relationship between relatedness and association frequency was detected. These results show that call structure reflects relatedness and social affiliation, but not because related groups spend more time together. Instead, call structure appears to play a role in kin recognition and shapes the association behaviour of killer whale groups. Our results therefore support the hypothesis that increasing social complexity plays a role in the evolution of learned vocalisations in some mammalian species.

Porosity inside a metal casting

NASA Technical Reports Server (NTRS)

2003-01-01

Pores and voids often form in metal castings on Earth (above) making them useless. A transparent material that behaves at a large scale in microgravity the way that metals behave at the microscopic scale on Earth, will help show how voids form and learn how to prevent them. Scientists are using the microgravity environment on the International Space Station to study how these bubbles form, move and interact. The Pore Formation and Mobility Investigation (PFMI) in the Microgravity Science Glovebox aboard the International Space Station uses a transparent material called succinonitrile that behaves like a metal to study this problem. Video images sent to the ground allow scientists to watch the behavior of the bubbles as they control the melting and freezing of the material. The bubbles do not float to the top of the material in microgravity, so they can study their interactions.

Material Science

NASA Image and Video Library

2003-01-22

Pores and voids often form in metal castings on Earth (above) making them useless. A transparent material that behaves at a large scale in microgravity the way that metals behave at the microscopic scale on Earth, will help show how voids form and learn how to prevent them. Scientists are using the microgravity environment on the International Space Station to study how these bubbles form, move and interact. The Pore Formation and Mobility Investigation (PFMI) in the Microgravity Science Glovebox aboard the International Space Station uses a transparent material called succinonitrile that behaves like a metal to study this problem. Video images sent to the ground allow scientists to watch the behavior of the bubbles as they control the melting and freezing of the material. The bubbles do not float to the top of the material in microgravity, so they can study their interactions.

Affective immunology: where emotions and the immune response converge.

PubMed

D'Acquisto, Fulvio

2017-03-01

Affect and emotion are defined as "an essential part of the process of an organism's interaction with stimuli." Similar to affect, the immune response is the "tool" the body uses to interact with the external environment. Thanks to the emotional and immunological response, we learn to distinguish between what we like and what we do not like, to counteract a broad range of challenges, and to adjust to the environment we are living in. Recent compelling evidence has shown that the emotional and immunological systems share more than a similarity of functions. This review article will discuss the crosstalk between these two systems and the need for a new scientific area of research called affective immunology. Research in this field will allow a better understanding and appreciation of the immunological basis of mental disorders and the emotional side of immune diseases.

Student’s social interaction in mathematics learning

NASA Astrophysics Data System (ADS)

Apriliyanto, B.; Saputro, D. R. S.; Riyadi

2018-03-01

Mathematics learning achievement is influenced by the internal and external factor of the students. One of the influencing external factors is social interaction with friends in learning activities. In modern learning, the learning is student-centered, so the student interaction is needed to learn about certain basic competence. Potential and motivation of students in learning are expected to develop with good social interaction in order to get maximum results. Social interaction is an important aspect of learning Mathematics because students get the opportunity to express their own thoughts in order to encourage a reflection on the knowledge they have. This research uses the correlational descriptive method involving 36 students for the tenth grade, eleventh grade, and twelfth grade of SMA Negeri 1 Wuryantoro and data collecting technique using questionnaire for social interaction and documentation for learning outcome. The result of this research shows that learning achievement and social interaction of students are not good. Based on the result of data analysis, it is shown that the social interaction and Mathematics learning achievement are still in the low level. This research concludes that students’ social interaction influences student learning achievement in Mathematics subjects.

Evidence for vocal learning in juvenile male killer whales, Orcinus orca, from an adventitious cross-socializing experiment.

PubMed

Crance, Jessica L; Bowles, Ann E; Garver, Alan

2014-04-15

Killer whales (Orcinus orca) are thought to learn their vocal dialect. Dispersal in the species is rare, but effects of shifts in social association on the dialect can be studied under controlled conditions. Individual call repertoires and social association were measured in three adult female killer whales and three males (two juveniles and an adult) during two periods, 2001-2003 and 2005-2006. Three distinct dialect repertoires were represented among the subjects. An adventitious experiment in social change resulted from the birth of a calf and the transfer of two non-focal subjects in 2004. Across the two periods, 1691 calls were collected, categorized and attributed to individuals. Repertoire overlap for each subject dyad was compared with an index of association. During 2005-2006, the two juvenile males increased association with the unrelated adult male. By the end of the period, both had begun producing novel calls and call features characteristic of his repertoire. However, there was little or no reciprocal change and the adult females did not acquire his calls. Repertoire overlap and association were significantly correlated in the first period. In the second, median association time and repertoire similarity increased, but the relationship was only marginally significant. The results provided evidence that juvenile male killer whales are capable of learning new call types, possibly stimulated by a change in social association. The pattern of learning was consistent with a selective convergence of male repertoires.

Research on CALL.

ERIC Educational Resources Information Center

Pederson, Kathleen Marshall

The status of research on computer-assisted language learning (CALL) is explored beginning with a historical perspective of research on the language laboratory, followed by analyses of applied research on CALL. A theoretical base is provided to illustrate the need for more basic research on CALL that considers computer capabilities, learner…

Machine learning with quantum relative entropy

NASA Astrophysics Data System (ADS)

Tsuda, Koji

2009-12-01

Density matrices are a central tool in quantum physics, but it is also used in machine learning. A positive definite matrix called kernel matrix is used to represent the similarities between examples. Positive definiteness assures that the examples are embedded in an Euclidean space. When a positive definite matrix is learned from data, one has to design an update rule that maintains the positive definiteness. Our update rule, called matrix exponentiated gradient update, is motivated by the quantum relative entropy. Notably, the relative entropy is an instance of Bregman divergences, which are asymmetric distance measures specifying theoretical properties of machine learning algorithms. Using the calculus commonly used in quantum physics, we prove an upperbound of the generalization error of online learning.

Generating Ground Reference Data for a Global Impervious Surface Survey

NASA Technical Reports Server (NTRS)

Tilton, James C.; De Colstoun, Eric Brown; Wolfe, Robert E.; Tan, Bin; Huang, Chengquan

2012-01-01

We are developing an approach for generating ground reference data in support of a project to produce a 30m impervious cover data set of the entire Earth for the years 2000 and 2010 based on the Landsat Global Land Survey (GLS) data set. Since sufficient ground reference data for training and validation is not available from ground surveys, we are developing an interactive tool, called HSegLearn, to facilitate the photo-interpretation of 1 to 2 m spatial resolution imagery data, which we will use to generate the needed ground reference data at 30m. Through the submission of selected region objects and positive or negative examples of impervious surfaces, HSegLearn enables an analyst to automatically select groups of spectrally similar objects from a hierarchical set of image segmentations produced by the HSeg image segmentation program at an appropriate level of segmentation detail, and label these region objects as either impervious or nonimpervious.

Learning Progressions as Tools for Assessment and Learning

ERIC Educational Resources Information Center

Shepard, Lorrie A.

2018-01-01

This article addresses the teaching and learning side of the learning progressions literature, calling out for measurement specialists the knowledge most needed when collaborating with subject-matter experts in the development of learning progressions. Learning progressions are one of the strongest instantiations of principles from "Knowing…

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

PubMed

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.

Machine learning predictions of molecular properties: Accurate many-body potentials and nonlocality in chemical space

DOE PAGES

Hansen, Katja; Biegler, Franziska; Ramakrishnan, Raghunathan; ...

2015-06-04

Simultaneously accurate and efficient prediction of molecular properties throughout chemical compound space is a critical ingredient toward rational compound design in chemical and pharmaceutical industries. Aiming toward this goal, we develop and apply a systematic hierarchy of efficient empirical methods to estimate atomization and total energies of molecules. These methods range from a simple sum over atoms, to addition of bond energies, to pairwise interatomic force fields, reaching to the more sophisticated machine learning approaches that are capable of describing collective interactions between many atoms or bonds. In the case of equilibrium molecular geometries, even simple pairwise force fields demonstratemore » prediction accuracy comparable to benchmark energies calculated using density functional theory with hybrid exchange-correlation functionals; however, accounting for the collective many-body interactions proves to be essential for approaching the “holy grail” of chemical accuracy of 1 kcal/mol for both equilibrium and out-of-equilibrium geometries. This remarkable accuracy is achieved by a vectorized representation of molecules (so-called Bag of Bonds model) that exhibits strong nonlocality in chemical space. The same representation allows us to predict accurate electronic properties of molecules, such as their polarizability and molecular frontier orbital energies.« less

Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space

PubMed Central

2015-01-01

Simultaneously accurate and efficient prediction of molecular properties throughout chemical compound space is a critical ingredient toward rational compound design in chemical and pharmaceutical industries. Aiming toward this goal, we develop and apply a systematic hierarchy of efficient empirical methods to estimate atomization and total energies of molecules. These methods range from a simple sum over atoms, to addition of bond energies, to pairwise interatomic force fields, reaching to the more sophisticated machine learning approaches that are capable of describing collective interactions between many atoms or bonds. In the case of equilibrium molecular geometries, even simple pairwise force fields demonstrate prediction accuracy comparable to benchmark energies calculated using density functional theory with hybrid exchange-correlation functionals; however, accounting for the collective many-body interactions proves to be essential for approaching the “holy grail” of chemical accuracy of 1 kcal/mol for both equilibrium and out-of-equilibrium geometries. This remarkable accuracy is achieved by a vectorized representation of molecules (so-called Bag of Bonds model) that exhibits strong nonlocality in chemical space. In addition, the same representation allows us to predict accurate electronic properties of molecules, such as their polarizability and molecular frontier orbital energies. PMID:26113956

Principles for computational design of binding antibodies

PubMed Central

Pszolla, M. Gabriele; Lapidoth, Gideon D.; Norn, Christoffer; Dym, Orly; Unger, Tamar; Albeck, Shira; Tyka, Michael D.; Fleishman, Sarel J.

2017-01-01

Natural proteins must both fold into a stable conformation and exert their molecular function. To date, computational design has successfully produced stable and atomically accurate proteins by using so-called “ideal” folds rich in regular secondary structures and almost devoid of loops and destabilizing elements, such as cavities. Molecular function, such as binding and catalysis, however, often demands nonideal features, including large and irregular loops and buried polar interaction networks, which have remained challenging for fold design. Through five design/experiment cycles, we learned principles for designing stable and functional antibody variable fragments (Fvs). Specifically, we (i) used sequence-design constraints derived from antibody multiple-sequence alignments, and (ii) during backbone design, maintained stabilizing interactions observed in natural antibodies between the framework and loops of complementarity-determining regions (CDRs) 1 and 2. Designed Fvs bound their ligands with midnanomolar affinities and were as stable as natural antibodies, despite having >30 mutations from mammalian antibody germlines. Furthermore, crystallographic analysis demonstrated atomic accuracy throughout the framework and in four of six CDRs in one design and atomic accuracy in the entire Fv in another. The principles we learned are general, and can be implemented to design other nonideal folds, generating stable, specific, and precise antibodies and enzymes. PMID:28973872

CALLing All Foreign Language Teachers: Computer-Assisted Language Learning in the Classroom

ERIC Educational Resources Information Center

Erben, Tony, Ed.; Sarieva, Iona, Ed.

2008-01-01

This book is a comprehensive guide to help foreign language teachers use technology in their classrooms. It offers the best ways to integrate technology into teaching for student-centered learning. CALL Activities include: Email; Building a Web site; Using search engines; Powerpoint; Desktop publishing; Creating sound files; iMovie; Internet chat;…

"Learning Maps" vs. "Instructional Maps": User Guide for Learners vs. Instructional Tool for Designers

ERIC Educational Resources Information Center

Gropper, George L.

2016-01-01

A prescription favored in this article calls for the joint use of "learning maps" and "instructional maps." Why then the "Vs." in the title? Simply put, it is a rhetorical device. It calls attention to a key difference between the two. This article explicates the difference. It also informs how alone and in…

A Corpus-Based System of Error Detection and Revision Suggestion for Spanish Learners in Taiwan: A Case Study

ERIC Educational Resources Information Center

Lu, Hui-Chuan; Chu, Yu-Hsin; Chang, Cheng-Yu

2013-01-01

Compared with English learners, Spanish learners have fewer resources for automatic error detection and revision and following the current integrative Computer Assisted Language Learning (CALL), we combined corpus-based approach and CALL to create the System of Error Detection and Revision Suggestion (SEDRS) for learning Spanish. Through…

A Crucible Moment: College Learning and Democracy's Future. A National Call to Action

ERIC Educational Resources Information Center

Association of American Colleges and Universities (NJ1), 2012

2012-01-01

This report from the National Task Force on Civic Learning and Democratic Engagement calls on the nation to reclaim higher education's civic mission. Commissioned by the Department of Education and released at a White House convening in January 2012, the report pushes back against a prevailing national dialogue that limits the mission of higher…

The Contribution of CALL to Advanced-Level Foreign/Second Language Instruction

ERIC Educational Resources Information Center

Burston, Jack; Arispe, Kelly

2016-01-01

This paper evaluates the contribution of instructional technology to advanced-level foreign/second language learning (AL2) over the past thirty years. It is shown that the most salient feature of AL2 practice and associated Computer-Assisted Language Learning (CALL) research are their rarity and restricted nature. Based on an analysis of four…

Does In-Service Professional Learning for High School Economics Teachers Improve Student Achievement?

ERIC Educational Resources Information Center

Swinton, John R.; De Berry, Thomas; Scafidi, Benjamin; Woodard, Howard C.

2010-01-01

Education policy analysts and professional educators have called for more and better professional learning opportunities for in-service teachers, and for at least 30 years economists called for more content training for high school economics teachers. Using new data from all Georgia high school economics students, we assess the impact of…

Students' and Instructors' Attitudes toward the Use of CALL in Foreign Language Teaching and Learning

ERIC Educational Resources Information Center

Wiebe, Grace; Kabata, Kaori

2010-01-01

This study examines the effects of educational technologies on the attitudes of both the instructors and the students. The results indicate that there is a discrepancy between the students' awareness of the instructors' goals for using new technologies and the importance instructors placed on computer assisted language learning (CALL). The data…

System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks.

PubMed

Gyurko, David M; Soti, Csaba; Stetak, Attila; Csermely, Peter

2014-05-01

During the last decade, network approaches became a powerful tool to describe protein structure and dynamics. Here, we describe first the protein structure networks of molecular chaperones, then characterize chaperone containing sub-networks of interactomes called as chaperone-networks or chaperomes. We review the role of molecular chaperones in short-term adaptation of cellular networks in response to stress, and in long-term adaptation discussing their putative functions in the regulation of evolvability. We provide a general overview of possible network mechanisms of adaptation, learning and memory formation. We propose that changes of network rigidity play a key role in learning and memory formation processes. Flexible network topology provides ' learning-competent' state. Here, networks may have much less modular boundaries than locally rigid, highly modular networks, where the learnt information has already been consolidated in a memory formation process. Since modular boundaries are efficient filters of information, in the 'learning-competent' state information filtering may be much smaller, than after memory formation. This mechanism restricts high information transfer to the 'learning competent' state. After memory formation, modular boundary-induced segregation and information filtering protect the stored information. The flexible networks of young organisms are generally in a 'learning competent' state. On the contrary, locally rigid networks of old organisms have lost their 'learning competent' state, but store and protect their learnt information efficiently. We anticipate that the above mechanism may operate at the level of both protein-protein interaction and neuronal networks.

Computer Assisted Assessment of Face-to-Face Interactions in Health Care Settings

PubMed Central

Ayers, James L.; Haight, Stewart A.

1981-01-01

In this paper, the development of an objective procedure for the empirical assessment of dyadic face-to-face interactions is presented. This procedure, called the Interpersonal Tracking Task (ITT) permits two persons who have just finished video taping their conversation to watch themselves immediately after and, while viewing themselves, answer a sequence of questions systematically presented on a second monitor by a microcomputer. Immediately after viewing their tape, each participant can receive feedback in the form of descriptive statistics summarizing their responses to specific questions and a series of colored bar graphs by which they can view change in their responses over the course of their interaction. The unique role of a computer in this assessment is discussed together with specific components of the software. Preliminary research with the ITT in health care settings has suggested steps for its further development as a research instrument and learning tool whereby individuals might more closely examine their dealings with each other. ImagesFigure 1

Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences

PubMed Central

Zhang, Long; Jia, Lianyin; Ren, Yazhou

2017-01-01

Protein-protein interactions (PPIs) play crucial roles in almost all cellular processes. Although a large amount of PPIs have been verified by high-throughput techniques in the past decades, currently known PPIs pairs are still far from complete. Furthermore, the wet-lab experiments based techniques for detecting PPIs are time-consuming and expensive. Hence, it is urgent and essential to develop automatic computational methods to efficiently and accurately predict PPIs. In this paper, a sequence-based approach called DNN-LCTD is developed by combining deep neural networks (DNNs) and a novel local conjoint triad description (LCTD) feature representation. LCTD incorporates the advantage of local description and conjoint triad, thus, it is capable to account for the interactions between residues in both continuous and discontinuous regions of amino acid sequences. DNNs can not only learn suitable features from the data by themselves, but also learn and discover hierarchical representations of data. When performing on the PPIs data of Saccharomyces cerevisiae, DNN-LCTD achieves superior performance with accuracy as 93.12%, precision as 93.75%, sensitivity as 93.83%, area under the receiver operating characteristic curve (AUC) as 97.92%, and it only needs 718 s. These results indicate DNN-LCTD is very promising for predicting PPIs. DNN-LCTD can be a useful supplementary tool for future proteomics study. PMID:29117139

Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.

PubMed

Wang, Jun; Zhang, Long; Jia, Lianyin; Ren, Yazhou; Yu, Guoxian

2017-11-08

Protein-protein interactions (PPIs) play crucial roles in almost all cellular processes. Although a large amount of PPIs have been verified by high-throughput techniques in the past decades, currently known PPIs pairs are still far from complete. Furthermore, the wet-lab experiments based techniques for detecting PPIs are time-consuming and expensive. Hence, it is urgent and essential to develop automatic computational methods to efficiently and accurately predict PPIs. In this paper, a sequence-based approach called DNN-LCTD is developed by combining deep neural networks (DNNs) and a novel local conjoint triad description (LCTD) feature representation. LCTD incorporates the advantage of local description and conjoint triad, thus, it is capable to account for the interactions between residues in both continuous and discontinuous regions of amino acid sequences. DNNs can not only learn suitable features from the data by themselves, but also learn and discover hierarchical representations of data. When performing on the PPIs data of Saccharomyces cerevisiae , DNN-LCTD achieves superior performance with accuracy as 93.12%, precision as 93.75%, sensitivity as 93.83%, area under the receiver operating characteristic curve (AUC) as 97.92%, and it only needs 718 s. These results indicate DNN-LCTD is very promising for predicting PPIs. DNN-LCTD can be a useful supplementary tool for future proteomics study.

Interaction and learning: An analysis of two freshman physics courses

NASA Astrophysics Data System (ADS)

Clark, Dexter

2005-08-01

The influence of digital technology has gradually increased through the years to the point where it impacts almost every part of our experience in some way. Educators are expected increasingly to supplement or even replace lecture and chalkboard practices with alternative strategies. Beyond integrating new technologies into the learning environments are the new forms of learning that some believe are implied by the nature of digitally mediated instruction itself. The use of multimedia technologies for learning in many cases is thought to facilitate a move away from teacher-centered practices of instruction toward learner-centered strategies of both delivery and assessment. This study was an investigation of effects that may be encountered when alternative forms of classroom delivery are introduced. It was a mixed-mode investigation of classroom culture and student performance in two sections of a physics course for undergraduate engineering students. The content for these two classes was identical as were the learning resources available to students. Both classes employed multiple methods of presentation combining face-to-face methods with classroom and online digital learning tools. The most distinctive differences between them were found in the classroom practice itself. One class received what may be called a traditional teacher-centered presentation focusing on solving math problems in physics. The other employed dense student to instructor and student-to-student interaction in the classroom with a learning approach characterized by inquiry methods of content delivery. The investigation asked three questions. First it sought to identify what expectations students brought to the classroom about what they would experience and how they would be taught. Second it examined how the tools and practices used to facilitate learning actually affected the classroom culture. Finally the study explored what affect if any the pedagogical practices students experienced had on their measured performance outcomes. These students were strongly influenced by their teacher-centered background and were not expecting any new learning strategies. They found significantly different classroom cultures between the two classes and achieved performance results that clearly were affected by the delivery techniques they experienced.

How much to trust the senses: Likelihood learning

PubMed Central

Sato, Yoshiyuki; Kording, Konrad P.

2014-01-01

Our brain often needs to estimate unknown variables from imperfect information. Our knowledge about the statistical distributions of quantities in our environment (called priors) and currently available information from sensory inputs (called likelihood) are the basis of all Bayesian models of perception and action. While we know that priors are learned, most studies of prior-likelihood integration simply assume that subjects know about the likelihood. However, as the quality of sensory inputs change over time, we also need to learn about new likelihoods. Here, we show that human subjects readily learn the distribution of visual cues (likelihood function) in a way that can be predicted by models of statistically optimal learning. Using a likelihood that depended on color context, we found that a learned likelihood generalized to new priors. Thus, we conclude that subjects learn about likelihood. PMID:25398975

Potential Paradigms and Possible Problems for CALL.

ERIC Educational Resources Information Center

Phillips, Martin

1987-01-01

Describes three models of CALL (computer assisted language learning) activity--games, the expert system, and the prosthetic approaches. A case is made for CALL development within a more instrumental view of the role of computers. (Author/CB)

A Machine Learning Method for Power Prediction on the Mobile Devices.

PubMed

Chen, Da-Ren; Chen, You-Shyang; Chen, Lin-Chih; Hsu, Ming-Yang; Chiang, Kai-Feng

2015-10-01

Energy profiling and estimation have been popular areas of research in multicore mobile architectures. While short sequences of system calls have been recognized by machine learning as pattern descriptions for anomalous detection, power consumption of running processes with respect to system-call patterns are not well studied. In this paper, we propose a fuzzy neural network (FNN) for training and analyzing process execution behaviour with respect to series of system calls, parameters and their power consumptions. On the basis of the patterns of a series of system calls, we develop a power estimation daemon (PED) to analyze and predict the energy consumption of the running process. In the initial stage, PED categorizes sequences of system calls as functional groups and predicts their energy consumptions by FNN. In the operational stage, PED is applied to identify the predefined sequences of system calls invoked by running processes and estimates their energy consumption.

The Effects of Learning Styles and Meaningful Learning on the Learning Achievement of Gamification Health Education Curriculum

ERIC Educational Resources Information Center

Fan, Kuo-Kuang; Xiao, Peng-wei; Su, Chung-Ho

2015-01-01

This study aims to discuss the correlations among learning styles, meaningful learning, and learning achievement. Directed at the rather difficult to comprehend human blood circulation unit in the biology materials for junior high school students, a Mobile Meaningful Blood Circulation Learning System, called MMBCLS gamification learning, was…

Accelerated Online Learning: Perceptions of Interaction and Learning Outcomes among African American Students

ERIC Educational Resources Information Center

Kuo, Yu-Chun

2014-01-01

This study investigated student interaction, satisfaction, and performance in accelerated online learning environments with the use of an online learning course-management system. The interactions assessed in this study included learner-learner interaction, learner-instructor interaction, and learner-content interaction. The participants were…

Skype me! Socially Contingent Interactions Help Toddlers Learn Language

PubMed Central

Roseberry, Sarah; Hirsh-Pasek, Kathy; Golinkoff, Roberta Michnick

2013-01-01

Language learning takes place in the context of social interactions, yet the mechanisms that render social interactions useful for learning language remain unclear. This paper focuses on whether social contingency might support word learning. Toddlers aged 24- to 30-months (N=36) were exposed to novel verbs in one of three conditions: live interaction training, socially contingent video training over video chat, and non-contingent video training (yoked video). Results suggest that children only learned novel verbs in socially contingent interactions (live interactions and video chat). The current study highlights the importance of social contingency in interactions for language learning and informs the literature on learning through screen media as the first study to examine word learning through video chat technology. PMID:24112079

Interactive and Non-Interactive Pictures in Multimedia Learning Environments: Effects on Learning Outcomes and Learning Efficiency

ERIC Educational Resources Information Center

Rasch, Thorsten; Schnotz, Wolfgang

2009-01-01

New technologies enable flexible combinations of text and interactive or non-interactive pictures. The aim of the present study was to investigate (a) whether adding pictures to texts is generally beneficial for learning or whether it can also have detrimental effects, (b) how interactivity of pictures affects learning, (c) whether the…

The Effect of Animation in Multimedia Computer-Based Learning and Learning Style to the Learning Results

ERIC Educational Resources Information Center

Rusli, Muhammad; Negara, I. Komang Rinartha Yasa

2017-01-01

The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning module which is called multimedia learning or learning by using multimedia. In learning context by using computer-based…

The Perceived Effect of Duty Hour Restrictions on Learning Opportunities in the Intensive Care Unit.

PubMed

Sabri, Nessrine; Sun, Ning-Zi; Cummings, Beth-Ann; Jayaraman, Dev

2015-03-01

Many countries have reduced resident duty hours in an effort to promote patient safety and enhance resident quality of life. There are concerns that reducing duty hours may impact residents' learning opportunities. We (1) evaluated residents' perceptions of their current learning opportunities in a context of reduced duty hours, and (2) explored the perceived change in resident learning opportunities after call length was reduced from 24 continuous hours to 16 hours. We conducted an anonymous, cross-sectional online survey of 240 first-, second-, and third-year residents rotating through 3 McGill University-affiliated intensive care units (ICUs) in Montreal, Quebec, Canada, between July 1, 2012, and June 30, 2013. The survey investigated residents' perceptions of learning opportunities in both the 24-hour and 16-hour systems. Of 240 residents, 168 (70%) completed the survey. Of these residents, 63 (38%) had been exposed to both 24-hour and 16-hour call schedules. The majority of respondents (83%) reported that didactic teaching sessions held by ICU staff physicians were useful. However, of the residents trained in both approaches to overnight call, 44% reported a reduction in learner attendance at didactic teaching sessions, 48% reported a reduction in attendance at midday hospital rounds, and 40% reported a perceived reduction in self-directed reading after the implementation of the new call schedule. A substantial proportion of residents perceived a reduction in the attendance of instructor-directed and self-directed reading after the implementation of a 16-hour call schedule in the ICU.

Teaching strategies to promote concept learning by design challenges

NASA Astrophysics Data System (ADS)

Van Breukelen, Dave; Van Meel, Adrianus; De Vries, Marc

2017-07-01

Background: This study is the second study of a design-based research, organised around four studies, that aims to improve student learning, teaching skills and teacher training concerning the design-based learning approach called Learning by Design (LBD).

Changing teaching techniques and adapting new technologies to improve student learning in an introductory meteorology and climate course

NASA Astrophysics Data System (ADS)

Cutrim, E. M.; Rudge, D.; Kits, K.; Mitchell, J.; Nogueira, R.

2006-06-01

Responding to the call for reform in science education, changes were made in an introductory meteorology and climate course offered at a large public university. These changes were a part of a larger project aimed at deepening and extending a program of science content courses that model effective teaching strategies for prospective middle school science teachers. Therefore, revisions were made to address misconceptions about meteorological phenomena, foster deeper understanding of key concepts, encourage engagement with the text, and promote inquiry-based learning. Techniques introduced include: use of a flash cards, student reflection questionnaires, writing assignments, and interactive discussions on weather and forecast data using computer technology such as Integrated Data Viewer (IDV). The revision process is described in a case study format. Preliminary results (self-reflection by the instructor, surveys of student opinion, and measurements of student achievement), suggest student learning has been positively influenced. This study is supported by three grants: NSF grant No. 0202923, the Unidata Equipment Award, and the Lucia Harrison Endowment Fund.

The evolutionary language game: an orthogonal approach.

PubMed

Lenaerts, Tom; Jansen, Bart; Tuyls, Karl; De Vylder, Bart

2005-08-21

Evolutionary game dynamics have been proposed as a mathematical framework for the cultural evolution of language and more specifically the evolution of vocabulary. This article discusses a model that is mutually exclusive in its underlying principals with some previously suggested models. The model describes how individuals in a population culturally acquire a vocabulary by actively participating in the acquisition process instead of passively observing and communicate through peer-to-peer interactions instead of vertical parent-offspring relations. Concretely, a notion of social/cultural learning called the naming game is first abstracted using learning theory. This abstraction defines the required cultural transmission mechanism for an evolutionary process. Second, the derived transmission system is expressed in terms of the well-known selection-mutation model defined in the context of evolutionary dynamics. In this way, the analogy between social learning and evolution at the level of meaning-word associations is made explicit. Although only horizontal and oblique transmission structures will be considered, extensions to vertical structures over different genetic generations can easily be incorporated. We provide a number of simplified experiments to clarify our reasoning.

Connecting Neighborhood Councils and City Agencies--Evaluation of the Learning and Design Forums and Role of the University as a Mediating Institution

ERIC Educational Resources Information Center

Kathi, Pradeep Chandra

2012-01-01

The School of Planning Policy and Development at the University of Southern California brought together representatives of neighborhood councils and city agencies of the city of Los Angeles together in an action research program. This action research program called the Collaborative Learning Project developed a collaboration process called the…

Learning Partnerships: Strengthening American Jobs in the Global Economy. A Report of the Task Force on Workforce Development

ERIC Educational Resources Information Center

Albert Shanker Institute, 2004

2004-01-01

Global competition, sweeping technological change, and demographic shifts in the labor force call for a national campaign to improve the skills and professionalism of the American workforce. This document calls for the creation of new learning partnerships throughout communities and workplaces to sustain middle-class jobs, pay the social costs of…

The Path to English Literacy: Analyzing Elementary Sight Word Procurement Using Computer Assisted Language Learning (CALL) in Contrast to Traditional Methodologies

ERIC Educational Resources Information Center

Madill, Michael T. R.

2014-01-01

Didactical approaches related to teaching English as a Foreign Language (EFL) have developed into a complex array of instructional methodologies, each having potential benefits attributed to elementary reading development. One such effective practice is Computer Assisted Language Learning (CALL), which uses various forms of technology such as…

I'm a Useful NLP Tool--Get Me out of Here

ERIC Educational Resources Information Center

Ward, Monica

2015-01-01

Irish is a compulsory subject in Irish schools. However, there are several pedagogical issues with teaching and learning the language. Computer-Assisted Language Learning (CALL) is under-utilised in schools in Ireland and even more so in the case of Irish, as there are very few CALL resources for the language. This paper looks at the lessons…

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

ERIC Educational Resources Information Center

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…

The Effect of Computer-Assisted Language Learning on Reading Comprehension in an Iranian EFL Context

ERIC Educational Resources Information Center

Saeidi, Mahnaz; Yusefi, Mahsa

2012-01-01

This study is an attempt to examine the effect of computer-assisted language learning (CALL) on reading comprehension in an Iranian English as a foreign language (EFL) context. It was hypothesized that CALL has an effect on reading comprehension. Forty female learners of English at intermediate level after administering a proficiency test were…

Validating a Computer-Assisted Language Learning Attitude Instrument Used in Iranian EFL Context: An Evidence-Based Approach

ERIC Educational Resources Information Center

Aryadoust, Vahid; Mehran, Parisa; Alizadeh, Mehrasa

2016-01-01

A few computer-assisted language learning (CALL) instruments have been developed in Iran to measure EFL (English as a foreign language) learners' attitude toward CALL. However, these instruments have no solid validity argument and accordingly would be unable to provide a reliable measurement of attitude. The present study aimed to develop a CALL…

Reinforcement learning for resource allocation in LEO satellite networks.

PubMed

Usaha, Wipawee; Barria, Javier A

2007-06-01

In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing methods. However, the conventional dynamic programming (DP) numerical solution becomes prohibited as the problem size increases. In this paper, two solution methods based on reinforcement learning (RL) are proposed in order to circumvent the computational burden of DP. The first method is based on an actor-critic method with temporal-difference (TD) learning. The second method is based on a critic-only method, called optimistic TD learning. The algorithms enhance performance in terms of requirements in storage, computational complexity and computational time, and in terms of an overall long-term average revenue function that penalizes blocked calls. Numerical studies are carried out, and the results obtained show that the RL framework can achieve up to 56% higher average revenue over existing routing methods used in LEO satellite networks with reasonable storage and computational requirements.

Extraction of Protein-Protein Interaction from Scientific Articles by Predicting Dominant Keywords.

PubMed

Koyabu, Shun; Phan, Thi Thanh Thuy; Ohkawa, Takenao

2015-01-01

For the automatic extraction of protein-protein interaction information from scientific articles, a machine learning approach is useful. The classifier is generated from training data represented using several features to decide whether a protein pair in each sentence has an interaction. Such a specific keyword that is directly related to interaction as "bind" or "interact" plays an important role for training classifiers. We call it a dominant keyword that affects the capability of the classifier. Although it is important to identify the dominant keywords, whether a keyword is dominant depends on the context in which it occurs. Therefore, we propose a method for predicting whether a keyword is dominant for each instance. In this method, a keyword that derives imbalanced classification results is tentatively assumed to be a dominant keyword initially. Then the classifiers are separately trained from the instance with and without the assumed dominant keywords. The validity of the assumed dominant keyword is evaluated based on the classification results of the generated classifiers. The assumption is updated by the evaluation result. Repeating this process increases the prediction accuracy of the dominant keyword. Our experimental results using five corpora show the effectiveness of our proposed method with dominant keyword prediction.

Patterns of call communication between group-housed zebra finches change during the breeding cycle

PubMed Central

Gill, Lisa F; Goymann, Wolfgang; Ter Maat, Andries; Gahr, Manfred

2015-01-01

Vocal signals such as calls play a crucial role for survival and successful reproduction, especially in group-living animals. However, call interactions and call dynamics within groups remain largely unexplored because their relation to relevant contexts or life-history stages could not be studied with individual-level resolution. Using on-bird microphone transmitters, we recorded the vocalisations of individual zebra finches (Taeniopygia guttata) behaving freely in social groups, while females and males previously unknown to each other passed through different stages of the breeding cycle. As birds formed pairs and shifted their reproductive status, their call repertoire composition changed. The recordings revealed that calls occurred non-randomly in fine-tuned vocal interactions and decreased within groups while pair-specific patterns emerged. Call-type combinations of vocal interactions changed within pairs and were associated with successful egg-laying, highlighting a potential fitness relevance of calling dynamics in communication systems. DOI: http://dx.doi.org/10.7554/eLife.07770.001 PMID:26441403

Operation Breakthrough for Continuous Self-Systems Improvement.

ERIC Educational Resources Information Center

Given, Barbara K.

1994-01-01

Operation Breakthrough, in which graduate student interns teach life skills to adolescents with learning disabilities, provided an impetus for identifying a profile of learning and work habits necessary for production of an agile workforce. Agile learning for self-systems improvement calls for self-empowered learning, collaborative learning,…

Extended Relation Metadata for SCORM-Based Learning Content Management Systems

ERIC Educational Resources Information Center

Lu, Eric Jui-Lin; Horng, Gwoboa; Yu, Chia-Ssu; Chou, Ling-Ying

2010-01-01

To increase the interoperability and reusability of learning objects, Advanced Distributed Learning Initiative developed a model called Content Aggregation Model (CAM) to describe learning objects and express relationships between learning objects. However, the suggested relations defined in the CAM can only describe structure-oriented…

Skype me! Socially contingent interactions help toddlers learn language.

PubMed

Roseberry, Sarah; Hirsh-Pasek, Kathy; Golinkoff, Roberta M

2014-01-01

Language learning takes place in the context of social interactions, yet the mechanisms that render social interactions useful for learning language remain unclear. This study focuses on whether social contingency might support word learning. Toddlers aged 24-30 months (N = 36) were exposed to novel verbs in one of three conditions: live interaction training, socially contingent video training over video chat, and noncontingent video training (yoked video). Results suggest that children only learned novel verbs in socially contingent interactions (live interactions and video chat). This study highlights the importance of social contingency in interactions for language learning and informs the literature on learning through screen media as the first study to examine word learning through video chat technology. © 2013 The Authors. Child Development © 2013 Society for Research in Child Development, Inc.

Integrating CALL into the Classroom: The Role of Podcasting in an ESL Listening Strategies Course

ERIC Educational Resources Information Center

O'Brien, Anne; Hegelheimer, Volker

2007-01-01

Despite the increase of teacher preparation programs that emphasize the importance of training teachers to select and develop appropriate computer-assisted language learning (CALL) materials, integration of CALL into classroom settings is still frequently relegated to the use of selected CALL activities to supplement instruction or to provide…

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

Treesearch

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...

ICALL's Relevance to CALL

ERIC Educational Resources Information Center

Ward, Monica

2017-01-01

The term Intelligent Computer Assisted Language Learning (ICALL) covers many different aspects of CALL that add something extra to a CALL resource. This could be with the use of computational linguistics or Artificial Intelligence (AI). ICALL tends to be not very well understood within the CALL community. There may also be the slight fear factor…

Causal cognition in a non-human primate: field playback experiments with Diana monkeys.

PubMed

Zuberbühler, K

2000-09-14

Crested guinea fowls (Guttera pucherani) living in West African rainforests give alarm calls to leopards (Panthera pardus) and sometimes humans (Homo sapiens), two main predators of sympatric Diana monkeys (Cercopithecus diana). When hearing these guinea fowl alarm calls, Diana monkeys respond as if a leopard were present, suggesting that by default the monkeys associate guinea fowl alarm calls with the presence of a leopard. To assess the monkeys' level of causal understanding, I primed monkeys to the presence of either a leopard or a human, before exposing them to playbacks of guinea fowl alarm calls. There were significant differences in the way leopard-primed groups and human-primed groups responded to guinea fowl alarm calls, suggesting that the monkeys' response was not directly driven by the alarm calls themselves but by the calls' underlying cause, i.e. the predator most likely to have caused the calls. Results are discussed with respect to three possible cognitive mechanisms - associative learning, specialized learning programs, and causal reasoning - that could have led to causal knowledge in Diana monkeys.

Understanding Learning and Learning Design in MOOCs: A Measurement-Based Interpretation

ERIC Educational Resources Information Center

Milligan, Sandra; Griffin, Patrick

2016-01-01

The paper describes empirical investigations of how participants in a MOOC learn, and the implications for MOOC design. A learner capability to generate higher order learning in MOOCs--called crowd-sourced learning (C-SL) capability--was defined from learning science literature. The capability comprised a complex yet interrelated array of…

Interaction Forms in Successful Collaborative Learning in Virtual Learning Environments

ERIC Educational Resources Information Center

Vuopala, Essi; Hyvönen, Pirkko; Järvelä, Sanna

2016-01-01

Despite the numerous studies on social interaction in collaborative learning, little is known about interaction forms in successful computer-supported collaborative learning situations. The purpose of this study was to explore and understand student interaction in successful collaborative learning during a university course which was mediated by…

Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning.

PubMed

Hartmann, Christoph; Miner, Daniel C; Triesch, Jochen

2015-01-01

Recent evidence suggests that parallel synapses from the same axonal branch onto the same dendritic branch have almost identical strength. It has been proposed that this alignment is only possible through learning rules that integrate activity over long time spans. However, learning mechanisms such as spike-timing-dependent plasticity (STDP) are commonly assumed to be temporally local. Here, we propose that the combination of temporally local STDP and a multiplicative synaptic normalization mechanism is sufficient to explain the alignment of parallel synapses. To address this issue, we introduce three increasingly complex models: First, we model the idealized interaction of STDP and synaptic normalization in a single neuron as a simple stochastic process and derive analytically that the alignment effect can be described by a so-called Kesten process. From this we can derive that synaptic efficacy alignment requires potentiation-dominated learning regimes. We verify these conditions in a single-neuron model with independent spiking activities but more realistic synapses. As expected, we only observe synaptic efficacy alignment for long-term potentiation-biased STDP. Finally, we explore how well the findings transfer to recurrent neural networks where the learning mechanisms interact with the correlated activity of the network. We find that due to the self-reinforcing correlations in recurrent circuits under STDP, alignment occurs for both long-term potentiation- and depression-biased STDP, because the learning will be potentiation dominated in both cases due to the potentiating events induced by correlated activity. This is in line with recent results demonstrating a dominance of potentiation over depression during waking and normalization during sleep. This leads us to predict that individual spine pairs will be more similar after sleep compared to after sleep deprivation. In conclusion, we show that synaptic normalization in conjunction with coordinated potentiation--in this case, from STDP in the presence of correlated pre- and post-synaptic activity--naturally leads to an alignment of parallel synapses.

IceCube Polar Virtual Reality exhibit: immersive learning for learners of all ages

NASA Astrophysics Data System (ADS)

Madsen, J.; Bravo Gallart, S.; Chase, A.; Dougherty, P.; Gagnon, D.; Pronto, K.; Rush, M.; Tredinnick, R.

2017-12-01

The IceCube Polar Virtual Reality project is an innovative, interactive exhibit that explains the operation and science of a flagship experiment in polar research, the IceCube Neutrino Observatory. The exhibit allows users to travel from the South Pole, where the detector is located, to the furthest reaches of the universe, learning how the detection of high-energy neutrinos has opened a new view to the universe. This novel exhibit combines a multitouch tabletop display system and commercially available virtual reality (VR) head-mounted displays to enable informal STEM learning of polar research. The exhibit, launched in early November 2017 during the Wisconsin Science Festival in Madison, WI, will study how immersive VR can enhance informal STEM learning. The foundation of this project is built upon a strong collaborative effort between the Living Environments Laboratory (LEL), the Wisconsin IceCube Particle Astrophysics Center (WIPAC), and the Field Day Laboratory groups from the University of Wisconsin-Madison campus. The project is funded through an NSF Advancing Informal STEM Learning (AISL) grant, under a special call for engaging students and the public in polar research. This exploratory pathways project seeks to build expertise to allow future extensions. The plan is to submit a subsequent AISL Broad Implementation proposal to add more 3D environments for other Antarctic research topics and locations in the future. We will describe the current implementation of the project and discuss the challenges and opportunities of working with an interdisciplinary team of scientists and technology and education researchers. We will also present preliminary assessment results, which seek to answer questions such as: Did users gain a better understanding of IceCube research from interacting with the exhibit? Do both technologies (touch table and VR headset) provide the same level of engagement? Is one technology better suited for specific learning outcomes?

Vertical transmission of learned signatures in a wild parrot

PubMed Central

Berg, Karl S.; Delgado, Soraya; Cortopassi, Kathryn A.; Beissinger, Steven R.; Bradbury, Jack W.

2012-01-01

Learned birdsong is a widely used animal model for understanding the acquisition of human speech. Male songbirds often learn songs from adult males during sensitive periods early in life, and sing to attract mates and defend territories. In presumably all of the 350+ parrot species, individuals of both sexes commonly learn vocal signals throughout life to satisfy a wide variety of social functions. Despite intriguing parallels with humans, there have been no experimental studies demonstrating learned vocal production in wild parrots. We studied contact call learning in video-rigged nests of a well-known marked population of green-rumped parrotlets (Forpus passerinus) in Venezuela. Both sexes of naive nestlings developed individually unique contact calls in the nest, and we demonstrate experimentally that signature attributes are learned from both primary care-givers. This represents the first experimental evidence for the mechanisms underlying the transmission of a socially acquired trait in a wild parrot population. PMID:21752824

Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification.

PubMed

Jowkar, Gholam-Hossein; Mansoori, Eghbal G

2016-10-01

Identification of disease genes, using computational methods, is an important issue in biomedical and bioinformatics research. According to observations that diseases with the same or similar phenotype have the same biological characteristics, researchers have tried to identify genes by using machine learning tools. In recent attempts, some semi-supervised learning methods, called positive-unlabeled learning, is used for disease gene identification. In this paper, we present a Perceptron ensemble of graph-based positive-unlabeled learning (PEGPUL) on three types of biological attributes: gene ontologies, protein domains and protein-protein interaction networks. In our method, a reliable set of positive and negative genes are extracted using co-training schema. Then, the similarity graph of genes is built using metric learning by concentrating on multi-rank-walk method to perform inference from labeled genes. At last, a Perceptron ensemble is learned from three weighted classifiers: multilevel support vector machine, k-nearest neighbor and decision tree. The main contributions of this paper are: (i) incorporating the statistical properties of gene data through choosing proper metrics, (ii) statistical evaluation of biological features, and (iii) noise robustness characteristic of PEGPUL via using multilevel schema. In order to assess PEGPUL, we have applied it on 12950 disease genes with 949 positive genes from six class of diseases and 12001 unlabeled genes. Compared with some popular disease gene identification methods, the experimental results show that PEGPUL has reasonable performance. Copyright © 2016 Elsevier Ltd. All rights reserved.

Interaction Pattern Analysis in cMOOCs Based on the Connectivist Interaction and Engagement Framework

ERIC Educational Resources Information Center

Wang, Zhijun; Anderson, Terry; Chen, Li; Barbera, Elena

2017-01-01

Connectivist learning is interaction-centered learning. A framework describing interaction and cognitive engagement in connectivist learning was constructed using logical reasoning techniques. The framework and analysis was designed to help researchers and learning designers understand and adapt the characteristics and principles of interaction in…

A Context-Aware Ubiquitous Learning Environment for Language Listening and Speaking

ERIC Educational Resources Information Center

Liu, T.-Y.

2009-01-01

This paper reported the results of a study that aimed to construct a sensor and handheld augmented reality (AR)-supported ubiquitous learning (u-learning) environment called the Handheld English Language Learning Organization (HELLO), which is geared towards enhancing students' language learning. The HELLO integrates sensors, AR, ubiquitous…

A Rebuttal of NTL Institute's Learning Pyramid

ERIC Educational Resources Information Center

Letrud, Kare

2012-01-01

This article discusses the learning pyramid corroborated by National Training Laboratories Institute. It present and compliment historical and methodological critique against the learning pyramid, and call upon NTL Institute ought to retract their model.

Support patient search on pathology reports with interactive online learning based data extraction.

PubMed

Zheng, Shuai; Lu, James J; Appin, Christina; Brat, Daniel; Wang, Fusheng

2015-01-01

Structural reporting enables semantic understanding and prompt retrieval of clinical findings about patients. While synoptic pathology reporting provides templates for data entries, information in pathology reports remains primarily in narrative free text form. Extracting data of interest from narrative pathology reports could significantly improve the representation of the information and enable complex structured queries. However, manual extraction is tedious and error-prone, and automated tools are often constructed with a fixed training dataset and not easily adaptable. Our goal is to extract data from pathology reports to support advanced patient search with a highly adaptable semi-automated data extraction system, which can adjust and self-improve by learning from a user's interaction with minimal human effort. We have developed an online machine learning based information extraction system called IDEAL-X. With its graphical user interface, the system's data extraction engine automatically annotates values for users to review upon loading each report text. The system analyzes users' corrections regarding these annotations with online machine learning, and incrementally enhances and refines the learning model as reports are processed. The system also takes advantage of customized controlled vocabularies, which can be adaptively refined during the online learning process to further assist the data extraction. As the accuracy of automatic annotation improves overtime, the effort of human annotation is gradually reduced. After all reports are processed, a built-in query engine can be applied to conveniently define queries based on extracted structured data. We have evaluated the system with a dataset of anatomic pathology reports from 50 patients. Extracted data elements include demographical data, diagnosis, genetic marker, and procedure. The system achieves F-1 scores of around 95% for the majority of tests. Extracting data from pathology reports could enable more accurate knowledge to support biomedical research and clinical diagnosis. IDEAL-X provides a bridge that takes advantage of online machine learning based data extraction and the knowledge from human's feedback. By combining iterative online learning and adaptive controlled vocabularies, IDEAL-X can deliver highly adaptive and accurate data extraction to support patient search.

From Local to EXtreme Environments (FLEXE) Student-Scientist Online Forums: hypothesis-based research examining ways to involve scientists in effective science education

NASA Astrophysics Data System (ADS)

Goehring, L.; Carlsen, W.; Fisher, C. R.; Kerlin, S.; Trautmann, N.; Petersen, W.

2011-12-01

Science education reform since the mid-1990's has called for a "new way of teaching and learning about science that reflects how science itself is done, emphasizing inquiry as a way of achieving knowledge and understanding about the world" (NRC, 1996). Scientists and engineers, experts in inquiry thinking, have been called to help model these practices for students and demonstrate scientific habits of mind. The question, however, is "how best to involve these experts?" given the very real challenges of limited availability of scientists, varying experience with effective pedagogy, widespread geographic distribution of schools, and the sheer number of students involved. Technology offers partial solutions to enable Student-Scientist Interactions (SSI). The FLEXE Project has developed online FLEXE Forums to support efficient, effective SSIs, making use of web-based and database technology to facilitate communication between students and scientists. More importantly, the FLEXE project has approached this question of "how best to do this?" scientifically, combining program evaluation with hypothesis-based research explicitly testing the effects of such SSIs on student learning and attitudes towards science. FLEXE Forums are designed to showcase scientific practices and habits of mind through facilitated interaction between students and scientists. Through these Forums, students "meet" working scientists and learn about their research and the environments in which they work. Scientists provide students with intriguing "real-life" datasets and challenge students to analyze and interpret the data through guiding questions. Students submit their analyses to the Forum, and scientists provide feedback and connect the instructional activity with real-life practice, showcasing their activities in the field. In the FLEXE project, Forums are embedded within inquiry-based instructional units focused on essential learning concepts, and feature the deep-sea environment in contrast to students' local environments to deepen students' understanding of earth systems processes. This presentation will provide an overview of the FLEXE project, a partnership between the Ridge2000 research scientists, science learning researchers, and educators, and will report findings from pilot studies implemented in collaboration with the GLOBE program, a worldwide network of scientists, science educators, and their students. FLEXE Forums have been tested with approximately 1400 students in the US, Germany, Australia and Thailand in 2009, and 1100 students in the US, Thailand, England and Costa Rica in 2010. Description of research methods (e.g., educational hypotheses, assessment of student learning and attitudes through analysis of student writing, and "quick question" surveys) and results will be shared, along with current tests examining the transferability of the approach to other scientists/science educator teams.

Researching Primary Teachers' Professional Agency: Employing Interactive Ethnography to Overcome Reluctance to Teach Science

NASA Astrophysics Data System (ADS)

Martin, Jenny

2017-09-01

This paper provides a report of a case study on the professional agency of an experienced early years teacher, Sarah, who successfully embedded a chemical science program of teaching-learning for her students aged between 6 and 8. Interactive ethnography informs the research design, and discursive psychology provides the tools for the analysis of Sarah's speech acts for her positioning as a responsible agent. Reframing the problem of primary teacher reluctance to teach science in terms of primary teachers' professional agency using discursive psychology, this ontological study provides new insight into issues related to the provision of science education in primary schools and asks: How do primary teachers position themselves and others in relation to science curriculum and education? The research calls for research methodologies and reform efforts in primary science that are better grounded in the local moral orders of primary schools.

Engaging the Public Through an Interactive Astronomy Outreach Program

NASA Astrophysics Data System (ADS)

Thompson, Kristen

2018-01-01

The growing technology sector of the U.S. economy in an increasingly complex world has made it more important than ever for students to gather information, think critically, and solve problems. These skills are often acquired through the study of STEM disciplines. In an effort to inspire students and the public in the Charlotte, NC area to take an interest in STEM related fields, the Physics Department at Davidson College has recently developed an interactive astronomy community engagement program. This program is comprised of off-campus events that bring STEM programming to K-12 children, on-campus public star parties, and a day-long astronomy fair called Davidson Space Day. This presentation will illustrate the implementation of each of these components of our outreach program, present an evaluation of their success, and describe future goals and lessons learned thus far. This outreach program was made possible through funding from the NC Space Grant Consortium.

The Learning Conference

ERIC Educational Resources Information Center

Ravn, Ib

2007-01-01

Purpose: The purpose of this paper is to call attention to the fact that conferences for professionals rely on massive one-way communication and hence produce little learning for delegates--and to introduce an alternative, the "learning conference", that involves delegates in fun and productive learning processes.…

Brain Type or Sex Differences? A Structural Equation Model of the Relation between Brain Type, Sex, and Motivation to Learn Science

ERIC Educational Resources Information Center

Zeyer, Albert; Bolsterli, Katrin; Brovelli, Dorothee; Odermatt, Freia

2012-01-01

Sex is considered to be one of the most significant factors influencing attitudes towards science. However, the so-called brain type approach from cognitive science suggests that the difference in motivation to learn science does not primarily differentiate the girls from the boys, but rather the so-called systemisers from the empathizers. The…

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

ERIC Educational Resources Information Center

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…

Enactivism and neonatal imitation: conceptual and empirical considerations and clarifications

PubMed Central

Lodder, Paul; Rotteveel, Mark; van Elk, Michiel

2014-01-01

Recently within social cognition it has been argued that understanding others is primarily characterized by dynamic and second person interactive processes, rather than by taking a third person observational stance. Within this enactivist view of intersubjective understanding, researchers differ in their claims regarding the innateness of such processes. Here we proposed to distinguish nativist enactivists—who argue that studies on neonatal imitation support the view that infants already have a non-mentalistic embodied form of intersubjective understanding present at birth—from empiricist enactivists, who claim that those intersubjective processes are learned through social interaction. In this article, we critically examine the empirical studies on neonate imitation and conclude that the available evidence is at least mixed for most types of specific gesture imitations. In the end, only the tongue protrusion imitation appears to be consistent across different studies. If neonates imitate only one single gesture, then a more parsimonious explanation for the tongue protrusion effect could be put forward. Consequently, the nativist enactivist claim that understanding others depends on second person interactive processes already present at birth seems no longer plausible. Although other strands of evidence provide converging evidence for the importance of intersubjective processes in adult social cognition, the available evidence on neonatal imitation calls for a more careful view on the innateness of such processes and suggests that this way of interacting needs to be learned over time. Therefore the available empirical evidence on neonate imitation is in our view compatible with the empiricist enactivist position, but not with the nativist enactivist position. PMID:25228895

Enactivism and neonatal imitation: conceptual and empirical considerations and clarifications.

PubMed

Lodder, Paul; Rotteveel, Mark; van Elk, Michiel

2014-01-01

Recently within social cognition it has been argued that understanding others is primarily characterized by dynamic and second person interactive processes, rather than by taking a third person observational stance. Within this enactivist view of intersubjective understanding, researchers differ in their claims regarding the innateness of such processes. Here we proposed to distinguish nativist enactivists-who argue that studies on neonatal imitation support the view that infants already have a non-mentalistic embodied form of intersubjective understanding present at birth-from empiricist enactivists, who claim that those intersubjective processes are learned through social interaction. In this article, we critically examine the empirical studies on neonate imitation and conclude that the available evidence is at least mixed for most types of specific gesture imitations. In the end, only the tongue protrusion imitation appears to be consistent across different studies. If neonates imitate only one single gesture, then a more parsimonious explanation for the tongue protrusion effect could be put forward. Consequently, the nativist enactivist claim that understanding others depends on second person interactive processes already present at birth seems no longer plausible. Although other strands of evidence provide converging evidence for the importance of intersubjective processes in adult social cognition, the available evidence on neonatal imitation calls for a more careful view on the innateness of such processes and suggests that this way of interacting needs to be learned over time. Therefore the available empirical evidence on neonate imitation is in our view compatible with the empiricist enactivist position, but not with the nativist enactivist position.

Teaching 2.0: Teams Keep Teachers and Students Plugged into Technology

ERIC Educational Resources Information Center

Bourgeois, Michelle; Hunt, Bud

2011-01-01

A Colorado district develops a two-year program that gives teacher teams an opportunity to learn how to use digital tools in the classroom. Called the Digital Learning Collaborative, it is built on three things about professional learning: (1) Learning takes time; (2) Learning is a social process; and (3) Learning about technology should be…

Can Learning Motivation Predict Learning Achievement? A Case Study of a Mobile Game-Based English Learning Approach

ERIC Educational Resources Information Center

Tsai, Chia-Hui; Cheng, Ching-Hsue; Yeh, Duen-Yian; Lin, Shih-Yun

2017-01-01

This study applied a quasi-experimental design to investigate the influence and predictive power of learner motivation for achievement, employing a mobile game-based English learning approach. A system called the Happy English Learning System, integrating learning material into a game-based context, was constructed and installed on mobile devices…

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

ERIC Educational Resources Information Center

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

2013-01-01

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

Knowledge as an interactional tool in the management of client empowerment.

PubMed

Moore, John

2016-06-01

To examine the way speaker and recipient knowledge is managed in interaction by a call taker at a mental-health information line, to achieve the institutional goals of information provision and client empowerment. This study utilizes conversation analysis in the analysis of a single call to the line. Analysis demonstrates the ways in which a call taker produces turns-at-talk that construct a caller as knowing what help they wanted prior to that moment in the interaction, and that invoke 'common' knowledge of sources of such help. Talk that orients to knowledge is used as an interactional resource that allows the call taker to avoid talk that may be considered advice, and to be heard to achieve the goal of client empowerment. The asymmetric identities of help-seeker and help-provider are managed in this process. Client empowerment can be seen as something interactionally achieved and managed in talk-in-interaction, while not necessarily objectively experienced by the client. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Bringing the Excitement of Exploring Mars and the Giant Planets to Educators and the Public

NASA Astrophysics Data System (ADS)

Morrow, C. A.; Dusenbery, P. B.; Harold, J.

2003-05-01

We are living in a wonderful era of planetary exploration. In 2004 alone, two rovers will land on Mars and the Cassini-Huygens mission will arrive in the Saturn system for an extended 4-year tour. These events will bring much public attention and provide excellent reasons for substantive educational outreach to educators and the public. The Space Science Institute (SSI) of Boulder, CO and collaborators are responding with a comprehensive array of funded and proposed projects. These include the refurbishment and redeployment of the 5000 sq. ft MarsQuest national traveling exhibition, the launch of a 600 sq. ft. "mini-MarsQuest" called Destination Mars, the launch of an interactive website called "MarsQuest Online" (in partnership with TERC and JPL), a variety of workshops for teachers, museum educators, and planetarians (in partnership with "To Mars with MER", and JPL), and the development of a "Family Guide to Mars" for use by adults and children in informal learning settings. SSI is also proposing to develop another national traveling exhibition called "Giant Planets: Exploring the Outer Solar System". This exhibit (envisioned to be 3500 sq.ft.) and its educational program will take advantage of the excitement generated by the Cassini mission and origins-related research. Its education program will also benefit from SSI having led the development of the "Saturn Educator Guide" - a JPL-sponsored resource for teachers in grades 5 and up. This paper will provide an overview of our resources in planetary science education and communicate the valuable lessons we've learned about their design, development and dissemination. SSI's educational endeavors related to planetary science have been funded by several NASA and NSF grants and contracts.

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

PubMed

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.

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

PubMed Central

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

2014-01-01

Background: 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. 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 6 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. PMID:25002853

Can ship-to-classroom interactions aid in teaching state-mandated curricula to special needs students?

NASA Astrophysics Data System (ADS)

Haddad, A.; Turner, M.; Samuelson, L.; Scientific Team of IODP Expedition 336: Mid-Atlantic Ridge Microbiology

2011-12-01

Cutting edge science is so exciting to elementary-level students with special needs that they are constantly asking for more! We drew on this enthusiasm and developed an interaction between special needs students and scientists performing cutting edge research on and below the ocean floor with the goal of teaching them state-mandated curricula. While on board the JOIDES Resolution during IODP Expedition 336: Mid-Atlantic Ridge Microbiology (Fall 2011), scientists interacted with several special needs classrooms in the Phoenix, Arizona metro area via weekly activities, blogs, question-and-answer sessions and Skype calls revolving around ocean exploration. All interactions were developed to address Arizona Department of Education curriculum standards in reading, writing, math and science and tailored to the learning needs of the students. Since the usual modalities of teaching (lecturing, Powerpoint presentations, independent reading) are ineffective in teaching students with special needs, we employed as much hands-on, active student participation as possible. The interactions were also easily adaptable to include every student regardless of the nature of their special needs. The effectiveness of these interactions in teaching mandated standards was evaluated using pre- and post-assessments and are presented here. Our goal is to demonstrate that special needs students benefit from being exposed to real-time science applications.

Lifeworthy Learning

ERIC Educational Resources Information Center

Perkins, David N.

2016-01-01

What learning really matters for today's learners? In this article, David N. Perkins promises not to provide the answer, but rather to consider how we might think about the question. Learning that matters--which he calls lifeworthy learning--is characterized by four earmarks: opportunity, insight, action, and ethics. Educators should ask…

On Entrepreneurial Education: Dilemmas and Tensions in Nonformal Learning

ERIC Educational Resources Information Center

Pantea, Maria-Carmen

2016-01-01

This paper revisits the current policy assumptions on youth entrepreneurship and their possible implications on entrepreneurial learning in nonformal settings. Based on secondary literature analysis, it interrogates the nonformal learning practices that promote entrepreneurship and calls for entrepreneurial learning to incorporate higher awareness…

Vocational Learning outside Institutions: Online Pedagogy and Deschooling.

ERIC Educational Resources Information Center

Whittington, Dave; McLean, Alan

2001-01-01

Using Illich's "Deschooling Society" as a framework, argues that online learning's flexibility and capacity to support dialogue will profoundly change vocational learning and challenge established institutions' dominance in vocational education and training. Calls for an inclusive approach involving informal learning and access for those…

Making Work and Learning More Visible by Reflective Practice

ERIC Educational Resources Information Center

Tikkamäki, Kati; Hilden, Sanna

2014-01-01

Several characteristics are necessary to have a flourishing workplace: one is organisational learning. Modern workplaces call for individual responsibility, ability, and willingness to share expertise, as well as continuous learning. However, critical elements of the process of organisational learning -- participating, knowing, cooperating and…

Intelligent Computer-Assisted Language Learning.

ERIC Educational Resources Information Center

Harrington, Michael

1996-01-01

Introduces the field of intelligent computer assisted language learning (ICALL) and relates them to current practice in computer assisted language learning (CALL) and second language learning. Points out that ICALL applies expertise from artificial intelligence and the computer and cognitive sciences to the development of language learning…

Generalized SMO algorithm for SVM-based multitask learning.

PubMed

Cai, Feng; Cherkassky, Vladimir

2012-06-01

Exploiting additional information to improve traditional inductive learning is an active research area in machine learning. In many supervised-learning applications, training data can be naturally separated into several groups, and incorporating this group information into learning may improve generalization. Recently, Vapnik proposed a general approach to formalizing such problems, known as "learning with structured data" and its support vector machine (SVM) based optimization formulation called SVM+. Liang and Cherkassky showed the connection between SVM+ and multitask learning (MTL) approaches in machine learning, and proposed an SVM-based formulation for MTL called SVM+MTL for classification. Training the SVM+MTL classifier requires the solution of a large quadratic programming optimization problem which scales as O(n(3)) with sample size n. So there is a need to develop computationally efficient algorithms for implementing SVM+MTL. This brief generalizes Platt's sequential minimal optimization (SMO) algorithm to the SVM+MTL setting. Empirical results show that, for typical SVM+MTL problems, the proposed generalized SMO achieves over 100 times speed-up, in comparison with general-purpose optimization routines.

Predicting drug-target interactions using restricted Boltzmann machines.

PubMed

Wang, Yuhao; Zeng, Jianyang

2013-07-01

In silico prediction of drug-target interactions plays an important role toward identifying and developing new uses of existing or abandoned drugs. Network-based approaches have recently become a popular tool for discovering new drug-target interactions (DTIs). Unfortunately, most of these network-based approaches can only predict binary interactions between drugs and targets, and information about different types of interactions has not been well exploited for DTI prediction in previous studies. On the other hand, incorporating additional information about drug-target relationships or drug modes of action can improve prediction of DTIs. Furthermore, the predicted types of DTIs can broaden our understanding about the molecular basis of drug action. We propose a first machine learning approach to integrate multiple types of DTIs and predict unknown drug-target relationships or drug modes of action. We cast the new DTI prediction problem into a two-layer graphical model, called restricted Boltzmann machine, and apply a practical learning algorithm to train our model and make predictions. Tests on two public databases show that our restricted Boltzmann machine model can effectively capture the latent features of a DTI network and achieve excellent performance on predicting different types of DTIs, with the area under precision-recall curve up to 89.6. In addition, we demonstrate that integrating multiple types of DTIs can significantly outperform other predictions either by simply mixing multiple types of interactions without distinction or using only a single interaction type. Further tests show that our approach can infer a high fraction of novel DTIs that has been validated by known experiments in the literature or other databases. These results indicate that our approach can have highly practical relevance to DTI prediction and drug repositioning, and hence advance the drug discovery process. Software and datasets are available on request. Supplementary data are available at Bioinformatics online.

Learning, Realizability and Games in Classical Arithmetic

NASA Astrophysics Data System (ADS)

Aschieri, Federico

2010-12-01

In this dissertation we provide mathematical evidence that the concept of learning can be used to give a new and intuitive computational semantics of classical proofs in various fragments of Predicative Arithmetic. First, we extend Kreisel modified realizability to a classical fragment of first order Arithmetic, Heyting Arithmetic plus EM1 (Excluded middle axiom restricted to Sigma^0_1 formulas). We introduce a new realizability semantics we call "Interactive Learning-Based Realizability". Our realizers are self-correcting programs, which learn from their errors and evolve through time. Secondly, we extend the class of learning based realizers to a classical version PCFclass of PCF and, then, compare the resulting notion of realizability with Coquand game semantics and prove a full soundness and completeness result. In particular, we show there is a one-to-one correspondence between realizers and recursive winning strategies in the 1-Backtracking version of Tarski games. Third, we provide a complete and fully detailed constructive analysis of learning as it arises in learning based realizability for HA+EM1, Avigad's update procedures and epsilon substitution method for Peano Arithmetic PA. We present new constructive techniques to bound the length of learning processes and we apply them to reprove - by means of our theory - the classic result of Godel that provably total functions of PA can be represented in Godel's system T. Last, we give an axiomatization of the kind of learning that is needed to computationally interpret Predicative classical second order Arithmetic. Our work is an extension of Avigad's and generalizes the concept of update procedure to the transfinite case. Transfinite update procedures have to learn values of transfinite sequences of non computable functions in order to extract witnesses from classical proofs.

Confidential close call reporting system (C3RS) lessons learned team baseline phased report

DOT National Transportation Integrated Search

2015-05-08

The Federal Railroad Administration (FRA) has established a program called the Confidential Close Call Reporting System : (C3RS), which allows events to be reported anonymously and dealt with non-punitively and without fear or reprisal through : stru...

Confidential close call reporting system (C3RS) lessons learned team baseline phase report.

DOT National Transportation Integrated Search

2015-05-01

The Federal Railroad Administration (FRA) has established a program called the Confidential Close Call Reporting System : (C3 : RS), which allows events to be reported anonymously and dealt with non-punitively and without fear or reprisal through : s...

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

PubMed Central

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

Self-Directed Lifelong Learning in Hybrid Learning Configurations

ERIC Educational Resources Information Center

Cremers, Petra H. M.; Wals, Arjen E. J.; Wesselink, Renate; Nieveen, Nienke; Mulder, Martin

2014-01-01

Present-day students are expected to be lifelong learners throughout their working life. Higher education must therefore prepare students to self-direct their learning beyond formal education, in real-life working settings. This can be achieved in so-called hybrid learning configurations in which working and learning are integrated. In such a…

Learning Initiatives in the Residential Setting. The First-Year Experience Monograph Series No. 48

ERIC Educational Resources Information Center

Luna, Gene, Ed.; Gahagan, Jimmie, Ed.

2008-01-01

In 2004, "Learning Reconsidered" urged educators to think more holistically about student learning and development. "Learning Initiatives in the Residential Setting" provides a framework for putting this call into action at large universities and small colleges alike. Chapters trace the history of learning in residence halls, discuss academic and…

Where's the Learning in Higher Learning?

ERIC Educational Resources Information Center

Keeling, Richard P.; Hersh, Richard H.

2012-01-01

While cost and completion are important issues, they are not the fundamental problems that have put higher learning in crisis. What calls for urgent attention is low "value"--a critical deficit in the quality and quantity of learning in college. To state it as plainly as possible: Most students graduate without learning enough. There is no longer…

Software Application for Computer Aided Vocabulary Learning in a Blended Learning Environment

ERIC Educational Resources Information Center

Essam, Rasha

2010-01-01

This study focuses on the effect of computer-aided vocabulary learning software called "ArabCAVL" on students' vocabulary acquisition. It was hypothesized that students who use the ArabCAVL software in blended learning environment will surpass students who use traditional vocabulary learning strategies in face-to-face learning…

Teaching Strategies to Promote Concept Learning by Design Challenges

ERIC Educational Resources Information Center

Van Breukelen, Dave; Van Meel, Adrianus; De Vries, Marc

2017-01-01

Background: This study is the second study of a design-based research, organised around four studies, that aims to improve student learning, teaching skills and teacher training concerning the design-based learning approach called Learning by Design (LBD). Purpose: LBD uses the context of design challenges to learn, among other things, science.…

Cognitive Anatomy of Tutor Learning: Lessons Learned with SimStudent

ERIC Educational Resources Information Center

Matsuda, Noboru; Yarzebinski, Evelyn; Keiser, Victoria; Raizada, Rohan; Cohen, William W.; Stylianides, Gabriel J.; Koedinger, Kenneth R.

2013-01-01

This article describes an advanced learning technology used to investigate hypotheses about learning by teaching. The proposed technology is an instance of a teachable agent, called SimStudent, that learns skills (e.g., for solving linear equations) from examples and from feedback on performance. SimStudent has been integrated into an online,…

Web 2.0 in Computer-Assisted Language Learning: A Research Synthesis and Implications for Instructional Design and Educational Practice

ERIC Educational Resources Information Center

Parmaxi, Antigoni; Zaphiris, Panayiotis

2017-01-01

This study explores the research development pertaining to the use of Web 2.0 technologies in the field of Computer-Assisted Language Learning (CALL). Published research manuscripts related to the use of Web 2.0 tools in CALL have been explored, and the following research foci have been determined: (1) Web 2.0 tools that dominate second/foreign…

Materials Development in Three Italian CALL Projects: Seeking an Optimal Mix between In-Class and Out-of-Class Learning

ERIC Educational Resources Information Center

Levy, Mike; Kennedy, Claire

2010-01-01

This paper considers the design and development of CALL materials with the aim of achieving an optimal mix between in-class and out-of-class learning in the context of teaching Italian at an Australian university. The authors discuss three projects in relation to the following themes: (a) conceptions of the in-class/out-of-class relationship, (b)…

Automating Rule Strengths in Expert Systems.

DTIC Science & Technology

1987-05-01

systems were designed in an incremental, iterative way. One of the most easily identifiable phases in this process, sometimes called tuning, consists...attenuators. The designer of the knowledge-based system must determine (synthesize) or adjust (xfine, if estimates of the values are given) these...values. We consider two ways in which the designer can learn the values. We call the first model of learning the complete case and the second model the

Dynamic Interactive Learning Systems

ERIC Educational Resources Information Center

Sabry, Khaled; Barker, Jeff

2009-01-01

This paper reviews and discusses the notions of interactivity and dynamicity of learning systems in relation to information technologies and design principles that can contribute to interactive and dynamic learning. It explores the concept of dynamic interactive learning systems based on the emerging generation of information as part of a…

Interactive Multimedia-Based E-Learning: A Study of Effectiveness

ERIC Educational Resources Information Center

Zhang, Dongsong

2005-01-01

The author conducted two experiments to assess effectiveness of interactive e-learning. Students in a fully interactive multimedia-based e-learning environment achieved better performance and higher levels of satisfaction than those in a traditional classroom and those in a less interactive e-learning environment.

Group Modeling in Social Learning Environments

ERIC Educational Resources Information Center

Stankov, Slavomir; Glavinic, Vlado; Krpan, Divna

2012-01-01

Students' collaboration while learning could provide better learning environments. Collaboration assumes social interactions which occur in student groups. Social theories emphasize positive influence of such interactions on learning. In order to create an appropriate learning environment that enables social interactions, it is important to…

Myths about Technology-Supported Professional Learning

ERIC Educational Resources Information Center

Killion, Joellen; Treacy, Barbara

2014-01-01

The future of professional learning is shaped by its present and past. As new technologies emerge to increase affordability, access, and appropriateness of professional learning, three beliefs are visible in current practices related to online learning. Each contains a premise that merits identification and examination. The authors call these…

Improving Organizational Learning through Leadership Training

ERIC Educational Resources Information Center

Hasson, Henna; von Thiele Schwarz, Ulrica; Holmstrom, Stefan; Karanika-Murray, Maria; Tafvelin, Susanne

2016-01-01

Purpose: This paper aims to evaluate whether training of managers at workplaces can improve organizational learning. Managers play a crucial role in providing opportunities to employees for learning. Although scholars have called for intervention research on the effects of leadership development on organizational learning, no such research is…

Agile Learning: Sprinting through the Semester

ERIC Educational Resources Information Center

Lang, Guido

2017-01-01

This paper introduces agile learning, a novel pedagogical approach that applies the processes and principles of agile software development to the context of learning. Agile learning is characterized by short project cycles, called sprints, in which a usable deliverable is fully planned, designed, built, tested, reviewed, and launched. An…

Bottlenose dolphins can use learned vocal labels to address each other

PubMed Central

King, Stephanie L.; Janik, Vincent M.

2013-01-01

In animal communication research, vocal labeling refers to incidents in which an animal consistently uses a specific acoustic signal when presented with a specific object or class of objects. Labeling with learned signals is a foundation of human language but is notably rare in nonhuman communication systems. In natural animal systems, labeling often occurs with signals that are not influenced by learning, such as in alarm and food calling. There is a suggestion, however, that some species use learned signals to label conspecific individuals in their own communication system when mimicking individually distinctive calls. Bottlenose dolphins (Tursiops truncatus) are a promising animal for exploration in this area because they are capable of vocal production learning and can learn to use arbitrary signals to report the presence or absence of objects. Bottlenose dolphins develop their own unique identity signal, the signature whistle. This whistle encodes individual identity independently of voice features. The copying of signature whistles may therefore allow animals to label or address one another. Here, we show that wild bottlenose dolphins respond to hearing a copy of their own signature whistle by calling back. Animals did not respond to whistles that were not their own signature. This study provides compelling evidence that a dolphin’s learned identity signal is used as a label when addressing conspecifics. Bottlenose dolphins therefore appear to be unique as nonhuman mammals to use learned signals as individually specific labels for different social companions in their own natural communication system. PMID:23878217