Postdramatic Theatre of Director Christoph Marthaler

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Arina R. Shevchenko

2017-11-01

Full Text Available The present paper deals with the main tendencies of modern European theatre represented in the creativity of a famous Swiss director Christoph Marthaler. Drama and theatre of the end of the 20th – the beginning of the 21st century were exposed to radical transformation. This change has been reflected in the theory of postdramatic theatre. A contemporary theatre is becoming more visual. Nowadays natural theatrical synthesis of various arts – visual, plastic, verbal, musical becomes an intersection of all kinds of artistic and medial practices as it has never been before. The new drama and theatre decline mimesis as the main principle of attitude to reality, they do not depict and do not reflect life, but strive to create a magic and/or ritual space of performative living and a special type of communication with audience. These peculiarities of modern theatre get a vivid evocation in the works of Christoph Marthaler. Having entered into theatre from music, the director creates his own unique language of art. The article proves that Marthaler’s works are an individual model of postdramatic theatre. The author concludes that its main distinctive feature is to blur the border between musical and dramatic performance. Marthaler does not stage the play – the images appear from musical phrases, fleeting impressions, observations and dramatic improvisations. The analysis enables to claim that the theatre in a real process of performance replaces the mimetic acting today. The applied principles of drama analysis can be used in studying of the other contemporary postdramatic theatre’s models.

CAT/RF Simulation Lessons Learned

Science.gov (United States)

2003-06-11

IVSS-2003-MAS-7 CAT /RF Simulation Lessons Learned Christopher Mocnik Vetronics Technology Area, RDECOM TARDEC Tim Lee DCS Corporation...developed a re- configurable Unmanned Ground Vehicle (UGV) simulation for the Crew integration and Automation Test bed ( CAT ) and Robotics Follower (RF...Advanced Technology Demonstration (ATD) experiments. This simulation was developed as a component of the Embedded Simulation System (ESS) of the CAT

Sõltumatud kodanikud otsustavad superriigi juhi saatuse / Christopher Kukk ; interv. Priit Pullerits

Index Scriptorium Estoniae

Kukk, Christopher

2008-01-01

Eesti päritolu Lääne-Connecticuti politoloogiaprofessor vastab küsimustele, mis puudutavad USA presidendivalimisi ja presidendikandidaatide Barack Obama ja John McCaini võimalusi. Vt. samas: Kes on Christopher Kukk?

Ajakirjanik Bollyn : parvlaev Estonia uputati / Christopher Bollyn ; interv. Mirko Ojakivi

Index Scriptorium Estoniae

Bollyn, Christopher

2005-01-01

American Free Pressile töötav ajakirjanik Christopher Bollyn üritab saada kinnitust teooriale, et 1994. aasta sügisel veeti Estonial kõrgtehnoloogilist relvastust või kosmosetehnikat, mis pidi USA-sse jõudma. Kuna tehingu käigus kerkisid esile segavad asjaolud, uputati parvlaev ja tähtsamad tunnistajad "tehti kahjutuks"

Tunne Kelam - kolleeg ja sõber / Christopher Beazley, Elmar Bork, Ari Vatanen ...[jt.

Index Scriptorium Estoniae

2009-01-01

Euroopa Parlamendi väliskomisjoni liikmed Christopher Beazley, Elmar Bork, Ari Vatanen, Leedu Vabariigi president Valdas Adamkus, Euroopa Parlamendi asepresident Alejo Vidal-Quadras ja Euroopa Parlamendi president Hans-Gert Pöttering Tunne Kelamist

Zellweger : kusagil on ikka üks suurem plaan / Christoph Zellweger ; interv. K. M.

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Zellweger, Christoph

2002-01-01

Šveitsi-austria päritolu, praegu Inglismaal elav ja töötav ehtekunstnik Christoph Zellweger endast, oma loomingust, mida tema tööd kajastavad, ehtekunsti väljavaadetest, implantaatidest, eesti ehetest jm.

Christopher Bayly as a Pioneer of Global History

Institute of Scientific and Technical Information of China (English)

Richard Drayton[1

2015-01-01

Christopher Bayly, who died in Chicago on April 18, 2015 at the age of 69, was the preeminent historian of India and the British Empire, a key pioneer of the field of global history, perhaps the most gifted Britishborn historian of his generation. In 2007 he was the first scholar to be knighted by the British government “for services to history outside of Europe”. His adult life was anchored in the University of Cambridge, where he was Fellow of St. Catharine’s College from 1970, and Vere Harmsworth Professor of Imperial and Naval History (1992 to 2013).

Christoph Kucklick: Das unmoralische Geschlecht. Zur Genese der negativen Andrologie. Frankfurt am Main: Suhrkamp Verlag 2008.

Directory of Open Access Journals (Sweden)

Esther Suzanne Pabst

2009-11-01

Full Text Available Christoph Kucklick rekonstruiert auf der Grundlage von zeitgenössischen Schriften Männlichkeitsentwürfe um 1800. In einer systemtheoretischen Ausrichtung deutet er die zu dieser Zeit entstehenden Geschlechtersemantiken als Ergebnis der funktionalen Differenzierung der modernen Gesellschaft. Damit wirft er einen neuen Blick auf die Geschlechterdebatten der Aufklärung, der bislang wenig untersuchte Entstehungs- und Begründungszusammenhänge moderner Männlichkeitskonstruktionen sichtbar macht. Kucklicks Behauptung, erstmals aufgedeckt zu haben, dass der aufklärerische Geschlechterdiskurs durch einen historisch neuen Zweifel an Männlichkeit bedingt sei, ist jedoch ebenso wenig haltbar wie seine provokative Forderung, dass die systemtheoretische Perspektive den machttheoretischen Ansatz ablösen solle.Christoph Kucklick reconstructs constructions of masculinity around 1800 on the basis of contemporary writings. Utilizing an approach informed by systems theory, he suggests that gender semantics developing at this time are the result of functional differentiation in modern society. He thus sheds new light on the gender debates of the enlightenment and makes visible those, till now unexamined, developmental and motivational correlations to modern masculinity constructions. Kucklick’s assertion to have been the first to uncover the fact that gender discourse in the enlightenment is contingent on new historical doubt toward masculinity, however, is as untenable as his provocative call for the replacement of the power-theoretical approach with the system-theoretical perspective.

NASA Langley/CNU Distance Learning Programs.

Science.gov (United States)

Caton, Randall; Pinelli, Thomas E.

NASA Langley Research Center and Christopher Newport University (CNU) provide, free to the public, distance learning programs that focus on math, science, and/or technology over a spectrum of education levels from K-adult. The effort started in 1997, and currently there are a suite of five distance-learning programs. This paper presents the major…

Introduction to the study of natural history edited and annotated by Christoph Irmscher

CERN Document Server

2017-01-01

This book features Louis Agassiz’s seminal lecture course in which the Swiss-American scientist, a self-styled “American Humboldt,” summarized the state of zoological knowledge in his time. Though Darwin’s theory of evolution would soon dismantle his idealist science, Agassiz’s lectures are nonetheless modern in their insistence on the social and cultural importance of the scientific enterprise. An extensive, well-illustrated introduction by Agassiz’s biographer, Christoph Irmscher, situates Agassiz’s lectures in the context of his life and nineteenth-century science, while also confronting the deeply problematic aspects of his legacy. Profusely annotated, this edition offers fascinating insights into the history of science and appeals to anyone with an interest in zoology and natural history. “Christoph Irmscher provides a scholarly and insightful analysis of the intentions and beliefs of Louis Agassiz, a larger-than-life scientist of the mid-19th century and fierce opponent of Charles Darwi...

Beyond the walls of the lunatic asylum: Christopher Hope’s early fiction

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F. Wood

2004-07-01

Full Text Available This article examines an under-explored aspect of Christopher Hope’s early fiction: its capacity to suggest the potential for imaginative and psychological freedom through its comic, carnivalesque qualities. Hope produced various novels and stories set in South Africa during the 1950s and 1960s, including A Separate Development (1981, Black Swan (1987 and the short story collection Learning to Fly (1990. It is argued that Hope’s vision in these works tends to be perceived as essentially satirical, ultimately limited by bleakness and pessimism; while the carnivalesque, potentially liberatory aspects of his writing tend to be overlooked. By utilising comic and carnivalesque features Hope’s work indeed offers creative, liberated ways of apprehending reality. Mikhail Bakhtin’s discussion of the ability of the carnivalesque to open up new ways of seeing, through the “nonofficial” versions of reality that it proffers, is particularly relevant in this regard. It is argued that this latter aspect of Hope’s work is especially significant, bearing in mind the sense of constraint and confinement that seemed to dominate much of South African fiction during the apartheid era and that still remains a key concern in many postapartheid novels.

Christopher Candland, Labor, Democratization and Development in India and Pakistan

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Lionel Baixas

2008-10-01

Full Text Available This book, by Christopher Candland, sets out to provide a documented analytical and empirical study of the linkages between organized labor, development, and democratization in India and Pakistan from the colonial period till date. It attempts to explain why sustained economic growth has not led to a significant diminution of poverty in either of these countries. The overall argument is that only rights-based organized labor unions can allow “the transformation of wealth into well-being”. Uni...

Christoph Rothmann's discourse on the comet of 1585 an edition and translation with accompanying essays

CERN Document Server

Granada, Miguel A; Jardine, Nicholas

2014-01-01

Christoph Rothmann's Discourse on the Comet of 1585 offers the first edition of the Latin treatise after it was published in 1619. It is accompanied by an English translation and a full introduction and commentary.

Wittgenstein, Social Views and Intransitive Learning

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Bøyum, Steinar

2013-01-01

Wittgenstein often refers to matters of learning, and there have been efforts to extract a social conception of learning from his writings. In the first half of this article, I look at three such efforts, those of Meredith Williams, Christopher Winch, and David Bakhurst, and I say why I think these efforts fail. As I go on to argue, though, there…

Uus linnaökoloogia = New Urban Ecology / Christopher Moller ; interv. Triin Ojari

Index Scriptorium Estoniae

Moller, Christopher

2005-01-01

Arhitekt Christopher Moller (sünd. 1961, Uus-Meremaa) rajas 1997. a. koos Burton Hamfelti (Kanada), Jonathan Woodroffe'i ja Dominic Papaga (Inglismaa) Amsterdamis büroo S333. Büroo lähenemisest linnaplaneerimisele, Europani võidutöö järgi valminud Groningeni elamukompleksist Schots 1+2, Nieuw-Vennepi linnakeskuse projektist (2000-), kvaliteetruumist, linnaökoloogiast, Tallinna ja siinsete arhitektide võimalustest jm. 7 ill

A Nobel Prize for empirical macroeconometrics: assessing the contributions of Thomas Sargent and Christopher Sims

NARCIS (Netherlands)

Boumans, M.; Sent, E.M.

2013-01-01

This paper provides an assessment of the contributions of the 2011 Nobel Prize winners, Thomas Sargent and Christopher Sims. They received the prize ‘for their empirical research on cause and effect in the macroeconomy’. The paper illustrates that Sargent entertained different interpretations of

Education and the Transformation of Bourgeois Culture: Toward a Critique of Christopher Lasch's "Culture of Narcissism."

Science.gov (United States)

Shapiro, H. Svi

1983-01-01

Contemporary theories about the nature of modern bourgeois culture are reviewed briefly, and the contradictions of that culture are stressed. Christopher Lasch's criticisms of American schools in "The Culture of Narcissism" fail to recognize that self-liberating practices may stimulate intellectual growth. (PP)

Rezension zu: Christoph Kucklick: Das unmoralische Geschlecht. Zur Genese der negativen Andrologie. Frankfurt am Main: Suhrkamp Verlag 2008.

Directory of Open Access Journals (Sweden)

Esther Suzanne Pabst

2009-10-01

Full Text Available Christoph Kucklick reconstructs constructions of masculinity around 1800 on the basis of contemporary writings. Utilizing an approach informed by systems theory, he suggests that gender semantics developing at this time are the result of functional differentiation in modern society. He thus sheds new light on the gender debates of the enlightenment and makes visible those, till now unexamined, developmental and motivational correlations to modern masculinity constructions. Kucklick’s assertion to have been the first to uncover the fact that gender discourse in the enlightenment is contingent on new historical doubt toward masculinity, however, is as untenable as his provocative call for the replacement of the power-theoretical approach with the system-theoretical perspective.

Between Copernicus and Galileo Christoph Clavius and the Collapse of Ptolemaic Cosmology

CERN Document Server

Lattis, James M

1994-01-01

Between Copernicus and Galileo is the story of Christoph Clavius, the Jesuit astronomer and teacher whose work helped set the standards by which Galileo's famous claims appeared so radical, and whose teachings guided the intellectual and scientific agenda of the Church in the central years of the Scientific Revolution. Though relatively unknown today, Clavius was enormously influential throughout Europe in the late sixteenth and early seventeenth centuries through his astronomy books—the standard texts used in many colleges and universities, and the tools with which Descartes, Gassendi, and Me

Arqueologia da memória: reflexões a partir de Christoph Türcke

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Marcela Lopes Gomes

2015-01-01

Full Text Available This article discusses the genesis of memory in archaeology of mental processes from the ref lections developed by german philosopher Christoph Türcke in his work Philosophie des Traums (Original in German, a. This is a study that used the methodological feature of literature research. It discusses the emerging of memory as an attempt to release the tormentors stimuli through the process of compulsion to traumatic repetition, considered the only genuinely human drive by Türcke ( a.

From author to translator. Re-readings on Christopher Columbus’s Journal (1972-1992)

OpenAIRE

Ana Inés Leunda

2017-01-01

In this article, we seek to: i) draw a “map of positions” derived from readings of Christopher Columbus’s Journal by Latin American novelists between 1972 and 1992, particularly those disparately incorporating fragments of the Journal in a disparate way, such as Severo Sarduy’s Cobra (1972) and Alejo Carpetier’s El arpa y la sombra (1979), and Graciela Freilich’s Colombina descubierta (1991) and Augusto Roa Bastos’ Vigilia del Almirante (1992); ii) to consider in each one of them the presence...

The Bible as Transformational Object: The Psychoanalytic Theories of Christopher Bollas and Their Relevance for Religious Educators

Science.gov (United States)

DeGear, Elizabeth Berne

2016-01-01

This article examines the psychoanalytic concepts of object-relations theorist Christopher Bollas, applying them to a view of the Bible as "transformational object." Emphasizing the connection between psychological process and religious experience, this article suggests that each person's innate ability to choose and use objects is a key…

"Brilliant, Bright, Boiling Words": Literary Disability, Language and the Writing Body in the Work of Christopher Nolan

Science.gov (United States)

Coogan, Tom

2012-01-01

This article uses theory on disability, embodiment and language to explore the production, context and presentation of two pieces of life-writing by Christopher Nolan. It examines Nolan's unusual use of language and form in his presentations of an experience of disability, and considers its literary and political significance. Consideration is…

Christopher E. Forth et Bertrand Taithe (dir, French Masculinities: History, Culture and Politics

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Régis Revenin

2007-11-01

Full Text Available Cet ouvrage collectif, dirigé par Christopher E. Forth, historien à l’Australian National University à Canberra [Australie], et par Bertrand Taithe, professeur d’histoire culturelle à l’Université de Manchester [Royaume-Uni], offre une très intéressante contribution, en langue anglaise, à l’histoire du genre en France, particulièrement à l’histoire des hommes et des masculinités à l’époque contemporaine.L’ouvrage propose une très riche introduction sous la plume des deux directeurs d’ouvrage,...

Christophe Couderc, Le théâtre tragique au Siècle d’or. Cristóbal de Virués, Lope de Vega, Calderón de la Barca - Christophe Couderc and Hélène Tropé, eds., La tragédie espagnole et son contexte européen. xvie-xviie siècles

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Luigi Giuliani

2015-01-01

Full Text Available Review of Christophe Couderc, Le théâtre tragique au Siècle d’or. Cristóbal de Virués, Lope de Vega, Calderón de la Barca, CNED, Paris, 2012, 170 pp. ISBN: 978213060871 and Christophe Couderc and Hélène Tropé, eds., La tragédie espagnole et son contexte européen. xvie-xviie siècles, Presses Sorbonne Nouvelle, Paris, 2013, 266 pp. ISBN: 9782878546118.

Christopher Columbus, Hernando Cortes, and Francisco Pizzaro: A Qualitative Content Analysis Examining Cultural Bias in World History Textbooks

Science.gov (United States)

Lillejord, Jebadiah Serril

2013-01-01

The purpose of this study is to investigate to what extent contemporary high school world history textbooks portray Christopher Columbus, Hernán Cortés, and Francisco Pizarro within the context of being "sacred," "profane," or someplace in between. To evaluate for existence of content bias this study employed qualitative…

Learning Companion Systems, Social Learning Systems, and the Global Social Learning Club.

Science.gov (United States)

Chan, Tak-Wai

1996-01-01

Describes the development of learning companion systems and their contributions to the class of social learning systems that integrate artificial intelligence agents and use machine learning to tutor and interact with students. Outlines initial social learning projects, their programming languages, and weakness. Future improvements will include…

The Evolution of a Science Project: A Preliminary System Dynamics Model of a Recurring Software-Reliant Acquisition Behavior

Science.gov (United States)

2012-07-01

Complexity?” Proceedings of the Third Annual Conference on Software- Intensive Systems Acquisition, January 2004. [ Bandura 1986] Bandura , Albert ...Andrew P. Moore Christopher Alberts July 2012 TECHNICAL REPORT CMU/SEI-2012-TR-001 ESC-TR-2012-001 Acquisition Support Program http...an operational environment [ Bandura 1986]. Creating interactive experiential learning tools such as “flight simulators” for use in the classroom is

Caught in a Narrow Kantian Perception of Prosocial Development: Reactions to Campbell and Christopher's Critique of Moral Development Theory.

Science.gov (United States)

Eisenberg, Nancy

1996-01-01

Discusses the limitations of Campbell and Christopher's literature on moral development and altruism, claiming that the authors based some of their conclusions on questionable definitions, incorrect assumptions about others' assertions and beliefs, and reference to a limited portion of prosocial behavior. Suggests that Kantian presuppositions play…

Christopher R. Fee & David A. Leeming. Gods, Heroes, and Kings. The Battle for Mythic Britain

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Sophie ALATORRE

2006-06-01

Full Text Available A reassessment of British mythology has long been overdue, and Gods, Heroes and Kings is to be regarded as a stimulating contribution which helps to situate Anglo-Saxon tales in the mainstream of Medieval literature. Myths, pagan and Judeo-Christian beliefs, classical narratives: such vast material forms the backcloth Christopher F. Fee and David A. Leeming have undertaken to explore, thanks to an erudite comparative approach. Obviously, their book first aims at giving readers a new image of ...

Renaissance Epyllions: A Comparative Reading of Christopher Marlowe's "Hero and Leander," Thomas Lodge's "Scylla's Metamorphosis" and Francis Beaumont's "Salmacis and Hermaphroditus"

Science.gov (United States)

Mahmoudi, Yazdan

2016-01-01

The present paper is supposed to compare and contrast three of these masterpieces written the Renaissance period. The epyllions under study are Christopher Marlowe's "Hero and Leander," Thomas Lodge's "Scylla's Metamorphosis" and Francis Beaumont's "Salmacis and Hermaphroditus." Bush believes that "the influence…

High resolution carbon isotope stratigraphy and glendonite occurrences of the Christopher Formation, Sverdrup Basin (Axel Heiberg Island, Canada): implications for mid Cretaceous high latitude climate change

Science.gov (United States)

Herrle, Jens O.; Schröder-Adams, Claudia J.; Galloway, Jennifer M.; Pugh, Adam T.

2013-04-01

Understanding the evolution of Canada's Arctic region, as a crucial component of Earth's climate system, is fundamental to assess short and long-term climate, environmental, and paleogeographic change. However, the stratigraphy and paleoenvironmental evolution of the Cretaceous Arctic is poorly constrained and a detailed bio- and chemostratigraphic correlation of major mid-Cretaceous paleoceanographic turning points such as Oceanic Anoxic Events, cold snaps, and biotic turnovers with key locations of the high- and low latitudes is missing. Here we present for the first time a high resolution bio- and carbon isotope stratigraphy of the Arctic Albian Christopher Formation of the Sverdrup Basin at Glacier Fiord in the southern part of Axel Heiberg Island, Canadian High Arctic. By using these techniques we developed a high temporal framework to record major environmental changes as it is indicated by the occurrence of glendonites and sandstone intervals of our studied Albian succession. The Albian Christopher Formation is a shale dominated marine unit with a thickness of approximately 1200 m. Several transgressive/ regressive cycles can be recognized by prograding shoreface units that break up mudrock deposition. In addition, glendonites are mainly found in the lower part of the Christopher Formation. Glendonites are pseudomorphs of calcite, after the metastable mineral ikaite, and have been often described from high latitude Permian, Jurassic and Cretaceous marine environments from the Canadian Arctic, Spitsbergen and Australia. The formation of glendonites takes place in the uppermost layer of the sediment and requires near-freezing temperatures, high salinity, and orthophosphate-rich bottom water. Although the presence of glendonites implies a range of paleoenvironmental conditions there is a consensus in the scientific literature that they reflect cooler paleoenvironmental conditions. Preliminary bio- and carbon isotope stratigraphic results suggest that the

Interorganizational learning systems

DEFF Research Database (Denmark)

Hjalager, Anne-Mette

1999-01-01

The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from...... organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force is exclude...... from learning), and S-learning (learning in social networks or clans). The situation related to service industries illustrates the typology....

Miks ohverdada veel üks põlvkond? / Christopher õBeazley ; interv. Berit Teeäär

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õBeazley, Christopher

2008-01-01

Euroopa Parlamendi Balti-Euroopa tugirühma esimees Christopher Beazley vastab küsimustele, mis puudutavad tema huvi Balti riikide ja Läänemere regiooni vastu, Läänemere piirkonnas paiknevate Euroopa Liidu vanade ja uute liikmesriikide kontseptuaalsete erinevuste tõttu tekkida võivaid lahkhelisid, Euroopa Liidu ja Venemaa suhete seisu ja arenguperspektiive, liidu ühise välispoliitika kujunemise võimalikkust, Kaliningradi oblasti demilitariseerimist ning selle enklaavi muutmist Euroopa Liidu ja Venemaa vahelise vabakaubanduse pilootprojektiks, Läänemere ökoloogilise olukorra parandamist

The Influence of Gustav Freytag’s Dramatic Theory of “Well- Tailored Pieces” on the Modern Film Dramaturgy as Embodied in The Writer’s Journey by Christopher Vogler

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Marina Milivojević-Mađarev

2013-05-01

Full Text Available Film is art prone to consumption of the latest technological accomplishments and we are witnessing its break into the third dimension (for example Avatar.... Film with its technology is a complete product of the second decade of XXI century, but the structure of the stories presented by the modern technology belongs to XIX century. Why does film need the ‘old- fashioned’ dramaturgy? Does that mean that technologies change but not the human need for telling good, old stories? Why have old forms proved to be the best for presentation of new media and technology? Have we at least managed to move a bit further from XIX century? What can we learn about all this when we compare works of Gustav Freytag and Christopher Vogler?

A Programmable Microkernel for Real-Time Systems

Science.gov (United States)

2003-06-01

A Programmable Microkernel for Real - Time Systems Christoph M. Kirsch Thomas A. Henzinger Marco A.A. Sanvido Report No. UCB/CSD-3-1250 June 2003...TITLE AND SUBTITLE A Programmable Microkernel for Real - Time Systems 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S...THIS PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 A Programmable Microkernel for Real - Time Systems ∗ Christoph M

Bowery to Broadway. The American Irish in Classic Hollywood Cinema (Christopher Shannon & New Irish Storytellers. Narrative Strategies in Film (Díóg O’Connell

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Carlos Menéndez-Otero

2011-03-01

Full Text Available Reseñas de los libros de cine Bowery to Broadway. The American Irish in Classic Hollywood Cinema (Christopher Shannon 2010 & New Irish Storytellers. Narrative Strategies in Film (Díóg O’Connell 2010

Social software: E-learning beyond learning management systems

DEFF Research Database (Denmark)

Dalsgaard, Christian

2006-01-01

The article argues that it is necessary to move e-learning beyond learning management systems and engage students in an active use of the web as a resource for their self-governed, problem-based and collaborative activities. The purpose of the article is to discuss the potential of social software...... to move e-learning beyond learning management systems. An approach to use of social software in support of a social constructivist approach to e-learning is presented, and it is argued that learning management systems do not support a social constructivist approach which emphasizes self-governed learning...... activities of students. The article suggests a limitation of the use of learning management systems to cover only administrative issues. Further, it is argued that students' self-governed learning processes are supported by providing students with personal tools and engaging them in different kinds of social...

New designing of E-Learning systems with using network learning

OpenAIRE

Malayeri, Amin Daneshmand; Abdollahi, Jalal

2010-01-01

One of the most applied learning in virtual spaces is using E-Learning systems. Some E-Learning methodologies has been introduced, but the main subject is the most positive feedback from E-Learning systems. In this paper, we introduce a new methodology of E-Learning systems entitle "Network Learning" with review of another aspects of E-Learning systems. Also, we present benefits and advantages of using these systems in educating and fast learning programs. Network Learning can be programmable...

Christophe Couderc, dir., Le théâtre Espagnol du Siècle d'Or en France. De la traduction au transfert culturel

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Christian Andrès

2012-12-01

Full Text Available Review of Christophe Couderc, Le théâtre Espagnol du Siècle d'Or en France. De la traduction au transfert culturel, Presses Universitaires de Paris Ouest, París, 2012, 299 pp. ISBN: 978-2-84016-102-8.

Supervised Learning for Dynamical System Learning.

Science.gov (United States)

Hefny, Ahmed; Downey, Carlton; Gordon, Geoffrey J

2015-01-01

Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computational and statistical efficiency. Unfortunately, they can be difficult to use and extend in practice: e.g., they can make it difficult to incorporate prior information such as sparsity or structure. To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L 1 regularization. Many existing spectral methods are special cases of this new framework, using linear regression as the supervised learner. We demonstrate the effectiveness of our framework by showing examples where nonlinear regression or lasso let us learn better state representations than plain linear regression does; the correctness of these instances follows directly from our general analysis.

Learning Content Management Systems

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Tache JURUBESCU

2008-01-01

Full Text Available The paper explains the evolution of e-Learning and related concepts and tools and its connection with other concepts such as Knowledge Management, Human Resources Management, Enterprise Resource Planning, and Information Technology. The paper also distinguished Learning Content Management Systems from Learning Management Systems and Content Management Systems used for general web-based content. The newest Learning Content Management System, very expensive and yet very little implemented is one of the best tools that helps us to cope with the realities of the 21st Century in what learning concerns. The debates over how beneficial one or another system is for an organization, can be driven by costs involved, efficiency envisaged, and availability of the product on the market.

The conquest of paradise or Christopher Columbus’s utopia

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Vladimir Karanović

2014-12-01

Full Text Available The paper analyses the relationship between film and history based on the film 1492: Conquest of Paradise by Ridley Scott. It questions the importance of the context in which the movie with a historical theme is created and in that light its significance is interpreted. Based on the structural theory of myth, the article examines the elements of the mythic structure of Christopher Columbus’s voyage, relating this concept to Utopia. Special emphasis is placed on the importance of the first meeting or the clash between two cultures, which determines their future relations. According to the established theoretical and critical framework, the notions of paradise as well as the figure of the foreigner are questioned. The intention of this paper is to demonstrate that in Ridley Scott’s film history is much more complex and cannot be enclosed in platitudes and common places. Although it was not Scott’s intention to offer a counterfactual view of recorded history, and he does not question what might have happened in other circumstances, by introducing certain apocryphal elements and foretelling later historical events, we show that he is able to start a discussion on views on the process of discovery and conquest of America and especially about their meaning throughout history and their relationship with the present.

Christoph Clavius' "Ordo Servandus in Addiscendis Disciplinis Mathematicis" and the Teaching of Mathematics in Jesuit Colleges at the Beginning of the Modern Era

Science.gov (United States)

Gatto, Romano

2006-01-01

The "Ordo servundum in addiscendis disciplinis mathematicis" is a milestone in the history of the teaching of mathematics. Conceived by Christoph Clavius for the Jesuit Colleges, it was not only a syllabus for mathematical studies for the students at Jesuit colleges but also an instrument for training mathematics teachers. Its coherence and its…

Toward A Dual-Learning Systems Model of Speech Category Learning

Directory of Open Access Journals (Sweden)

Bharath eChandrasekaran

2014-07-01

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

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

Science.gov (United States)

Kim, Dong Won; Yao, Jingtao

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

Christoph Hein's Horns Ende. Historical Revisionism: A Process of Renewal

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Heinz Bulmahn

1991-06-01

Full Text Available In light of recent developments, the historical record of the German Democratic Republic will be closely reexamined as the two Germanies merge into one country. Christoph Hein's novel Horns Ende undoubtedly will play a role in the debate about the GDR past, because it is a clear repudiation of official historical mythmaking. The novel examines in detail the political and social fiber of a small town in the GDR during the fifties. Horn returns to the town some thirty years after his death, and entices the townspeople to recount their lives during the early years of the socialist republic. These recollections initiate a dialogue between author, reader and the townspeople. The outcome of these exchanges is a skillful dissection of the effects of Stalinism on ordinary citizens, and it revises perceptions of a period in GDR history that officially had been touted as politically and socially harmonious. Hein challenges the reader to reconstruct a historical record that more closely reflects the experiences of ordinary people, and in doing so he exposes past official historical mythmaking. He is convinced that a society's survival is dependent upon the accuracy of its history; historical revision therefore must not be left to those in power.

Intelligent Web-Based Learning System with Personalized Learning Path Guidance

Science.gov (United States)

Chen, C. M.

2008-01-01

Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist on-line web-based learning and adaptively provide learning paths…

Machine learning systems

Energy Technology Data Exchange (ETDEWEB)

Forsyth, R

1984-05-01

With the dramatic rise of expert systems has come a renewed interest in the fuel that drives them-knowledge. For it is specialist knowledge which gives expert systems their power. But extracting knowledge from human experts in symbolic form has proved arduous and labour-intensive. So the idea of machine learning is enjoying a renaissance. Machine learning is any automatic improvement in the performance of a computer system over time, as a result of experience. Thus a learning algorithm seeks to do one or more of the following: cover a wider range of problems, deliver more accurate solutions, obtain answers more cheaply, and simplify codified knowledge. 6 references.

Recommender Systems for Learning

CERN Document Server

Manouselis, Nikos; Verbert, Katrien; Duval, Erik

2013-01-01

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

From Information to Experience: Christoph Schlingensief's Quiz 3000

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Tara Forrest

2014-03-01

Full Text Available When German artist Christoph Schlingensief died in 2010 he had amassed an impressive body of work spanning a diverse range of fields, including film, television, theatre, art, radio, activism, and opera. Although he gained a certain notoriety for his early film and performance work, it was through his politically engaged re-enactment of a series of reality television programs that his public profile in Germany was cemented. This article focuses on the pilot episode of Quiz 3000 that was staged at the Volksbühne in 2002 and that was modelled closely on the popular reality format Who Wants to be a Millionaire? As Schlingensief has made clear in an interview with Alexander Kluge, his interest in re-enactment as a critical strategy is not driven by a desire for total verisimilitude, but by the inconsistencies that are generated in the re-enactment process that serve as catalysts for reflection and debate. In Quiz 3000 it is the nature of the questions posed to the contestants (such as: 'The rape of members of which minority group is, according to the German criminal code, less heavily penalized?' and 'How many conscientious objectors from Kurdistan have, since 2001, been tortured to death in Turkey after being deported by Germany?' that generates the inconsistency in question. Drawing on Walter Benjamin and Theodor Adorno's writings on information and experience, I argue that Quiz 3000 transforms the information-driven focus of television quiz shows into a source of experience for viewers and contestants alike by encouraging them to reflect on political issues and debates in an autonomous, affective, and meaningful way.

Universal LD50 predictions using deep learning

Science.gov (United States)

NICEATM Predictive Models for Acute Oral Systemic Toxicity LD50 entry Risa R. Sayre (sayre.risa@epa.gov) & Christopher M. Grulke Our approach uses an ensemble of multilayer perceptron regressions to predict rat acute oral LD50 values from chemical features. Features were genera...

Modeling learning technology systems as business systems

NARCIS (Netherlands)

Avgeriou, Paris; Retalis, Symeon; Papaspyrou, Nikolaos

2003-01-01

The design of Learning Technology Systems, and the Software Systems that support them, is largely conducted on an intuitive, ad hoc basis, thus resulting in inefficient systems that defectively support the learning process. There is now justifiable, increasing effort in formalizing the engineering

Personalised Learning Object System Based on Self-Regulated Learning Theories

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Ali Alharbi

2014-06-01

Full Text Available Self-regulated learning has become an important construct in education research in the last few years. Selfregulated learning in its simple form is the learner’s ability to monitor and control the learning process. There is increasing research in the literature on how to support students become more self-regulated learners. However, the advancement in the information technology has led to paradigm changes in the design and development of educational content. The concept of learning object instructional technology has emerged as a result of this shift in educational technology paradigms. This paper presents the results of a study that investigated the potential educational effectiveness of a pedagogical framework based on the self-regulated learning theories to support the design of learning object systems to help computer science students. A prototype learning object system was developed based on the contemporary research on self-regulated learning. The system was educationally evaluated in a quasi-experimental study over two semesters in a core programming languages concepts course. The evaluation revealed that a learning object system that takes into consideration contemporary research on self-regulated learning can be an effective learning environment to support computer science education.

What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

Science.gov (United States)

Kumaran, Dharshan; Hassabis, Demis; McClelland, James L

2016-07-01

We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

Critical Points in Distance Learning System

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Airina Savickaitė

2013-08-01

Full Text Available Purpose – This article presents the results of distance learning system analysis, i.e. the critical elements of the distance learning system. The critical points of distance learning are a part of distance education online environment interactivity/community process model. The most important is the fact that the critical point is associated with distance learning participants. Design/methodology/approach – Comparative review of articles and analysis of distance learning module. Findings – A modern man is a lifelong learner and distance learning is a way to be a modern person. The focus on a learner and feedback is the most important thing of learning distance system. Also, attention should be paid to the lecture-appropriate knowledge and ability to convey information. Distance system adaptation is the way to improve the learner’s learning outcomes. Research limitations/implications – Different learning disciplines and learning methods may have different critical points. Practical implications – The information of analysis could be important for both lecturers and students, who studies distance education systems. There are familiar critical points which may deteriorate the quality of learning. Originality/value – The study sought to develop remote systems for applications in order to improve the quality of knowledge. Keywords: distance learning, process model, critical points. Research type: review of literature and general overview.

Christopher Hawkes and the International Summer Courses of Ampurias

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Margarita Díaz-Andreu

2007-05-01

Full Text Available This article aims to provide an initial analysis of the early connections between Christopher Hawkes and Spanish archaeology in the context of his participation in two of the international summer courses in Ampurias in 1947 and 1950. The documentation used for this article comes mainly from the Pericot Archive in the Library of Catalonia, in which there are 43 letters from Hawkes to Pericot between 1940 and 1975. In addition, other correspondence in the British Museum and in the Ministry of Foreign Affairs will be mentioned. This study forms part of a larger project of recovering the memory of twentieth-century British-Spanish relations, of which a first phase has centred on the assessment of Gordon Childe’s contacts with Spain (Díaz-Andreu 1998; forthcoming–a; forthcoming–b. As in Gordon Childe’s case, all memory of Hawkes’ visits, and indeed of his relationships with Spanish archaeologists, has since been lost. Unfortunately, this situation is not exceptional: most of the links between Spanish archaeologists and British and American archaeologists in the twenty years around the Spanish Civil War have dropped out of archaeological memory. To the names mentioned in a recent seminar (Gordon Childe, Edward Thurlow Leeds, Eoin MacWhite, Hubert Savory (Armada Pita 2006, many others could be added. As this article will show, however, there were many contacts and these help to explain some developments in the archaeological thinking and practice of the participants involved in these exchanges, as well as some events in the international organisation of archaeology.

NASA Langley/CNU Distance Learning Programs

Science.gov (United States)

Caton, Randall; Pinelli, Thomas E.

2002-01-01

NASA Langley Research Center and Christopher Newport University (CNU) provide, free to the public, distance learning programs that focus on math, science, and/or technology over a spectrum of education levels from K-adult. The effort started in 1997, and we currently have a suite of five distance-learning programs. We have around 450,000 registered educators and 12.5 million registered students in 60 countries. Partners and affiliates include the American Institute of Aeronautics and Astronautics (AIAA), the Aerospace Education Coordinating Committee (AECC), the Alliance for Community Media, the National Educational Telecommunications Association, Public Broadcasting System (PBS) affiliates, the NASA Learning Technologies Channel, the National Council of Teachers of Mathematics (NCTM), the Council of the Great City Schools, Hampton City Public Schools, Sea World Adventure Parks, Busch Gardens, ePALS.com, and Riverdeep. Our mission is based on the "Horizon of Learning," a vision for inspiring learning across a continuum of educational experiences. The programs form a continuum of educational experiences for elementary youth through adult learners. The strategic plan for the programs will evolve to reflect evolving national educational needs, changes within NASA, and emerging system initiatives. Plans for each program component include goals, objectives, learning outcomes, and rely on sound business models. It is well documented that if technology is used properly it can be a powerful partner in education. Our programs employ both advances in information technology and in effective pedagogy to produce a broad range of materials to complement and enhance other educational efforts. Collectively, the goals of the five programs are to increase educational excellence; enhance and enrich the teaching of mathematics, science, and technology; increase scientific and technological literacy; and communicate the results of NASA discovery, exploration, innovation and research

Historical-Geographical Location of Lands Exploited by the Family of Christopher Columbus in the Port of San Juan (Huelva, Spain

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David González Cruz

2017-11-01

Full Text Available This research presents as novelty the geographical location of certain places that were part of the process of gestation of the discovery of America In addition, it also confirms the linking of the portuguese Briolanja Muñiz —sister in law of Christopher Columbus— with the port of San Juan (Huelva, Spain, and at the same time, offers unpublished data on the boundaries of the estate where the family of the famous discoverer was seated while he managed and organized his first overseas trip.

Web-Based Learning Support System

Science.gov (United States)

Fan, Lisa

Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student's needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.

Christopher Nolan’ın ‘Batman Üçlemesi’ Üzerine İdeolojik Bir İnceleme

OpenAIRE

BÖLÜKBAŞI, Mustafa

2013-01-01

Bu makalede bir süperkahraman anlatısı olarak Batman’in nasıl bir ideolojik anlamı olduğu sorgulanmaktadır. Bu amaçlaChristopher Nolan’ın çekmiş olduğu Batman Başlıyor (2005), Kara Şövalye (2008) ve Kara Şövalye Yükseliyor (2012) filmleri,altında yatan ideolojiyi ortaya serecek bir içerik analizine tabi tutulmaktadır. Bu incelemede, “kötülük” ile mücadeleetmek için neden bir Batman yaratıldığı, bunun nasıl bir amacının olabileceği, Batman’e kimin ihtiyaç duyduğu, kısacasıNolan’ın Batman üçlem...

Recommendation System for Adaptive Learning.

Science.gov (United States)

Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

2018-01-01

An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

ENGINEERING OF UNIVERSITY INTELLIGENT LEARNING SYSTEMS

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Vasiliy M. Trembach

2016-01-01

Full Text Available In the article issues of engineering intelligent tutoring systems of University with adaptation are considered. The article also dwells on some modern approaches to engineering of information systems. It shows the role of engineering e-learning devices (systems in system engineering. The article describes the basic principles of system engineering and these principles are expanded regarding to intelligent information systems. The structure of intelligent learning systems with adaptation of the individual learning environments based on services is represented in the article.

Establishment of a Learning Management System

International Nuclear Information System (INIS)

Han, K. W.; Kim, Y. T.; Lee, E. J.; Min, B. J.

2006-01-01

A web-based learning management system (LMS) has been established to address the need of customized education and training of Nuclear Training Center (NTC) of KAERI. The LMS is designed to deal with various learning types (e.g. on-line, off-line and blended) and a practically comprehensive learning activity cycle (e.g. course preparation, registration, learning, and postlearning) as well as to be user-friendly. A test with an example course scenario on the established system has shown its satisfactory performance. This paper discusses details of the established webbased learning management system in terms of development approach and functions of the LMS

Transformative Learning: Patterns of Psychophysiologic Response and Technology-Enabled Learning and Intervention Systems

Science.gov (United States)

2008-09-01

Psychophysiologic Response and Technology -Enabled Learning and Intervention Systems PRINCIPAL INVESTIGATOR: Leigh W. Jerome, Ph.D...NUMBER Transformative Learning : Patterns of Psychophysiologic Response and Technology - Enabled Learning and Intervention Systems 5b. GRANT NUMBER...project entitled “Transformative Learning : Patterns of Psychophysiologic Response in Technology Enabled Learning and Intervention Systems.” The

Authoring Systems Delivering Reusable Learning Objects

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George Nicola Sammour

2009-10-01

Full Text Available A three layer e-learning course development model has been defined based on a conceptual model of learning content object. It starts by decomposing the learning content into small chunks which are initially placed in a hierarchic structure of units and blocks. The raw content components, being the atomic learning objects (ALO, were linked to the blocks and are structured in the database. We set forward a dynamic generation of LO's using re-usable e-learning raw materials or ALO’s In that view we need a LO authoring/ assembling system fitting the requirements of interoperability and reusability and starting from selecting the raw learning content from the learning materials content database. In practice authoring systems are used to develop e-learning courses. The company EDUWEST has developed an authoring system that is database based and will be SCORM compliant in the near future.

CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS

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Yu. B. Popova

2016-01-01

Full Text Available Using of information technologies and, in particular, learning management systems, increases opportunities of teachers and students in reaching their goals in education. Such systems provide learning content, help organize and monitor training, collect progress statistics and take into account the individual characteristics of each user. Currently, there is a huge inventory of both paid and free systems are physically located both on college servers and in the cloud, offering different features sets of different licensing scheme and the cost. This creates the problem of choosing the best system. This problem is partly due to the lack of comprehensive classification of such systems. Analysis of more than 30 of the most common now automated learning management systems has shown that a classification of such systems should be carried out according to certain criteria, under which the same type of system can be considered. As classification features offered by the author are: cost, functionality, modularity, keeping the customer’s requirements, the integration of content, the physical location of a system, adaptability training. Considering the learning management system within these classifications and taking into account the current trends of their development, it is possible to identify the main requirements to them: functionality, reliability, ease of use, low cost, support for SCORM standard or Tin Can API, modularity and adaptability. According to the requirements at the Software Department of FITR BNTU under the guidance of the author since 2009 take place the development, the use and continuous improvement of their own learning management system.

Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

Science.gov (United States)

Mihai, Gabroveanu

2015-09-01

Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

Writing as a Magician's Game:The Strange Early World of Christoph Meckel

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Heidi M. Rockwood

1984-01-01

Full Text Available The contemporary German author Christoph Meckel often introduces into his early short stories the metaphor of "playing a game" for creating a literary work. The paper investigates how Meckel uses this metaphor, what types of games he plays with the reader, and what kind of a world he creates through those games. On the basis of four short stories it suggests the conclusion that Meckel often introduces dangerous overtones and consequences, even though he likes to present himself as a happy and harmless storyteller, and that his stories share many characteristics with dreams and nightmares. Nevertheless, such game-playing is an important and positive activity, for it fulfills a definite social purpose. In the longer story "In the Land of the Umbramauts" Meckel describes a society in which the ability to play creatively has been lost. While the Umbramauts are not totally to blame for this situation, theirs is described as a society without hope. Despite the possible dangers inherent in play, Meckel seems to warn us: it is far more dangerous not to play, since it may lead to the loss of our basic humanity. It is a warning that he himself has heeded: his works continue to confront the reader with the elements of play and surprise.

Student Modelling in Adaptive E-Learning Systems

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Clemens Bechter

2011-09-01

Full Text Available Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation, based on each student's profile and behavior. In an e-Learning system, one size does not fit all. Therefore, it is a challenge to make e-Learning systems that are suitably “adaptive”. The aim of adaptive e-Learning is to provide the students the appropriate content at the right time, means that the system is able to determine the knowledge level, keep track of usage, and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities, the system can track information of the student until he/she takes a test. The student’s knowledge level, based on the test scores, is updated into the system for use in the adaptation process, which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study, the proposed adaptive e-Learning system is implemented on an “Introduction to Java Programming Language” course, using LearnSquare software. After the system was tested, the results showed positive feedback towards the proposed system, especially in its adaptive capability.

Micro Learning: A Modernized Education System

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Omer Jomah

2016-03-01

Full Text Available Learning is an understanding of how the human brain is wired to learning rather than to an approach or a system. It is one of the best and most frequent approaches for the 21st century learners. Micro learning is more interesting due to its way of teaching and learning the content in a small, very specific burst. Here the learners decide what and when to learn. Content, time, curriculum, form, process, mediality, and learning type are the dimensions of micro learning. Our paper will discuss about micro learning and about the micro-content management system. The study will reflect the views of different users, and will analyze the collected data. Finally, it will be concluded with its pros and cons. 

Learning Management Systems and Comparison of Open Source Learning Management Systems and Proprietary Learning Management Systems

Directory of Open Access Journals (Sweden)

Yücel Yılmaz

2016-04-01

Full Text Available The concept of learning has been increasingly gaining importance for individuals, businesses and communities in the age of information. On the other hand, developments in information and communication technologies take effect in the field of learning activities. With these technologies, barriers of time and space against the learning activities largely disappear and these technologies make it easier to carry out these activities more effectively. There remain a lot of questions regarding selection of learning management system (LMS to be used for the management of e-learning processes by all organizations conducing educational practices including universities, companies, non-profit organizations, etc. The main questions are as follows: Shall we choose open source LMS or commercial LMS? Can the selected LMS meet existing needs and future potential needs for the organization? What are the possibilities of technical support in the management of LMS? What kind of problems may be experienced in the use of LMS and how can these problems be solved? How much effective can officials in the organization be in the management of LMS? In this study, primarily e-learning and the concept of LMS will be discussed, and in the next section, as for answers to these questions, open source LMSs and centrally developed LMSs will be examined and their advantages and disadvantages relative to each other will be discussed.

Resolving the Problem of Intelligent Learning Content in Learning Management Systems

Science.gov (United States)

Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen

2008-01-01

Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…

Evaluating Usability of E-Learning Systems in Universities

OpenAIRE

Nicholas Kipkurui Kiget; Professor G. Wanyembi; Anselemo Ikoha Peters

2014-01-01

The use of e-learning systems has increased significantly in the recent times. E-learning systems are supplementing teaching and learning in universities globally. Kenyan universities have adopted e-learning technologies as means for delivering course content. However despite adoption of these systems, there are considerable challenges facing the usability of the systems. Lecturers and students have different perceptions in regard to the usability of e-learning systems. The aim of this study ...

Feedback Design Patterns for Math Online Learning Systems

Science.gov (United States)

Inventado, Paul Salvador; Scupelli, Peter; Heffernan, Cristina; Heffernan, Neil

2017-01-01

Increasingly, computer-based learning systems are used by educators to facilitate learning. Evaluations of several math learning systems show that they result in significant student learning improvements. Feedback provision is one of the key features in math learning systems that contribute to its success. We have recently been uncovering feedback…

Indirect learning control for nonlinear dynamical systems

Science.gov (United States)

Ryu, Yeong Soon; Longman, Richard W.

1993-01-01

In a previous paper, learning control algorithms were developed based on adaptive control ideas for linear time variant systems. The learning control methods were shown to have certain advantages over their adaptive control counterparts, such as the ability to produce zero tracking error in time varying systems, and the ability to eliminate repetitive disturbances. In recent years, certain adaptive control algorithms have been developed for multi-body dynamic systems such as robots, with global guaranteed convergence to zero tracking error for the nonlinear system euations. In this paper we study the relationship between such adaptive control methods designed for this specific class of nonlinear systems, and the learning control problem for such systems, seeking to converge to zero tracking error in following a specific command repeatedly, starting from the same initial conditions each time. The extension of these methods from the adaptive control problem to the learning control problem is seen to be trivial. The advantages and disadvantages of using learning control based on such adaptive control concepts for nonlinear systems, and the use of other currently available learning control algorithms are discussed.

An Intelligent System for Determining Learning Style

Science.gov (United States)

Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed

2018-01-01

In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…

Learning Markov models for stationary system behaviors

DEFF Research Database (Denmark)

Chen, Yingke; Mao, Hua; Jaeger, Manfred

2012-01-01

to a single long observation sequence, and in these situations existing automatic learning methods cannot be applied. In this paper, we adapt algorithms for learning variable order Markov chains from a single observation sequence of a target system, so that stationary system properties can be verified using......Establishing an accurate model for formal verification of an existing hardware or software system is often a manual process that is both time consuming and resource demanding. In order to ease the model construction phase, methods have recently been proposed for automatically learning accurate...... the learned model. Experiments demonstrate that system properties (formulated as stationary probabilities of LTL formulas) can be reliably identified using the learned model....

Situation Reports--Afghanistan, Bahrein, Brazil, Ecuador, Indonesia, Iraq, Morocco, Paraguay, People's Democratic Republic of Yemen, Peru, Qatar, Saudi Arabia, Sri Lanka, St. Christopher/Nevis, Sudan, United Arab Emirates, Yemen Arab Republic.

Science.gov (United States)

International Planned Parenthood Federation, London (England).

Data relating to population and family planning in 17 foreign countries are presented in these situation reports. Countries included are Afghanistan, Bahrein, Brazil, Ecuador, Indonesia, Iraq, Morocco, Paraguay, People's Democratic Republic of Yemen, Peru, Qatar, Saudi Arabia, Sri Lanka, St. Christopher/Nevis, Sudan, United Arab Emirates, and…

VIRTUAL LABORATORY IN DISTANCE LEARNING SYSTEM

Directory of Open Access Journals (Sweden)

Е. Kozlovsky

2011-11-01

Full Text Available Questions of designing and a choice of technologies of creation of virtual laboratory for the distance learning system are considered. Distance learning system «Kherson Virtual University» is used as illustration.

Teach Them How They Learn: Learning Styles and Information Systems Education

Science.gov (United States)

Cegielski, Casey G.; Hazen, Benjamin T.; Rainer, R. Kelly

2011-01-01

The rich, interdisciplinary tradition of learning styles is markedly absent in information systems-related research. The current study applies the framework of learning styles to a common educational component of many of today's information systems curricula--object-oriented systems development--in an effort to answer the question as to whether…

Intelligent data analysis for e-learning enhancing security and trustworthiness in online learning systems

CERN Document Server

Miguel, Jorge; Xhafa, Fatos

2016-01-01

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as proc...

A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

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Su, C-H.; Cheng, C-H.

2015-01-01

This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…

E-learning systems intelligent techniques for personalization

CERN Document Server

Klašnja-Milićević, Aleksandra; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C

2017-01-01

This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. .

Assisted Learning Systems in e-Education

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Gabriel ZAMFIR

2014-01-01

Full Text Available Human society, analyzed as a learning environment, presumes different languages in order to know, to understand or to develop it. This statement results as a default application of the cog-nitive domain in the educational scientific research, and it highlights a key feature: each essen-tial discovery was available for the entire language compatible society. E-Society is constructed as an application of E-Science in social services, and it is going to reveal a learning system for each application of the information technology developed for a compatible society. This article is proposed as a conceptual one focused on scientific research and the interrelationship be-tween the building blocks of research, defined as an engine for any designed learning system applied in the cognitive domain. In this approach, educational research become a learning sys-tem in e-Education. The purpose of this analysis is to configure the teacher assisted learning system and to expose its main principles which could be integrated in standard assisted instruc-tion applications, available in e-Classroom, supporting the design of specific didactic activities.

Personalized E- learning System Based on Intelligent Agent

Science.gov (United States)

Duo, Sun; Ying, Zhou Cai

Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

A Simple and Effective Remedial Learning System with a Fuzzy Expert System

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Lin, C.-C.; Guo, K.-H.; Lin, Y.-C.

2016-01-01

This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…

Exploring nursing e-learning systems success based on information system success model.

Science.gov (United States)

Chang, Hui-Chuan; Liu, Chung-Feng; Hwang, Hsin-Ginn

2011-12-01

E-learning is thought of as an innovative approach to enhance nurses' care service knowledge. Extensive research has provided rich information toward system development, courses design, and nurses' satisfaction with an e-learning system. However, a comprehensive view in understanding nursing e-learning system success is an important but less focused-on topic. The purpose of this research was to explore net benefits of nursing e-learning systems based on the updated DeLone and McLean's Information System Success Model. The study used a self-administered questionnaire to collected 208 valid nurses' responses from 21 of Taiwan's medium- and large-scale hospitals that have implemented nursing e-learning systems. The result confirms that the model is sufficient to explore the nurses' use of e-learning systems in terms of intention to use, user satisfaction, and net benefits. However, while the three exogenous quality factors (system quality, information quality, and service quality) were all found to be critical factors affecting user satisfaction, only information quality showed a direct effect on the intention to use. This study provides useful insights for evaluating nursing e-learning system qualities as well as an understanding of nurses' intentions and satisfaction related to performance benefits.

Recommender Systems in Technology Enhanced Learning

NARCIS (Netherlands)

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

2010-01-01

Manouselis, N., Drachsler, H., Verbert, K., & Santos, C. S. (Eds.) (2010). Recommender System in Technology Enhanced Learning. Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL). September, 29-30,

Reconceptualizing Learning as a Dynamical System.

Science.gov (United States)

Ennis, Catherine D.

1992-01-01

Dynamical systems theory can increase our understanding of the constantly evolving learning process. Current research using experimental and interpretive paradigms focuses on describing the attractors and constraints stabilizing the educational process. Dynamical systems theory focuses attention on critical junctures in the learning process as…

Framework for Designing Context-Aware Learning Systems

Science.gov (United States)

Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing

2018-01-01

Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…

Estimating Students’ Satisfaction with Web Based Learning System in Blended Learning Environment

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Sanja Bauk

2014-01-01

Full Text Available Blended learning became the most popular educational model that universities apply for teaching and learning. This model combines online and face-to-face learning environments, in order to enhance learning with implementation of new web technologies and tools in learning process. In this paper principles of DeLone and Mclean success model for information system are applied to Kano two-dimensional model, for categorizing quality attributes related to satisfaction of students with web based learning system used in blended learning model. Survey results are obtained among the students at “Mediterranean” University in Montenegro. The (dysfunctional dimensions of Kano model, including Kano basic matrix for assessment of the degree of students’ satisfaction level, have been considered in some more detail through corresponding numerical, graphical, and statistical analysis.

Digital case-based learning system in school.

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Gu, Peipei; Guo, Jiayang

2017-01-01

With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

Digital case-based learning system in school.

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Peipei Gu

Full Text Available With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture.

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Chen, C L Philip; Liu, Zhulin

2018-01-01

Broad Learning System (BLS) that aims to offer an alternative way of learning in deep structure is proposed in this paper. Deep structure and learning suffer from a time-consuming training process because of a large number of connecting parameters in filters and layers. Moreover, it encounters a complete retraining process if the structure is not sufficient to model the system. The BLS is established in the form of a flat network, where the original inputs are transferred and placed as "mapped features" in feature nodes and the structure is expanded in wide sense in the "enhancement nodes." The incremental learning algorithms are developed for fast remodeling in broad expansion without a retraining process if the network deems to be expanded. Two incremental learning algorithms are given for both the increment of the feature nodes (or filters in deep structure) and the increment of the enhancement nodes. The designed model and algorithms are very versatile for selecting a model rapidly. In addition, another incremental learning is developed for a system that has been modeled encounters a new incoming input. Specifically, the system can be remodeled in an incremental way without the entire retraining from the beginning. Satisfactory result for model reduction using singular value decomposition is conducted to simplify the final structure. Compared with existing deep neural networks, experimental results on the Modified National Institute of Standards and Technology database and NYU NORB object recognition dataset benchmark data demonstrate the effectiveness of the proposed BLS.

Adaptive e-learning system using ontology

OpenAIRE

Yarandi, Maryam; Tawil, Abdel-Rahman; Jahankhani, Hossein

2011-01-01

This paper proposes an innovative ontological approach to design a personalised e-learning system which creates a tailored workflow for individual learner. Moreover, the learning content and sequencing logic is separated into content model and pedagogical model to increase the reusability and flexibility of the system.

Component-Based Approach in Learning Management System Development

Science.gov (United States)

Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

2013-01-01

The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…

The Office Software Learning and Examination System Design Based on Fragmented Learning Idea

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Xu Ling

2016-01-01

Full Text Available Fragmented learning is that through the segmentation of learning content or learning time, make learners can use the fragmented time for learning fragmentated content, have the characteristics of time flexibility, learning targeted and high learning efficiency. Based on the fragmented learning ideas, combined with the teaching idea of micro class and interactive teaching, comprehensive utilization of flash animation design software, .NET development platform, VSTO technology, multimedia development technology and so on, design and develop a system integrated with learning, practice and examination of the Office software, which is not only conducive to the effective and personalized learning of students, but also conducive to the understanding the students’ situation of teachers, and liberate teachers from the heavy labor of mechanical, focus on promoting the formation of students’ knowledge system.

E-Learning Systems, Environments and Approaches

OpenAIRE

Isaias, P.; Spector, J.M.; Ifenthaler, D.; Sampson, D.G.

2015-01-01

The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Par...

Intelligent fractions learning system: implementation

CSIR Research Space (South Africa)

Smith, Andrew C

2011-05-01

Full Text Available Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2011 ISBN: 978-1-905824-24-3 An Intelligent Fractions Learning System: Implementation Andrew Cyrus SMITH1, Teemu H. LAINE2 1CSIR... to fractions. Our aim with the current research project is to extend the existing UFractions learning system to incorporate automatic data capturing. ?Intelligent UFractions? allows a teacher to remotely monitor the children?s progress during...

An E-learning System based on Affective Computing

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Duo, Sun; Song, Lu Xue

In recent years, e-learning as a learning system is very popular. But the current e-learning systems cannot instruct students effectively since they do not consider the emotional state in the context of instruction. The emergence of the theory about "Affective computing" can solve this question. It can make the computer's intelligence no longer be a pure cognitive one. In this paper, we construct an emotional intelligent e-learning system based on "Affective computing". A dimensional model is put forward to recognize and analyze the student's emotion state and a virtual teacher's avatar is offered to regulate student's learning psychology with consideration of teaching style based on his personality trait. A "man-to-man" learning environment is built to simulate the traditional classroom's pedagogy in the system.

Moving towards Virtual Learning Clouds from Traditional Learning: Higher Educational Systems in India

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Vasanthi Muniasamy

2014-10-01

Full Text Available E-Learning has become an increasingly popular learning approach in higher Education institutions due to the rapid growth of Communication and Information Technology (CIT. In recent years, it has been integrated in many university programs and it is one of the new learning trends. But in many Indian Universities did not implement this novel technology in their Educational Systems. E-Learning is not intended to replace the traditional classroom setting, but to provide new opportunities and new virtual environment for interaction and communication between the students and teacher. E-Learning through Cloud is now becoming an interesting and very useful revolutionary technology in the field of education. E-Learning system usually requires huge amount of hardware and software resources. Due to the cost, many universities in India do not want to implement the E-Learning technology in their Educational system and they cannot afford such investments. Cloud Virtual Learning is the only solution for this problem. This paper presents the benefits of using cloud technology in E-Learning system, working mode, Services, Models. And also we discuss the cloud computing educational environment and how higher education may take advantage of clouds not only in terms of cost but also in terms of Security, flexibility, portability, efficiency and reliability. And also we present some educational clouds introduced by popular cloud providers.

Linear System Control Using Stochastic Learning Automata

Science.gov (United States)

Ziyad, Nigel; Cox, E. Lucien; Chouikha, Mohamed F.

1998-01-01

This paper explains the use of a Stochastic Learning Automata (SLA) to control switching between three systems to produce the desired output response. The SLA learns the optimal choice of the damping ratio for each system to achieve a desired result. We show that the SLA can learn these states for the control of an unknown system with the proper choice of the error criteria. The results of using a single automaton are compared to using multiple automata.

Modeling student's learning styles in web 2.0 learning systems

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Ramon Cabada Zatarain Cabada, M. L. Barron Estrada, L. Zepeda Sanchez, Guillermo Sandoval, J.M. Osorio Velazquez, J.E. Urias Barrientos

2009-12-01

Full Text Available The identification of the best learning style in an Intelligent Tutoring System must be considered essential as part of thesuccess in the teaching process. In many implementations of automatic classifiers finding the right student learning styler e p r e s e n t s t h e h a r d e s t a s s i g n m e n t . T h e r e a s o n i s t h a t m o s t o f t h e t e c h n i q u e s w o r k u s i n g e x p e r t g r o u p s o r a s e t o fquestionnaires which define how the learning styles are assigned to students. This paper presents a novel approach forautomatic learning styles classification using a Kohonen network. The approach is used by an author tool for buildingIntelligent Tutoring Systems running under a Web 2.0 collaborative learning platform. The tutoring systems together withthe neural network can also be exported to mobile devices. We present different results to the approach working under theauthor tool.

A service based adaptive U-learning system using UX.

Science.gov (United States)

Jeong, Hwa-Young; Yi, Gangman

2014-01-01

In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users' tailored materials according to their learning style. That is, we analyzed the user's data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.

A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System

Science.gov (United States)

Kardan, Ahmad A.; Speily, Omid R. B.; Modaberi, Somayyeh

2011-01-01

The majority of current web-based learning systems are closed learning environments where courses and learning materials are fixed, and the only dynamic aspect is the organization of the material that can be adapted to allow a relatively individualized learning environment. In this paper, we propose an evolving web-based learning system which can…

Learning in tele-autonomous systems using Soar

Science.gov (United States)

Laird, John E.; Yager, Eric S.; Tuck, Christopher M.; Hucka, Michael

1989-01-01

Robo-Soar is a high-level robot arm control system implemented in Soar. Robo-Soar learns to perform simple block manipulation tasks using advice from a human. Following learning, the system is able to perform similar tasks without external guidance. It can also learn to correct its knowledge, using its own problem solving in addition to outside guidance. Robo-Soar corrects its knowledge by accepting advice about relevance of features in its domain, using a unique integration of analytic and empirical learning techniques.

Informed Systems: Enabling Collaborative Evidence Based Organizational Learning

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Mary M. Somerville

2015-12-01

Full Text Available Objective – In response to unrelenting disruptions in academic publishing and higher education ecosystems, the Informed Systems approach supports evidence based professional activities to make decisions and take actions. This conceptual paper presents two core models, Informed Systems Leadership Model and Collaborative Evidence-Based Information Process Model, whereby co-workers learn to make informed decisions by identifying the decisions to be made and the information required for those decisions. This is accomplished through collaborative design and iterative evaluation of workplace systems, relationships, and practices. Over time, increasingly effective and efficient structures and processes for using information to learn further organizational renewal and advance nimble responsiveness amidst dynamically changing circumstances. Methods – The integrated Informed Systems approach to fostering persistent workplace inquiry has its genesis in three theories that together activate and enable robust information usage and organizational learning. The information- and learning-intensive theories of Peter Checkland in England, which advance systems design, stimulate participants’ appreciation during the design process of the potential for using information to learn. Within a co-designed environment, intentional social practices continue workplace learning, described by Christine Bruce in Australia as informed learning enacted through information experiences. In addition, in Japan, Ikujiro Nonaka’s theories foster information exchange processes and knowledge creation activities within and across organizational units. In combination, these theories promote the kind of learning made possible through evolving and transferable capacity to use information to learn through design and usage of collaborative communication systems with associated professional practices. Informed Systems therein draws from three antecedent theories to create an original

A Studi on High Plant Systems Course with Active Learning in Higher Education Through Outdoor Learning to Increase Student Learning Activities

OpenAIRE

Nur Rokhimah Hanik, Anwari Adi Nugroho

2015-01-01

Biology learning especially high plant system courses needs to be applied to active learning centered on the student (Active Learning In Higher Education) to enhance the students' learning activities so that the quality of learning for the better. Outdoor Learning is one of the active learning invites students to learn outside of the classroom by exploring the surrounding environment. This research aims to improve the students' learning activities in the course of high plant systems through t...

A Service Based Adaptive U-Learning System Using UX

Directory of Open Access Journals (Sweden)

Hwa-Young Jeong

2014-01-01

Full Text Available In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users’ tailored materials according to their learning style. That is, we analyzed the user’s data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.

The Design and Analysis of Learning Effects for a Game-based Learning System

OpenAIRE

Wernhuar Tarng; Weichian Tsai

2010-01-01

The major purpose of this study is to use network and multimedia technologies to build a game-based learning system for junior high school students to apply in learning “World Geography" through the “role-playing" game approaches. This study first investigated the motivation and habits of junior high school students to use the Internet and online games, and then designed a game-based learning system according to situated and game-based learning theories. A teaching experiment was conducted to...

Christopher Hasty, Meter as Rhythm [Metro come Ritmo], Oxford University Press, New York & Oxford, 1997.

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Antonio Cascelli

2014-10-01

Full Text Available Quando, nell’undicesimo libro delle Confessioni, S. Agostino si interroga circa la natura del tempo, individua un problema linguistico in senso forte, dove il linguaggio non costituisce una semplice etichetta da attaccare agli eventi ma un modo di entrare in relazione con essi e conoscerli. Quando qualcuno gli domanda cosa sia il tempo, egli non lo sa, cioè non sa come spiegarlo e gli mancano le parole per esprimere qualcosa che, quando nessuno glielo chiede, egli conosce. Come possiamo esprimere il fluire del tempo? Come possiamo dire il tempo e dar voce a una profonda esperienza cognitiva del divenire e della relazione che noi stabiliamo con esso? Queste domande costituiscono le basi del libro di Christopher Hasty. Il suo punto di partenza è la considerazione che, sopprimendo la creatività e la novità dell'effettiva esperienza musicale, l’astrazione dell’analisi tradisce la natura temporale della musica. Al contrario, Hasty vuole prendere in considerazione questa natura temporale e "cercare dei modi di parlare dell’aspetto evanescente della musica, sviluppando concetti che catturino tanto la determinatezza quanto l’indeterminatezza degli eventi al loro passaggio" (p. vii.

Q&A: Space-time visionary

Science.gov (United States)

Thorne, Kip

2014-11-01

Thanks to theoretical physicist Kip Thorne, real science is embedded in Christopher Nolan's film Interstellar, in which explorers seek a new home for humankind. Thorne talks about what he learned from the film's unprecedented visualizations of black holes and wormholes, what it and his accompanying book can teach, and the likelihood of humans escaping the Solar System.

The immune system, adaptation, and machine learning

Science.gov (United States)

Farmer, J. Doyne; Packard, Norman H.; Perelson, Alan S.

1986-10-01

The immune system is capable of learning, memory, and pattern recognition. By employing genetic operators on a time scale fast enough to observe experimentally, the immune system is able to recognize novel shapes without preprogramming. Here we describe a dynamical model for the immune system that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer. This model has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system. We demonstrate that simple versions of the classifier system can be cast as a nonlinear dynamical system, and explore the analogy between the immune and classifier systems in detail. Through this comparison we hope to gain insight into the way they perform specific tasks, and to suggest new approaches that might be of value in learning systems.

Learning to Control Advanced Life Support Systems

Science.gov (United States)

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

Active Learning of Markov Decision Processes for System Verification

DEFF Research Database (Denmark)

Chen, Yingke; Nielsen, Thomas Dyhre

2012-01-01

deterministic Markov decision processes from data by actively guiding the selection of input actions. The algorithm is empirically analyzed by learning system models of slot machines, and it is demonstrated that the proposed active learning procedure can significantly reduce the amount of data required...... demanding process, and this shortcoming has motivated the development of algorithms for automatically learning system models from observed system behaviors. Recently, algorithms have been proposed for learning Markov decision process representations of reactive systems based on alternating sequences...... of input/output observations. While alleviating the problem of manually constructing a system model, the collection/generation of observed system behaviors can also prove demanding. Consequently we seek to minimize the amount of data required. In this paper we propose an algorithm for learning...

Design of an eLearning System for Accreditation of Non-formal Learning

OpenAIRE

Kovatcheva , Eugenia; Nikolov , Roumen

2008-01-01

This paper deals with issues related to the non-formal learning in vocational education, and the role of ICT for providing appropriate accreditation model in such education. The presented conclusions are based on the Leonardo da Vinci project LeoSPAN. The paper emphasises on the development of a model and a prototype of an adaptive eLearning system that ensures the pre-defined learner outcomes. One of the advantages of the eLearning system is the flexibility for people who upgrade and improve...

Learning management system and e-learning tools: an experience of medical students' usage and expectations.

Science.gov (United States)

Back, David A; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P; Sostmann, Kai; Peters, Harm

2016-08-20

To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students.

System Quality Characteristics for Selecting Mobile Learning Applications

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Mohamed SARRAB

2015-10-01

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

Panorama of Recommender Systems to Support Learning

NARCIS (Netherlands)

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

2015-01-01

This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender

USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS

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Uğur Ayvaz

2017-09-01

Full Text Available Since the personal computer usage and internet bandwidth are increasing, e-learning systems are also widely spreading. Although e-learning has some advantages in terms of information accessibility, time and place flexibility compared to the formal learning, it does not provide enough face-to-face interactivity between an educator and learners. In this study, we are proposing a hybrid information system, which is combining computer vision and machine learning technologies for visual and interactive e-learning systems. The proposed information system detects emotional states of the learners and gives feedback to an educator about their instant and weighted emotional states based on facial expressions. In this way, the educator will be aware of the general emotional state of the virtual classroom and the system will create a formal learning-like interactive environment. Herein, several classification algorithms were applied to learn instant emotional state and the best accuracy rates were obtained using kNN and SVM algorithms.

The organization of an autonomous learning system

Science.gov (United States)

Kanerva, Pentti

1988-01-01

The organization of systems that learn from experience is examined, human beings and animals being prime examples of such systems. How is their information processing organized. They build an internal model of the world and base their actions on the model. The model is dynamic and predictive, and it includes the systems' own actions and their effects. In modeling such systems, a large pattern of features represents a moment of the system's experience. Some of the features are provided by the system's senses, some control the system's motors, and the rest have no immediate external significance. A sequence of such patterns then represents the system's experience over time. By storing such sequences appropriately in memory, the system builds a world model based on experience. In addition to the essential function of memory, fundamental roles are played by a sensory system that makes raw information about the world suitable for memory storage and by a motor system that affects the world. The relation of sensory and motor systems to the memory is discussed, together with how favorable actions can be learned and unfavorable actions can be avoided. Results in classical learning theory are explained in terms of the model, more advanced forms of learning are discussed, and the relevance of the model to the frame problem of robotics is examined.

A PEDAGOGICAL CRITICAL REVIEW OF ONLINE LEARNING SYSTEM

Directory of Open Access Journals (Sweden)

Dwi SULISWORO

2016-08-01

Full Text Available E-learning which have various shapes such as blog, classroom learning which is facilitated the World Wide Web; a mix of online instruction and meeting the class known as additional models or hybrid; or the full online experience, where all assessment and instruction is done electronically. Object relationship of learning and constructivist educational philosophy and confirmed that online learning has the orientation which is basically a constructivist ideology, where the combination of some of the knowledge is an inquiry-oriented activities and authentic and also promote the progress of the construction of new knowledge. Description of the online learning system in theory and practice can be illustrated in a few examples that have been found in the research that has been done and found new discoveries obtained in the study, but not everything can be done because of several factors. Please note that the components in the online learning system can serve as a learning system which is very strong influence on learning in the class. The objective of this research is to a pedagogical critical review of online learning system in theory and practice that can be applied by teachers in the teaching process in the classroom. The results obtained in this study were teachers and students need extra effort to make online classes and virtual. Further research is needed on appropriate strategies in order to determine the next result is more useful. There some advices for any studies that discuss online learning system are done in certain areas, namely the use of electricity and other disciplines such as social and humanities.

Online reinforcement learning control for aerospace systems

NARCIS (Netherlands)

Zhou, Y.

2018-01-01

Reinforcement Learning (RL) methods are relatively new in the field of aerospace guidance, navigation, and control. This dissertation aims to exploit RL methods to improve the autonomy and online learning of aerospace systems with respect to the a priori unknown system and environment, dynamical

LBS Mobile Learning System Based on Android Platform

Directory of Open Access Journals (Sweden)

Zhang Ya-Li

2017-01-01

Full Text Available In the era of mobile internet, PC-end internet services can no long satisfy people’s demands, needs for App and services on mobile phones are more urgent than ever. With increasing social competition, the concept of lifelong learning becomes more and more popular and accepted, making full use of spare time to learn at any time and any place meets updating knowledge desires of modern people, Location Based System (LBS mobile learning system based on Android platform was created under such background. In this Paper, characteristics of mobile location technology and intelligent terminal were introduced and analyzed, mobile learning system which will fulfill personalized needs of mobile learners was designed and developed on basis of location information, mobile learning can be greatly promoted and new research ideas can be expanded for mobile learning.

Panorama of recommender systems to support learning

OpenAIRE

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

2015-01-01

This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their c...

Reinforcement and Systemic Machine Learning for Decision Making

CERN Document Server

Kulkarni, Parag

2012-01-01

Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available-or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm-creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new an

Cultural impacts on e-learning systems' success

OpenAIRE

Aparicio, M.; Bação, F.; Oliveira, T.

2016-01-01

WOS:000383295100007 (Nº de Acesso Web of Science) E-learning systems are enablers in the learning process, strengthening their importance as part of the educational strategy. Understanding the determinants of e-learning success is crucial for defining instructional strategies. Several authors have studied e-learning implementation and adoption, and various studies have addressed e-learning success from different perspectives. However, none of these studies have verified whether students' c...

Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

Science.gov (United States)

White, Meagan; Shellenbarger, Teresa

E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.

Learning in Artificial Neural Systems

Science.gov (United States)

Matheus, Christopher J.; Hohensee, William E.

1987-01-01

This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

Promoting system-level learning from project-level lessons

Energy Technology Data Exchange (ETDEWEB)

Jong, Amos A. de, E-mail: amosdejong@gmail.com [Innovation Management, Utrecht (Netherlands); Runhaar, Hens A.C., E-mail: h.a.c.runhaar@uu.nl [Section of Environmental Governance, Utrecht University, Utrecht (Netherlands); Runhaar, Piety R., E-mail: piety.runhaar@wur.nl [Organisational Psychology and Human Resource Development, University of Twente, Enschede (Netherlands); Kolhoff, Arend J., E-mail: Akolhoff@eia.nl [The Netherlands Commission for Environmental Assessment, Utrecht (Netherlands); Driessen, Peter P.J., E-mail: p.driessen@geo.uu.nl [Department of Innovation and Environment Sciences, Utrecht University, Utrecht (Netherlands)

2012-02-15

A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This 'indirect' learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, 'indirect' learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, 'indirect' learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better

Promoting system-level learning from project-level lessons

International Nuclear Information System (INIS)

Jong, Amos A. de; Runhaar, Hens A.C.; Runhaar, Piety R.; Kolhoff, Arend J.; Driessen, Peter P.J.

2012-01-01

A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This ‘indirect’ learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, ‘indirect’ learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, ‘indirect’ learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better information

Computer-aided auscultation learning system for nursing technique instruction.

Science.gov (United States)

Hou, Chun-Ju; Chen, Yen-Ting; Hu, Ling-Chen; Chuang, Chih-Chieh; Chiu, Yu-Hsien; Tsai, Ming-Shih

2008-01-01

Pulmonary auscultation is a physical assessment skill learned by nursing students for examining the respiratory system. Generally, a sound simulator equipped mannequin is used to group teach auscultation techniques via classroom demonstration. However, nursing students cannot readily duplicate this learning environment for self-study. The advancement of electronic and digital signal processing technologies facilitates simulating this learning environment. This study aims to develop a computer-aided auscultation learning system for assisting teachers and nursing students in auscultation teaching and learning. This system provides teachers with signal recording and processing of lung sounds and immediate playback of lung sounds for students. A graphical user interface allows teachers to control the measuring device, draw lung sound waveforms, highlight lung sound segments of interest, and include descriptive text. Effects on learning lung sound auscultation were evaluated for verifying the feasibility of the system. Fifteen nursing students voluntarily participated in the repeated experiment. The results of a paired t test showed that auscultative abilities of the students were significantly improved by using the computer-aided auscultation learning system.

Towards a lessons learned system for critical software

International Nuclear Information System (INIS)

Andrade, J.; Ares, J.; Garcia, R.; Pazos, J.; Rodriguez, S.; Rodriguez-Paton, A.; Silva, A.

2007-01-01

Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists

Towards a lessons learned system for critical software

Energy Technology Data Exchange (ETDEWEB)

Andrade, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: jag@udc.es; Ares, J. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: juanar@udc.es; Garcia, R. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: rafael@udc.es; Pazos, J. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: jpazos@fi.upm.es; Rodriguez, S. [University of A Coruna. Campus de Elvina, s/n. 15071, A Coruna (Spain)]. E-mail: santi@udc.es; Rodriguez-Paton, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: arpaton@fi.upm.es; Silva, A. [Technical University of Madrid. Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Madrid (Spain)]. E-mail: asilva@fi.upm.es

2007-07-15

Failure can be a major driver for the advance of any engineering discipline and Software Engineering is no exception. But failures are useful only if lessons are learned from them. In this article we aim to make a strong defence of, and set the requirements for, lessons learned systems for safety-critical software. We also present a prototype lessons learned system that includes many of the features discussed here. We emphasize that, apart from individual organizations, lessons learned systems should target industrial sectors and even the Software Engineering community. We would like to encourage the Software Engineering community to use this kind of systems as another tool in the toolbox, which complements or enhances other approaches like, for example, standards and checklists.

3D Game-Based Learning System for Improving Learning Achievement in Software Engineering Curriculum

Science.gov (United States)

Su,Chung-Ho; Cheng, Ching-Hsue

2013-01-01

The advancement of game-based learning has encouraged many related studies, such that students could better learn curriculum by 3-dimension virtual reality. To enhance software engineering learning, this paper develops a 3D game-based learning system to assist teaching and assess the students' motivation, satisfaction and learning achievement. A…

Learning to Support Learning Together: An Experience with the Soft Systems Methodology

Science.gov (United States)

Sanchez, Adolfo; Mejia, Andres

2008-01-01

An action research approach called soft systems methodology (SSM) was used to foster organisational learning in a school regarding the role of the learning support department within the school and its relation with the normal teaching-learning activities. From an initial situation of lack of coordination as well as mutual misunderstanding and…

Leadership Perspectives on Operationalizing the Learning Health Care System in an Integrated Delivery System.

Science.gov (United States)

Psek, Wayne; Davis, F Daniel; Gerrity, Gloria; Stametz, Rebecca; Bailey-Davis, Lisa; Henninger, Debra; Sellers, Dorothy; Darer, Jonathan

2016-01-01

Healthcare leaders need operational strategies that support organizational learning for continued improvement and value generation. The learning health system (LHS) model may provide leaders with such strategies; however, little is known about leaders' perspectives on the value and application of system-wide operationalization of the LHS model. The objective of this project was to solicit and analyze senior health system leaders' perspectives on the LHS and learning activities in an integrated delivery system. A series of interviews were conducted with 41 system leaders from a broad range of clinical and administrative areas across an integrated delivery system. Leaders' responses were categorized into themes. Ten major themes emerged from our conversations with leaders. While leaders generally expressed support for the concept of the LHS and enhanced system-wide learning, their concerns and suggestions for operationalization where strongly aligned with their functional area and strategic goals. Our findings suggests that leaders tend to adopt a very pragmatic approach to learning. Leaders expressed a dichotomy between the operational imperative to execute operational objectives efficiently and the need for rigorous evaluation. Alignment of learning activities with system-wide strategic and operational priorities is important to gain leadership support and resources. Practical approaches to addressing opportunities and challenges identified in the themes are discussed. Continuous learning is an ongoing, multi-disciplinary function of a health care delivery system. Findings from this and other research may be used to inform and prioritize system-wide learning objectives and strategies which support reliable, high value care delivery.

Status Checking System of Home Appliances using machine learning

Directory of Open Access Journals (Sweden)

Yoon Chi-Yurl

2017-01-01

Full Text Available This paper describes status checking system of home appliances based on machine learning, which can be applied to existing household appliances without networking function. Designed status checking system consists of sensor modules, a wireless communication module, cloud server, android application and a machine learning algorithm. The developed system applied to washing machine analyses and judges the four-kinds of appliance’s status such as staying, washing, rinsing and spin-drying. The measurements of sensor and transmission of sensing data are operated on an Arduino board and the data are transmitted to cloud server in real time. The collected data are parsed by an Android application and injected into the machine learning algorithm for learning the status of the appliances. The machine learning algorithm compares the stored learning data with collected real-time data from the appliances. Our results are expected to contribute as a base technology to design an automatic control system based on machine learning technology for household appliances in real-time.

PERSO: Towards an Adaptive e-Learning System

Science.gov (United States)

Chorfi, Henda; Jemni, Mohamed

2004-01-01

In today's information technology society, members are increasingly required to be up to date on new technologies, particularly for computers, regardless of their background social situation. In this context, our aim is to design and develop an adaptive hypermedia e-learning system, called PERSO (PERSOnalizing e-learning system), where learners…

Divulging Personal Information within Learning Analytics Systems

Science.gov (United States)

Ifenthaler, Dirk; Schumacher, Clara

2015-01-01

The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

Directory of Open Access Journals (Sweden)

A. A. Salama

2015-03-01

Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

Implementation of an Electronic Medical Records System

Science.gov (United States)

2008-05-07

Hartman, MAJ Roddex Barlow , CPT Christopher Besser and Capt Michael Emerson...thank you I am truly honored to call each of you my friends. Electronic... abnormal findings are addressed. 18 Electronic Medical Record Implementation Barriers of the Electronic Medical Records System There are several...examination findings • Psychological and social assessment findings N. The system provides a flexible mechanism for retrieval of encounter

The Role of Corticostriatal Systems in Speech Category Learning.

Science.gov (United States)

Yi, Han-Gyol; Maddox, W Todd; Mumford, Jeanette A; Chandrasekaran, Bharath

2016-04-01

One of the most difficult category learning problems for humans is learning nonnative speech categories. While feedback-based category training can enhance speech learning, the mechanisms underlying these benefits are unclear. In this functional magnetic resonance imaging study, we investigated neural and computational mechanisms underlying feedback-dependent speech category learning in adults. Positive feedback activated a large corticostriatal network including the dorsolateral prefrontal cortex, inferior parietal lobule, middle temporal gyrus, caudate, putamen, and the ventral striatum. Successful learning was contingent upon the activity of domain-general category learning systems: the fast-learning reflective system, involving the dorsolateral prefrontal cortex that develops and tests explicit rules based on the feedback content, and the slow-learning reflexive system, involving the putamen in which the stimuli are implicitly associated with category responses based on the reward value in feedback. Computational modeling of response strategies revealed significant use of reflective strategies early in training and greater use of reflexive strategies later in training. Reflexive strategy use was associated with increased activation in the putamen. Our results demonstrate a critical role for the reflexive corticostriatal learning system as a function of response strategy and proficiency during speech category learning. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Evaluating a learning management system for blended learning in Greek higher education.

Science.gov (United States)

Kabassi, Katerina; Dragonas, Ioannis; Ntouzevits, Alexandra; Pomonis, Tzanetos; Papastathopoulos, Giorgos; Vozaitis, Yiannis

2016-01-01

This paper focuses on the usage of a learning management system in an educational institution for higher education in Greece. More specifically, the paper examines the literature on the use of different learning management systems for blended learning in higher education in Greek Universities and Technological Educational Institutions and reviews the advantages and disadvantages. Moreover, the paper describes the usage of the Open eClass platform in a Technological Educational Institution, TEI of Ionian Islands, and the effort to improve the educational material by organizing it and adding video-lectures. The platform has been evaluated by the students of the TEI of Ionian Islands based on six dimensions: namely student, teacher, course, technology, system design, and environmental dimension. The results of this evaluation revealed that Open eClass has been successfully used for blended learning in the TEI of Ionian Islands. Despite the instructors' initial worries about students' lack of participation in their courses if their educational material was made available online and especially in video lectures; blended learning did not reduce physical presence of the students in the classroom. Instead it was only used as a supplementary tool that helps students to study further, watch missed lectures, etc.

Learning Management Systems and E-Learning within Cyprus Universities

Directory of Open Access Journals (Sweden)

Amirkhanpour, Monaliz

2011-01-01

Full Text Available This paper presents an extensive research study and results on the use of existing open-source Learning Management Systems, or LMS within the public and private universities of Cyprus. The most significant objective of this research is the identification of the different types of E-Learning, i.e. Computer-Based Training (CBT, Technology-Based Learning (TBL, and Web-Based Training (WBT within Cyprus universities. The paper identifies the benefits and limitations of the main learning approaches used in higher educational institutions, i.e. synchronous and asynchronous learning, investigates the open-source LMS used in the Cypriot universities and compares their features with regards to students’ preferences for a collaborative E-Learning environment. The required data for this research study were collected from undergraduate and graduate students, alumni, faculty members, and IT professionals who currently work and/or study at the public and private universities of Cyprus. The most noteworthy recommendation of this study is the clear indication that most of the undergraduate students that extensively use the specific E-Learning platform of their university do not have a clear picture of the differences between an LMS and a VLE. This gap has to be gradually diminished in order to make optimum use of the different features offered by the specific E-Learning platform.

Multidimensional Learner Model In Intelligent Learning System

Science.gov (United States)

Deliyska, B.; Rozeva, A.

2009-11-01

The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

Adaptive Landmark-Based Navigation System Using Learning Techniques

DEFF Research Database (Denmark)

Zeidan, Bassel; Dasgupta, Sakyasingha; Wörgötter, Florentin

2014-01-01

The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal. In...... hexapod robots. As a result, it allows the robots to successfully learn to navigate to distal goals in complex environments.......The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal....... Inspired by this, we develop an adaptive landmark-based navigation system based on sequential reinforcement learning. In addition, correlation-based learning is also integrated into the system to improve learning performance. The proposed system has been applied to simulated simple wheeled and more complex...

Research on cultivating medical students' self-learning ability using teaching system integrated with learning analysis technology.

Science.gov (United States)

Luo, Hong; Wu, Cheng; He, Qian; Wang, Shi-Yong; Ma, Xiu-Qiang; Wang, Ri; Li, Bing; He, Jia

2015-01-01

Along with the advancement of information technology and the era of big data education, using learning process data to provide strategic decision-making in cultivating and improving medical students' self-learning ability has become a trend in educational research. Educator Abuwen Toffler said once, the illiterates in the future may not be the people not able to read and write, but not capable to know how to learn. Serving as educational institutions cultivating medical students' learning ability, colleges and universities should not only instruct specific professional knowledge and skills, but also develop medical students' self-learning ability. In this research, we built a teaching system which can help to restore medical students' self-learning processes and analyze their learning outcomes and behaviors. To evaluate the effectiveness of the system in supporting medical students' self-learning, an experiment was conducted in 116 medical students from two grades. The results indicated that problems in self-learning process through this system was consistent with problems raised from traditional classroom teaching. Moreover, the experimental group (using this system) acted better than control group (using traditional classroom teaching) to some extent. Thus, this system can not only help medical students to develop their self-learning ability, but also enhances the ability of teachers to target medical students' questions quickly, improving the efficiency of answering questions in class.

Fuzzy self-learning control for magnetic servo system

Science.gov (United States)

Tarn, J. H.; Kuo, L. T.; Juang, K. Y.; Lin, C. E.

1994-01-01

It is known that an effective control system is the key condition for successful implementation of high-performance magnetic servo systems. Major issues to design such control systems are nonlinearity; unmodeled dynamics, such as secondary effects for copper resistance, stray fields, and saturation; and that disturbance rejection for the load effect reacts directly on the servo system without transmission elements. One typical approach to design control systems under these conditions is a special type of nonlinear feedback called gain scheduling. It accommodates linear regulators whose parameters are changed as a function of operating conditions in a preprogrammed way. In this paper, an on-line learning fuzzy control strategy is proposed. To inherit the wealth of linear control design, the relations between linear feedback and fuzzy logic controllers have been established. The exercise of engineering axioms of linear control design is thus transformed into tuning of appropriate fuzzy parameters. Furthermore, fuzzy logic control brings the domain of candidate control laws from linear into nonlinear, and brings new prospects into design of the local controllers. On the other hand, a self-learning scheme is utilized to automatically tune the fuzzy rule base. It is based on network learning infrastructure; statistical approximation to assign credit; animal learning method to update the reinforcement map with a fast learning rate; and temporal difference predictive scheme to optimize the control laws. Different from supervised and statistical unsupervised learning schemes, the proposed method learns on-line from past experience and information from the process and forms a rule base of an FLC system from randomly assigned initial control rules.

Assessing the Value of E-Learning Systems

Science.gov (United States)

Levy, Yair

2006-01-01

"Assessing the Value of E-Learning Systems" provides an extensive literature review pulling theories from the field of information systems, psychology and cognitive sciences, distance and online learning, as well as marketing and decision sciences. This book provides empirical evidence for the power of measuring value in the context of e-learning…

Multiple systems for motor skill learning.

Science.gov (United States)

Clark, Dav; Ivry, Richard B

2010-07-01

Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Psychology > Motor Skill and Performance. Copyright © 2010 John Wiley & Sons, Ltd.

A presentation system for just-in-time learning in radiology.

Science.gov (United States)

Kahn, Charles E; Santos, Amadeu; Thao, Cheng; Rock, Jayson J; Nagy, Paul G; Ehlers, Kevin C

2007-03-01

There is growing interest in bringing medical educational materials to the point of care. We sought to develop a system for just-in-time learning in radiology. A database of 34 learning modules was derived from previously published journal articles. Learning objectives were specified for each module, and multiple-choice test items were created. A web-based system-called TEMPO-was developed to allow radiologists to select and view the learning modules. Web services were used to exchange clinical context information between TEMPO and the simulated radiology work station. Preliminary evaluation was conducted using the System Usability Scale (SUS) questionnaire. TEMPO identified learning modules that were relevant to the age, sex, imaging modality, and body part or organ system of the patient being viewed by the radiologist on the simulated clinical work station. Users expressed a high degree of satisfaction with the system's design and user interface. TEMPO enables just-in-time learning in radiology, and can be extended to create a fully functional learning management system for point-of-care learning in radiology.

Adaptive polymeric system for Hebbian type learning

OpenAIRE

2011-01-01

Abstract We present the experimental realization of an adaptive polymeric system displaying a ?learning behaviour?. The system consists on a statistically organized networks of memristive elements (memory-resitors) based on polyaniline. In a such network the path followed by the current increments its conductivity, a property which makes the system able to mimic Hebbian type learning and have application in hardware neural networks. After discussing the working principle of ...

Adaptive E-learning System in Secondary Education

Directory of Open Access Journals (Sweden)

Sofija Tosheva

2012-02-01

Full Text Available In this paper we describe an adaptive web application E-school, where students can adjust some features according to their preferences and learning style. This e-learning environment enables monitoring students progress, total time students have spent in the system, their activity on the forums, the overall achievements in lessons learned, tests performed and solutions to given projects. Personalized assistance that teacher provides in a traditional classroom is not easy to implement. Students have regular contact with teachers using e-mail tools and conversation, so teacher get mentoring role for each student. The results of exploitation of the e-learning system show positive impact in acquiring the material and improvement of student’s achievements.

Intelligent e-Learning Systems: An Educational Paradigm Shift

Directory of Open Access Journals (Sweden)

Suman Bhattacharya

2016-12-01

Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.

Simulation of noisy dynamical system by Deep Learning

Science.gov (United States)

Yeo, Kyongmin

2017-11-01

Deep learning has attracted huge attention due to its powerful representation capability. However, most of the studies on deep learning have been focused on visual analytics or language modeling and the capability of the deep learning in modeling dynamical systems is not well understood. In this study, we use a recurrent neural network to model noisy nonlinear dynamical systems. In particular, we use a long short-term memory (LSTM) network, which constructs internal nonlinear dynamics systems. We propose a cross-entropy loss with spatial ridge regularization to learn a non-stationary conditional probability distribution from a noisy nonlinear dynamical system. A Monte Carlo procedure to perform time-marching simulations by using the LSTM is presented. The behavior of the LSTM is studied by using noisy, forced Van der Pol oscillator and Ikeda equation.

Courseware Development with Animated Pedagogical Agents in Learning System to Improve Learning Motivation

Science.gov (United States)

Chin, Kai-Yi; Hong, Zeng-Wei; Huang, Yueh-Min; Shen, Wei-Wei; Lin, Jim-Min

2016-01-01

The addition of animated pedagogical agents (APAs) in computer-assisted learning (CAL) systems could successfully enhance students' learning motivation and engagement in learning activities. Conventionally, the APA incorporated multimedia materials are constructed through the cooperation of teachers and software programmers. However, the thinking…

Experiences with establishing and implementing learning management system and computer-based test system in medical college.

Science.gov (United States)

Park, Joo Hyun; Son, Ji Young; Kim, Sun

2012-09-01

The purpose of this study was to establish an e-learning system to support learning in medical education and identify solutions for improving the system. A learning management system (LMS) and computer-based test (CBT) system were established to support e-learning for medical students. A survey of 219 first- and second-grade medical students was administered. The questionnaire included 9 forced choice questions about the usability of system and 2 open-ended questions about necessary improvements to the system. The LMS consisted of a class management, class evaluation, and class attendance system. CBT consisted of a test management, item bank, and authoring tool system. The results of the survey showed a high level of satisfaction in all system usability items except for stability. Further, the advantages of the e-learning system were ensuring information accessibility, providing constant feedback, and designing an intuitive interface. Necessary improvements to the system were stability, user control, readability, and diverse device usage. Based on the findings, suggestions for developing an e-learning system to improve usability by medical students and support learning effectively are recommended.

Patterns for Designing Learning Management Systems

NARCIS (Netherlands)

Avgeriou, Paris; Retalis, Symeon; Papasalouros, Andreas

2003-01-01

Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

Which Recommender System Can Best Fit Social Learning Platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

This study aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to

Prototype learning and dissociable categorization systems in Alzheimer's disease.

Science.gov (United States)

Heindel, William C; Festa, Elena K; Ott, Brian R; Landy, Kelly M; Salmon, David P

2013-08-01

Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer's disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of

SYSTEM APPROACH TO THE BLENDED LEARNING

Directory of Open Access Journals (Sweden)

Vladimir Kukharenko

2015-10-01

Full Text Available Currently, much attention is paid to the development of learning sour cream – a combination of traditional and distance (30-70% of training. Such training is sometimes called hybrid and referred to disruptive technologies. Purpose – to show that the use of systemic campaign in blended learning provides a high quality of education, and the technology can be devastating. The subject of the study – blended learning, object of study – Mixed learning process. The analysis results show that the combined training increases the motivation of students, qualification of teachers, personalized learning process. At the same time there are no reliable methods of assessing the quality of education and training standards. It is important that blended learning strategy to support the institutional goals and had an effective organizational model for support.

Could a Mobile-Assisted Learning System Support Flipped Classrooms for Classical Chinese Learning?

Science.gov (United States)

Wang, Y.-H.

2016-01-01

In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…

IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING

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National Aeronautics and Space Administration — IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language...

LONS: Learning Object Negotiation System

Science.gov (United States)

García, Antonio; García, Eva; de-Marcos, Luis; Martínez, José-Javier; Gutiérrez, José-María; Gutiérrez, José-Antonio; Barchino, Roberto; Otón, Salvador; Hilera, José-Ramón

This system comes up as a result of the increase of e-learning systems. It manages all relevant modules in this context, such as the association of digital rights with the contents (courses), management and payment processing on rights. There are three blocks:

Maze learning by a hybrid brain-computer system.

Science.gov (United States)

Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

2016-09-13

The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

Maze learning by a hybrid brain-computer system

Science.gov (United States)

Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

2016-09-01

The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

[Multi-course web-learning system for supporting students of medical technology].

Science.gov (United States)

Honma, Satoru; Wakamatsu, Hidetoshi; Kurihara, Yuriko; Yoshida, Shoko; Sakai, Nobue

2013-05-01

Web-Learning system was developed to support the self-learning for national qualification examination and medical engineering practice by students. The results from small tests in various situations suggest that the unit-learning systems are more effective, especially for the early stage of their self learning. In addition, the answers of some questionnaire suggest that the students' motivation has a certain relation with the number of the questions in the system. That is, the less number of the questions, the easier they are worked out with a higher learning motivation by students. Thus, the system was extended to enable students to study various subjects and/or units by themselves. The system enables them to have learning effects more easily by the exercise during lectures. The effectiveness of the system was investigated on medical associated subjects installed in the system. The concerning questions of Medical engineering and Pathological histology are adequately divided into several groups, of which sixteen Web-Learning subsystems were well composed for their practical application. Our concerning various unit-learning systems were confirmed much useful for most students comparing with the case of the overall Web-Learning system.

Building machine learning systems with Python

CERN Document Server

Richert, Willi

2013-01-01

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro

Repetitive learning control of continuous chaotic systems

International Nuclear Information System (INIS)

Chen Maoyin; Shang Yun; Zhou Donghua

2004-01-01

Combining a shift method and the repetitive learning strategy, a repetitive learning controller is proposed to stabilize unstable periodic orbits (UPOs) within chaotic attractors in the sense of least mean square. If nonlinear parts in chaotic systems satisfy Lipschitz condition, the proposed controller can be simplified into a simple proportional repetitive learning controller

Expert Students in Social Learning Management Systems

Science.gov (United States)

Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro

2016-01-01

Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

Intensitas Perilaku Pengguna E-learning System dengan Model Utaut

OpenAIRE

Sari, Fatma; Purnamasari, Susan Dian

2013-01-01

This study aims to determine behavioral intention in the use of e-learning system using models UTAUT. The phenomenon underlying the research is: It is not yet optimal use of e-learning by students information systems in the learning process, not yet optimal socialization of the existence of e-learning, so that is not maximized and yet utilization measurability of the impact of using e-learning for lecturers.This study is limited in its scope: analysis of the influence of performance expectanc...

DESIGNING MOTIVATIONAL LEARNING SYSTEMS IN DISTANCE EDUCATION

Directory of Open Access Journals (Sweden)

Jale BALABAN-SALI

2008-07-01

Full Text Available ABSTRACT The designing of instruction, when considered as a process, is the determination of instructional requirements of the learner and development of functional learning systems in order to meet these requirements. In fact, as a consequence of studies on the development of effective learning systems some instructional design theories have emerged. Among these theories the motivational design theory points out that instructional processes are required to be configured with the strategies which increases the attention, relevance, confidence and satisfaction of the students for an instructional design which ensures the continuity of learning motivation. The studies indicate that the systems which are developed on the basis of mentioned strategies raise the attention of the student during instruction, develop a relevance to the students’ requirements, create a positive expectation for success and help having a satisfaction by reinforcing success. In this article, the empirical studies related with this subject and the suggestions for presenting more effective motivational instructional designs in distance learning are summarized.

An Architecture for Online Laboratory E-Learning System

Science.gov (United States)

Duan, Bing; Hosseini, Habib Mir M.; Ling, Keck Voon; Gay, Robert Kheng Leng

2006-01-01

Internet-based learning systems, or e-learning, are widely available in institutes, universities, and industrial companies, hosting regular or continuous education programs. The dream of teaching and learning from anywhere and at anytime becomes a reality due to the construction of e-learning infrastructure. Traditional teaching materials and…

E-Learning and Personalized Learning Path: A Proposal Based on the Adaptive Educational Hypermedia System

Directory of Open Access Journals (Sweden)

Francesco Colace

2014-03-01

Full Text Available The E-Learning is becoming an effective approach for the improving of quality of learning. Many institutions are adopting this approach both to improve their traditional courses both to increase the potential audience. In the last period great attention is paid in the introduction of methodologies and techniques for the adaptation of learning process to the real needs of students. In this scenario the Adaptive Educational Hypermedia System can be an effective approach. Adaptive hypermedia is a promising area of research at the crossroads of hypermedia and adaptive systems. One of the most important fields where this approach can be applied is just the e-Learning. In this context the adaptive learning resources selection and sequencing is recognized as among one of the most interesting research questions. An Adaptive Educational Hypermedia System is composed by services for the management of the Knowledge Space, the definition of a User Model, the observation of student during his learning period and, as previously said, the adaptation of the learning path according to the real needs of the students. In particular the use of ontologyཿs formalism for the modeling of the ཿknowledge space࿝ related to the course can increase the sharable of learning objects among similar courses or better contextualize their role in the course. This paper addresses the design problem of an Adaptive hypermedia system by the definition of methodologies able to manage each its components, In particular an original user, learning contents, tracking strategies and adaptation model are developed. The proposed Adaptive Educational Hypermedia System has been integrated in an e-Learning platform and an experimental campaign has been conducted. In particular the proposed approach has been introduced in three different blended courses. A comparison with traditional approach has been described and the obtained results seem to be very promising.

The Establishment of an e-Learning System Based on SDT

Directory of Open Access Journals (Sweden)

Mihyang Bang

2014-06-01

Full Text Available This study established an elementary-school English e-learning system on the basis of theory-based motivation strategies, and verified the effectiveness of the motivation strategies through educational practice and the applicability of traditional motivation theories in e-learning environments. Six motivation strategies were deducted, two from each of the three psychological needs (Autonomy, Competence, Relatedness presupposed as preconditions that increase human motivation based on the Self-Determination Theory. Next, the e-learning system intended to increase intrinsic motivation for English learning was established based on the motivation strategies. Then, this system was used for year-long educational practice in 115 private educational institutes nationwide. Finally, a survey was conducted with 2,300 students to determine whether the e-learning system applying the motivation strategies satisfied the three psychological needs of elementary-school English learners, and whether it improved intrinsic motivation for English studies. Moreover, this study analysed the correlation among motivation strategies, three psychological needs, and five motivation groups. The results revealed that the motivation strategies applied to the e-learning system had a significant influence on the three psychological needs, and those needs had a significant influence on the five motivation groups. This proved the effectiveness of motivation strategies applied to the e-learning system. It was found that SDT, the traditional motivation theory that has been applied to face-to-face classes, is also effective in the e-learning environment. Finally, even in the e-learning environment focusing on individual learning, learners were found to value relationships with others, in addition to competence, which has been studied relatively often in the past. The significance of this study is that it established a theory-based e-learning system and that it is an empirical study

Learning of spatio-temporal codes in a coupled oscillator system.

Science.gov (United States)

Orosz, Gábor; Ashwin, Peter; Townley, Stuart

2009-07-01

In this paper, we consider a learning strategy that allows one to transmit information between two coupled phase oscillator systems (called teaching and learning systems) via frequency adaptation. The dynamics of these systems can be modeled with reference to a number of partially synchronized cluster states and transitions between them. Forcing the teaching system by steady but spatially nonhomogeneous inputs produces cyclic sequences of transitions between the cluster states, that is, information about inputs is encoded via a "winnerless competition" process into spatio-temporal codes. The large variety of codes can be learned by the learning system that adapts its frequencies to those of the teaching system. We visualize the dynamics using "weighted order parameters (WOPs)" that are analogous to "local field potentials" in neural systems. Since spatio-temporal coding is a mechanism that appears in olfactory systems, the developed learning rules may help to extract information from these neural ensembles.

Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

Science.gov (United States)

Jiang, Yizhang; Wu, Dongrui; Deng, Zhaohong; Qian, Pengjiang; Wang, Jun; Wang, Guanjin; Chung, Fu-Lai; Choi, Kup-Sze; Wang, Shitong

2017-12-01

Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the classification accuracy is usually not satisfactory for two main reasons: the distributions of the data used for training and testing may be different, and the amount of training data may not be enough. In addition, most machine learning approaches generate black-box models that are difficult to interpret. In this paper, we integrate transductive transfer learning, semi-supervised learning and TSK fuzzy system to tackle these three problems. More specifically, we use transfer learning to reduce the discrepancy in data distribution between the training and testing data, employ semi-supervised learning to use the unlabeled testing data to remedy the shortage of training data, and adopt TSK fuzzy system to increase model interpretability. Two learning algorithms are proposed to train the system. Our experimental results show that the proposed approaches can achieve better performance than many state-of-the-art seizure classification algorithms.

The use of a mobile assistant learning system for health education based on project-based learning.

Science.gov (United States)

Wu, Ting-Ting

2014-10-01

With the development of mobile devices and wireless technology, mobile technology has gradually infiltrated nursing practice courses to facilitate instruction. Mobile devices save manpower and reduce errors while enhancing nursing students' professional knowledge and skills. To achieve teaching objectives and address the drawbacks of traditional education, this study presents a mobile assistant learning system to help nursing students prepare health education materials. The proposed system is based on a project-based learning strategy to assist nursing students with internalizing professional knowledge and developing critical thinking skills. Experimental results show that the proposed mobile system and project-based learning strategy can promote learning effectiveness and efficiency. Most nursing students and nursing educators showed positive attitudes toward this mobile learning system and looked forward to using it again in related courses in the future.

Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

Science.gov (United States)

Gifford, Christopher M.

2009-01-01

This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

E-Learning System for Learning Virtual Circuit Making with a Microcontroller and Programming to Control a Robot

Science.gov (United States)

Takemura, Atsushi

2015-01-01

This paper proposes a novel e-Learning system for learning electronic circuit making and programming a microcontroller to control a robot. The proposed e-Learning system comprises a virtual-circuit-making function for the construction of circuits with a versatile, Arduino microcontroller and an educational system that can simulate behaviors of…

Systems control with generalized probabilistic fuzzy-reinforcement learning

NARCIS (Netherlands)

Hinojosa, J.; Nefti, S.; Kaymak, U.

2011-01-01

Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input-output data are not available. In most combinations of fuzzy systems and RL, the environment is considered to be

A Situated Cultural Festival Learning System Based on Motion Sensing

Science.gov (United States)

Chang, Yi-Hsing; Lin, Yu-Kai; Fang, Rong-Jyue; Lu, You-Te

2017-01-01

A situated Chinese cultural festival learning system based on motion sensing is developed in this study. The primary design principle is to create a highly interactive learning environment, allowing learners to interact with Kinect through natural gestures in the designed learning situation to achieve efficient learning. The system has the…

Implementation of standards within eLearning information systems

Directory of Open Access Journals (Sweden)

Roman Malo

2007-01-01

Full Text Available Nowadays, eLearning standards' support within eLearning systems is much discussed problem. In this problem domain especially the reference model SCORM must be considered. This de-facto standard is a package of common standards and specifications used for the standardization of eLearning activities as eLearning content preparation, using e-course, communication etc. Implementation of standards itself is a process with great difficulty and time requests. Interesting and considerable approach to this problem is dividing all the process into several standalone and isolated steps focused on the individual segments of standards. This concept, in the paper described as 4-tier model of eLearning standards’ implementation, principally based upon the SCORM model enables sequential implementation of support for standards of eLearning metadata, eLearning content and also communication and navigation in e-courses. This possibility leads to portability and independence of result e-content. Discuss concept is a framework for standardization within eLearning subsystem of University Information System at Mendel University in Brno.

Towards synergy between learning management systems and educational server applications

OpenAIRE

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

2008-01-01

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

e-Learning Management System (eLMS) -

Data.gov (United States)

Department of Transportation — DOT's electronic Learning Management System (eLMS) is a state-of-the-art web-based system that meets the needs of training administrators, learners, and managers and...

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

Science.gov (United States)

Alshare, Khaled A.; Freeze, Ronald D.; Lane, Peggy L.; Wen, H. Joseph

2011-01-01

Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model…

Client Mobile Software Design Principles for Mobile Learning Systems

Directory of Open Access Journals (Sweden)

Qing Tan

2009-01-01

Full Text Available In a client-server mobile learning system, client mobile software must run on the mobile phone to acquire, package, and send student’s interaction data via the mobile communications network to the connected mobile application server. The server will receive and process the client data in order to offer appropriate content and learning activities. To develop the mobile learning systems there are a number of very important issues that must be addressed. Mobile phones have scarce computing resources. They consist of heterogeneous devices and use various mobile operating systems, they have limitations with their user/device interaction capabilities, high data communications cost, and must provide for device mobility and portability. In this paper we propose five principles for designing Client mobile learning software. A location-based adaptive mobile learning system is presented as a proof of concept to demonstrate the applicability of these design principles.

A Methodological Approach to Encourage the Service-Oriented Learning Systems Development

Science.gov (United States)

Diez, David; Malizia, Alessio; Aedo, Ignacio; Diaz, Paloma; Fernandez, Camino; Dodero, Juan-Manuel

2009-01-01

The basic idea of service-oriented learning is that a learning environment should be conceived as a set of independent units of learning packaged as learning services. The design, development and deployment of a learning system based on integrating different learning services needs both a technological platform to support the system as well as a…

Mobile Guide System Using Problem-Solving Strategy for Museum Learning: A Sequential Learning Behavioural Pattern Analysis

Science.gov (United States)

Sung, Y.-T.; Hou, H.-T.; Liu, C.-K.; Chang, K.-E.

2010-01-01

Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and…

Development of a Relational Database for Learning Management Systems

Science.gov (United States)

Deperlioglu, Omer; Sarpkaya, Yilmaz; Ergun, Ertugrul

2011-01-01

In today's world, Web-Based Distance Education Systems have a great importance. Web-based Distance Education Systems are usually known as Learning Management Systems (LMS). In this article, a database design, which was developed to create an educational institution as a Learning Management System, is described. In this sense, developed Learning…

E-Learning Recommender System Based on Collaborative Filtering and Ontology

OpenAIRE

John Tarus; Zhendong Niu; Bakhti Khadidja

2017-01-01

In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving ...

Enhancing Collaborative Learning in Web 2.0-Based E-Learning Systems: A Design Framework for Building Collaborative E-Learning Contents

Science.gov (United States)

El Mhouti, Abderrahim; Nasseh, Azeddine; Erradi, Mohamed; Vasquèz, José Marfa

2017-01-01

Today, the implication of Web 2.0 technologies in e-learning allows envisaging new teaching and learning forms, advocating an important place to the collaboration and social interaction. However, in e-learning systems, learn in a collaborative way is not always so easy because one of the difficulties when arranging e-learning courses can be that…

A Distributed Intelligent E-Learning System

Science.gov (United States)

Kristensen, Terje

2016-01-01

An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…

Learning modalities in artificial intelligence systems: a framework and review

Energy Technology Data Exchange (ETDEWEB)

Araya, A A

1982-01-01

Intelligent systems should possess two fundamental capabilities: problem solving and learning. Problem solving capabilities allow an intelligent system to cope with problems in a given domain. Learning capabilities make possible for an intelligent system to improve the solution to the problems within its current reach or to cope with new problems. This paper examines research in artificial intelligence from the perspective of learning with the purpose of: 1) developing and understanding of the problem of learning from the AI point of view, and II) characterizing the current state of the art on learning in AI. 35 references.

Learning priors for Bayesian computations in the nervous system.

Directory of Open Access Journals (Sweden)

Max Berniker

Full Text Available Our nervous system continuously combines new information from our senses with information it has acquired throughout life. Numerous studies have found that human subjects manage this by integrating their observations with their previous experience (priors in a way that is close to the statistical optimum. However, little is known about the way the nervous system acquires or learns priors. Here we present results from experiments where the underlying distribution of target locations in an estimation task was switched, manipulating the prior subjects should use. Our experimental design allowed us to measure a subject's evolving prior while they learned. We confirm that through extensive practice subjects learn the correct prior for the task. We found that subjects can rapidly learn the mean of a new prior while the variance is learned more slowly and with a variable learning rate. In addition, we found that a Bayesian inference model could predict the time course of the observed learning while offering an intuitive explanation for the findings. The evidence suggests the nervous system continuously updates its priors to enable efficient behavior.

Individual and Social Requirement Aspects of Sustainable eLearning Systems

OpenAIRE

Alharthi, Ahmed D.; Spichkova, Maria

2017-01-01

Internationalization of the higher education has created the so-called borderless university, which provides better opportunities for learning and increases the human and social sustainability. eLearning systems are a special kind of software systems, developed to provide a platform for accessible teaching and learning, including also online access to learning materials and online support for learning and teaching. The aim of our current work is to extract, analyse, and combine the results fr...

A Lecture Supporting System Based on Real-Time Learning Analytics

Science.gov (United States)

Shimada, Atsushi; Konomi, Shin'ichi

2017-01-01

A new lecture supporting system based on real-time learning analytics is proposed. Our target is on-site classrooms where teachers give their lectures, and a lot of students listen to teachers' explanation, conduct exercises etc. We utilize not only an e-Learning system, but also an e-Book system to collect real-time learning activities during the…

An Instructional and Collaborative Learning System with Content Recommendation

Science.gov (United States)

Zheng, Xiang-wei; Ma, Hong-wei; Li, Yan

2013-01-01

With the rapid development of Internet, e-learning has become a new teaching and learning mode. However, lots of e-learning systems deployed on Internet are just electronic learning materials with very limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. Firstly, iCLSR provides an…

Transitioning from learning healthcare systems to learning health care communities.

Science.gov (United States)

Mullins, C Daniel; Wingate, La'Marcus T; Edwards, Hillary A; Tofade, Toyin; Wutoh, Anthony

2018-02-26

The learning healthcare system (LHS) model framework has three core, foundational components. These include an infrastructure for health-related data capture, care improvement targets and a supportive policy environment. Despite progress in advancing and implementing LHS approaches, low levels of participation from patients and the public have hampered the transformational potential of the LHS model. An enhanced vision of a community-engaged LHS redesign would focus on the provision of health care from the patient and community perspective to complement the healthcare system as the entity that provides the environment for care. Addressing the LHS framework implementation challenges and utilizing community levers are requisite components of a learning health care community model, version two of the LHS archetype.

Distance Learning Students' Evaluation of E-Learning System in University of Tabuk, Saudi Arabia

Science.gov (United States)

Al-Juda, Mefleh Qublan B.

2017-01-01

This study evaluates the experiences and perceptions of students regarding e-learning systems and their preparedness for e-learning. It also investigates the overall perceptions of students regarding e-learning and the factors influencing students' attitudes towards e-learning. The study uses convenience sampling in which students of the Education…

Prototype Learning and Dissociable Categorization Systems in Alzheimer’s Disease

Science.gov (United States)

Heindel, William C.; Festa, Elena K.; Ott, Brian R.; Landy, Kelly M.; Salmon, David P.

2015-01-01

Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer’s disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of

Anforderungen von Studierenden an e-Learning-Systeme und an die Gestaltung elektronischer Fallbeispiele [Student’s specifications of e-learning systems for case-based teaching

Directory of Open Access Journals (Sweden)

von Müller, Lutz

2013-11-01

Full Text Available [english] Evolution of case-based teaching (CBT is influenced by student’s specifications and also by improvement of computer-based e-learning systems. In the present single center study of the University of Saarland Medical Center the medical students in the third year compared two case-based e-learning systems. CAMPUS-Classic-Player is an open system with almost unrestricted decision trees whereas the CAMPUS-Card-Player represents an educational structured e-learning platform. Learning from patients and also learning from students will be introduced as our pivotal principle for development of new e-learning strategies.A significantly better evaluation was found for the more structured CAMPUS-Card-Player with respect to profile, clarity, didactics, learning effects, and relevance for exam preparation. The student’s intentions for CBT were clearly focused on usability for preparation of future exams which can be better achieved by the help of more structured e-learning systems. The time to process and answer the cases was about for both players. We therefore propose that the time schedule for most users is limited per case irrespective of the complexity of decision trees, cases or e-learning systems. This remains to be mentioned for the design of future cases. [german] Die Weiterentwicklung von fallbasiertem Lernen wird durch die Anregungen der Studierenden („user“ und durch neue technische Entwicklungen und Möglichkeiten von e-Learning-Systemen bestimmt. In dieser prospektiven monozentrischen Studie am Universitätsklinikum des Saarlandes wurde von Studierenden des 1. und 2. klinischen Semesters Medizin eine offene (CAMPUS-Classic-Player und ein strukturierte e-Learning-Plattform (CAMPUS-Card-Player für die Darstellung elektronischer Fallbeispiele verglichen und bewertet. Signifikant besser evaluiert wurde der CAMPUS-Card-Player in Bezug auf Form, Übersichtlichkeit, Zusatzmaterialien, Didaktik, Lerneffekt, Prüfungsrelevanz und

The Impact of Individual Differences on E-Learning System Behavioral Intention

Science.gov (United States)

Liao, Peiwen; Yu, Chien; Yi, Chincheh

This study investigated the impact of contingent variables on the relationship between four predictors and employees' behavioral intention with e-learning. Seven hundred and twenty-two employees in online training and education were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and behavioral intention with e-learning systems. The results of analysis showed that three contingent variables, gender, job title and industry, significantly influenced the perceptions of predictors and employees' behavioral intention with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, gender, job title and industry, on the relationship between predictors and e-learning system behavioral intention. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system behavioral intention. The implications of these results for the management of e-learning systems are discussed.

STRATEGY FOR EVALUATION AND SELECTION OF SYSTEMS FOR ELECTRONIC LEARNING

OpenAIRE

Dubravka Mandušić; Lucija Blašković

2012-01-01

Today`s technology supported and accelerated learning time requires constant and continuous acquisition of new knowledge. On the other hand, it does not leave enough time for additional education. Increasing number of E-learning systems, withdraws a need for precise evaluation of functionality that those systems provide; so they could be reciprocally compared. While implementing new systems for electronic learning, it is very important to pre-evaluate existing systems in order to ...

Eliciting design patterns for e-learning systems

Science.gov (United States)

Retalis, Symeon; Georgiakakis, Petros; Dimitriadis, Yannis

2006-06-01

Design pattern creation, especially in the e-learning domain, is a highly complex process that has not been sufficiently studied and formalized. In this paper, we propose a systematic pattern development cycle, whose most important aspects focus on reverse engineering of existing systems in order to elicit features that are cross-validated through the use of appropriate, authentic scenarios. However, an iterative pattern process is proposed that takes advantage of multiple data sources, thus emphasizing a holistic view of the teaching learning processes. The proposed schema of pattern mining has been extensively validated for Asynchronous Network Supported Collaborative Learning (ANSCL) systems, as well as for other types of tools in a variety of scenarios, with promising results.

Live Mobile Distance Learning System for Smart Devices

Directory of Open Access Journals (Sweden)

Jang Ho Lee

2015-03-01

Full Text Available In recent years, mobile and ubiquitous computing has emerged in our daily lives, and extensive studies have been conducted in various areas using smart devices, such as tablets, smartphones, smart TVs, smart refrigerators, and smart media devices, in order to realize this computing technology. Especially, the integration of mobile networking technology and intelligent mobile devices has made it possible to develop the advanced mobile distance learning system that supports portable smart devices such as smartphones and tablets for the future IT environment. We present a synchronous mobile learning system that enables both instructor and student to participate in distance learning with their tablets. When an instructor gives a lecture using a tablet with front-face camera by bringing up slides and making annotations on them, students in the distance can watch the instructor and those slides with annotation on their own tablets in real time. A student can also ask a question or have a discussion together using the text chat feature of the system during a learning session. We also show the user evaluation of the system. A user survey shows that about 67% are in favor of the prototype of the system.

Towards an intelligent learning management system under blended learning trends, profiles and modeling perspectives

CERN Document Server

Dias, Sofia B; Hadjileontiadis, Leontios J

2013-01-01

This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

Multimedia And Internetworking Architecture Infrastructure On Interactive E-Learning System

Science.gov (United States)

Indah, K. A. T.; Sukarata, G.

2018-01-01

Interactive e-learning is a distance learning method that involves information technology, electronic system or computer as one means of learning system used for teaching and learning process that is implemented without having face to face directly between teacher and student. A strong dependence on emerging technologies greatly influences the way in which the architecture is designed to produce a powerful interactive e-learning network. In this paper analyzed an architecture model where learning can be done interactively, involving many participants (N-way synchronized distance learning) using video conferencing technology. Also used broadband internet network as well as multicast techniques as a troubleshooting method for bandwidth usage can be efficient.

Recommender Systems in Technology Enhanced Learning

NARCIS (Netherlands)

Manouselis, Nikos; Drachsler, Hendrik; Vuorikari, Riina; Hummel, Hans; Koper, Rob

2010-01-01

Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.

Internet-based Interactive Construction Management Learning System.

Science.gov (United States)

Sawhney, Anil; Mund, Andre; Koczenasz, Jeremy

2001-01-01

Describes a way to incorporate practical content into the construction engineering and management curricula: the Internet-based Interactive Construction Management Learning System, which uses interactive and adaptive learning environments to train students in the areas of construction methods, equipment and processes using multimedia, databases,…

Natural Interaction Based Online Military Boxing Learning System

Science.gov (United States)

Yang, Chenglei; Wang, Lu; Sun, Bing; Yin, Xu; Wang, Xiaoting; Liu, Li; Lu, Lin

2013-01-01

Military boxing, a kind of Chinese martial arts, is widespread and health beneficial. In this paper, the authors introduce a military boxing learning system realized by 3D motion capture, Web3D and 3D interactive technologies. The interactions with the system are natural and intuitive. Users can observe and learn the details of each action of the…

Technological learning in bioenergy systems

International Nuclear Information System (INIS)

Junginger, Martin; Visser, Erika de; Hjort-Gregersen, Kurt; Koornneef, Joris; Raven, Rob; Faaij, Andre; Turkenburg, Wim

2006-01-01

The main goal of this article is to determine whether cost reductions in different bioenergy systems can be quantified using the experience curve approach, and how specific issues (arising from the complexity of biomass energy systems) can be addressed. This is pursued by case studies on biofuelled combined heat and power (CHP) plants in Sweden, global development of fluidized bed boilers and Danish biogas plants. As secondary goal, the aim is to identify learning mechanisms behind technology development and cost reduction for the biomass energy systems investigated. The case studies reveal large difficulties to devise empirical experience curves for investment costs of biomass-fuelled power plants. To some extent, this is due to lack of (detailed) data. The main reason, however, are varying plant costs due to differences in scale, fuel type, plant layout, region etc. For fluidized bed boiler plants built on a global level, progress ratios (PRs) for the price of entire plants lies approximately between 90-93% (which is typical for large plant-like technologies). The costs for the boiler section alone was found to decline much faster. The experience curve approach delivers better results, when the production costs of the final energy carrier are analyzed. Electricity from biofuelled CHP-plants yields PRs of 91-92%, i.e. an 8-9% reduction of electricity production costs with each cumulative doubling of electricity production. The experience curve for biogas production displays a PR of 85% from 1984 to the beginning of 1990, and then levels to approximately 100% until 2002. For technologies developed on a local level (e.g. biogas plants), learning-by-using and learning-by-interacting are important learning mechanism, while for CHP plants utilizing fluidized bed boilers, upscaling is probably one of the main mechanisms behind cost reductions

Learning by Doing: Twenty Successful Active Learning Exercises for Information Systems Courses

Science.gov (United States)

Mitchell, Alanah; Petter, Stacie; Harris, Albert L.

2017-01-01

Aim/Purpose: This paper provides a review of previously published work related to active learning in information systems (IS) courses. Background: There are a rising number of strategies in higher education that offer promise in regards to getting students' attention and helping them learn, such as flipped classrooms and offering courses online.…

A New Profile Learning Model for Recommendation System based on Machine Learning Technique

Directory of Open Access Journals (Sweden)

Shereen H. Ali

2016-03-01

Full Text Available Recommender systems (RSs have been used to successfully address the information overload problem by providing personalized and targeted recommendations to the end users. RSs are software tools and techniques providing suggestions for items to be of use to a user, hence, they typically apply techniques and methodologies from Data Mining. The main contribution of this paper is to introduce a new user profile learning model to promote the recommendation accuracy of vertical recommendation systems. The proposed profile learning model employs the vertical classifier that has been used in multi classification module of the Intelligent Adaptive Vertical Recommendation (IAVR system to discover the user’s area of interest, and then build the user’s profile accordingly. Experimental results have proven the effectiveness of the proposed profile learning model, which accordingly will promote the recommendation accuracy.

failure analysis of a uav flight control system using markov analysis

African Journals Online (AJOL)

eobe

2016-01-01

Jan 1, 2016 ... Tree Analysis (FTA), Dependence Diagram Analysis. (DDA) and Markov Analysis (MA) are the most widely-used methods of probabilistic safety and reliability analysis for airborne system [1]. Fault trees analysis is a backward failure searching ..... [4] Christopher Dabrowski and Fern Hunt Markov Chain.

Inclusive E-Learning - Towards an Integrated System Design.

Science.gov (United States)

Patzer, Yasmin; Pinkwart, Niels

2017-01-01

At first sight there seem to be issues combining technical accessibility guidelines and educational needs when designing inclusive E-Learning. Furthermore Universal Design for Learning seems to contradict individualization. In this paper we address both issues with an inclusive E-Learning design for the LAYA system, which targets disabled and non-disabled learners.

Requirements for Semantic Educational Recommender Systems in Formal E-Learning Scenarios

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Jesus G. Boticario

2011-07-01

Full Text Available This paper analyzes how recommender systems can be applied to current e-learning systems to guide learners in personalized inclusive e-learning scenarios. Recommendations can be used to overcome current limitations of learning management systems in providing personalization and accessibility features. Recommenders can take advantage of standards-based solutions to provide inclusive support. To this end we have identified the need for developing semantic educational recommender systems, which are able to extend existing learning management systems with adaptive navigation support. In this paper we present three requirements to be considered in developing these semantic educational recommender systems, which are in line with the service-oriented approach of the third generation of learning management systems, namely: (i a recommendation model; (ii an open standards-based service-oriented architecture; and (iii a usable and accessible graphical user interface to deliver the recommendations.

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey.

Science.gov (United States)

Huang, Qinghua; Zhang, Fan; Li, Xuelong

2018-01-01

The ultrasound imaging is one of the most common schemes to detect diseases in the clinical practice. There are many advantages of ultrasound imaging such as safety, convenience, and low cost. However, reading ultrasound imaging is not easy. To support the diagnosis of clinicians and reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD) systems are proposed. In recent years, the success of deep learning in the image classification and segmentation led to more and more scholars realizing the potential of performance improvement brought by utilizing the deep learning in the ultrasound CAD system. This paper summarized the research which focuses on the ultrasound CAD system utilizing machine learning technology in recent years. This study divided the ultrasound CAD system into two categories. One is the traditional ultrasound CAD system which employed the manmade feature and the other is the deep learning ultrasound CAD system. The major feature and the classifier employed by the traditional ultrasound CAD system are introduced. As for the deep learning ultrasound CAD, newest applications are summarized. This paper will be useful for researchers who focus on the ultrasound CAD system.

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

Directory of Open Access Journals (Sweden)

Qinghua Huang

2018-01-01

Full Text Available The ultrasound imaging is one of the most common schemes to detect diseases in the clinical practice. There are many advantages of ultrasound imaging such as safety, convenience, and low cost. However, reading ultrasound imaging is not easy. To support the diagnosis of clinicians and reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD systems are proposed. In recent years, the success of deep learning in the image classification and segmentation led to more and more scholars realizing the potential of performance improvement brought by utilizing the deep learning in the ultrasound CAD system. This paper summarized the research which focuses on the ultrasound CAD system utilizing machine learning technology in recent years. This study divided the ultrasound CAD system into two categories. One is the traditional ultrasound CAD system which employed the manmade feature and the other is the deep learning ultrasound CAD system. The major feature and the classifier employed by the traditional ultrasound CAD system are introduced. As for the deep learning ultrasound CAD, newest applications are summarized. This paper will be useful for researchers who focus on the ultrasound CAD system.

Cognitive Models for Learning to Control Dynamic Systems

National Research Council Canada - National Science Library

Eberhart, Russ; Hu, Xiaohui; Chen, Yaobin

2008-01-01

Report developed under STTR contract for topic "Cognitive models for learning to control dynamic systems" demonstrated a swarm intelligence learning algorithm and its application in unmanned aerial vehicle (UAV) mission planning...

E-Learning Tutoring System for Sijil Pelajaran Malaysia (SPM English

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Mohd Yusof Munirah

2018-01-01

Full Text Available An E-Learning tutoring system for English (SPM is an e-learning platform for Sijil Pelajaran Malaysia English subject. E-learning is a web based application that supports the delivery of learning, skills and knowledge related to the English subject in SPM. E-learning use the technology to enable people to learn anytime and anywhere. Besides, it is developed with the purpose to evaluate student’s performance through an online quiz. Nowadays, tuition center have a lot of students, hence insufficient time to analyze the individual performance in learning English. In addition, e-learning is able to reduce the printing cost and administrative cost at the same time reducing usage of paper and printed materials associate in learning. The system developed by using Javascript and PHP language based on system prototyping methodology. The result will produce student’s performance in monthly quiz and teacher are able to monitor the performance of each students. Although the development or this e-learning is based on requirement gathered via tuition center, however it can be proposed to be by any learning center or to self-study. It is hoped that this e-learning will be able to improve student knowledge in English language and subsequently help student to obtain the best result in SPM by providing more guided references and practices.

Implementation of standards within eLearning information systems

OpenAIRE

Roman Malo

2007-01-01

Nowadays, eLearning standards' support within eLearning systems is much discussed problem. In this problem domain especially the reference model SCORM must be considered. This de-facto standard is a package of common standards and specifications used for the standardization of eLearning activities as eLearning content preparation, using e-course, communication etc. Implementation of standards itself is a process with great difficulty and time requests. Interesting and considerable approach to...

A Parametric Learning and Identification Based Robust Iterative Learning Control for Time Varying Delay Systems

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Lun Zhai

2014-01-01

Full Text Available A parametric learning based robust iterative learning control (ILC scheme is applied to the time varying delay multiple-input and multiple-output (MIMO linear systems. The convergence conditions are derived by using the H∞ and linear matrix inequality (LMI approaches, and the convergence speed is analyzed as well. A practical identification strategy is applied to optimize the learning laws and to improve the robustness and performance of the control system. Numerical simulations are illustrated to validate the above concepts.

Which recommender system can best fit social learning platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on

The Role of a Commander in Military Lessons Learned Systems

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Zenon Waliński

2015-06-01

Full Text Available The aim of the paper is to investigate the role of a commander in military Lessons Learned systems. In order to achieve the aim, the paper presents (1 the architecture of the Lessons Learned capabilities in the U.S. Army, NATO and the Polish Armed Forces, (2 the commander’s role in the Lessons Learned process (3 the commander’s role in fostering Lessons Learned organisation culture. The paper is based on multiple case study analysis including Lessons Learned systems in NATO, the U.S. Army and the Polish Armed Forces.

Which Recommender System Can Best Fit Social Learning Platforms?

OpenAIRE

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to make use of graph-walking methods for improving performance of the well-known baseline algorithms. We evaluate the proposed graph-based approach in terms of their ...

Recommender systems for technology enhanced learning research trends and applications

CERN Document Server

Manouselis, Nikos; Verbert, Katrien

2014-01-01

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

An Intelligent Computer Assisted Language Learning System for Arabic Learners

Science.gov (United States)

Shaalan, Khaled F.

2005-01-01

This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…

Leerstellen, weiße Flecken und blassrote Zeichen im Schnee. Von Sinnverlust und Sinnfindung im mythischen Land der Kham-Nomaden in Christoph Ransmayrs Roman «Der fliegende Berg»[Blank Spots, White Flecks and Pale Red Signs in the Snow. Of Meaning Lost and Found in the Mythical Land of the Kham Nomads in Christoph Ransmayr’s Novel «The Flying Mountain»

Directory of Open Access Journals (Sweden)

Gabriele Eichmanns Maier

2017-06-01

Full Text Available In his novel Der fliegende Berg, Christoph Ransmayr plays with seemingly contradictory myths that surround the Himalayan mountain Phur-Ri, a mountain that is not marked on any maps and symbolizes a void, a figment of the imagination that serves as a foil for unfulfilled longings and desires. Using Roland Barthes and Mircea Eliade as its theoretical framework, this article analyzes the function of myths in Ransmayr’s novel and explores whether his use of myth can fill the void with meaning – or whether the void remains a vacuum that repells rather than allows for any form of signification.

Machine learning paradigms applications in recommender systems

CERN Document Server

Lampropoulos, Aristomenis S

2015-01-01

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

Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning

Science.gov (United States)

Jacobson, Michael J.; Kapur, Manu; Reimann, Peter

2016-01-01

This article proposes a conceptual framework of learning based on perspectives and methodologies being employed in the study of complex physical and social systems to inform educational research. We argue that the contexts in which learning occurs are complex systems with elements or agents at different levels--including neuronal, cognitive,…

Learning Management System Success: Increasing Learning Management System Usage in Higher Education in Sub-Saharan Africa

Science.gov (United States)

Mtebe, Joel S.

2015-01-01

Learning Management Systems (LMS) have been widely adopted by higher education institutions globally for over a decade. Institutions in sub-Saharan Africa now spend a significant proportion of their limited resources on installing and maintaining these systems. This expenditure continues to increase, raising questions as to whether LMS in these…

Work in Progress - Developing Joint Degrees through E-Learning Systems

OpenAIRE

Aguirre Herrera, Sandra; Quemada Vives, Juan; Salvachúa Rodríguez, Joaquín

2008-01-01

The development of Joint Degrees is an important mechanism for opening higher education systems nationwide, adapting them to the international standard, and promoting quality assessment to a broader environment. Since e-Learning systems covers a wide range of academic programs, and as joint degrees such as e-Learning are rapidly growing trends, finding a suitable solution that enables universities to design joint degrees through their own e-Learning systems becomes necessary. This paper intro...

Process Systems Engineering Education: Learning by Research

Science.gov (United States)

Abbas, A.; Alhammadi, H. Y.; Romagnoli, J. A.

2009-01-01

In this paper, we discuss our approach in teaching the final-year course Process Systems Engineering. Students are given ownership of the course by transferring to them the responsibility of learning. A project-based group environment stimulates learning while solving a real engineering problem. We discuss postgraduate student involvement and how…

How Instructional Systems Will Manage Learning

Science.gov (United States)

Flanagan, John C.

1970-01-01

Discusses trends toward the systems approach in education including the development of effective instructional systems in government and industry; the introduction of teaching machines, programed learning, and computer- assisted instruction; and the increase in both the amount and sophistication of educational research and development. (JF)

The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

Directory of Open Access Journals (Sweden)

Won Sug Shin

2015-06-01

Full Text Available This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM. Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technological acceptance and its impact on learning activities, the present study’s results highlight the relationship between behavioral intention/learning satisfaction and learning achievement. Additionally, this study tests the theoretical model of successful mobile learning by empirically accepting mobile learning management systems. The findings further imply that students at online universities have started to accept mobile technology as a new learning tool; consequently, its acceptance has influenced their learning achievement both directly and indirectly. These discoveries should facilitate a better understanding of students’ usage of mobile learning systems in higher education, and provide timely guidance for its development and implementation.

Applications of learning based systems at AREVA group

International Nuclear Information System (INIS)

Jeanmart, F.; Leclerc, C.

2006-01-01

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

Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach

Science.gov (United States)

Graf, Sabine; Kinshuk; Liu, Tzu-Chien

2009-01-01

In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…

Patients with Parkinson's disease learn to control complex systems-an indication for intact implicit cognitive skill learning.

Science.gov (United States)

Witt, Karsten; Daniels, Christine; Daniel, Victoria; Schmitt-Eliassen, Julia; Volkmann, Jens; Deuschl, Günther

2006-01-01

Implicit memory and learning mechanisms are composed of multiple processes and systems. Previous studies demonstrated a basal ganglia involvement in purely cognitive tasks that form stimulus response habits by reinforcement learning such as implicit classification learning. We will test the basal ganglia influence on two cognitive implicit tasks previously described by Berry and Broadbent, the sugar production task and the personal interaction task. Furthermore, we will investigate the relationship between certain aspects of an executive dysfunction and implicit learning. To this end, we have tested 22 Parkinsonian patients and 22 age-matched controls on two implicit cognitive tasks, in which participants learned to control a complex system. They interacted with the system by choosing an input value and obtaining an output that was related in a complex manner to the input. The objective was to reach and maintain a specific target value across trials (dynamic system learning). The two tasks followed the same underlying complex rule but had different surface appearances. Subsequently, participants performed an executive test battery including the Stroop test, verbal fluency and the Wisconsin card sorting test (WCST). The results demonstrate intact implicit learning in patients, despite an executive dysfunction in the Parkinsonian group. They lead to the conclusion that the basal ganglia system affected in Parkinson's disease does not contribute to the implicit acquisition of a new cognitive skill. Furthermore, the Parkinsonian patients were able to reach a specific goal in an implicit learning context despite impaired goal directed behaviour in the WCST, a classic test of executive functions. These results demonstrate a functional independence of implicit cognitive skill learning and certain aspects of executive functions.

STRATEGY FOR EVALUATION AND SELECTION OF SYSTEMS FOR ELECTRONIC LEARNING

Directory of Open Access Journals (Sweden)

Dubravka Mandušić

2012-12-01

Full Text Available Today`s technology supported and accelerated learning time requires constant and continuous acquisition of new knowledge. On the other hand, it does not leave enough time for additional education. Increasing number of E-learning systems, withdraws a need for precise evaluation of functionality that those systems provide; so they could be reciprocally compared. While implementing new systems for electronic learning, it is very important to pre-evaluate existing systems in order to select the one that meets all defined parameters, with low costs/investment. Proper evaluation can save time and money.

Generalized projective synchronization of chaotic systems via adaptive learning control

International Nuclear Information System (INIS)

Yun-Ping, Sun; Jun-Min, Li; Hui-Lin, Wang; Jiang-An, Wang

2010-01-01

In this paper, a learning control approach is applied to the generalized projective synchronisation (GPS) of different chaotic systems with unknown periodically time-varying parameters. Using the Lyapunov–Krasovskii functional stability theory, a differential-difference mixed parametric learning law and an adaptive learning control law are constructed to make the states of two different chaotic systems asymptotically synchronised. The scheme is successfully applied to the generalized projective synchronisation between the Lorenz system and Chen system. Moreover, numerical simulations results are used to verify the effectiveness of the proposed scheme. (general)

Learning from the Field : Innovating China's Higher Education System

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

2008-04-15

Learning from the Field : Innovating China's Higher Education System. Couverture du livre Learning from the Field : Innovating China's Higher Education System. Editor(s):. Ronnie Vernooy, Li Xiaoyun, Xu Xiuli, Lu Min, et Qi Gubo. Publisher(s):. Foundation Book, CRDI. April 15, 2008. ISBN: 9788175966017. 260 pages.

Machine vision systems using machine learning for industrial product inspection

Science.gov (United States)

Lu, Yi; Chen, Tie Q.; Chen, Jie; Zhang, Jian; Tisler, Anthony

2002-02-01

Machine vision inspection requires efficient processing time and accurate results. In this paper, we present a machine vision inspection architecture, SMV (Smart Machine Vision). SMV decomposes a machine vision inspection problem into two stages, Learning Inspection Features (LIF), and On-Line Inspection (OLI). The LIF is designed to learn visual inspection features from design data and/or from inspection products. During the OLI stage, the inspection system uses the knowledge learnt by the LIF component to inspect the visual features of products. In this paper we will present two machine vision inspection systems developed under the SMV architecture for two different types of products, Printed Circuit Board (PCB) and Vacuum Florescent Displaying (VFD) boards. In the VFD board inspection system, the LIF component learns inspection features from a VFD board and its displaying patterns. In the PCB board inspection system, the LIF learns the inspection features from the CAD file of a PCB board. In both systems, the LIF component also incorporates interactive learning to make the inspection system more powerful and efficient. The VFD system has been deployed successfully in three different manufacturing companies and the PCB inspection system is the process of being deployed in a manufacturing plant.

Learning and Organizational Effectiveness: A Systems Perspective

Science.gov (United States)

Andreadis, Nicholas

2009-01-01

The challenge for leaders today is to create and develop the capability of their organization. Leaders must perceive and manage their organization as a dynamic, open system where learning is the core competence underlying innovation, growth, and sustainability. Creating a culture of learning is the first work of leadership. This article presents a…

Web based Interactive 3D Learning Objects for Learning Management Systems

Directory of Open Access Journals (Sweden)

Stefan Hesse

2012-02-01

Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems

Science.gov (United States)

Yoo, Hosun; Kwon, Ohbyung; Lee, Namyeon

2016-07-01

With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.

An Improved Reinforcement Learning System Using Affective Factors

Directory of Open Access Journals (Sweden)

Takashi Kuremoto

2013-07-01

Full Text Available As a powerful and intelligent machine learning method, reinforcement learning (RL has been widely used in many fields such as game theory, adaptive control, multi-agent system, nonlinear forecasting, and so on. The main contribution of this technique is its exploration and exploitation approaches to find the optimal solution or semi-optimal solution of goal-directed problems. However, when RL is applied to multi-agent systems (MASs, problems such as “curse of dimension”, “perceptual aliasing problem”, and uncertainty of the environment constitute high hurdles to RL. Meanwhile, although RL is inspired by behavioral psychology and reward/punishment from the environment is used, higher mental factors such as affects, emotions, and motivations are rarely adopted in the learning procedure of RL. In this paper, to challenge agents learning in MASs, we propose a computational motivation function, which adopts two principle affective factors “Arousal” and “Pleasure” of Russell’s circumplex model of affects, to improve the learning performance of a conventional RL algorithm named Q-learning (QL. Compared with the conventional QL, computer simulations of pursuit problems with static and dynamic preys were carried out, and the results showed that the proposed method results in agents having a faster and more stable learning performance.

Patient Safety Learning Systems: A Systematic Review and Qualitative Synthesis.

Science.gov (United States)

2017-01-01

A patient safety learning system (sometimes called a critical incident reporting system) refers to structured reporting, collation, and analysis of critical incidents. To inform a provincial working group's recommendations for an Ontario Patient Safety Event Learning System, a systematic review was undertaken to determine design features that would optimize its adoption into the health care system and would inform implementation strategies. The objective of this review was to address two research questions: (a) what are the barriers to and facilitators of successful adoption of a patient safety learning system reported by health professionals and (b) what design components maximize successful adoption and implementation? To answer the first question, we used a published systematic review. To answer the second question, we used scoping study methodology. Common barriers reported in the literature by health care professionals included fear of blame, legal penalties, the perception that incident reporting does not improve patient safety, lack of organizational support, inadequate feedback, lack of knowledge about incident reporting systems, and lack of understanding about what constitutes an error. Common facilitators included a non-accusatory environment, the perception that incident reporting improves safety, clarification of the route of reporting and of how the system uses reports, enhanced feedback, role models (such as managers) using and promoting reporting, legislated protection of those who report, ability to report anonymously, education and training opportunities, and clear guidelines on what to report. Components of a patient safety learning system that increased successful adoption and implementation were emphasis on a blame-free culture that encourages reporting and learning, clear guidelines on how and what to report, making sure the system is user-friendly, organizational development support for data analysis to generate meaningful learning outcomes

Requirements for Semantic Educational Recommender Systems in Formal E-Learning Scenarios

OpenAIRE

Jesus G. Boticario; Olga C. Santos

2011-01-01

This paper analyzes how recommender systems can be applied to current e-learning systems to guide learners in personalized inclusive e-learning scenarios. Recommendations can be used to overcome current limitations of learning management systems in providing personalization and accessibility features. Recommenders can take advantage of standards-based solutions to provide inclusive support. To this end we have identified the need for developing semantic educational recommender systems, which ...

Factors Influencing Users Satisfaction on E-Learning Systems

Directory of Open Access Journals (Sweden)

Josua Tarigan

2011-01-01

Full Text Available User satisfaction has held a central role in an organization as one of the measurements for the success of service delivery. The objectives of this study are to evaluate user satisfaction and examine the association between user satisfaction and the qualities in the e-learning systems of Multionational Company. A theoretical framework is developed, through the integration of e-learning satisfaction (ELS theory and global satisfaction theory. The analysis was organized from a set of data which involve 190 responses from end-users. The main finding confirms some degree of a positive association between user satisfaction and the qualities in the e-learning system.

Effect of reinforcement learning on coordination of multiangent systems

Science.gov (United States)

Bukkapatnam, Satish T. S.; Gao, Greg

2000-12-01

For effective coordination of distributed environments involving multiagent systems, learning ability of each agent in the environment plays a crucial role. In this paper, we develop a simple group learning method based on reinforcement, and study its effect on coordination through application to a supply chain procurement scenario involving a computer manufacturer. Here, all parties are represented by self-interested, autonomous agents, each capable of performing specific simple tasks. They negotiate with each other to perform complex tasks and thus coordinate supply chain procurement. Reinforcement learning is intended to enable each agent to reach a best negotiable price within a shortest possible time. Our simulations of the application scenario under different learning strategies reveals the positive effects of reinforcement learning on an agent's as well as the system's performance.

Reward-related learning via multiple memory systems.

Science.gov (United States)

Delgado, Mauricio R; Dickerson, Kathryn C

2012-07-15

The application of a neuroeconomic approach to the study of reward-related processes has provided significant insights in our understanding of human learning and decision making. Much of this research has focused primarily on the contributions of the corticostriatal circuitry, involved in trial-and-error reward learning. As a result, less consideration has been allotted to the potential influence of different neural mechanisms such as the hippocampus or to more common ways in human society in which information is acquired and utilized to reach a decision, such as through explicit instruction rather than trial-and-error learning. This review examines the individual contributions of multiple learning and memory neural systems and their interactions during human decision making in both normal and neuropsychiatric populations. Specifically, the anatomical and functional connectivity across multiple memory systems are highlighted to suggest that probing the role of the hippocampus and its interactions with the corticostriatal circuitry via the application of model-based neuroeconomic approaches may provide novel insights into neuropsychiatric populations that suffer from damage to one of these structures and as a consequence have deficits in learning, memory, or decision making. Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

E-Learning, State and Educational System in Middle East Countries

Science.gov (United States)

Rashidi, Hamid; Arani, Abbas Madandar; Kakia, Lida

2012-01-01

E-learning has provided men with new opportunities in teaching-learning procedures. A historical review of educational systems literature reveals that e-learning has spread out among people much faster than any other learning methods. E-learning as a state-of-the-art technology, has caused great innovations in materials development in those…

Rule based systems for big data a machine learning approach

CERN Document Server

Liu, Han; Cocea, Mihaela

2016-01-01

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Using Information Technology in the Navy Lessons Learned System to Improve Organizational Learning

National Research Council Canada - National Science Library

Garvey, Michael

2001-01-01

... to support or enhance organizational learning in the Navy. The research concludes that NLLS has improved organizational learning but has not attained as widespread use as is possible. Recommendations are provide to improve the program and increase NLLS exposure to the fleet and to the potential users of the system.

Interoperability Guidelines for Lithuanian E-Learning Management Systems

Directory of Open Access Journals (Sweden)

Eugenijus Kurilovas

2011-08-01

Full Text Available Purpose – the paper aims to analyse e-learning content and repositories along with the problems of learning organisation interoperability. The main objective of the paper is to analyse scientific research results and the newest international experience in the area and to provide interoperability guidelines and recommendations for the implementation of appropriate Lithuanian state programmes. The learning content and repositories recommendations are designed for the implementation of the Lithuanian education portal project as well as Lithuanian Virtual University (LVU programme’s information services’ (LABT / eLABa and e-learning services’ (LieDM sub-programmes. The whole education institution recommendations are designed for the maintenance and development of LVU programme’s management services’ (LieMSIS system.Design/methodology/approach – methods used for the general analysis of proposed interoperability guidelines (reccomendations were bibliographic research and comparative analysis of Lithuanian and foreign scientific works published in periodicals and large-scale EU-funded interoperability projects deliverables. System analysis and comparative analysis methods were used in order to formulate and analyse systems’ interoperability guidelines and recommendations. The author employed the experimental research method while working in the appropriate EU-funded interoperability projects to form the guidelines (recommendations. In order to summarize the results, the evaluative research method was used..Findings – the international guidelines and recommendations presented in the paper could be suitable for implementation while developing Lithuanian state education information systems such as the Lithuanian education portal, the Lithuanian academic libraries’ (eLABa system, the Lithuanian distance learning system (LieDM, and the Lithuanian universities’ management system (LieMSIS.Research limitations/implications – the paper

Interoperability Guidelines for Lithuanian E-Learning Management Systems

Directory of Open Access Journals (Sweden)

Eugenijus Kurilovas

2013-08-01

Full Text Available Purpose – the paper aims to analyse e-learning content and repositories along with the problems of learning organisation interoperability. The main objective of the paper is to analyse scientific research results and the newest international experience in the area and to provide interoperability guidelines and recommendations for the implementation of appropriate Lithuanian state programmes. The learning content and repositories recommendations are designed for the implementation of the Lithuanian education portal project as well as Lithuanian Virtual University (LVU programme’s information services’ (LABT / eLABa and e-learning services’ (LieDM sub-programmes. The whole education institution recommendations are designed for the maintenance and development of LVU programme’s management services’ (LieMSIS system.Design/methodology/approach – methods used for the general analysis of proposed interoperability guidelines (reccomendations were bibliographic research and comparative analysis of Lithuanian and foreign scientific works published in periodicals and large-scale EU-funded interoperability projects deliverables. System analysis and comparative analysis methods were used in order to formulate and analyse systems’ interoperability guidelines and recommendations. The author employed the experimental research method while working in the appropriate EU-funded interoperability projects to form the guidelines (recommendations. In order to summarize the results, the evaluative research method was used.Findings – the international guidelines and recommendations presented in the paper could be suitable for implementation while developing Lithuanian state education information systems such as the Lithuanian education portal, the Lithuanian academic libraries’ (eLABa system, the Lithuanian distance learning system (LieDM, and the Lithuanian universities’ management system (LieMSIS.Research limitations/implications – the paper

De Caniba ou Cannibale de Christophe Colomb à Caliban d’Aime Cesaire

Directory of Open Access Journals (Sweden)

Ece Yassıtepe Ayyıldız

2017-12-01

Full Text Available Le mot « caniba » apparaît dans la littérature dès le début de la colonisation du Nouveau Monde. Christophe Colomb, explorateur du nouveau continent, a appelé des Indiens comme « caniba » qui devient « cannibale » dans les « Essais » de Montaigne. Ce mot a un sens péjoratif qui signifie « mangeurs d’hommes » dans la langue des Indiens. William Shakespeare a écrit une pièce de théâtre intitulée « La Tempête » dans laquelle il a nommé l’un de ses caractères principaux comme Caliban qui est un substantif transformé du mot « Cannibale ». Caliban, le roi d’une île, a déjà perdu son règne et est devenu esclave après l’arrivée de Prospero, duc de Milan, sur l'île de Caliban. La pièce intitulée « La Tempête » écrite en 1611 est la dernière pièce de Shakespeare dont le sujet est la relation maître-esclave entre Caliban et Prospero. Aimé Césaire, aussi, dramaturge martiniquais, a écrit une pièce de théâtre intitulée « Une Tempête » qui est une adaptation pour un « théâtre nègre ». Aimé Césaire qui a écrit cette pièce dans la période postcoloniale et utilise Caliban comme le porte-parole des Noirs opprimés au cours de l’histoire. Dans cette étude, notre but est d'insister sur l’étymologie du mot « caniba » et ses apparitions dans le théâtre shakespearien et césairien et de montrer en analysant le changement du mot caniba, qui a un sens péjoratif dès le départ.

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

Science.gov (United States)

Erdt, Mojisola; Fernandez, Alejandro; Rensing, Christoph

2015-01-01

The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like…

Adaptive Management of Communication in the Chamilo System of Distant Learning

OpenAIRE

Yatsenko Roman Nikolaevich; Polevich Olesya V.

2012-01-01

The article considers the communication management within an adaptive system of distance learning. We present two-circuit interaction system of the adaptive system. We consider the implementation of management communication in distance learning system based on the platform Chamilo.

Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn

Science.gov (United States)

Leiba, Moshe; Zuzovsky, Ruth; Mioduser, David; Benayahu, Yehuda; Nachmias, Rafi

2012-01-01

A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…

E-Learning System Using Segmentation-Based MR Technique for Learning Circuit Construction

Science.gov (United States)

Takemura, Atsushi

2016-01-01

This paper proposes a novel e-Learning system using the mixed reality (MR) technique for technical experiments involving the construction of electronic circuits. The proposed system comprises experimenters' mobile computers and a remote analysis system. When constructing circuits, each learner uses a mobile computer to transmit image data from the…

Web-Based Learning Information System for Web 3.0

Science.gov (United States)

Rego, Hugo; Moreira, Tiago; García-Peñalvo, Francisco Jose

With the emergence of Web/eLearning 3.0 we have been developing/adjusting AHKME in order to face this great challenge. One of our goals is to allow the instructional designer and teacher to access standardized resources and evaluate the possibility of integration and reuse in eLearning systems, not only content but also the learning strategy. We have also integrated some collaborative tools for the adaptation of resources, as well as the collection of feedback from users to provide feedback to the system. We also provide tools for the instructional designer to create/customize specifications/ontologies to give structure and meaning to resources, manual and automatic search with recommendation of resources and instructional design based on the context, as well as recommendation of adaptations in learning resources. We also consider the concept of mobility and mobile technology applied to eLearning, allowing access by teachers and students to learning resources, regardless of time and space.

MICROSOFT CLOUD SERVICES IN DISTANCE LEARNING SYSTEM “KHERSON VIRTUAL UNIVERSITY”

Directory of Open Access Journals (Sweden)

H. Kravtsov

2014-07-01

Full Text Available E-learning with using spreadsheets requires the implementation of Excel-documents into the distance learning system. Simple and convenient solution of the problem of Excel-documents implementation is the use of cloud services. Using cloud services, you can access to information resources of any level and any type with division of the rights of various groups of users to resources, using only an Internet connection and a Web browser. Subject of research is the Microsoft cloud services. The purpose of research is development and implementation of software module «ExcelReader» to use Excel spreadsheets on the Web pages of distance learning systems. In this paper we solve the following tasks: 1 analyze the known software solutions to display Excel-documents in the WEB-based applications; 2 select an efficient software technology of processing Excel-documents; 3 design the access system and use of Web services of processing Excel-documents in distance learning system; 4 develop software module «ExcelReader» for correct display and edit Excel-documents on Web pages in distance learning; 5 implement software module «ExcelReader» in the distance learning system “Kherson Virtual University”. Processes of creating, editing and implementation of MS Office documents into electronic resources of distance learning systems were modeled. In particular, the software module «ExcelReader» for usage Excel spreadsheets on Web pages of distance learning system “Kherson Virtual University” using "cloud" service Excel Web App from Microsoft was developed and implemented in the educational process.

Learner Open Modeling in Adaptive Mobile Learning System for Supporting Student to Learn English

Directory of Open Access Journals (Sweden)

Van Cong Pham

2011-10-01

Full Text Available This paper represents a personalized context-aware mobile learning architecture for supporting student to learn English as foreign language in order to prepare for TOEFL test. We consider how to apply open learner modeling techniques to adapt contents for different learners based on context, which includes location, amount of time to learn, the manner as well as learner's knowledge in learning progress. Through negotiation with system, the editable learner model will be updated to support adaptive engine to select adaptive contents meeting learner's demands. Empirical testing results for students who used application prototype indicate that interaction user modeling is helpful in supporting learner to learn adaptive materials.

SOFTWARE IMPLEMENTATION FOR SCORM CONTENT MIGRATION IN THE LEARNING MANAGEMENT SYSTEM

Directory of Open Access Journals (Sweden)

Y. B. Popova

2017-01-01

Full Text Available Using of learning management systems increases the possibility of teachers and students in achieving their goals in education. Such systems provide learning content, help to organize and to monitor training progress, help to collect statistics. However, the transition from one LMS to another there is a problem of content migration, because all training materials and tests should either be recreated, or somehow be migrated to the new system. Content migration by hand is a very time-consuming process, so the leading developers of the learning management systems developed a standard for the organization and storage of content, called SCORM (Eng., Sharable Content Object Reference Model. Created by this standard, the content must migrate to the learning management system provided its support for these systems. SCORM standard allows you to create training content that is not dependent on the learning management system, but the loosely embedded in it. This approach enables teachers to develop unique courses and put them free available or for sale in the Internet for all interested persons, and to use educational content created by the best specialists around the world to carry out their activities. The content on the SCORM standard imposes certain requirements on the learning management systems, as they do not distort the training content and properly interact with the tests. The aim of this article is a software implementation of a content migration by SCORM standard from other learning management systems in its own development used at the Software Department of the Faculty of Information Technology and Robotics of the Belarusian National Technical University.

Learning User Preferences in Ubiquitous Systems: A User Study and a Reinforcement Learning Approach

OpenAIRE

Zaidenberg , Sofia; Reignier , Patrick; Mandran , Nadine

2010-01-01

International audience; Our study concerns a virtual assistant, proposing services to the user based on its current perceived activity and situation (ambient intelligence). Instead of asking the user to define his preferences, we acquire them automatically using a reinforcement learning approach. Experiments showed that our system succeeded the learning of user preferences. In order to validate the relevance and usability of such a system, we have first conducted a user study. 26 non-expert s...

Design and Implementation of a Cooperative Learning System for Digital Content Design Curriculum: Investigation on Learning Effectiveness and Social Presence

Science.gov (United States)

Huang, Ming-Shang; Hsiao, Wei-Hung; Chang, Tsung-Sheng; Hu, Mei-Huei

2012-01-01

The purpose of this paper is to investigate the learning effectiveness of cooperative learning system based on social presence theory. We develop a web-based cooperative learning system which contains personal module, admin module, course module, communication module, and learning records module to support the implementation of cooperative…

Using Ontologies for the E-learning System in Healthcare Human Resources Management

Directory of Open Access Journals (Sweden)

Lidia BAJENARU

2015-01-01

Full Text Available This paper provides a model for the use of ontology in e-learning systems for structuring educational content in the domain of healthcare human resources management (HHRM in Romania. In this respect we propose an effective method to improve the learning system by providing personalized learning paths created using ontology and advanced educational strategies to provide a personalized learning content for the medical staff. Personalization of e-learning process for the chosen target group will be achieved by setting up learning path for each user according to his profile. This will become possible using: domain ontology, learning objects, modeling student knowledge. Developing an ontology-based system for competence management allows complex interactions, providing intelligent interfacing. This is a new approach for the healthcare system managers in permanent training based on e-learning technologies and specific ontologies in a complex area that needs urgent modernization and efficiency to meet the public health economic, social and political context of Romania.

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems

OpenAIRE

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed...

Conceptualising and creating a global learning health system.

Science.gov (United States)

Friedman, Charles; Rigby, Michael

2013-04-01

In any country the health sector is important in terms of human wellbeing and large in terms of economics. The health sector might therefore be expected to be a finely tuned enterprise, utilising corporate knowledge in a constant process of critically reviewing and improving its activities and processes. However, this is seldom the case. Health systems and practice are highly variable and lag behind research discovery. This contrasts strongly with commercial bodies, and particularly service industries, where the concept of the learning organisation is strongly seen as the key to optimisation. A learning organisation accesses for analytic purposes operational data, which though captured and recorded for day-to-day transactions at the customer level, become also the basis of understanding changes in both demand and delivery process. In health care, the concept of the learning organisation is well grounded ethically. Anything which can improve health, including understanding of optimal care delivery processes and how to improve longer term outcomes, should be seized upon to drive service improvement - but currently this occurs haphazardly. The limitations of paper-based systems, priority given to digitalization of financial transactions, concerns about electronic data insecurity, and other factors have inhibited progress towards organisational learning at a national scale. But in recent years, new means of capturing, managing, and exchanging data have created new opportunities, while ever increasing pressures on health systems have produced strengthened incentive. In the United States, the current policy and investment impetus to electronic health records and concomitantly their 'meaningful use' create opportunities to build the foundations for data re-use for corporate learning - and thus for societal gain. In Europe and other settings there are islands of innovation, but not yet a coherent culture or impetus to build foundations for a learning health system. This

Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

Science.gov (United States)

Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E.

2012-01-01

Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…

Learning towards system innovation: Evaluating a systemic instrument

NARCIS (Netherlands)

Mierlo, B. van; Leeuwis, C.; Smits, R.; Klein Woolthuis, R.J.A.

2010-01-01

In this paper we develop an analytical framework for studying learning processes in the context of efforts to bring about system innovation by building new networks of actors who are willing to work on a change towards sustainable development. We then use it to evaluate two specific intervention

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

International Nuclear Information System (INIS)

Martinsen, Thomas

2011-01-01

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

Systems engineering, systems thinking, and learning a case study in space industry

CERN Document Server

Moser, Hubert Anton

2014-01-01

This book focuses on systems engineering, systems thinking, and how that thinking can be learned in practice. It describes a novel analytical framework based on activity theory for understanding how systems thinking evolves and how it can be improved to support multidisciplinary teamwork in the context of system development and systems engineering. This method, developed using data collected over four years from three different small space systems engineering organizations, can be applied in a wide variety of work activities in the context of engineering design and beyond in order to monitor and analyze multidisciplinary interactions in working teams over time. In addition, the book presents a practical strategy called WAVES (Work Activity for a Evolution of Systems engineering and thinking), which fosters the practical learning of systems thinking with the aim of improving process development in different industries. The book offers an excellent resource for researchers and practitioners interested in system...

The endocannabinoid system and associative learning and memory in zebrafish.

Science.gov (United States)

Ruhl, Tim; Moesbauer, Kirstin; Oellers, Nadine; von der Emde, Gerhard

2015-09-01

In zebrafish the medial pallium of the dorsal telencephalon represents an amygdala homolog structure, which is crucially involved in emotional associative learning and memory. Similar to the mammalian amygdala, the medial pallium contains a high density of endocannabinoid receptor CB1. To elucidate the role of the zebrafish endocannabinoid system in associative learning, we tested the influence of acute and chronic administration of receptor agonists (THC, WIN55,212-2) and antagonists (Rimonabant, AM-281) on two different learning paradigms. In an appetitively motivated two-alternative choice paradigm, animals learned to associate a certain color with a food reward. In a second set-up, a fish shuttle-box, animals associated the onset of a light stimulus with the occurrence of a subsequent electric shock (avoidance conditioning). Once fish successfully had learned to solve these behavioral tasks, acute receptor activation or inactivation had no effect on memory retrieval, suggesting that established associative memories were stable and not alterable by the endocannabinoid system. In both learning tasks, chronic treatment with receptor antagonists improved acquisition learning, and additionally facilitated reversal learning during color discrimination. In contrast, chronic CB1 activation prevented aversively motivated acquisition learning, while different effects were found on appetitively motivated acquisition learning. While THC significantly improved behavioral performance, WIN55,212-2 significantly impaired color association. Our findings suggest that the zebrafish endocannabinoid system can modulate associative learning and memory. Stimulation of the CB1 receptor might play a more specific role in acquisition and storage of aversive learning and memory, while CB1 blocking induces general enhancement of cognitive functions. Copyright © 2015 Elsevier B.V. All rights reserved.

A Framework of Metacognitive Scaffolding in Learning Authoring System through Facebook

Science.gov (United States)

Jumaat, Nurul Farhana; Tasir, Zaidatun

2016-01-01

Scaffolding refers to a guidance that helps students during their learning sessions whereby it makes learning easier for them. This study aims to develop a framework of metacognitive scaffolding (MS) to guide students in learning Authoring System through Facebook. Thirty-seven master degree students who were enrolled in Authoring System course…

E-Learning System for Design and Construction of Amplifier Using Transistors

Science.gov (United States)

Takemura, Atsushi

2014-01-01

This paper proposes a novel e-Learning system for the comprehensive understanding of electronic circuits with transistors. The proposed e-Learning system allows users to learn a wide range of topics, encompassing circuit theories, design, construction, and measurement. Given the fact that the amplifiers with transistors are an integral part of…

Towards a Pattern Language for Learning Management Systems

NARCIS (Netherlands)

Avgeriou, Paris; Papasalouros, Andreas; Retalis, Symeon; Skordalakis, Manolis

2003-01-01

Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

Computerized adaptive testing item selection in computerized adaptive learning systems

NARCIS (Netherlands)

Eggen, Theodorus Johannes Hendrikus Maria; Eggen, T.J.H.M.; Veldkamp, B.P.

2012-01-01

Item selection methods traditionally developed for computerized adaptive testing (CAT) are explored for their usefulness in item-based computerized adaptive learning (CAL) systems. While in CAT Fisher information-based selection is optimal, for recovering learning populations in CAL systems item

Fixed Point Learning Based Intelligent Traffic Control System

Science.gov (United States)

Zongyao, Wang; Cong, Sui; Cheng, Shao

2017-10-01

Fixed point learning has become an important tool to analyse large scale distributed system such as urban traffic network. This paper presents a fixed point learning based intelligence traffic network control system. The system applies convergence property of fixed point theorem to optimize the traffic flow density. The intelligence traffic control system achieves maximum road resources usage by averaging traffic flow density among the traffic network. The intelligence traffic network control system is built based on decentralized structure and intelligence cooperation. No central control is needed to manage the system. The proposed system is simple, effective and feasible for practical use. The performance of the system is tested via theoretical proof and simulations. The results demonstrate that the system can effectively solve the traffic congestion problem and increase the vehicles average speed. It also proves that the system is flexible, reliable and feasible for practical use.

Methodologies and intelligent systems for technology enhanced learning

CERN Document Server

Gennari, Rosella; Vitorini, Pierpaolo; Vicari, Rosa; Prieta, Fernando

2014-01-01

This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of ebuTEL 2013 conference which took place in Trento, Italy, on September, 16th 2013 and of mis4TEL 2014 conference, which took take place in Salamanca, Spain, on September, 4th-6th 2014 This conference series are an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for its design or evaluation.

Systemic Assessment as a new tool for assessing students learning ...

African Journals Online (AJOL)

Systemic Assessment [SA] has been shown to be highly effective new tool in raising the level of students academic achievements, improve their ability to learn by enhancing the process of teaching and learning, and converts students from surface to deep learning. It also allow teacher to monitor students learning ...

Developing a Mobile Learning Management System for Outdoors Nature Science Activities Based on 5E Learning Cycle

Science.gov (United States)

Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng

2015-01-01

Traditional outdoor learning activities such as inquiry-based learning in nature science encounter many dilemmas. Due to prompt development of mobile computing and widespread of mobile devices, mobile learning becomes a big trend on education. The main purpose of this study is to develop a mobile-learning management system for overcoming the…

An Empirical Study of Instructor Adoption of Web-Based Learning Systems

Science.gov (United States)

Wang, Wei-Tsong; Wang, Chun-Chieh

2009-01-01

For years, web-based learning systems have been widely employed in both educational and non-educational institutions. Although web-based learning systems are emerging as a useful tool for facilitating teaching and learning activities, the number of users is not increasing as fast as expected. This study develops an integrated model of instructor…

Learning by Doing: Twenty Successful Active Learning Exercises for Information Systems Courses

Directory of Open Access Journals (Sweden)

Alanah Mitchell

2017-01-01

Full Text Available Aim/Purpose: This paper provides a review of previously published work related to active learning in information systems (IS courses. Background: There are a rising number of strategies in higher education that offer promise in regards to getting students’ attention and helping them learn, such as flipped classrooms and offering courses online. These learning strategies are part of the pedagogical technique known as active learning. Active learning is a strategy that became popular in the early 1990s and has proven itself as a valid tool for helping students to be engaged with learning. Methodology: This work follows a systematic method for identifying and coding previous research based on an aspect of interest. The authors identified and assessed research through a search of ABI/Inform scholarly journal abstracts and keywords, as well as additional research databases, using the search terms “active learning” and “information systems” from 2000 through June 2016. Contribution: This synthesis of active learning exercises provides guidance for information technology faculty looking to implement active learning strategies in their classroom by demonstrating how IS faculty might begin to introduce more active learning techniques in their teaching as well as by presenting a sample teaching agenda for a class that uses a mix of active and passive learning techniques to engage student learning. Findings: Twenty successful types of active learning exercises in IS courses are presented. Recommendations for Practitioners\t: This paper offers a “how to” resource of successful active learning strategies for IS faculty interested in implementing active learning in the classroom. Recommendation for Researchers: This work provides an example of a systematic literature review as a means to assess successful implementations of active learning in IS. Impact on Society: An updated definition of active learning is presented as well as a meaningful

How Recommender Systems in Technology-Enhanced Learning depend on Context

NARCIS (Netherlands)

Drachsler, Hendrik; Manouselis, Nikos

2009-01-01

Drachsler, H., & Manouselis, N. (2009). How Recommender Systems in Technology-Enhanced Learning depend on Context. Presentation given at the 1st workshop on Context-aware Recommender Systems for Learning at the Alpine Rendez-Vous 2009. November, 30 - December, 3, 2009, Garmisch-Patenkirchen,

Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.

Science.gov (United States)

Cheng, Ching-An; Huang, Han-Pang

2016-12-01

We study the modeling of Lagrangian systems with multiple degrees of freedom. Based on system dynamics, canonical parametric models require ad hoc derivations and sometimes simplification for a computable solution; on the other hand, due to the lack of prior knowledge in the system's structure, modern nonparametric models in machine learning face the curse of dimensionality, especially in learning large systems. In this paper, we bridge this gap by unifying the theories of Lagrangian systems and vector-valued reproducing kernel Hilbert space. We reformulate Lagrangian systems with kernels that embed the governing Euler-Lagrange equation-the Lagrangian kernels-and show that these kernels span a subspace capturing the Lagrangian's projection as inverse dynamics. By such property, our model uses only inputs and outputs as in machine learning and inherits the structured form as in system dynamics, thereby removing the need for the mundane derivations for new systems as well as the generalization problem in learning from scratches. In effect, it learns the system's Lagrangian, a simpler task than directly learning the dynamics. To demonstrate, we applied the proposed kernel to identify the robot inverse dynamics in simulations and experiments. Our results present a competitive novel approach to identifying Lagrangian systems, despite using only inputs and outputs.

Systems Thinking, Lean Production and Action Learning

Science.gov (United States)

Seddon, John; Caulkin, Simon

2007-01-01

Systems thinking underpins "lean" management and is best understood through action-learning as the ideas are counter-intuitive. The Toyota Production System is just that--a system; the failure to appreciate that starting-place and the advocacy of "tools" leads many to fail to grasp what is, without doubt, a significant…

The Conceptual Mechanism for Viable Organizational Learning Based on Complex System Theory and the Viable System Model

Science.gov (United States)

Sung, Dia; You, Yeongmahn; Song, Ji Hoon

2008-01-01

The purpose of this research is to explore the possibility of viable learning organizations based on identifying viable organizational learning mechanisms. Two theoretical foundations, complex system theory and viable system theory, have been integrated to provide the rationale for building the sustainable organizational learning mechanism. The…

MODIS Science Algorithms and Data Systems Lessons Learned

Science.gov (United States)

Wolfe, Robert E.; Ridgway, Bill L.; Patt, Fred S.; Masuoka, Edward J.

2009-01-01

For almost 10 years, standard global products from NASA's Earth Observing System s (EOS) two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors are being used world-wide for earth science research and applications. This paper discusses the lessons learned in developing the science algorithms and the data systems needed to produce these high quality data products for the earth sciences community. Strong science team leadership and communication, an evolvable and scalable data system, and central coordination of QA and validation activities enabled the data system to grow by two orders of magnitude from the initial at-launch system to the current system able to reprocess data from both the Terra and Aqua missions in less than a year. Many of the lessons learned from MODIS are already being applied to follow-on missions.

The Among System in the Senior High School History Learning

Directory of Open Access Journals (Sweden)

Nugraha Nugraha

2018-05-01

Full Text Available This study describes the theoretical and practical aspect of the Among - system in the modern historical learning. As a preliminary research, this article formulates a conceptual framework of the Among- system in the contemporary learning, especially modern history learning. This research used library research method that conducted in Dewantara Kirti Griya Library Yogyakarta. Data analysis was done by the descriptive method of collecting data, compiling or classifying, and interpreting.

E-learning implementation in superior technical educational system

Science.gov (United States)

Musca, Gavril; Mihalache, Andrei; Musca, Elena

2016-11-01

E-learning methods apply to most modern and various domains but also represent a great tool for the mechanical educational system where there are a lot of sustained efforts for its implementation. Using, administrating and maintaining an e-learning system for a certain field of study requires knowledge related to computation system's utilization but also the understanding the working mechanisms behind it that allows the system to be fully customized in order to be perfect fitted to the user's needs and requirements. A Moodle based test is evaluated from several points of views such as coherence clarity, concise content, information synthesis capacity and the presentation mode which makes the difference between clear or fuzzy graphical representations or terms. The authors appreciate that the ability of managing information in real time by the professor is a decisive decision in order to successfully implement an e-learning web platform. Updating information and structuring trainee's activities from thoroughgoing study up to their individual proposals for conceived applications leads to a better understanding and practical knowledge of theory.

An Architecture for Open Learning Management Systems

NARCIS (Netherlands)

Avgeriou, Paris; Retalis, Simos; Skordalakis, Manolis

2003-01-01

There exists an urgent demand on defining architectures for Learning Management Systems, so that high-level frameworks for understanding these systems can be discovered, and quality attributes like portability, interoperability, reusability and modifiability can be achieved. In this paper we propose

Scheduling lessons learned from the Autonomous Power System

Science.gov (United States)

Ringer, Mark J.

1992-01-01

The Autonomous Power System (APS) project at NASA LeRC is designed to demonstrate the applications of integrated intelligent diagnosis, control, and scheduling techniques to space power distribution systems. The project consists of three elements: the Autonomous Power Expert System (APEX) for Fault Diagnosis, Isolation, and Recovery (FDIR); the Autonomous Intelligent Power Scheduler (AIPS) to efficiently assign activities start times and resources; and power hardware (Brassboard) to emulate a space-based power system. The AIPS scheduler was tested within the APS system. This scheduler is able to efficiently assign available power to the requesting activities and share this information with other software agents within the APS system in order to implement the generated schedule. The AIPS scheduler is also able to cooperatively recover from fault situations by rescheduling the affected loads on the Brassboard in conjunction with the APEX FDIR system. AIPS served as a learning tool and an initial scheduling testbed for the integration of FDIR and automated scheduling systems. Many lessons were learned from the AIPS scheduler and are now being integrated into a new scheduler called SCRAP (Scheduler for Continuous Resource Allocation and Planning). This paper will service three purposes: an overview of the AIPS implementation, lessons learned from the AIPS scheduler, and a brief section on how these lessons are being applied to the new SCRAP scheduler.

A self-learning rule base for command following in dynamical systems

Science.gov (United States)

Tsai, Wei K.; Lee, Hon-Mun; Parlos, Alexander

1992-01-01

In this paper, a self-learning Rule Base for command following in dynamical systems is presented. The learning is accomplished though reinforcement learning using an associative memory called SAM. The main advantage of SAM is that it is a function approximator with explicit storage of training samples. A learning algorithm patterned after the dynamic programming is proposed. Two artificially created, unstable dynamical systems are used for testing, and the Rule Base was used to generate a feedback control to improve the command following ability of the otherwise uncontrolled systems. The numerical results are very encouraging. The controlled systems exhibit a more stable behavior and a better capability to follow reference commands. The rules resulting from the reinforcement learning are explicitly stored and they can be modified or augmented by human experts. Due to overlapping storage scheme of SAM, the stored rules are similar to fuzzy rules.

Multi-viewpoint Smartphone AR-based Learning System for Solar Movement Observations

Directory of Open Access Journals (Sweden)

Ke Tian

2014-06-01

Full Text Available Understanding solar movement (e.g., solar diurnal motion is difficult for those are beginning to learn about astronomy. Previous research has revealed that observation-based learning can help make astronomical phenomena clearer to understand for such learners. In this research, Smartphone Augmented Reality (AR technology and 3D content were used to develop a multi-viewpoint Smartphone AR-based learning system (M-VSARLS for solar movement observations that can be used in the real-world environment. The goal of this research is to assess the usefulness of the system, usability of the AR function and 3D content, and the overall effect of the system on the learner’s motivation through task-based experiments with follow-up questionnaires. The results show that the M-VSARL system is effective in improving the observational skills and learning ability of learners, and in enhancing their motivation to learn about solar movement.

New Functions for Stimulating Learners' Motivation in a Web-Based e-Learning System

Science.gov (United States)

Matsuo, Keita; Barolli, Leonard; Xhafa, Fatos; Koyama, Akio; Durresi, Arjan

2008-01-01

Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and during the last few years enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is…

Behavioral analysis of differential Hebbian learning in closed-loop systems

DEFF Research Database (Denmark)

Kulvicius, Tomas; Kolodziejski, Christoph; Tamosiunaite, Minija

2010-01-01

Understanding closed loop behavioral systems is a non-trivial problem, especially when they change during learning. Descriptions of closed loop systems in terms of information theory date back to the 1950s, however, there have been only a few attempts which take into account learning, mostly...... measuring information of inputs. In this study we analyze a specific type of closed loop system by looking at the input as well as the output space. For this, we investigate simulated agents that perform differential Hebbian learning (STDP). In the first part we show that analytical solutions can be found...

Interactive Videos Enhance Learning about Socio-Ecological Systems

Science.gov (United States)

Smithwick, Erica; Baxter, Emily; Kim, Kyung; Edel-Malizia, Stephanie; Rocco, Stevie; Blackstock, Dean

2018-01-01

Two forms of interactive video were assessed in an online course focused on conservation. The hypothesis was that interactive video enhances student perceptions about learning and improves mental models of social-ecological systems. Results showed that students reported greater learning and attitudes toward the subject following interactive video.…

Designing E-learning Model to Learn About Transportation Management System to Support Supply Chain Management with Simulation Problems

OpenAIRE

Wiyono, Didiek Sri; Pribadi, Sidigdoyo; Permana, Ryan

2011-01-01

Focus of this research is designing Transportation Management System (TMS) as e-learning media for logistic education. E-learning is the use of Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal learning objectives. E-learning appears to be at least as effective as classical lectures. Students do not ...

Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning

Science.gov (United States)

2015-03-01

ARL-SR-0318 ● MAR 2015 US Army Research Laboratory Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated...Adaptive Intelligent Tutoring Systems for Self-Regulated Learning by Robert A Sottilare Human Research and Engineering Directorate, ARL...TITLE AND SUBTITLE Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c

Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels

Science.gov (United States)

Dwivedi, Pragya; Bharadwaj, Kamal K.

2013-01-01

In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and…

Learning Visual Representations for Perception-Action Systems

DEFF Research Database (Denmark)

Piater, Justus; Jodogne, Sebastien; Detry, Renaud

2011-01-01

and RLJC, our second method learns structural object models for robust object detection and pose estimation by probabilistic inference. To these models, the method associates grasp experiences autonomously learned by trial and error. These experiences form a nonparametric representation of grasp success......We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily complex, we argue that in many cases it is advantageous to link them rather directly to action via learned mappings....... These arguments are illustrated by two examples of our own work. First, our RLVC algorithm performs reinforcement learning directly on the visual input space. To make this very large space manageable, RLVC interleaves the reinforcement learner with a supervised classification algorithm that seeks to split...

Principles of e-learning systems engineering

CERN Document Server

Gilbert, Lester

2008-01-01

The book integrates the principles of software engineering with the principles of educational theory, and applies them to the problems of e-learning development, thus establishing the discipline of E-learning systems engineering. For the first time, these principles are collected and organised into the coherent framework that this book provides. Both newcomers to and established practitioners in the field are provided with integrated and grounded advice on theory and practice. The book presents strong practical and theoretical frameworks for the design and development of technology-based mater

E-Learning Tutoring System for Sijil Pelajaran Malaysia (SPM) English

OpenAIRE

Mohd Yusof Munirah; Lee Wah Ng; Mohamed Rozlini; Othman Muhaini

2018-01-01

An E-Learning tutoring system for English (SPM) is an e-learning platform for Sijil Pelajaran Malaysia English subject. E-learning is a web based application that supports the delivery of learning, skills and knowledge related to the English subject in SPM. E-learning use the technology to enable people to learn anytime and anywhere. Besides, it is developed with the purpose to evaluate student’s performance through an online quiz. Nowadays, tuition center have a lot of students, hence insuff...

GA-based fuzzy reinforcement learning for control of a magnetic bearing system.

Science.gov (United States)

Lin, C T; Jou, C P

2000-01-01

This paper proposes a TD (temporal difference) and GA (genetic algorithm)-based reinforcement (TDGAR) learning method and applies it to the control of a real magnetic bearing system. The TDGAR learning scheme is a new hybrid GA, which integrates the TD prediction method and the GA to perform the reinforcement learning task. The TDGAR learning system is composed of two integrated feedforward networks. One neural network acts as a critic network to guide the learning of the other network (the action network) which determines the outputs (actions) of the TDGAR learning system. The action network can be a normal neural network or a neural fuzzy network. Using the TD prediction method, the critic network can predict the external reinforcement signal and provide a more informative internal reinforcement signal to the action network. The action network uses the GA to adapt itself according to the internal reinforcement signal. The key concept of the TDGAR learning scheme is to formulate the internal reinforcement signal as the fitness function for the GA such that the GA can evaluate the candidate solutions (chromosomes) regularly, even during periods without external feedback from the environment. This enables the GA to proceed to new generations regularly without waiting for the arrival of the external reinforcement signal. This can usually accelerate the GA learning since a reinforcement signal may only be available at a time long after a sequence of actions has occurred in the reinforcement learning problem. The proposed TDGAR learning system has been used to control an active magnetic bearing (AMB) system in practice. A systematic design procedure is developed to achieve successful integration of all the subsystems including magnetic suspension, mechanical structure, and controller training. The results show that the TDGAR learning scheme can successfully find a neural controller or a neural fuzzy controller for a self-designed magnetic bearing system.

Investigating relationship between self- and co-regulatory learning processes in a workplace e-learning system

NARCIS (Netherlands)

Rahimi, E.; Tampinongkol, S.; Sedighi, M.; Van den Berg, J.; Veen, W.

2014-01-01

While supporting regulatory learning processes in work environments is increasingly becoming important, there is not a clear picture of the interaction between self- and coregulatory processes performed by learners in workplace e-learning systems. In this paper, by following a design-based research

ABOUT SYSTEM OF DISTANCE LEARNING IN OPEN ONLINE COURSE

Directory of Open Access Journals (Sweden)

V.М. Kukharenko

2012-03-01

Full Text Available This paper describes the first part of the open online course "E-Learning from A to Z", dedicated to the creation and development of system of distance learning (university or corporation. The results of the learning process and discussion on the workshop at NTU "KPI" in 2012 is shown the interest of teachers in a new form of online course and lack of development of personal learning environment. The open online courses can contribute to society practice.

The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

Science.gov (United States)

Shin, Won Sug; Kang, Minseok

2015-01-01

This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

An Architecture for Interactive Target-Oriented e/m-Learning Systems

Directory of Open Access Journals (Sweden)

Cristina De Castro

2009-12-01

Full Text Available In this paper, an architecture is proposed for the development of an e/m-Learning system with the following features: (1 learning paths can be tailored to the user’s aims and, during the learning process, dynamically modified in order to meet his needs; (2 in context of m-Learning facilities, contents can be scaled and adapted to the user’s device and connection technology. As far as learning paths are concerned, each learner is allowed to specify his initial target and, if he decides to deepen some issues, is authorised to redefine such target over time. This process is guided by a “Path Decision Module” based on Petri Nets, which checks the user’s learning level and consequently decides whether further issues can be faced or not. As for access to the system, the following scenarios are considered: UMTS (e.g.: for PDAs, DSL (e.g.: at home, WiFi (e.g.: within study lounges and libraries, wired/fiber (e.g.: within laboratories. In order to satisfy such heterogeneous requirements, contents are dynamically adapted to available technologies by means of on the fly data format conversions. The whole system relies on a hybrid LDAP-SQL database, which benefits from the joint use of directory services and relational databases. LDAP is used for the storage of learning and assessment material, whereas dynamical paths are stored in the SQL system. Analytical calculations are also presented which show the access time in each scenario and, consequently, if a certain activity can be carried out or not efficiently.

A system for learning statistical motion patterns.

Science.gov (United States)

Hu, Weiming; Xiao, Xuejuan; Fu, Zhouyu; Xie, Dan; Tan, Tieniu; Maybank, Steve

2006-09-01

Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, where objects move in predefined ways. It is highly desirable to automatically construct object motion patterns which reflect the knowledge of the scene. In this paper, we present a system for automatically learning motion patterns for anomaly detection and behavior prediction based on a proposed algorithm for robustly tracking multiple objects. In the tracking algorithm, foreground pixels are clustered using a fast accurate fuzzy K-means algorithm. Growing and prediction of the cluster centroids of foreground pixels ensure that each cluster centroid is associated with a moving object in the scene. In the algorithm for learning motion patterns, trajectories are clustered hierarchically using spatial and temporal information and then each motion pattern is represented with a chain of Gaussian distributions. Based on the learned statistical motion patterns, statistical methods are used to detect anomalies and predict behaviors. Our system is tested using image sequences acquired, respectively, from a crowded real traffic scene and a model traffic scene. Experimental results show the robustness of the tracking algorithm, the efficiency of the algorithm for learning motion patterns, and the encouraging performance of algorithms for anomaly detection and behavior prediction.

THE DOMAINS FOR THE MULTI-CRITERIA DECISIONS ABOUT E-LEARNING SYSTEMS

Directory of Open Access Journals (Sweden)

Murat Pasa UYSAL

2012-04-01

Full Text Available Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their analysis needs systematic and structured guidance to lead to better decisions. Multi-Criteria Decision Analysis (MCDA techniques are applicable in instructional technology-related research areas as well as in other academic disciplines. In this study, a conceptual domain model and a decision activity framework is proposed for E-learning systems. Instructional, technological, and administrative decision domains are included in this model. Finally, an illustrative example is given to show that AHP is an effective MCDA method for E-learning-related decisions.

Casual Games and Casual Learning About Human Biological Systems

Science.gov (United States)

Price, C. Aaron; Gean, Katherine; Christensen, Claire G.; Beheshti, Elham; Pernot, Bryn; Segovia, Gloria; Person, Halcyon; Beasley, Steven; Ward, Patricia

2016-02-01

Casual games are everywhere. People play them throughout life to pass the time, to engage in social interactions, and to learn. However, their simplicity and use in distraction-heavy environments can attenuate their potential for learning. This experimental study explored the effects playing an online, casual game has on awareness of human biological systems. Two hundred and forty-two children were given pretests at a Museum and posttests at home after playing either a treatment or control game. Also, 41 children were interviewed to explore deeper meanings behind the test results. Results show modest improvement in scientific attitudes, ability to identify human biological systems and in the children's ability to describe how those systems work together in real-world scenarios. Interviews reveal that children drew upon their prior school learning as they played the game. Also, on the surface they perceived the game as mainly entertainment but were easily able to discern learning outcomes when prompted. Implications for the design of casual games and how they can be used to enhance transfer of knowledge from the classroom to everyday life are discussed.

BASED DESIGN MOBILE LEARNING COURSE ON ANDROID OPERATING SYSTEM IN INDONESIA STMIK PADANG

Directory of Open Access Journals (Sweden)

Liranti Rahmelina

2017-09-01

Full Text Available This research in the wake of the habit among students and lecturers in the uses smartphones, mostly only used to access social networks such as facebook and twitter and have yet to take an important role in education. This study aims to produce a system design mobile learning courses Operating Systems in STMIK Indonesia Padang, preferably in the learning process in the subject of the Operating System, the nature of memorization to books and teaching conventional. These mobile devices have a degree of flexibility and portability that enable high students can access materials, referrals and information related to learning anytime and anywhere. mobile learning android ased Operating System. This material requires a solid understanding and so we need learning support media and can be repeated whenever and wherever students need. The design of supporting mobile learning media is expected to facilitate the needs of students and teachers to learn the material at any time without any limitation of time and place. This study uses SDLC (System Development Life Cycle is a method that describes the system development life cycle in the design and development of information systems. The programming language used is Java, using Eclipse IDE.

Visual Hybrid Development Learning System (VHDLS) framework for children with autism.

Science.gov (United States)

Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina

2015-10-01

The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid Development Learning System (VHDLS) framework that is based on an instructional design model, multimedia cognitive learning theory, and learning style in order to guide software developers in developing learning systems for children with autism. The results from this study showed that the attention of children with autism increased more with the proposed VHDLS framework.

The E-learning system used in the civil servants' job-training

Science.gov (United States)

Yang, Rui; Ruan, Jianhai

The Chinese government is pursuing e-learning policies which makes job-training with a knowledge-based society. To explain more fully the important role of the e-learning environment, this article undertakes some typical examples of the governments' job-training under e-learning environment. The main problems in servants' job-training in China are the low quantity in the servants' training, short of restriction, the uniform manner in the training and less fairness and availability of opportunities for educational training. In order to develop the e-learning system, the civil servant's job-training policies are provided and the measures of the effective e-learning system are designed.

Acceptance of Competency-Based Workplace e-Learning Systems: Effects of Individual and Peer Learning Support

Science.gov (United States)

Cheng, Bo; Wang, Minhong; Yang, Stephen J. H.; Kinshuk; Peng, Jun

2011-01-01

Current endeavors to integrate competency-based learning approaches with e-learning systems designed for delivery of training to adult learners in the workplace are growing. However, academic efforts in examining learners' perceptions of, and reactions toward, this technology-delivered pedagogical innovation are limited. Drawing together…

Web-based e-learning and virtual lab of human-artificial immune system.

Science.gov (United States)

Gong, Tao; Ding, Yongsheng; Xiong, Qin

2014-05-01

Human immune system is as important in keeping the body healthy as the brain in supporting the intelligence. However, the traditional models of the human immune system are built on the mathematics equations, which are not easy for students to understand. To help the students to understand the immune systems, a web-based e-learning approach with virtual lab is designed for the intelligent system control course by using new intelligent educational technology. Comparing the traditional graduate educational model within the classroom, the web-based e-learning with the virtual lab shows the higher inspiration in guiding the graduate students to think independently and innovatively, as the students said. It has been found that this web-based immune e-learning system with the online virtual lab is useful for teaching the graduate students to understand the immune systems in an easier way and design their simulations more creatively and cooperatively. The teaching practice shows that the optimum web-based e-learning system can be used to increase the learning effectiveness of the students.

The Joint Lessons Learned System and Interoperability

Science.gov (United States)

1989-06-02

Learned: 1988-1989 As mentioned in the introduction to this chaoter, the Organizacion of the JcinC Chiefs cf Staff .OJCS) ueren significant transformatioi...Organization and Functions Manual . Washington, D.C.: HQDA, Office of the Deputy Chief 0f Staff for Operations and Plans, June 1984. ’..S. Army. Concept...U.S. Department of Defense. Joint Universal Lessons Learned System (JULLS) User’s Manual . Orlando, Florida: University of Central Florida, Institute

Methodologies and Intelligent Systems for Technology Enhanced Learning

CERN Document Server

Gennari, Rosella; Vittorini, Pierpaolo; Prieta, Fernando

2015-01-01

This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of MIS4TEL 2015, which took place in Salamanca, Spain,. On June 3rd to 5th 2015. Like the previous edition, this proceedings and the conference is an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for their design or evaluation MIS4TEL’15 conference has been organized by University of L’aquila, Free University of Bozen-Bolzano and the University of Salamanca.  .

Collaborative Learning in Advanced Supply Systems: The KLASS Pilot Project.

Science.gov (United States)

Rhodes, Ed; Carter, Ruth

2003-01-01

The Knowledge and Learning in Advanced Supply Systems (KLASS) project developed collaborative learning networks of suppliers in the British automotive and aerospace industries. Methods included face-to-face and distance learning, work toward National Vocational Qualifications, and diagnostic workshops for senior managers on improving quality,…

Active Learning for Directed Exploration of Complex Systems

Science.gov (United States)

Burl, Michael C.; Wang, Esther

2009-01-01

Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fidelity representation of system behavior, but are often so slow to run that insight into the system is limited. For example, conducting an exhaustive sweep over a d-dimensional input parameter space with k-steps along each dimension requires k(sup d) simulation trials (translating into k(sup d) CPU-days for one of our current simulations). An alternative is directed exploration in which the next simulation trials are cleverly chosen at each step. Given the results of previous trials, supervised learning techniques (SVM, KDE, GP) are applied to build up simplified predictive models of system behavior. These models are then used within an active learning framework to identify the most valuable trials to run next. Several active learning strategies are examined including a recently-proposed information-theoretic approach. Performance is evaluated on a set of thirteen synthetic oracles, which serve as surrogates for the more expensive simulations and enable the experiments to be replicated by other researchers.

A Comparative Study of E-Learning System for Smart Education

Science.gov (United States)

An, SangJin; Lee, Eunkyoung; Lee, YoungJun

2013-01-01

Korean government aims to implement SMART education nationwide, so it is planning many ways to provide digital learning contents. There are some ways of distributing digital contents, and each way has its own characteristics. Edunet is a nationwide system for providing educational resource. Cyber Home Learning System is a regional service which…

Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan

Directory of Open Access Journals (Sweden)

Muneer Mahmood Abbad, David Morris, Carmel de Nahlik

2009-04-01

Full Text Available The primary questions addressed in this paper are the following: what are the factors that affect students’ adoption of an e-learning system and what are the relationships among these factors?This paper investigates and identifies some of the major factors affecting students’ adoption of an e-learning system in a university in Jordan. E-learning adoption is approached from the information systems acceptance point of view. This suggests that a prior condition for learning effectively using e-learning systems is that students must actually use them. Thus, a greater knowledge of the factors that affect IT adoption and their interrelationships is a pre-cursor to a better understanding of student acceptance of e-learning systems. In turn, this will help and guide those who develop, implement, and deliver e-learning systems.In this study, an extended version of the Technology Acceptance Model (TAM was developed to investigate the underlying factors that influence students’ decisions to use an e-learning system. The TAM was populated using data gathered from a survey of 486 undergraduate students using the Moodle based e-learning system at the Arab Open University. The model was estimated using Structural Equation Modelling (SEM. A path model was developed to analyze the relationships between the factors to explain students’ adoption of the e-learning system. Whilst findings support existing literature about prior experience affecting perceptions, they also point to surprising group effects, which may merit future exploration.

Dataset-driven research for improving recommender systems for learning

NARCIS (Netherlands)

Verbert, Katrien; Drachsler, Hendrik; Manouselis, Nikos; Wolpers, Martin; Vuorikari, Riina; Duval, Erik

2011-01-01

Verbert, K., Drachsler, H., Manouselis, N., Wolpers, M., Vuorikari, R., & Duval, E. (2011). Dataset-driven research for improving recommender systems for learning. In Ph. Long, & G. Siemens (Eds.), Proceedings of 1st International Conference Learning Analytics & Knowledge (pp. 44-53). February,

Introduction of a learning management system at the Kilimanjaro ...

African Journals Online (AJOL)

Background. Medical schools in Africa face daunting challenges including faculty shortages, growing class sizes, and inadequate resources. Learning management systems (LMS) may be powerful tools for organising and presenting curricular learning materials, with the potential for monitoring and evaluation functions.

Successful Implementation of a Computer-Supported Collaborative Learning System in Teaching E-Commerce

Science.gov (United States)

Ngai, E. W. T.; Lam, S. S.; Poon, J. K. L.

2013-01-01

This paper describes the successful application of a computer-supported collaborative learning system in teaching e-commerce. The authors created a teaching and learning environment for 39 local secondary schools to introduce e-commerce using a computer-supported collaborative learning system. This system is designed to equip students with…

Assessing E-Learning System in Higher Education Institutes: Evidence from Structural Equation Modelling

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Ali, Muhammad; Raza, Syed Ali; Qazi, Wasim; Puah, Chin-Hong

2018-01-01

Purpose: This study aims to examine university students' acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.…

Evaluating E-Learning Systems: An Empirical Investigation on Students' Perception in Higher Education Area

Directory of Open Access Journals (Sweden)

Muneer Abbad

2014-06-01

Full Text Available In search of better, traditional learning universities have expanded their ways to deliver knowledge and integrate cost effective e-learning systems. Universities' use of information and communication technologies has grown tremendously over the last decade. To ensure efficient use of the e-learning system, the Arab Open University (AOU in Bahrain was the first to use e-learning system there, aimed to evaluate the good and bad practices, detect errors and determine areas for further improvements in usage. This study critically evaluated the students' perception of the elearning system in Bahrain and recommended changes to improve students' e-learning usage. Results of the study indicated that, in general, students have favourable perceptions toward using the e-learning system. This study has shown that technology acceptance is the most variable, factor that contributes to students' perception and satisfaction of the e-learning system.

Adding Learning to Knowledge-Based Systems: Taking the "Artificial" Out of AI

Science.gov (United States)

Daniel L. Schmoldt

1997-01-01

Both, knowledge-based systems (KBS) development and maintenance require time-consuming analysis of domain knowledge. Where example cases exist, KBS can be built, and later updated, by incorporating learning capabilities into their architecture. This applies to both supervised and unsupervised learning scenarios. In this paper, the important issues for learning systems-...

Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.

Science.gov (United States)

Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

2014-01-01

Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning.

Distance Learning Delivery Systems: Instructional Options.

Science.gov (United States)

Steele, Ray L.

1993-01-01

Discusses the availability of satellite and cable programing to provide distance education opportunities in school districts. Various delivery systems are described, including telephones with speakers, personal computers, and satellite dishes; and a sidebar provides a directory of distance learning opportunities, including telecommunications…

Recommender Systems for Technology Enhanced Learning: Research Trends & Applications

NARCIS (Netherlands)

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

2014-01-01

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

A Framework for Intelligent Instructional Systems: An Artificial Intelligence Machine Learning Approach.

Science.gov (United States)

Becker, Lee A.

1987-01-01

Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

Flip-J: Development of the System for Flipped Jigsaw Supported Language Learning

Science.gov (United States)

Yamada, Masanori; Goda, Yoshiko; Hata, Kojiro; Matsukawa, Hideya; Yasunami, Seisuke

2016-01-01

This study aims to develop and evaluate a language learning system supported by the "flipped jigsaw" technique, called "Flip-J". This system mainly consists of three functions: (1) the creation of a learning material database, (2) allocation of learning materials, and (3) formation of an expert and jigsaw group. Flip-J was…

A field experiment of energy education using integrative learning support system

International Nuclear Information System (INIS)

Obayashi, Fumiaki; Yamamoto, Atsumu; Ito, Kyoko; Shimoda, Hiroshi; Yoshikawa, Hidekazu

2002-01-01

A new energy learning support system for higher education was the object of this experiment. The aim of this learning support system is to support students within an integrative study environment in which various personal skills and general knowledge on energy related issues are to be developed. The main goals of this learning tool for the students are to simulate their interest and creativity, to enhance awareness, to increase capability of researching on the subject and to improve problem-solving skills on energy related issues. The salient feature of this learning support system is that it is used for group learning by which each learner can develop the ability to reflect on the subject through mutual discussion. Moreover, in order to keep the attention of the students on the topic and provide them with a better assimilation of the curriculum, a personified agent is used as a cooperative associate who assists learners through natural communication, using voice conversation function in Japanese language. Then, the subject experiment has been conducted. Also, means of effective energy education are discussed in this research. As a conclusion, this learning support system is proven to be effective and the use of it for energy education is recommended. (author)

The Effectiveness of the Gesture-Based Learning System (GBLS and Its Impact on Learning Experience

Directory of Open Access Journals (Sweden)

Moamer Ali Shakroum

2016-06-01

Full Text Available Several studies and experiments have been conducted in recent years to examine the value and the advantage of using the Gesture-Based Learning System (GBLS.The investigation of the influence of the GBLS mode on the learning outcomes is still scarce. Most previous studies did not address more than one category of learning outcomes (cognitive, affective outcomes, etc. at the same time when used to understand the impact of GBLS. Moreover, none of these studies considered the difference in students’ characteristics such as learning styles and spatial abilities. Therefore, a comprehensive empirical research on the impact of the GBLS mode on learning outcomes is needed. The purpose of this paper is to fill in the gap and to investigate the effectiveness of the GBLS mode on learning using Technology Mediated Learning (TML models. This study revealed that the GBLS mode has greater positive impact on students’ learning outcomes (cognitive and affective outcomes when compared with other two learning modes that are classified as Computer Simulation Software Learning (CSSL mode and conventional learning mode. In addition, this study also found that the GBLS mode is capable of serving all students with different learning styles and spatial ability levels. The results of this study revealed that the GBLS mode outperformed the existing learning methods by providing a unique learning experience that considers the differences between students. The results have also shown that the Kinect user interface can create an interactive and an enjoyable learning experience.

Content Classification and Context-Based Retrieval System for E-Learning

Science.gov (United States)

Mittal, Ankush; Krishnan, Pagalthivarthi V.; Altman, Edward

2006-01-01

A recent focus in web based learning systems has been the development of reusable learning materials that can be delivered as personalized courses depending of a number of factors such as the user's background, his/her learning preferences, current knowledge based on previous assessments, or previous browsing patterns. The student is often…

Editorial: Practical applications of KM systems for organizational learning

Directory of Open Access Journals (Sweden)

Murali Raman

2013-12-01

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

Student and Staff Perceptions of a Learning Management System for Blended Learning in Teacher Education

Science.gov (United States)

Holmes, Kathryn A.; Prieto-Rodriguez, Elena

2018-01-01

Higher education institutions routinely use Learning Management Systems (LMS) for multiple purposes; to organise coursework and assessment, to facilitate staff and student interactions, and to act as repositories of learning objects. The analysis reported here involves staff (n = 46) and student (n = 470) responses to surveys as well as data…

E-learning environment as intelligent tutoring system

Science.gov (United States)

Nagyová, Ingrid

2017-07-01

The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

Lessons learned on digital systems safety

International Nuclear Information System (INIS)

Sivertsen, Terje

2005-06-01

A decade ago, in 1994, lessons learned from Halden research activities on digital systems safety were summarized in the reports HWR-374 and HWR-375, under the title 'A Lessons Learned Report on Software Dependability'. The reports reviewed all activities made at the Halden Project in this field since 1977. As such, the reports provide a wealth of information on Halden research. At the same time, the lessons learned from the different activities are made more accessible to the reader by being summarized in terms of results, conclusions and recommendations. The present report provides a new lessons learned report, covering the Halden Project research activities in this area from 1994 to medio 2005. As before, the emphasis is on the results, conclusions and recommendations made from these activities, in particular how they can be utilized by different types of organisations, such as licensing authorities, safety assessors, power companies, and software developers. The contents of the report have been edited on the basis of input from a large number of Halden work reports, involving many different authors. Brief summaries of these reports are included in the last part of the report. (Author)

An integrated system for interactive continuous learning of categorical knowledge

Science.gov (United States)

Skočaj, Danijel; Vrečko, Alen; Mahnič, Marko; Janíček, Miroslav; Kruijff, Geert-Jan M.; Hanheide, Marc; Hawes, Nick; Wyatt, Jeremy L.; Keller, Thomas; Zhou, Kai; Zillich, Michael; Kristan, Matej

2016-09-01

This article presents an integrated robot system capable of interactive learning in dialogue with a human. Such a system needs to have several competencies and must be able to process different types of representations. In this article, we describe a collection of mechanisms that enable integration of heterogeneous competencies in a principled way. Central to our design is the creation of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. We propose a hierarchy of mechanisms which are capable of engaging in different kinds of learning interactions, e.g. those initiated by a tutor or by the system itself. We present the theory these mechanisms are build upon and an instantiation of this theory in the form of an integrated robot system. We demonstrate the operation of the system in the case of learning conceptual models of objects and their visual properties.

Motor Imagery Learning Modulates Functional Connectivity of Multiple Brain Systems in Resting State

Science.gov (United States)

Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

2014-01-01

Background Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. Methodology/Principal Findings We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. Conclusions/Significance These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning. PMID:24465577

OpenU: design of an integrated system to support lifelong learning

NARCIS (Netherlands)

Hermans, Henry

2015-01-01

This thesis describes the design and first implementation of an online system for lifelong learning, that enables educational institutions to adapt the learning process to identifiable groups of adult learners. The design of this system is situated in the context of a distance teaching university

Challenges of Utilizing E-Learning Systems in Public Universities in Jordan

Directory of Open Access Journals (Sweden)

Muhannad Anwar Al-Shboul

2010-06-01

Full Text Available This research paper lists and discusses major challenges and barriers that may face faculty members at the public universities in Jordan in employing e-Learning systems authoring tools in their instructions. It also proposes several suggestions for the administrators in public universities in Jordan for what they could do to improve the utilization of e-Learning authoring tools at their campuses. E-Learning systems authoring tools allow instructors to easily create and deliver their e-contents and e-lectures. Furthermore, online course materials which uploaded by using such authoring tools could be viewed by any popular web browser system.

Incremental and developmental perspectives for general-purpose learning systems

Directory of Open Access Journals (Sweden)

Fernando Martínez-Plumed

2017-02-01

Full Text Available The stupefying success of Articial Intelligence (AI for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems.

Fidelity-Based Ant Colony Algorithm with Q-learning of Quantum System

Science.gov (United States)

Liao, Qin; Guo, Ying; Tu, Yifeng; Zhang, Hang

2018-03-01

Quantum ant colony algorithm (ACA) has potential applications in quantum information processing, such as solutions of traveling salesman problem, zero-one knapsack problem, robot route planning problem, and so on. To shorten the search time of the ACA, we suggest the fidelity-based ant colony algorithm (FACA) for the control of quantum system. Motivated by structure of the Q-learning algorithm, we demonstrate the combination of a FACA with the Q-learning algorithm and suggest the design of a fidelity-based ant colony algorithm with the Q-learning to improve the performance of the FACA in a spin-1/2 quantum system. The numeric simulation results show that the FACA with the Q-learning can efficiently avoid trapping into local optimal policies and increase the speed of convergence process of quantum system.

Enhancing Adaptive Capacity in Food Systems: Learning at Farmers' Markets in Sweden

Directory of Open Access Journals (Sweden)

Rebecka Milestad

2010-09-01

Full Text Available This article examines how local food systems in the form of farmers' markets can enhance adaptive capacity and build social-ecological resilience. It does this by exploring the learning potential among farmers and customers. Learning can enable actors to adapt successfully and thus build adaptive capacity. Three forms of learning are investigated: instrumental, communicative, and emancipatory. These forms of learning constitute the foundation for lasting changes of behaviors. Local food systems are characterized by close links and opportunities for face-to-face interactions between consumers and producers of food, and are also institutions where farmers and customers can express and act upon their ethical values concerning food. However, local food systems are still a marginal phenomenon and cannot be accessed by all consumers. Interviews were held with customers and farmers, and the interactions between farmers and customers were observed at two farmers' markets in Sweden. Customers and farmers were found to learn and adapt to each other due to the opportunities offered by the farmers' markets. We found that farmers and customers learned in the instrumental and communicative domains, but could not confirm emancipatory learning. We concluded that the feedback between customers and farmers offers the potential for learning, which in turn contributes to adaptive capacity. This can be a driving force for building resilience in the food system.

Personalized Recommender System for e-Learning Environment

Science.gov (United States)

Benhamdi, Soulef; Babouri, Abdesselam; Chiky, Raja

2017-01-01

Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner's needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions…

Implementing the learning health care system.

NARCIS (Netherlands)

Verheij, R.; Barten, D.J.; Hek, K.; Nielen, M.; Prins, M.; Zwaanswijk, M.; Bakker, D. de

2014-01-01

Background: As computerisation of primary care facilities is rapidly increasing, a wealth of data is created in routinely recorded electronic health records (EHRs). This data can be used to create a true learning health care system, in which routinely available data are processed and analysed in

Information systems supported organizational learning as a competitive advantage

Directory of Open Access Journals (Sweden)

Jose Manuel Arias

2013-07-01

Full Text Available Purpose: The purpose of this paper is to analyze the characteristics that make information systems useful in gathering and processing information with the aim of organizational learning and subsequent structural adaptation for better fitting to market requirements. Design/methodology/approach: Adaptation is a must when turning to foster the competitiveness and sustainability of the organization. Findings and Originality/value: It is clear that information systems can really create a difference in the way an organization acquires information from its environment and from itself in order to achieve a high-quality decision taking process. Research limitations/implications: Organizations have to look inside themselves in order to ensure the comprehension of their core competencies and the way they carry them out. Practical implications: Organizational learning is one of the means employed by organizations to get adapted to their surrounding environment. Social implications: Systems engineering techniques can be applied in order to leverage these core competencies and make organizations adaptable to the organizational environment requirements through the use of information systems. Originality/value: To obtain competitive advantages in the market. Keywords: competitive advantage, information systems, knowledge management, & the learning organization.

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems.

Science.gov (United States)

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed that the optimal accuracy in the PA condition was significantly decreased when the training time was reduced from 7 to 3 s, but this did not occur in the FB condition, although shortened training time impaired the acquisition of explicit knowledge in both conditions. The results of Experiment 2 showed that the concurrent working memory task impaired the optimal accuracy and the acquisition of explicit knowledge in the PA condition but did not influence the optimal accuracy or the acquisition of self-insight knowledge in the FB condition. The apparent dissociation results between the FB and PA conditions suggested that a non-declarative or procedural learning system is involved in the FB-WPT and provided new evidence for the multiple-systems theory of human category learning.

3D interactive augmented reality-enhanced digital learning systems for mobile devices

Science.gov (United States)

Feng, Kai-Ten; Tseng, Po-Hsuan; Chiu, Pei-Shuan; Yang, Jia-Lin; Chiu, Chun-Jie

2013-03-01

With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

EFFECTIVENESS OF LEARNING PROCESS USING “WEB TECHNOLOGY” IN THE DISTANCE LEARNING SYSTEM

Directory of Open Access Journals (Sweden)

Manoj KILLEDAR

2008-10-01

Full Text Available Web is a globally distributed, still highly personalized media for cost-effective delivery of multimedia information and services. Web is expected to have a strong impact on almost every aspect of how we learn. ‘Total Quality’ is the totality of features, as perceived by the customers of the product or service. Totality of features includes stated as well as implied needs and expectations of all types of customers. No quality improvement is possible without its unambiguous measurement. But, ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’ cannot be measured unless it is expressed in measurable clear terms which include complete spectrum of student support and educational services. A model for ‘Total Quality’ of an open and distance education system was used to measure impact of the “Web Technology” on the ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’. Evidence indicates that application of the proposed model for ‘Total Quality’ and ‘Web Technology’ can simultaneously optimize quality, access and cost. Thus, a better learning experience can be provided even in open and distance education system, which can be comparable with the best. This study found that it was difficult for the subjects to decide the clear cut superiority regarding the effectiveness of ‘Traditional Classroom’ or ‘Virtual Classroom’.

On Logical Characterisation of Human Concept Learning based on Terminological Systems

DEFF Research Database (Denmark)

Badie, Farshad

2018-01-01

The central focus of this article is the epistemological assumption that knowledge could be generated based on human beings' experiences and over their conceptions of the world. Logical characterisation of human inductive learning over their produced conceptions within terminological systems and ...... and analysis of actual human inductive reasoning (and learning). This research connects with the topics 'logic & learning', 'cognitive modelling' and 'terminological knowledge representation'.......The central focus of this article is the epistemological assumption that knowledge could be generated based on human beings' experiences and over their conceptions of the world. Logical characterisation of human inductive learning over their produced conceptions within terminological systems...

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

Science.gov (United States)

McClelland, James L

2013-11-01

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

Am I Extravert or Introvert? Considering the Personality Effect toward e-Learning System

Science.gov (United States)

Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung

2013-01-01

A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…

Mind map learning for advanced engineering study: case study in system dynamics

Science.gov (United States)

Woradechjumroen, Denchai

2018-01-01

System Dynamics (SD) is one of the subjects that were use in learning Automatic Control Systems in dynamic and control field. Mathematical modelling and solving skills of students for engineering systems are expecting outcomes of the course which can be further used to efficiently study control systems and mechanical vibration; however, the fundamental of the SD includes strong backgrounds in Dynamics and Differential Equations, which are appropriate to the students in governmental universities that have strong skills in Mathematics and Scientifics. For private universities, students are weak in the above subjects since they obtained high vocational certificate from Technical College or Polytechnic School, which emphasize the learning contents in practice. To enhance their learning for improving their backgrounds, this paper applies mind maps based problem based learning to relate the essential relations of mathematical and physical equations. With the advantages of mind maps, each student is assigned to design individual mind maps for self-leaning development after they attend the class and learn overall picture of each chapter from the class instructor. Four problems based mind maps learning are assigned to each student. Each assignment is evaluated via mid-term and final examinations, which are issued in terms of learning concepts and applications. In the method testing, thirty students are tested and evaluated via student learning backgrounds in the past. The result shows that well-design mind maps can improve learning performance based on outcome evaluation. Especially, mind maps can reduce time-consuming and reviewing for Mathematics and Physics in SD significantly.

Threat driven modeling framework using petri nets for e-learning system.

Science.gov (United States)

Khamparia, Aditya; Pandey, Babita

2016-01-01

Vulnerabilities at various levels are main cause of security risks in e-learning system. This paper presents a modified threat driven modeling framework, to identify the threats after risk assessment which requires mitigation and how to mitigate those threats. To model those threat mitigations aspects oriented stochastic petri nets are used. This paper included security metrics based on vulnerabilities present in e-learning system. The Common Vulnerability Scoring System designed to provide a normalized method for rating vulnerabilities which will be used as basis in metric definitions and calculations. A case study has been also proposed which shows the need and feasibility of using aspect oriented stochastic petri net models for threat modeling which improves reliability, consistency and robustness of the e-learning system.

Strategies for adding adaptive learning mechanisms to rule-based diagnostic expert systems

Science.gov (United States)

Stclair, D. C.; Sabharwal, C. L.; Bond, W. E.; Hacke, Keith

1988-01-01

Rule-based diagnostic expert systems can be used to perform many of the diagnostic chores necessary in today's complex space systems. These expert systems typically take a set of symptoms as input and produce diagnostic advice as output. The primary objective of such expert systems is to provide accurate and comprehensive advice which can be used to help return the space system in question to nominal operation. The development and maintenance of diagnostic expert systems is time and labor intensive since the services of both knowledge engineer(s) and domain expert(s) are required. The use of adaptive learning mechanisms to increment evaluate and refine rules promises to reduce both time and labor costs associated with such systems. This paper describes the basic adaptive learning mechanisms of strengthening, weakening, generalization, discrimination, and discovery. Next basic strategies are discussed for adding these learning mechanisms to rule-based diagnostic expert systems. These strategies support the incremental evaluation and refinement of rules in the knowledge base by comparing the set of advice given by the expert system (A) with the correct diagnosis (C). Techniques are described for selecting those rules in the in the knowledge base which should participate in adaptive learning. The strategies presented may be used with a wide variety of learning algorithms. Further, these strategies are applicable to a large number of rule-based diagnostic expert systems. They may be used to provide either immediate or deferred updating of the knowledge base.

Design Support System for Open Distance Learning Student Teamwork

Science.gov (United States)

Putranto, A.; Pradipto, Y. D.

2017-01-01

Open distance learning students in doing team assignment, they seldom face to some problems such as student fell unfair in numbers of workload contribution, instructors also do not know which students do more work than others. So there are some questions ie: how to connect between instructor, team members, and working documents. Methods will be used are first, analyzing current condition and last by designing systems to connect between instructor, team members, and document. The expected result is support systems for open distance learning student teamwork.

Location Based Services for Outdoor Ecological Learning System: Design and Implementation

Science.gov (United States)

Hsiao, Hsien-Sheng; Lin, Chih-Cheng; Feng, Ruei-Ting; Li, Kun Jing

2010-01-01

This paper aimed to demonstrate how location-based services were implemented in ubiquitous outdoor ecological learning system. In an elementary school in northern Taiwan, two fifth grade classes on an ecology project were randomly selected: The experimental group could access the ecological learning system on hand-held devices while the control…

Glaucoma Research Foundation

Science.gov (United States)

... born with glaucoma. Read her story » Learn About Glaucoma Glaucoma is a complicated disease in which damage ... Christopher doesn't ever want to go blind » Glaucoma 360 Glaucoma 360 — three days of events uniting ...

Interactive Rhythm Learning System by Combining Tablet Computers and Robots

Directory of Open Access Journals (Sweden)

Chien-Hsing Chou

2017-03-01

Full Text Available This study proposes a percussion learning device that combines tablet computers and robots. This device comprises two systems: a rhythm teaching system, in which users can compose and practice rhythms by using a tablet computer, and a robot performance system. First, teachers compose the rhythm training contents on the tablet computer. Then, the learners practice these percussion exercises by using the tablet computer and a small drum set. The teaching system provides a new and user-friendly score editing interface for composing a rhythm exercise. It also provides a rhythm rating function to facilitate percussion training for children and improve the stability of rhythmic beating. To encourage children to practice percussion exercises, a robotic performance system is used to interact with the children; this system can perform percussion exercises for students to listen to and then help them practice the exercise. This interaction enhances children’s interest and motivation to learn and practice rhythm exercises. The results of experimental course and field trials reveal that the proposed system not only increases students’ interest and efficiency in learning but also helps them in understanding musical rhythms through interaction and composing simple rhythms.

The Relationship of Learning and Performance Diagnosis at Different System Levels.

Science.gov (United States)

Lubega, Khalid

2003-01-01

Examines learning and performance diagnosis, separately and in relation to each other, as they function in organization systems; explains the relationship between learning and performance diagnosis at the individual, process, and organizational levels using a three-level performance model; and discusses types of learning, including nonlearning,…

systemic approach to teaching and learning chemistry

African Journals Online (AJOL)

unesco

2National Core Group in Chemistry, H.E.J Research Institute of Chemistry,. University of ... innovative way of teaching and learning through systemic approach (SATL) has been .... available to do useful work in a thermodynamic process.

Machine Learning Method Applied in Readout System of Superheated Droplet Detector

Science.gov (United States)

Liu, Yi; Sullivan, Clair Julia; d'Errico, Francesco

2017-07-01

Direct readability is one advantage of superheated droplet detectors in neutron dosimetry. Utilizing such a distinct characteristic, an imaging readout system analyzes image of the detector for neutron dose readout. To improve the accuracy and precision of algorithms in the imaging readout system, machine learning algorithms were developed. Deep learning neural network and support vector machine algorithms are applied and compared with generally used Hough transform and curvature analysis methods. The machine learning methods showed a much higher accuracy and better precision in recognizing circular gas bubbles.

Analysing Information Systems Security In Higher Learning Institutions Of Uganda

OpenAIRE

Mugyenyi Raymond

2017-01-01

Information communication technology has increased globalisation in higher learning institution all over the world. This has been achieved through introduction of systems that ease operations related to information handling in the institutions. The paper assessed and analysed the information systems security performance status in higher learning institutions of Uganda. The existing policies that govern the information security have also been analysed together with the current status of inform...

The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

OpenAIRE

Won Sug Shin; Minseok Kang

2015-01-01

This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technol...

Identification of Learning Management Systems Functional Areas and Limitations (Case Study: E-Learning Center of University of Tehran

Directory of Open Access Journals (Sweden)

Ali akbar Farhangi

2018-06-01

Full Text Available Currently, ICT and educational processes are experiencing development and innovation. This new trend will help promote educational technology and enhance innovations regarding educational planning. E-learning is considered as one of the most prominent ICT applications across the world. Advantages of virtual learning have entailed daily usage in various universities. Learning management systems are specific web-based systems to manage, track students, define courses, and evaluate the learners. However, these systems may involve inefficiencies and disadvantages as well. This paper attempts to identify the LMS functional areas in University of Tehran based on a specific conceptual framework and to present the relevant issues and problems for each dimension. The data for the present study were collected using focused group interviews, system observations. The researchers also compared the documents and the university system with that of other universities. The results of the theme analysis indicated that “communication” and “system cooperation” dimensions are involved with more important problems and issues. The researchers believe that the main issues are due to the test modules, evaluations, and systemic and underlying databases.

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

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Jerzy Balicki

2017-03-01

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

An Online Interactive Competition Model for E-Learning System ...

African Journals Online (AJOL)

An Online Interactive Competition Model for E-Learning System. ... A working prototype of the system was developed using MySQL Database Management System (DBMS), PHP as the scripting language and Apache as the web server. The system was tested and the results were presented graphically in this paper.

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

OpenAIRE

Jerzy Balicki; Waldemar Korłub

2017-01-01

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

The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System

Science.gov (United States)

Ghauth, Khairil Imran; Abdullah, Nor Aniza

2011-01-01

One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions

NARCIS (Netherlands)

Sandy, Heleau; Drachsler, Hendrik; Gillet, Dennis

2009-01-01

Heleou, S., Drachsler, H., & Gillet, D. (2009). Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions. 1st workshop on Context-aware Recommender Systems for Learning at the Alpine Rendez-Vous. November, 30-December, 3, 2009, Garmisch-Patenkirchen,

Development of an E-Learning Platform for Vocational Education Systems in Germany

Science.gov (United States)

Schober, Andreas; Müller, Frederik; Linden, Sabine; Klois, Martha; Künne, Bernd

2014-01-01

This paper describes an existing web-based learning platform named "Third Place of Learning" (TPL)--"Dritter Lernort". This project's aim is to connect the system of vocational education with digital media by a web-based learning platform. TPL supports student's digital learning by means of interactive examples and exercises.…

Teaching strategic and systems design to facilitate collaboration and learning

Directory of Open Access Journals (Sweden)

Andre Liem

2012-08-01

Full Text Available As strategic and systems approaches are becoming more relevant in design education when it concerns collaborative projects with the industry, an explicit systems design methodology is needed to structure collaboration and learning among students, educators, and the Norwegian industry. This article describes three alternative studio projects for teaching strategic and systems design with the involvement of Norwegian companies. Besides this, the approaches and fundamental theories of design thinking and reasoning, which are characteristic of these projects, were reflected against each other. In the undergraduate (year 2 systems thinking design studio, the challenge was to train students to understand how system elements are rationally interconnected with their suprasystems and subsystems based on usability and man-machine interactions. In addition to the challenges pertaining to systems thinking, collabora­tive learning and designing based on a mentorship learning concept were introduced in the Vertical Design Studio, which involved second- and third-year students. Concerning the postgraduate fourth-year strategic design projects with the industry, the challenge was to involve Norwegian companies in product planning and goal finding as well as in innovation and design activities and to assess how supportive and receptive these companies were towards radical innovation/diversification. The analysis of completed projects shows that the Norwegian industry is supportive of strategic design but is rather conservative and risk averse when it concerns accepting and implementing radical innovation initiatives. Referring to user-centred and context-based innovation, this article also supports the implementation of a systems approach to facilitate social and hierarchical learning across the second-year systems design studio, second- and third-year vertical studios, and fourth-year strategic design studio.

Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.