Intelligent and Adaptive Educational Learning Systems

2012-08-10

This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research.

Author: Alejandro Peña-Ayala

Publisher: Springer Science & Business Media

ISBN: 9783642301711

Category: Technology & Engineering

Page: 524

View: 847

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The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.
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Intelligent and Adaptive Learning Systems

2011-05-31

"This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning ...

Author: Sabine Graf

Publisher: IGI Global

ISBN: 1609608429

Category: Computers

Page: 398

View: 829

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"This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.
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Anticipatory Behavior in Adaptive Learning Systems

2009-06-15

This conceptual and theoretical framework is quite general and aims to be a, quite preliminary, step towards a general theory of cognitive adaptation to the environment of natural intelligent systems and to provide a possible approach ...

Author: Giovanni Pezzulo

Publisher: Springer Science & Business Media

ISBN: 9783642025648

Category: Technology & Engineering

Page: 335

View: 212

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Anticipatory behavior in adaptive learning systems continues attracting attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with the six-monthly Meeting of euCognition 'The Role of Anticipation in Cognition'. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also revisits the current available terminology on anticipatory behavior and relates it to the available system approaches. The papers are organized in topical sections on anticipation in psychology with focus on the ideomotor view, conceptualizations, anticipation and dynamical systems, computational modeling of psychological processes in the individual and social domains, behavioral and cognitive capabilities based on anticipation, and computational frameworks and algorithms for anticipation, and their evaluation.
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Innovative Trends in Personalized Software Engineering and Information Systems

2020-08-04

This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of ...

Author: C. Troussas

Publisher: IOS Press

ISBN: 9781643680972

Category: Computers

Page: 104

View: 772

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This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning. The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented. This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.
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Intelligent and Adaptive Learning Systems

2012

"This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning ...

Author: Sabine Graf

Publisher:

ISBN: 1609608445

Category: Computer-assisted instruction

Page: 398

View: 295

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"This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.
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Intelligent Learning Systems and Advancements in Computer Aided Instruction Emerging Studies

2011-12-31

Adaptive Learning System is derived from Intelligent Tutoring Systems (ITSs) and contains: learning material, characteristic of learner, and teaching strategy to support the adaptive learning approach (Burns & Capps, 1988).

Author: Jin, Qun

Publisher: IGI Global

ISBN: 9781613504840

Category: Education

Page: 378

View: 941

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"This book reviews computational models and technologies for distance education, focusing on systems, infrastructures, and frameworks for delivering quality education"--Provided by publisher.
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Intelligent Interactive Multimedia Systems and Services

2011-06-19

In: Architecture Solutions for E-Learning Systems, pp. 243–261. Idea Group Inc, USA (2007) Karampiperis, P., Sampson, D.G.: Adaptive Learning Object Selection in Intelligent Learning Systems. Journal of Interactive Learning Research, ...

Author: George A. Tsihrintzis

Publisher: Springer Science & Business Media

ISBN: 9783642221583

Category: Technology & Engineering

Page: 362

View: 538

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This volume contains the Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS-2011). IIMSS-2011 comes as a sequel to IIMSS-2008 (Piraeus-Athens, Greece, July 9, 10 and 11, 2008), IIMSS-2009 (Mogliano Veneto (near Venice), Italy, July 15, 16 and 17, 2009) and IIMSS-2010 (Baltimore, USA, July 28, 29, and 30, 2010). This fourth edition of the IIMSS Conference was organized jointly by the Department of Informatics of the University of Piraeus, Greece and the School of Electrical and Information Engineering of the University of South Australia, in conjunction with KES International. At a time when computers are more widespread than ever and computer users range from highly qualified scientists to non-computer-expert professionals and may include people with special needs, interactivity, personalization and adaptivity have become a necessity in modern multimedia systems. Modern intelligent multimedia systems need to be interactive not only through classical modes of interaction where the user inputs information through a keyboard or mouse. They must also support other modes of interaction, such as visual or lingual computer-user interfaces, which render them more attractive, user friendlier, more human-like and more informative. IIMSS is a new series of international scientific conferences aimed at presenting novel research in the fields of intelligent multimedia systems relevant to the development of a new generation of interactive, user-centric services.
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Anticipatory Behavior in Adaptive Learning Systems

2004-01-21

Butz, M.V., Sigaud, O. and Gerard, P.; Internal Models and Anticipations in Adaptive Learning Systems, Adaptive Behavior in ... Maes, P. Behavior-based Artificial Intelligence, 2" Int. Conf. on Simulation of Adaptive Behavior (SAB-2), ...

Author: Martin V. Butz

Publisher: Springer

ISBN: 9783540450023

Category: Computers

Page: 305

View: 902

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The interdisciplinary topic of anticipation, attracting attention fromnbsp;computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work. First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.
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Smart Education and Smart e Learning

2015-06-09

Intelligent system enables to carry out laboratory and practical works in real time by the LJU compute clusters for PWIV. ... In: Intelligent and Adaptive Educational-Learning Systems: Achievements and Trends, pp. 1230–1238.

Author: Vladimir L. Uskov

Publisher: Springer

ISBN: 9783319198750

Category: Technology & Engineering

Page: 514

View: 334

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This book contains the contributions presented at the 2nd international KES conference on Smart Education and Smart e-Learning, which took place in Sorrento, Italy, June 17-19, 2015. It contains a total of 45 peer-reviewed book chapters that are grouped into several parts: Part 1 - Smart Education, Part 2 – Smart Educational Technology, Part 3 – Smart e-Learning, Part 4 – Smart Professional Training and Teachers’ Education, and Part 5 – Smart Teaching and Training related Topics. This book can be a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators, and practitioners - those who are interested in innovative areas of smart education and smart e-learning.
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Machine Learning Approaches for Improvising Modern Learning Systems

2021-05-14

Different types of AI applications in education are intelligent adaptive learning, human-machine interaction, dual teacher classroom, ... They integrate multiple technologies into the adaptive education system focusing on assessment, ...

Author: Gulzar, Zameer

Publisher: IGI Global

ISBN: 9781799850106

Category: Education

Page: 336

View: 416

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Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.
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