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Scholarship
July 3, 2025
Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers
- Author
- Graf, Sabine, author, ed.; Lin, Fuhua, ed.; Kinshuk, ed.; and McGreal, Rory, ed.
- Publisher
- IGI Global, Hershey PA
- ISBN
- 9781609608422
- Table of Contents
-
Foreword
Preface
Acknowledgement
Writing Competence
ch. 1 Decision Models in the Design of Adaptive Educational Hypermedia Systems (Demetrios G Sampson, Pythagoras Karampiperis)
ch. 2 Automatic Personalization in E-Learning Based on Recommendation Systems: An Overview (Mohamed Koutheaïr Khribi, Mohamed Jemni, Olfa Nasraoui)
ch. 3 Engineering and Reengineering of Technology Enhanced Learning Scenarios Using Context Awareness Processes (Clara Inés Peña de Carrillo, Christophe Choquet, Christophe Després, Sébastien Iksal, Pierre Jacoboni, Aina Lekira, El Amine Ouraiba, Diem Pham Thi-Ngoc)
ch. 4 From Europe to China: Adapting Courseware Generation to a Different Educational Context Xiaohong Tan, Carsten Ullrich, Ruimin Shen
ch. 5 An Architecture for Learning Environments Based on the Lightweight Integration of Intelligent Agents (Sergey Butakov, Denis Smoline, Nousheen Naimat Samuel, Naima Naimat Samuel)
ch. 6 Intelligent Model-Based Feedback: Helping Learners to Monitor their Individual Learning Progress (Dirk Ifenthaler)
ch. 7 A Knowledge-Based Approach of Modeling an Internet-Based Intelligent Learning Environment for Comprehending Common Fraction Operations (Siu Cheung Kong)
ch. 8 From “Self-Tested” to “Self-Testing”: A Review of Self-Assessment Systems for Learning (Mingming Zhou)
ch. 9 A Tool for Adaptive E-Assessment of Project Management Competences (Constanta-Nicoleta Bodea, Maria-Iuliana Dascalu)
ch. 10 E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study (Christine Bescherer, Daniel Herding, Ulrich Kortenkamp, Wolfgang Müller, Marc Zimmermann)
ch. 11 Boosting Semantic Relations for Example Population in Concept Learning (pages 165-181) (Ming-Chi Liu, Kinshuk, Yueh-Min Huang, Dunwei Wen)
ch. 12 Improving User Profiling for a Richer Personalization: Modeling Context in E-Learning (Isabela Gasparini, Victoria Eyharabide, Silvia Schiaffino, Marcelo S. Pimenta, Analía Amandi, José Palazzo M. de Oliveira)
ch. 13 Tracing the Metacognitive Competencies of Online Learners (Vive Kumar)
ch. 14 A Multi-Actor Ontology-Based Assistance Model: A Contribution to the Adaptive Semantic Web (Gilbert Paquette, Olga Marino)
ch. 15 Context-aware Framework for Supporting Personalisation and Adaptation in Creation of Learning Designs (Patricia Charlton, George D. Magoulas)
ch. 16 Analyzing Critical Functions of Recording Tools for Synchronous Cyber Classroom Instruction (Chun-Wang Wei, I-Chun Hung, Kinshuk, Nian-Shing Chen)
ch. 17 Software Agent Systems for Supporting Student Team Project Working (Janice Whatley)
ch. 18 Embodied and Embedded Intelligence: Actor Agents on Virtual Stages (Bob Heller, Mike Procter)
ch. 19 Technology Enhanced Language Learning in Virtual Worlds (Tosti H.C. Chiang, Tom T.C. Tsai, Irene Y.S. Li, Indy Y.T. Hsiao, Stephen J.H. Yang)
ch. 20 Mobile Learning: An Economic Approach (Andreea Molnar, Cristina Hava Muntean)
ch. 21 Mobile Computing and Mixed-Initiative Support for Writing Competence (pages 327-341) (Vive Kumar, Maiga Chang, Tracey L. Leacock)
Compilation of References
About the Contributors
Index
sequence of learning objects that is adapted to an individual user’s goals, preferences, and... Sample PDF
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Chapter 5Technology enhanced learning takes place in many different forms and contexts, including formal and informal settings, individual and collaborative learning, learning in the classroom, at home, at work, and outdoor in real life situations, as well as desktop-based learning and learning by using mobile devices. Environments range from desktop-based learning systems such as learning management systems, which present learners with learning material and activities, to mobile, pervasive, and ubiquitous learning environments which are used in real life settings and enable learners to learn from real learning objects. In each of these forms and contexts, adaptive and intelligent support has potential to contribute in making such learning environments more personalized, user-friendly, and effective in supporting learners in learning.
Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers 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. This book provides academics as well as professional practitioners innovative research work for enhancing learning environments with adaptively and intelligent support in different contexts and settings, ranging from provision of courses and assessment in formal desktop-based learning systems to learning environments that support collaborative, informal, ubiquitous learning. (From the Publisher)
Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers 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. This book provides academics as well as professional practitioners innovative research work for enhancing learning environments with adaptively and intelligent support in different contexts and settings, ranging from provision of courses and assessment in formal desktop-based learning systems to learning environments that support collaborative, informal, ubiquitous learning. (From the Publisher)