Cover image for Evolution of teaching and learning paradigms in intelligent environment
Title:
Evolution of teaching and learning paradigms in intelligent environment
Series:
Studies in computational intelligence ; 62
Publication Information:
Berlin : Springer, 2007
ISBN:
9783540719731

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30000010159370 LB2395.7 E96 2007 Open Access Book Book
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Summary

Summary

Teaching and learning paradigms have attracted increased attention in the last few years. Improved access to high speed Internet services and the massive increase in popularity of the Internet have paved the way for alternative but effective approaches in teaching and learning. This book on the evolution of teaching and learning paradigms in intelligent environment presents the latest ideas pertaining to educational pedagogy. The authors have recognised the role of constructivist thinking in teaching and learning plus the importance of providing a wide range of mental resources to encourage cognitive growth in students. Electronic learning or e-learning is rapidly transforming the teaching and learning environments of tertiary education facilities, further moulding the educational pedagogy to match the virtual digital modes of commu- cation favoured by teenagers during their secondary education. Teachers need to recognise that while technology should empower the learning process it is important not to neglect educational issues during the systematic analysis and design of the technologies for specific learning purposes. Recent advances in e-learning have emphasised the importance of personalised learning ontology or customising of learning material and activities to provide a personal environment for each learning activity. This means adapting the learning content, its sequencing and maybe some aspects of the learning process so that it can be adapted to different users with different capabilities. This push for personalised learning has also focused upon the need for refining data mining methods to classify e-learning problems e. g.


Table of Contents

Raymond A. Tedman and Debra K. TedmanMiguel Baptista Nunes and Maggie McPhersonRaymond A. Tedman and Heather Alexander and Robert LoudonApple Wai Ping Fok and Horace Ho Shing IpSergio Gutierrez and Belardo PardoBrian M. Slator and Otto Borchert and Lisa Brandt and Harold Chaput and Kellie Erickson and Gabriel Groesbeck and Jacob Halvorson and Justin Hawley and Guy Hokanson and Dan Reetz and Brad VenderDebra TedmanFelix Castro and Alfredo Vellido and Angela Nebotc and Francisco MugicaAlfredo Vellido and Felix Castro and Terence A. Etchells and Angela Nebot and Francisco MugicaRiitta Penttinen and Sari MinkkinenPaul De Bra and Natalia Stash and David Smits and Cristobal Romero and Sebastian Ventura
1 Introduction to the Evolution of Teaching and Learning Paradigmsp. 1
2 Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HEp. 7
3 Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicinep. 31
4 Educational Ontologies Construction for Personalized Learning on the Webp. 47
5 Sequencing in Web-Based Education: Approaches, Standards and Future Trendsp. 83
6 From Dungeons to Classrooms: The Evolution of MUDs as Learning Environmentsp. 119
7 The Development of an Approach to Learning Within the Middle Schooling Paradigmp. 161
8 Applying Data Mining Techniques to e-Learning Problemsp. 183
9 Data Mining of Virtual Campus Datap. 223
10 Technology and Pedagogy - How to Learn Techniquep. 255
11 Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Studyp. 285