http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Evolution of Teaching and Learning Paradigms in Intelligent Environment
This book on the evolution of teaching and learning paradigms in intelligent environment presents the latest ideas pertaining to educational pedagogy. The following contents are included. Introduction to the Evolution of Teaching and Learning Paradigms Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE Problem Based Learning in an E-learning environment – A Case Study at Griffith University School of Medicine Education Ontologies Construction for Personalised Learning on the Web Sequencing in Web-based Education From Dungeons to Classrooms The Development of an Approach to Learning within the Middle Schooling Paradigm Data Mining in E-Learning Data Mining of Virtual Campus Data Authoring and Management Tools For Adaptive Educational Hypermedia Systems Technology and Pedagogy – How to Learn Technique This book is directed to teaching professionals of all disciplines.
to the Evolution of Teaching and Learning Paradigms -- Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE -- Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicine -- Educational Ontologies Construction for Personalized Learning on the Web -- Sequencing in Web-Based Education: Approaches, Standards and Future Trends -- From Dungeons to Classrooms: The Evolution of MUDs as Learning Environments -- The Development of an Approach to Learning Within the Middle Schooling Paradigm -- Applying Data Mining Techniques to e-Learning Problems -- Data Mining of Virtual Campus Data -- Technology and Pedagogy – How to Learn Technique -- Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study.
edited by Lakhmi C. Jain, Raymond A. Tedman, Debra K. Tedman.
Appl.Mathematics/Computational Methods of Engineering
Artificial Intelligence (incl. Robotics)
Studies in Computational Intelligence, 62