Computer-Driven Instructional Design with INTUITEL

Kevin Fuchs, Peter A. Henning

• Publisher: River Publishers
• Year: 2022
• Print ISBN: 9788793519510
• eBook ISBN: 9781000797398
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

INTUITEL is a research project that was co-financed by the European Commission with the aim to advance state-of-the-art e-learning systems via addition of guidance and feedback for learners. Through a combination of pedagogical knowledge, measured learning progress and a broad range of environmental and background data, INTUITEL systems will provide guidance towards an optimal learning pathway. This allows INTUITEL-enabled learning management systems to offer learners automated, personalised learning support so far only provided by human tutors INTUITEL is - in the first place - a design pattern for the creation of adaptive e-learning systems. It focuses on the reusability of existing learning material and especially the annotation with semantic meta data. INTUITEL introduces a novel approach that describes learning material as well as didactic and pedagogical meta knowledge by the use of ontologies. Learning recommendations are inferred from these ontologies during runtime. This way INTUITEL solves a common problem in the field of adaptive systems: it is not restricted to a certain field. Any content from any domain can be annotated. The INTUITEL research team also developed a prototype system. Both the theoretical foundations and how to implement your own INTUITEL system are discussed in this book.

Table of contents

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• List of Contributors
• List of Figures
• List of Tables
• List of Abbreviations
• 1 Introduction
• 2 Intelligent Tutoring Systems: Preliminary Thoughts
• 3 The INTUITEL Approach: Foundations and Design
• 4 Prototype Implementation
• 5 Conclusion and Outlook
• Index
• About the Editors