Modelling Web-based Learning Ecosystems for Aggregation and Reuse
eBook - PDF

Modelling Web-based Learning Ecosystems for Aggregation and Reuse

,
  1. 292 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Modelling Web-based Learning Ecosystems for Aggregation and Reuse

,

About this book

In der E-Learning-DomĂ€ne bilden sowohl die Lernressourcen, Lehrende und Lernende als auch die stattfindenden Lernprozesse in ihrer Gesamtheit Lernökosysteme. Diese Dissertation untersucht die Modellierung von Lernökosystemen zur UnterstĂŒtzung ihrer Aggregation und Wiederverwendung. Zur Erreichung dieses Ziels mĂŒssen Modelle von Lernökosystemen die Aggregierbarkeit, Austauschbarkeit, InteroperabilitĂ€t und granulare Wiederverwendbarkeit ihrer Daten unterstĂŒtzen. Auf Basis durchgefĂŒhrter Nutzerstudien werden Konzepte digitaler Modelle von Lernökosystemen, sogenannte LOOCs (Linked Open Online Courses), entwickelt. Dabei werden insbesondere Technologien des Semantic Webs sowie Linked-Data-Konzepte betrachtet. Die entwickelten ontologischen Modelle bilden die Basis fĂŒr mehrere E-Learning-Applikationen, welche die TragfĂ€higkeit der Konzepte sowie eine hohe Nutzerakzeptanz zeigen. Ferner wird ein formales Interpretermodell fĂŒr CSCL (Computer-Supported Collaborative Learning) Scripts zur Beschreibung von Lernprozessen, welches mit Hilfe von Abstract State Machines spezifiziert wurde, vorgestellt.In the e-learning domain, the learning resources, teachers and learners and the active learning processes in their entirety construct the learning ecosystems. This thesis examines the modelling of learning ecosystems to support their aggregation and reuse. To achieve this goal, learning ecosystem models must support aggregation, compatibility, interoperability and granular re-usability of their data. Through user studies, digital model concepts of learning ecosystems, i.e. so-called LOOCs (linked open online courses), were developed. In particular, Semantic Web technologies and Linked Data concepts are considered within the context. The developed ontological models form the basis for a number of e-learning applications that show the viability of the concepts as well as a high user acceptance. Further, a formal interpreter model for CSCL (Computer-Supported Collaborative Learning) Scripts for the description of learning processes specified by using Abstract State Machines is presented.

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Information

Publisher
Cuvillier Verlag
Year
2015
Print ISBN
9783954049899
eBook ISBN
9783736949898
Edition
1

Table of contents

  1. Abstract
  2. Zusammenfassung
  3. Danksagung
  4. Contents
  5. Chapter 1 Introduction
  6. Chapter 2 Web-based Learning
  7. Part I. Modelling Resources and their Interrelationships
  8. Chapter 3 Modelling Resources in Linked Open Online Courses
  9. Chapter 4 Modelling Interrelationships and Annotations in Linked Open Online Courses
  10. Chapter 5 Implementing Linked Open Online Courses
  11. Chapter 6 Evaluating Linked Open Online Courses
  12. Part II. Modelling Processes in Learning Ecosystems
  13. Chapter 7 Modelling Collaboration and Interactions
  14. Chapter 8 A Subject-Oriented CSCL Script Modelling Approach
  15. Chapter 9 Summary and OutlookThe
  16. Appendix A Basic Interval Relation Rules
  17. Bibliography