IJIET 2020 Vol.10(5): 351-355 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.5.1388

A Context Model for Intelligible Explanations in Adaptive Personalized Learning Environments

Mandy Goram and Dirk Veiel

Abstract—Supporting user friendly intelligible and comprehensive explanations in context-based, adaptive systems is a big challenge. They are important for a personalized system to support user acceptance and user trust. In cases, where privacy laws like the General Data Protection Regulation (GDPR) are affected, it’s even more challenging. GDPR e. g. demands explanations of data usages, i. e. explanations where and for what purpose personal data is being processed. Currently, users cannot retrace the usage and the storage of their personal data in context-based adaptive collaboration environments. We address the aforementioned problem by developing a context-based adaptive platform linked to an adaptive personalized learning environment (APLE) to support learners with intelligible, comprehensible explanations of system processes.

Index Terms—Comprehensibility, context-based adaptive systems, context modelling, GDPR, intelligibility, ontology, personal explanations, privacy law.

The authors are with the FernUniversität in Hagen, Faculty of Mathematics and Computer Science, 58084 Hagen, Germany (e-mail: mandy.goram@fernuni-hagen.de, dirk.veiel@fernuni-hagen.de).


Cite: Mandy Goram and Dirk Veiel, "A Context Model for Intelligible Explanations in Adaptive Personalized Learning Environments," International Journal of Information and Education Technology vol. 10, no. 5, pp. 351-355, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net