Authors:
Madeth May
1
;
Sébastien Iksal
1
and
Claus Alexander Usener
2
Affiliations:
1
LUNAM University of Maine, France
;
2
University of Münster, Germany
Keyword(s):
Privacy Issues in E-Learning, Privacy Threat, Tracking System, Tracking Data, Data Analysis.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Distance and e-Learning in a Global Context
;
e-Learning
;
Information Technologies Supporting Learning
;
Learning Analytics
;
Learning/Teaching Methodologies and Assessment
;
Mentoring and Tutoring
;
Social Context and Learning Environments
Abstract:
Research works from the past ten years have demonstrated that technologies could in many ways enhance
learning experience. Meanwhile, technologies can also create obstacles to the latter. For instance, using
tracking approaches on the majority of e-learning platforms to monitor learners’ activities raises many
privacy questions. As for learners, knowing that their personal data are being used, even for educational
purposes, they could radically change their perception on e-learning technologies. This paper presents a
study on privacy issues in e-learning, based on both existing research findings and an experiment that we
have conducted with the participation of students from three universities in France and one university in
Germany. The study covers two main aspects. First, it outlines various tracking approaches in e-learning.
Second, it analyzes how the participants perceive the use of their tracking data and the related privacy
issues. The major contribution of this paper is the
awarenes
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