Skip to main content

Research Repository

Advanced Search

eLEM: A novel e-Learner Experience Model

Hammad, Rawad; Odeh, Mohammed; khan, zaheer


Rawad Hammad

Profile Image

Mohammed Odeh
Associate Professor in Software Engineering

Zaheer Khan
Professor in Computer Science


Many e-learning artefacts have been developed and promoted based on their ability to enhance learning and e-learner experience. However, there is a lack of precise definition of what the e-learner experience implies and associated models to inform this experience. This paper introduces a novel e-Learner Experience Model (eLEM) along with its roots in: (i) e-learning domain research, and (ii) user experience/usability. It also proposes a definition for the e-learner experience model based on the particularities of e-learning. eLEM has been derived based on a state of the art literature review and consists of a number of constructs along with measures of their effectiveness in evaluating the e-learner experience in an e-learning environment. eLEM has been comprehensively evaluated using a set of sufficient and representative case studies. It has also demonstrated modelling the e-learner’s experience in various contexts and identified four key challenges for further research. Finally, the eLEM has been integrated with the HeLPS e-learning framework and contributed to validating its process-centric models.


Hammad, R., Odeh, M., & khan, Z. (2017). eLEM: A novel e-Learner Experience Model

Journal Article Type Article
Acceptance Date May 10, 2017
Publication Date Aug 1, 2017
Journal International Arab Journal of Information Technology
Print ISSN 1683-3198
Peer Reviewed Peer Reviewed
Volume 14
Issue 4A
Pages 586-597
Keywords e-learner experience, e-learning evaluation, learner modelling, user experience, usability, Technology-Enhanced Learning/e-learning
Publisher URL


You might also like

Downloadable Citations