An Experimental Study of Learning Behaviour in an ELearning Environment

Date

2019-01-24

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IEEE

Type

Conference

Peer reviewed

Yes

Abstract

To reach an adaptive eLearning course, it is crucial to control and monitor the student behaviour dynamically to implicitly diagnose the student learning style. Eye tracing can serve that purpose by investigate the gaze data behaviour to the learning content. In this study, we conduct an eye tracking experiment to analyse the student pattern of behaviour to output his learning style as an aspect of personalisation in an eLearning course. We use the electroencephalography EEG Epoc that reflects users emotions to improve our result with more accurate data. Our objective is to test the hypothesis whether the verbal and visual learning Styles reflect actual preferences according to Felder and Silverman Learning Style Model in an eLearning environment. Another objective is to use the outcome presented in this experiment as the starting point for further exhaustive experiments. In this paper, we present the actual state of our experiment, conclusions, and plans for future development.

Description

Keywords

learning style, e-learning, personalised learning

Citation

Alhasan, K., Chen, L., Chen, F. (2018) An Experimental Study of Learning Behaviour in an ELearning Environment. In: Proc. of the 16th IEEE International Conference on Smart City (SmartCity-2018), Exeter, UK, June 2018.

Rights

Research Institute

Cyber Technology Institute (CTI)