An Experimental Study of Learning Behaviour in an ELearning Environment

Khawla Alhasan, Liming Chen, Feng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

To achieve an adaptive eLearning system, it is essential to monitor the learner behaviour dynamically to diagnose their learning style. Eye tracking can serve that purpose by investigating the eye gaze movement while engaging in the eLearning environment. In this study, an eye tracking experiment was developed to analyse the pattern of learner behaviour to obtain his learning style as a personalisation aspect in an eLearning system. The electroencephalography EEG Emotive Epoc device was used to disclose learners with more accurate data. In the experiment, we have developed a method to test the hypothesis whether the verbal and visual learning styles reflect actual preferences in an eLearning environment based on Felder and Silverman Learning Style Model. The outcome of this experiment can be used as the starting point for further exhaustive experiments. This paper presents the actual state of our experiment, conclusions, and plans for future development.
Original languageEnglish
Title of host publicationAn Experimental Study of Learning Behaviour in an ELearning Environment
Place of PublicationExeter, United Kingdom
PublisherIEEE Xplore
Pages1398-1403
Number of pages5
ISBN (Electronic)ISBN: 978-1-5386-6614-2
ISBN (Print)978-1-5386-6615-9
DOIs
Publication statusPublished - 30 Jun 2018
Event2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) - England, Exeter, United Kingdom
Duration: 28 Jun 201830 Jun 2018
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8605812

Conference

Conference2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
CountryUnited Kingdom
CityExeter
Period28/06/1830/06/18
Internet address

Keywords

  • Electronic learning
  • Visualization
  • Brian Modeling
  • Electroencephalography
  • Gaze tracking
  • Monitoring
  • Tracking
  • Eye tracking
  • eLearning
  • learning style
  • EEG

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