Gaze-Based Assessment of Dyslexic Students' Motivation within an E-Learning Environment

Ruijie Wang, Liming Chen, Aladdin Ayesh, Jethro Shell, Ivar Solheim

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

1 Citation (Scopus)

Abstract

This paper proposes a gaze-based motivation analysis approach for evaluation of motivational strategies and assessment of motivational factors for students with dyslexia in an e-learning environment. We first collect real-time eye movement data from dyslexic learners during their e-learning practices. We then use statistic tests to evaluate four typical motivational strategies with the eye-tracking data and use logistic regressions for the assessment of motivation. Initial results show that eye-tracking data is effective at evaluating the effects of the studied motivational strategies, and adding eye-tracking features significantly improves the model accuracy which has reached to a correct prediction rate of between 72.0% and 81.3%.
Original languageEnglish
Title of host publication2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Place of PublicationLeicester, UK
PublisherIEEE Xplore
Pages610-617
Number of pages7
ISBN (Electronic)978-1-7281-4034-6
ISBN (Print)978-1-7281-4035-3
DOIs
Publication statusPublished - 19 Aug 2019
Event2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation(SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Leicester, United Kingdom
Duration: 19 Aug 201923 Aug 2019

Conference

Conference2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation(SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Period19/08/1923/08/19

Keywords

  • Electronic learning
  • eye
  • gaze tracking
  • handicapped aids
  • human factors
  • medical discorders
  • regression analysis
  • statistical testing

Fingerprint Dive into the research topics of 'Gaze-Based Assessment of Dyslexic Students' Motivation within an E-Learning Environment'. Together they form a unique fingerprint.

  • Cite this

    Wang, R., Chen, L., Ayesh, A., Shell, J., & Solheim, I. (2019). Gaze-Based Assessment of Dyslexic Students' Motivation within an E-Learning Environment. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 610-617). IEEE Xplore. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00142