NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1430421
Record Type: Journal
Publication Date: 2024-Jun
Pages: 36
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Using Eye-Tracking in Education: Review of Empirical Research and Technology
Fengfeng Ke; Ruohan Liu; Zlatko Sokolikj; Ibrahim Dahlstrom-Hakki; Maya Israel
Educational Technology Research and Development, v72 n3 p1383-1418 2024
This study aims to provide a systematic review of recent eye-tracking studies conducted with children and adolescents in learning settings, as well as a scoping review of the technologies and machine learning approaches used for eye-tracking. To this end, 68 empirical studies containing 78 experiments were analyzed. Eye-tracking devices as well as the ever-evolving mechanisms of gaze prediction endorsed in the prior and current research were identified. The review results indicated a set of salient patterns governing the employment of eye-tracking measures and the inferred cognitive constructs in learning, along with the common practices in analyzing and presenting the eye-tracking data. Eye-tracking has been used to track engagement, learning interactions, and learning-relevant cognitive activities mainly in a research lab or a highly-controlled learning setting. The mechanisms of gaze capturing and prediction with learners in a dynamic and authentic learning environment are evolving.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Department of Education (ED)
Authoring Institution: N/A
Grant or Contract Numbers: U411C190179