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Title:

Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models

Document type:
Zeitschriftenaufsatz
Author(s):
Gao, Hong ; Hasenbein, Lisa ; Bozkir, Efe ; Göllner, Richard ; Kasneci, Enkelejda
Keywords:
Article ; Gender classification ; Machine learning ; Explainable AI ; Computational thinking ; Eye movements ; Virtual reality
Journal title:
International Journal of Artificial Intelligence in Education
Year:
2022
Journal volume:
33
Journal issue:
4
Pages contribution:
929-954
Fulltext / DOI:
doi:10.1007/s40593-022-00316-z
Publisher:
Springer New York
E-ISSN:
1560-4292 ; 1560-4306
Date of publication:
04.11.2022
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