A Systematic Review of Eye Tracking in Computational Thinking Skills of Children

• In Event: STEM Education Research Through the Lens of Systematic Review

Abstract

Computational thinking and eye tracking have been an increasingly popular method in psychology and education. The aim of this study is to provide a comprehensive overview of the application of eye tracking in children’s computational thinking research. Of the 804 studies initially identified, eleven were included in the final review and reported here. For each article, we analyzed the publication information, the purpose of the study, how to gather, analyze and interpret eye tracking data related to computational thinking. The results show that most studies used Area of Interest (AOI) and fixations to make inferences regarding computational thinking. It is suggested that eye movement usually acts as a significant indicator in comparing the underlying differences between interventions or participant groups.

Authors

• Man Niu, University of British Columbia

• Guanyu Chen, The University of British Columbia

• Andy Ma, The University of British Columbia

• Yue Guo, The University of British Columbia

• Yan Liu, Carleton University