Static and dynamic eye movement metrics for students’ performance assessment

  • Ben Khedher A
  • Jraidi I
  • Frasson C
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Abstract

This paper reports on the feasibility of using eye tracking as a tool for students’ performance assessment in a medical serious game. We are particularly interested in analyzing the relationship between learners’ visual behaviour and their performance while solving medical cases. The objective of this study is twofold. First, we analyze how the students visually explore the learning environment across different areas of interest. Second, we examine whether static and dynamic eye tracking metrics can have an impact on students’ reasoning performance. Results revealed statistically significant associations between eye movement metrics and students’ outcomes. Particularly dynamic metrics better reflected students’ analytical reasoning abilities. Our findings have implications for the educational technology community seeking to gain a deeper understanding of the students’ learning experience.

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Ben Khedher, A., Jraidi, I., & Frasson, C. (2018). Static and dynamic eye movement metrics for students’ performance assessment. Smart Learning Environments, 5(1). https://doi.org/10.1186/s40561-018-0065-y

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