2017/04/10 by Jing Han, Li Chen, Zhao Fu +3
Medicine · Neuroscience · Psychology · Social Sciences · #Artificial intelligence #Computer graphics (images) #Computer science #Computer vision #Educational Strategies and Epistemologies #Eye tracking #Human–computer interaction #Medicine #Neuroscience #Optics #Optometry #Physics #Psychology #Science Education and Pedagogy #Tracking (education) #Visual and Cognitive Learning Processes #Visual attention
paper · pdf · doi:10.1088/1361-6404/aa6c49
openalex publication_date 2017/04/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Abstract This study used eye-tracking technology to investigate students’ visual attention while taking the Force Concept Inventory (FCI) in a web-based interface. Eighty nine university students were randomly selected into a pre-test group and a post-test group. Students took the 30-question FCI on a computer equipped with an eye-tracker. There were seven weeks of instruction between the pre- and post-test data collection. Students’ performance on the FCI improved significantly from pre-test to post-test. Meanwhile, the eye-tracking results reveal that the time students spent on taking the FCI test was not affected by student performance and did not change from pre-test to post-test. Analysis of students’ attention to answer choices shows that on the pre-test students primarily focused on the naïve choices and ignored the expert choices. On the post-test, although students had shifted their primary attention to the expert choices, they still kept a high level of attention to the naïve choices, indicating significant conceptual mixing and competition during problem solving. Outcomes of this study provide new insights on students’ conceptual development in learning physics.