Unfolding the cognitive process underlying computer-based scientific conceptual change with eye tracker: Behavioral performance and sequential analysis of attention

Abstract Despite the recognized link between scientific reasoning, mental sets, and conceptual change, the cognitive mechanisms underlying successful conceptual change remain unclear. To explore this, we developed computer-based reasoning programs with and without mental set support to examine their effects on conceptual change in tasks of varying difficulty. Additionally, we used an eye tracker to simultaneously capture students’ attention and its sequential patterns during the conceptual change process, aiming to uncover the cognitive processes involved. Students were randomly assigned to either a computer-based reasoning program with mental set support or one without. We found that students in the reasoning group with mental set outperformed those without it in achieving scientific conceptual change. Furthermore, both groups demonstrated higher conceptual change success, along with longer fixation durations and rereading times, in low-difficulty tasks compared to high-difficulty tasks. Students who successfully achieved conceptual change exhibited more fixation points within areas of interest (AOIs) and significantly greater bidirectional connections between them. In contrast, students who failed to revise their alternative conceptions allocated fewer fixation points to AOIs and displayed significantly more unidirectional connections between them. Generalized estimating equation analysis identified the number of fixations as the most critical predictor of both conceptual change success and task difficulty. These findings provide new insights into the interactions between eye movement and underlying cognitive processes, highlighting how visual attention contributes to achieving successful conceptual change.

Authors

Institutions

Publication Details

Journal
Education and Information Technologies
Published
2025-04-22
DOI
https://doi.org/10.1007/s10639-025-13577-7
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unfolding the cognitive process underlying computer-based scientific conceptual change with eye tracker: Behavioral performance and sequential analysis of attention

Hsiao‐Ching She, M.C. Chen, Chuen Hsueh, Li-Yu Huang
Education and Information Technologies
Visual and Cognitive Learning Processes
article

Unfolding the cognitive process underlying computer-based scientific conceptual change with eye tracker: Behavioral performance and sequential analysis of attention

Hsiao‐Ching She, M.C. Chen, Chuen Hsueh, Li-Yu Huang
article en

Abstract

Abstract Despite the recognized link between scientific reasoning, mental sets, and conceptual change, the cognitive mechanisms underlying successful conceptual change remain unclear. To explore this, we developed computer-based reasoning programs with and without mental set support to examine their effects on conceptual change in tasks of varying difficulty. Additionally, we used an eye tracker to simultaneously capture students’ attention and its sequential patterns during the conceptual change process, aiming to uncover the cognitive processes involved. Students were randomly assigned to either a computer-based reasoning program with mental set support or one without. We found that students in the reasoning group with mental set outperformed those without it in achieving scientific conceptual change. Furthermore, both groups demonstrated higher conceptual change success, along with longer fixation durations and rereading times, in low-difficulty tasks compared to high-difficulty tasks. Students who successfully achieved conceptual change exhibited more fixation points within areas of interest (AOIs) and significantly greater bidirectional connections between them. In contrast, students who failed to revise their alternative conceptions allocated fewer fixation points to AOIs and displayed significantly more unidirectional connections between them. Generalized estimating equation analysis identified the number of fixations as the most critical predictor of both conceptual change success and task difficulty. These findings provide new insights into the interactions between eye movement and underlying cognitive processes, highlighting how visual attention contributes to achieving successful conceptual change.

Education and Information TechnologiesVol. 30(14)
National Yang Ming Chiao Tung University (TW), National Changhua University of Education (TW)
Ministry of Science and Technology, Taiwan
Openalex Percentile: Top 92%
Visual and Cognitive Learning Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.