ERIC Number: EJ1462210
Record Type: Journal
Publication Date: 2025-Mar
Pages: 27
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0013-1954
EISSN: EISSN-1573-0816
Available Date: 2023-08-02
Clustering Eye-Movement Data Uncovers Students' Strategies for Coordinating Equations and Diagrams of Vector Fields: Strategies for Coordinating Vector Field Equations and Diagrams
Educational Studies in Mathematics, v118 n3 p359-385 2025
In mathematics education, students are repeatedly confronted with the tasks of interpreting and relating different representations. In particular, switching between equations and diagrams plays a major role in learning mathematical procedures and solving mathematical problems. In this article, we investigate a rather unexplored topic with precisely such requirements--that is, vector fields. In our study, we first presented a series of multiple-choice tasks to 147 introductory university students at the beginning of their studies and recorded students' eye movements while they matched vector field diagrams and equations. Thereafter, students had to solve a similar coordination task on paper and justify their reasoning. Two cluster analyses were performed including (i) transition and fixation data on diagrams and options (Model 1), and (ii) additionally the number of horizontal and vertical saccades on the diagram (Model 2). In both models, two clusters emerge--with Model 1 distinguishing behaviors related to representational mapping and Model 2 additionally differentiating students according to representation-specific demands. Model 2 leads to a better distinction between the groups in terms of different performance indicators (test score, response confidence, and spatial ability) which also transfers to another task format. We conclude that vertical and horizontal saccades reflect executive actions of perception when approaching vector field coordination tasks. Thus, we recommend targeted interventions for mathematics lessons; these lessons must focus on a visual handling of the vector field diagram. Further, we infer that students' difficulties can be attributed to covariational reasoning, thereby indicating the need for further investigations. From a methodological perspective, we reflect on the triangulation of eye-tracking and verbal data in (multiple-choice) assessment scenarios.
Descriptors: Undergraduate Students, Mathematics Instruction, Equations (Mathematics), Mathematics Skills, Geometric Concepts, Eye Movements, Algebra, Visual Aids, Mathematics Achievement, Mathematical Concepts, Symbols (Mathematics), Spatial Ability, Learning Strategies
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Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Faculty of Physics, Physics Education Research, Georg-August-University Göttingen, Göttingen, Germany