Abstract
AbstractIn 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.
Funder
Niedersächsisches Ministerium für Wissenschaft und Kultur
Open Access Publication Funds of the Göttingen University
Publisher
Springer Science and Business Media LLC
Subject
Education,General Mathematics
Reference105 articles.
1. Acevedo Nistal, A., Van Dooren, W., Clarebout, G., Elen, J., & Verschaffel, L. (2009). Conceptualising, investigating and stimulating representational flexibility in mathematical problem solving and learning: a critical review. ZDM - Mathematics Education, 41(5), 627–636. https://doi.org/10.1007/s11858-009-0189-1
2. Acevedo Nistal, A., Van Dooren, W., & Verschaffel, L. (2013). Students’ reported justifications for their representational choices in linear function problems: An interview study. Educational Studies, 39(1), 104–117. https://doi.org/10.1080/03055698.2012.674636
3. Ainsworth, S. (1999). The functions of multiple representations. Computers & Education, 33(2), 131–152. https://doi.org/10.1016/S0360-1315(99)00029-9
4. Alemdag, E., & Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413–428. https://doi.org/10.1016/j.compedu.2018.06.023
5. Alhadreti, O., Elbabour, F., & Mayhew, P. (2017). Eye tracking in retrospective think-aloud usability testing: Is there added value? Journal of Usability Studies, 12(3), 95–110. Retrieved from https://ueaeprints.uea.ac.uk/id/eprint/64991/1/Accepted_manuscript.pdf
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