Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning
Language English Country England, Great Britain Media electronic
Document type Journal Article, Dataset
Grant support
MUNI/A/1673/2024
Masarykova Univerzita (Masaryk University)
PubMed
40490522
PubMed Central
PMC12149291
DOI
10.1038/s41597-025-05304-1
PII: 10.1038/s41597-025-05304-1
Knihovny.cz E-resources
- MeSH
- Cognition MeSH
- Humans MeSH
- Young Adult MeSH
- Eye Movements * MeSH
- Self-Control * MeSH
- Eye-Tracking Technology * MeSH
- Learning * MeSH
- Check Tag
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Dataset MeSH
The cognitive processing of learning materials has been extensively studied within various cognitive theories. Self-regulated learning (SRL) is also recognized as a key factor in learning efficiency. However, evidence linking SRL to learning outcomes remains inconclusive, particularly regarding objective behavioral data during learning. This study presents an original empirical dataset on eye-tracking activity during learning, examining the effects of metacognitive prompts and multimedia content on cognitive processing and learning outcomes. A controlled laboratory experiment with a 2 × 2 mixed factorial design involved 110 university students, resulting in 84 complete recordings of eye-movement activity during learning. Participants studied scientific materials in text-only and multimedia formats, with one group receiving metacognitive prompts and the control group receiving general instructions. Learning performance was assessed via a post-test, and eye-tracking technology captured gaze patterns to provide insights into cognitive engagement and attention distribution. Applications extend to e-learning, virtual environments, and user interface design. While the dataset has some methodological limitations, it remains a robust resource for studying cognitive processes and optimizing educational technologies.
Department of Educational Sciences Faculty of Arts Masaryk University Brno Czech Republic
Department of Psychology Faculty of Arts Masaryk University Brno Czech Republic
HUME Lab Experimental Humanities Laboratory Faculty of Arts Masaryk University Brno Czech Republic
See more in PubMed
Mayer, R. E. Cognitive Theory of Multimedia Learning. in
Paivio, A.
Baddeley, A. D. & Logie, R. H. Working Memory: The Multiple-Component Model. in
Sweller, J. Cognitive load theory, learning difficulty, and instructional design.
Panadero, E. A Review of Self-regulated Learning: Six Models and Four Directions for Research. PubMed PMC
Zimmerman, B. J. & Schunk, D. H. Self-Regulated Learning and Performance: An Introduction and an Overview. in
Boekaerts, M., Zeidner, M. & Pintrich, P. R.
McInerney, D. M., Cheng, R. W., Mok, M. M. C. & Lam, A. K. H. Academic Self-Concept and Learning Strategies: Direction of Effect on Student Academic Achievement.
Sitzmann, T. & Ely, K. A meta-analysis of self-regulated learning in work-related training and educational attainment: What we know and where we need to go. PubMed
Azevedo, R., Cromley, J. G., Moos, D. C., Greene, J. A. & Winters, F. I. Adaptive Content and Process Scaffolding: A key to facilitating students’ self-regulated learning with hypermedia.
Devolder, A., Van Braak, J. & Tondeur, J. Supporting self‐regulated learning in computer‐based learning environments: a systematic review of effects of scaffolding in the domain of science education.
Guo, L. Using metacognitive prompts to enhance self‐regulated learning and learning outcomes: A meta‐analysis of experimental studies in computer‐based learning environments.
Hoch, E., Fleig, K. & Scheiter, K. Can Monitoring Prompts Help to Reduce a Confidence Bias When Learning With Multimedia?
Manlove, S., Lazonder, A. W. & Jong, T. D. Trends and issues of regulative support use during inquiry learning: Patterns from three studies.
Sweller, J., Ayres, P. & Kalyuga, S. Intrinsic and Extraneous Cognitive Load. in
Bannert, M. Promoting Self-Regulated Learning Through Prompts.
Berthold, K., Nückles, M. & Renkl, A. Do learning protocols support learning strategies and outcomes? The role of cognitive and metacognitive prompts.
Lehmann, T., Hähnlein, I. & Ifenthaler, D. Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning.
Moser, S., Zumbach, J. & Deibl, I. The effect of metacognitive training and prompting on learning success in simulation‐based physics learning.
Duchowski, A. T.
Catrysse, L. PubMed
Juhaňák, L., Juřík, V., Dostálová, N. & Juříková, Z. Exploring the effects of metacognitive prompts on learning outcomes: An experimental study in higher education.
Pintrich, P. R. & De Groot, E. V. Motivated Strategies for Learning Questionnaire.
Juřík, V., Juhaňák, L., Ružičková, A., Dostálová, N. & Juříková, Z. Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning. figshare 10.6084/m9.figshare.28304069 (2025). PubMed PMC
Hessels, R. S. & Hooge, I. T. C. Eye tracking in developmental cognitive neuroscience – The good, the bad and the ugly. PubMed PMC
Juříková, Z. Eye of the teacher: Using eye tracking to explore professional vision of teachers and teacher gaze. (Masaryk University, Faculty of Arts, Department of Educational Sciences, 2022).
Dostálová, N., Juhaňák, L., Juříková, Z. & Juřík, V. Gaze transitions as a mediator of the effect of metacognitive prompts on student learning: An eye-tracking experiment (unpublished manuscript).
