Experimental Dataset on Eye-tracking Activity During
Self-Regulated Learning

J 2025

Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning

JUŘÍK, Vojtěch; Libor JUHAŇÁK; Alexandra RUŽIČKOVÁ; Nicol DOSTÁLOVÁ; Zuzana JUŘÍKOVÁ et al.

Základní údaje

Originální název

Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning

Autoři

JUŘÍK, Vojtěch; Libor JUHAŇÁK; Alexandra RUŽIČKOVÁ ; Nicol DOSTÁLOVÁ a Zuzana JUŘÍKOVÁ

Vydání

Scientific Data, London, Springer Nature, 2025, 2052-4463

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50103 Cognitive sciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 6.900 v roce 2024

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14210/25:00144342

Organizační jednotka

Filozofická fakulta

Klíčová slova anglicky

Eye-tracking; meta-cognitive learning; learning prompts; self-regulated-learning

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2026 14:28, Mgr. Petra Trembecká, Ph.D.

Anotace

V originále

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.

Návaznosti

GA21-08218S, projekt VaV

Název: Využití multimodální analytiky učení pro studium procesů seberegulovaného učení v systémech pro řízení výuky

Investor: Grantová agentura ČR, Využití multimodální analytiky učení pro studium procesů seberegulovaného učení v systémech pro řízení výuky

Citovat

JUŘÍK, Vojtěch; Libor JUHAŇÁK; Alexandra RUŽIČKOVÁ; Nicol DOSTÁLOVÁ a Zuzana JUŘÍKOVÁ. Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning. Scientific Data. London: Springer Nature, 2025, roč. 12, č. 1, s. 1-9. ISSN 2052-4463. Dostupné z: https://doi.org/10.1038/s41597-025-05304-1.

@article{2502898,
   author = {Juřík, Vojtěch and Juhaňák, Libor and Ružičková, Alexandra and Dostálová, Nicol and Juříková, Zuzana},
   article_location = {London},
   article_number = {1},
   doi = {https://doi.org/10.1038/s41597-025-05304-1},
   keywords = {Eye-tracking; meta-cognitive learning; learning prompts; self-regulated-learning},
   language = {eng},
   issn = {2052-4463},
   journal = {Scientific Data},
   title = {Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning},
   url = {https://www.nature.com/articles/s41597-025-05304-1#citeas},
   volume = {12},
   year = {2025}
}

TY  - JOUR
ID  - 2502898
AU  - Juřík, Vojtěch - Juhaňák, Libor - Ružičková, Alexandra - Dostálová, Nicol - Juříková, Zuzana
PY  - 2025
TI  - Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning
JF  - Scientific Data
VL  - 12
IS  - 1
SP  - 1-9
EP  - 1-9
PB  - Springer Nature
SN  - 20524463
KW  - Eye-tracking
KW  - meta-cognitive learning
KW  - learning prompts
KW  - self-regulated-learning
UR  - https://www.nature.com/articles/s41597-025-05304-1#citeas
N2  - 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.
ER  -

JUŘÍK, Vojtěch; Libor JUHAŇÁK; Alexandra RUŽIČKOVÁ; Nicol DOSTÁLOVÁ a Zuzana JUŘÍKOVÁ. Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning. \textit{Scientific Data}. London: Springer Nature, 2025, roč.~12, č.~1, s.~1-9. ISSN~2052-4463. Dostupné z: https://doi.org/10.1038/s41597-025-05304-1.

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