2026-06-21T21:59:21Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/77552023-07-13T00:05:25Zcom_10259_4219com_10259_5086com_10259_2604com_10259_5841col_10259_4220col_10259_5842
Repositorio Institucional de la Universidad de Burgos
author
Sáiz Manzanares, María Consuelo
author
Marticorena Sánchez, Raúl
author
Martín Antón, Luis Jorge
author
González Díez, Irene
author
Carbonero Martín, Miguel Ángel
2023-07-12T10:17:37Z
2023-07-12T10:17:37Z
2023
1044-7318
http://hdl.handle.net/10259/7755
10.1080/10447318.2023.2188532
1532-7590
Monitoring through the use of eye-tracking technology helps in understanding the cognitive load learners experience when doing tasks. This data gives the teacher and the student important information for improving learning outcomes. This study examined whether students’ participation in a learning virtual laboratory, with a self-regulated video monitored with eye-tracking, would influence their learning outcomes. It also examined whether students’ prior knowledge affected their learning outcomes. Lastly, the study identified clusters related to cognitive load in relevant Areas of Interest vs. non-relevant Areas of Interest. The sample comprised 42 university students of health sciences. The results indicate that participation in the virtual laboratory was related to better learning outcomes. In addition, prior knowledge did not affect cognitive load. A number of different clusters were found related to indicators of cognitive load in relevant and non-relevant AOIs. More applied studies are needed about the effects of monitoring on learning outcomes and on what it means for individualization of learning.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Self-regulated learning
Cognitive load
Eye tracking
Machine learning
Effective learning
Using Eye Tracking Technology to Analyse Cognitive Load in Multichannel Activities in University Students
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/7755/1/Saiz-ijhci_2023.pdf
File
MD5
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application/pdf
Saiz-ijhci_2023.pdf