2026-04-19T18:54:41Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/102712025-03-04T11:34:53Zcom_10259_5841com_10259_5086com_10259_2604col_10259_5842

Sáiz Manzanares, María Consuelo 510 600 0000-0002-1736-2089 Marticorena Sánchez, Raúl 338 600 0000-0002-2633-635X Sáez García, Javier 6eeac8b4-707f-473e-9701-fe86c1dffcc7 600 González Díez, Irene 859 600 0000-0002-1481-7172 2025-03-03T08:18:59Z 2025-03-03T08:18:59Z 2024 http://hdl.handle.net/10259/10271 10.3390/app14219831 2076-3417 This study deals with an analysis of the cognitive load indicators produced in virtual simulation tasks through supervised and unsupervised machine learning techniques. The objectives were (1) to identify the most important cognitive load indicators through the use of supervised and unsupervised machine learning techniques; (2) to study which type of task presentation was most effective at reducing the task’s intrinsic load and increasing its germane load; and (3) to propose an explanatory model and find its fit indicators. We worked with a sample of 48 health sciences and biomedical engineering students from the University of Burgos (Spain). The results indicate that being able to see the task before performing it increases the germane load and decreases the intrinsic load. Similarly, allowing students a choice of presentation channel for the task respects how they process information. In addition, indicators of cognitive load were found to be grouped into components of position, speed, psychogalvanic response, and skin conductance. An explanatory model was proposed and obtained acceptable fit indicators. The project “Voice assistants and artificial intelligence in Moodle: a path towards a smart university”, SmartLearnUni, Call 2020 R&D&I Projects-RTI Type B, MINISTRY OF SCIENCE AND INNOVATION AND UNIVERSITIES, STATE RESEARCH AGENCY, Government of Spain, grant number PID2020-117111RB-I00”. Specifically, in the part concerning the application of multichannel eye-tracking technology with university students and the project “Specialized and updated training on supporting advance technologies for early childhood education and care professionals and graduates” (eEarlyCare-T), grant number 2021-1-ES01-KA220-SCH-000032661 funded by the EUROPEAN COMMISSION. In particular, the funding has enabled the development of the e-learning classroom and educational materials. application/pdf eng MDPI Applied Sciences. 2024, V. 14, n. 21, 9831 https://doi.org/10.3390/app14219831 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Eye tracking Galvanic skin response Cognitive load Simulation tasks Machine learning techniques Tecnología Informática Psicología Enseñanza superior Technology Computer science Psychology Education, Higher Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Applied Sciences 14 21 9831 THUMBNAIL Sáiz-apsc_2024.pdf.jpg Sáiz-apsc_2024.pdf.jpg IM Thumbnail image/jpeg 4607 https://riubu.ubu.es/bitstream/10259/10271/4/S%c3%a1iz-apsc_2024.pdf.jpg fa395f8093fb7990b40027248a59e06d MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/10271/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/10271/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Sáiz-apsc_2024.pdf Sáiz-apsc_2024.pdf application/pdf 4071680 https://riubu.ubu.es/bitstream/10259/10271/1/S%c3%a1iz-apsc_2024.pdf 662a9739292a187dc2572222bf4459ff MD5 1 10259/10271 oai:riubu.ubu.es:10259/10271 2025-03-04 12:34:53.44 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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