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<field name="value">Sáiz Manzanares, María Consuelo</field>
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<field name="value">Marticorena Sánchez, Raúl</field>
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<field name="value">Escolar Llamazares, María del Camino</field>
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<field name="value">González Díez, Irene</field>
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<field name="value">Martín Antón, Luis Jorge</field>
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<field name="value">2025-03-03T08:18:42Z</field>
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<field name="value">2024</field>
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<field name="value">Monitoring the learning process during task solving through different channels will facilitate a better understanding of the learning process. This understanding, in turn, will provide teachers with information that will help them to offer individualised education. In the present study, monitoring was carried out during the execution of a task applied in a self-regulated virtual environment. The data were also analysed using data fusion techniques. The objectives were as follows: (1) to examine whether there were significant differences between students in cognitive load (biomarkers: fixations, saccades, pupil diameter, galvanic skin response—GSR), learning outcomes and perceived student satisfaction with respect to the type of degree (health sciences vs. engineering; and (2) to determine whether there were significant differences in cognitive load metrics, learning outcomes and perceived student satisfaction with respect to task presentation (visual and auditory vs. visual). We worked with a sample of 31 university students (21 health sciences and 10 biomedical engineering). No significant differences were found in the biomarkers (fixations, saccades, pupil diameter and GSR) or in the learning outcomes with respect to the type of degree. Differences were only detected in perceived anxiety regarding the use of virtual laboratories, being higher in biomedical engineering students. Significant differences were detected in the biomarkers of the duration of use of the virtual laboratory and in some learning outcomes related to the execution and presentation of projects with respect to the variable form of the visualisation of the laboratory (visual and auditory vs. visual). Also, in general, the use of tasks presented in self-regulated virtual spaces increased learning outcomes and perceived student satisfaction. Further studies will delve into the detection of different forms of information processing depending on the form of presentation of learning tasks.</field>
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<field name="value">Project “Voice assistants and artificial intelligence in Moodle: a path towards a smart university” SmartLearnUni. Call 2020 R&amp;D&amp;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 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.</field>
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<field name="value">Applied Sciences. 2024, V. 14, n. 16, 7017</field>
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<field name="value">https://doi.org/10.3390/app14167017</field>
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<field name="value">Atribución 4.0 Internacional</field>
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<field name="value">Monitoring</field>
<field name="value">Learning</field>
<field name="value">Cognitive load</field>
<field name="value">Eye tracking</field>
<field name="value">Galvanic skin response</field>
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<field name="value">Educación</field>
<field name="value">Tecnología</field>
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<field name="value">Salud</field>
<field name="value">Informática</field>
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<field name="value">Education, Higher</field>
<field name="value">Psychology</field>
<field name="value">Health</field>
<field name="value">Computer science</field>
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<element name="title">
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<field name="value">Using Integrated Multimodal Technology: A Way to Personalise Learning in Health Science and Biomedical Engineering Students</field>
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