2026-06-05T11:54:15Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/117942026-06-04T00:05:24Zcom_10259_5841com_10259_5086com_10259_2604col_10259_5842

Rodríguez Arribas, Sandra 752 500 0000-0001-8845-5947 Martin, Caroline Françoise 685 600 Calvo Rodríguez, Alberto 7d3f2b00-9b13-498e-b6d9-66732ff1cde3 500 Marticorena Sánchez, Raúl 338 500 0000-0002-2633-635X Andrés López, Gonzalo 26 500 0000-0001-9377-8695 Zaparaín Yáñez, Mª José 581 600 0000-0002-1443-4964 Payo Hernanz, René Jesús 420 500 0000-0003-2502-8598 Sáiz Manzanares, María Consuelo 510 500 0000-0002-1736-2089 2026-06-03T11:10:20Z 2026-06-03T11:10:20Z 2021-06 1940-087X https://hdl.handle.net/10259/11794 10.3791/62103 1940-087X Behavioral analysis of adults engaged in learning tasks is a major challenge in the field of adult education. Nowadays, in a world of continuous technological changes and scientific advances, there is a need for life-long learning and education within both formal and non-formal educational environments. In response to this challenge, the use of eye-tracking technology and data-mining techniques, respectively, for supervised (mainly prediction) and unsupervised (specifically cluster analysis) learning, provide methods for the detection of forms of learning among users and/or the classification of their learning styles. In this study, a protocol is proposed for the study of learning styles among adults with and without previous knowledge at different ages (18 to 69-year-old) and at different points throughout the learning process (start and end). Statistical analysis-of-variance techniques mean that differences may be detected between the participants by type of learner and previous knowledge of the task. Likewise, the use of unsupervised learning clustering techniques throws light on similar forms of learning among the participants across different groups. All these data will facilitate personalized proposals from the teacher for the presentation of each task at different points in the chain of information processing. It will likewise be easier for the teacher to adapt teaching materials to the learning needs of each student or group of students with similar characteristics. The work has been developed within the Project "Self-Regulated Learning in SmartArt Erasmus+ Adult Education" 2019-1-ES01-KA204-095615-Coordinator 6, funded by the European Commission. application/pdf eng MyJove Corporation Journal of Visualized Experiments (JoVE). 2021, n. 172, art. e62103 https://doi.org/10.3791/62103 Educación de adultos Tecnología educativa Adult education Educational technology Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/openAccess Journal of Visualized Experiments 172 THUMBNAIL Rodriguez-JoVE_2021.pdf.jpg Rodriguez-JoVE_2021.pdf.jpg IM Thumbnail image/jpeg 5428 https://riubu.ubu.es/bitstream/10259/11794/3/Rodriguez-JoVE_2021.pdf.jpg 6567dfc016e547c28c495c725ec9d74a MD5 3 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/11794/2/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 2 ORIGINAL Rodriguez-JoVE_2021.pdf Rodriguez-JoVE_2021.pdf application/pdf 741742 https://riubu.ubu.es/bitstream/10259/11794/1/Rodriguez-JoVE_2021.pdf e885c1d5a3912cd94f2ad72f1767c0dc MD5 1 10259/11794 oai:riubu.ubu.es:10259/11794 2026-06-04 02:05:24.859 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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