2026-05-07T08:27:07Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/62472023-08-28T12:06:49Zcom_10259.4_2503com_10259_5086com_10259_2604com_10259_4219com_10259_5841col_10259.4_2504col_10259_4220col_10259_5842

Sáiz Manzanares, María Consuelo 510 600 0000-0002-1736-2089 Rodríguez Diez, Juan José 477 600 0000-0002-3291-2739 Marticorena Sánchez, Raúl 338 600 0000-0002-2633-635X Zaparaín Yáñez, Mª José 581 600 0000-0002-1443-4964 Cerezo Menéndez, Rebeca 642e624f-27a4-40ea-b6bf-b6817342ce65 600 2021-11-29T08:57:40Z 2021-11-29T08:57:40Z 2020-03 2071-1050 http://hdl.handle.net/10259/6247 10.3390/su12051970 The use of learning environments that apply Advanced Learning Technologies (ALTs) and Self-Regulated Learning (SRL) is increasingly frequent. In this study, eye-tracking technology was used to analyze scan-path differences in a History of Art learning task. The study involved 36 participants (students versus university teachers with and without previous knowledge). The scan-paths were registered during the viewing of video based on SRL. Subsequently, the participants were asked to solve a crossword puzzle, and relevant vs. non-relevant Areas of Interest (AOI) were defined. Conventional statistical techniques (ANCOVA) and data mining techniques (string-edit methods and k-means clustering) were applied. The former only detected differences for the crossword puzzle. However, the latter, with the Uniform Distance model, detected the participants with the most effective scan-path. The use of this technique successfully predicted 64.9% of the variance in learning results. The contribution of this study is to analyze the teaching–learning process with resources that allow a personalized response to each learner, understanding education as a right throughout life from a sustainable perspective. European Project “Self-Regulated Learning in SmartArt” 2019-1-ES01-KA204-065615 and the Research Funding Program (Funding of dissemination of research results, 2020) of the Vice-Rectorate for Research and Knowledge Transfer of the University of Burgos to the Recognized Investigation Group DATAHES. application/pdf eng MDPI Sustainability. 2020, V. 12, n. 5, 1970 https://doi.org/10.3390/su12051970 info:eu-repo/grantAgreement/EC/Erasmus+/2019-1-ES01-KA204-065615/EU/SELF-REGULATED LEARNING IN SMARTART Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Advanced learning technologies Lifelong learning Sustainability education Eye tracking Data mining techniques Enseñanza superior Psicología Informática Education, Higher Psychology Computer science Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining Techniques info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion THUMBNAIL Saiz-sustainability_2020.pdf.jpg Saiz-sustainability_2020.pdf.jpg IM Thumbnail image/jpeg 3285 https://riubu.ubu.es/bitstream/10259/6247/4/Saiz-sustainability_2020.pdf.jpg db6bb63be79a0dcfefdaaf29f457c77e MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/6247/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/6247/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Saiz-sustainability_2020.pdf Saiz-sustainability_2020.pdf application/pdf 4338353 https://riubu.ubu.es/bitstream/10259/6247/1/Saiz-sustainability_2020.pdf e80b99ad03e94b4ec8fd466082eb0e89 MD5 1 10259/6247 oai:riubu.ubu.es:10259/6247 2023-08-28 14:06:49.214 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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