2026-05-29T22:29:45Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/109392025-10-09T00:05:32Zcom_10259_5645com_10259_5086com_10259_2604com_10259_6193com_10259_4147com_10259.4_106col_10259_10943col_10259_7108

Porras Alfonso, Santiago 667 600 0000-0003-4331-3085 Sauvée, Athénaïs 026d2e4d-b215-47b6-b163-8d7ba357a509 600 Puche Regaliza, Julio César 821 600 0000-0002-7961-3031 Casado Yusta, Silvia 666 600 0000-0002-9663-1557 Antón Maraña, Paula 887 600 0000-0003-1299-1385 Pacheco Bonrostro, Joaquín 410 600 0000-0002-7462-8680 2025-10-08T08:14:40Z 2025-10-08T08:14:40Z 2024-06 978-84-13962-00-9 https://hdl.handle.net/10259/10939 10.4995/HEAd24.2024.17343 Absenteeism in higher education is a problem that may involve institutional, economic, social, and individual consequences. The present work aims to analyse whether the way students manage their personal time could be an explanation for absenteeism rates. Authors used machine learning based methodology, combined with explainable artificial intelligence methods. This allowed them to design a two-levels analysis, it is to say from a global, and an individual perspective. Factors such as repeating a course have the most negative impact over class attendance. On the contrary, being able to submit an assignment before the deadline has the most positive impact over class attendance. The kind of academic career, the place of living or the hobbies has also influence over the absenteeism. application/pdf eng Editorial Universitat Politècnica de València 10th International Conference on Higher Education Advances (HEAd’24), p. 673-680 https://doi.org/10.4995/HEAd24.2024.17343 Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Absenteeism Higher education Support vector machine Explainable artificial intelligence Shapley additive explanation Time management Empleo del tiempo Time management Time management and absenteeism: studying the students through machine learning info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion 673 680 THUMBNAIL Porras_HEAd2024_676-680.pdf.jpg Porras_HEAd2024_676-680.pdf.jpg IM Thumbnail image/jpeg 4805 https://riubu.ubu.es/bitstream/10259/10939/4/Porras_HEAd2024_676-680.pdf.jpg 373eab34719ced8fc8c0c90015d27e97 MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/10939/3/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 1031 https://riubu.ubu.es/bitstream/10259/10939/2/license_rdf 934f4ca17e109e0a05eaeaba504d7ce4 MD5 2 ORIGINAL Porras_HEAd2024_676-680.pdf Porras_HEAd2024_676-680.pdf application/pdf 327148 https://riubu.ubu.es/bitstream/10259/10939/1/Porras_HEAd2024_676-680.pdf 271964b81529de2a6507bfd936549f42 MD5 1 10259/10939 oai:riubu.ubu.es:10259/10939 2025-10-09 02:05:32.693 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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