2026-05-14T06:00:32Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/109402025-10-09T00:05:33Zcom_10259_5645com_10259_5086com_10259_2604com_10259_6193com_10259_4147com_10259.4_106col_10259_10943col_10259_7108

Porras Alfonso, Santiago 667 500 0000-0003-4331-3085 Puche Regaliza, Julio César 821 500 0000-0002-7961-3031 Casado Yusta, Silvia 666 500 0000-0002-9663-1557 Sauvée, Athénaïs 026d2e4d-b215-47b6-b163-8d7ba357a509 600 Antón Maraña, Paula 887 500 0000-0003-1299-1385 Pacheco Bonrostro, Joaquín 410 600 0000-0002-7462-8680 2025-10-08T09:04:47Z 2025-10-08T09:04:47Z 2023-06 978-84-13960-85-2 https://hdl.handle.net/10259/10940 10.4995/HEAd23.2023.16092 Low class attendance by university students is one of the factors that may be related to abandonment ratios, which constitute a serious socio-economic issue. The aim of this work is to confront the influence of the time management capacity of first-year students with their class attendance. With a factorial analysis of a survey carried out, four factors emerged: the students' perception of how they manage their time, the time they spend on less productive tasks, the ability to finish tasks on time and the use of time management tools. Moreover, with classification trees it was seen that students who are able to finish the tasks on time, have a greater capacity for concentration and spend less time on trivial tasks, have higher class attendance. With these profiles identified, it is expected to guide them to improve their time management, increase their class attendance and, as a consequence, decrease dropout rates. application/pdf eng Editorial Universitat Politècnica de València 9th International Conference on Higher Education Advances (HEAd 2023), p. 851-859 http://dx.doi.org/10.4995/HEAd23.2023.16092 Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Time management Class attendance Factorial analysis Classification trees Empleo del tiempo Time management Relationship between time management and class attendance in university students: clustering techniques for detection of profiles info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion 851 859 THUMBNAIL Porras_HEAd2023_851-859.pdf.jpg Porras_HEAd2023_851-859.pdf.jpg IM Thumbnail image/jpeg 3830 https://riubu.ubu.es/bitstream/10259/10940/4/Porras_HEAd2023_851-859.pdf.jpg 3391f9b1c4d0a38d698489db5110bdaa MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/10940/3/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 1031 https://riubu.ubu.es/bitstream/10259/10940/2/license_rdf 934f4ca17e109e0a05eaeaba504d7ce4 MD5 2 ORIGINAL Porras_HEAd2023_851-859.pdf Porras_HEAd2023_851-859.pdf application/pdf 1422568 https://riubu.ubu.es/bitstream/10259/10940/1/Porras_HEAd2023_851-859.pdf 24acdc5f82bc5751a12a5783b52b0f37 MD5 1 10259/10940 oai:riubu.ubu.es:10259/10940 2025-10-09 02:05:33.428 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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