https://hdl.handle.net/10259/10943 2026-04-30T02:54:27Z https://hdl.handle.net/10259/10940 Relationship between time management and class attendance in university students: clustering techniques for detection of profiles Porras Alfonso, Santiago; Puche Regaliza, Julio César; Casado Yusta, Silvia; Sauvée, Athénaïs; Antón Maraña, Paula; Pacheco Bonrostro, Joaquín 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. 2023-06-01T00:00:00Z https://hdl.handle.net/10259/10939 Time management and absenteeism: studying the students through machine learning Porras Alfonso, Santiago; Sauvée, Athénaïs; Puche Regaliza, Julio César; Casado Yusta, Silvia; Antón Maraña, Paula; Pacheco Bonrostro, Joaquín 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. 2024-06-01T00:00:00Z https://hdl.handle.net/10259/10932 Planificación de horarios para personal sanitario con estrategias eficientes Antón Maraña, Paula; Pacheco Bonrostro, Joaquín; Puche Regaliza, Julio César; Casado Yusta, Silvia La planificación laboral adquiere especial relevancia en el ámbito sociosanitario, ya que la mayoría de los profesionales trabajan en turnos alternos, lo que dificulta la conciliación de la vida laboral y personal. En muchas ocasiones la asignación de horarios se hace considerando las preferencias de los trabajadores por trabajar o descansar en determinados turnos, mejorando su productividad y la calidad de la atención al paciente. Esto da lugar a modelos cuyos objetivos son maximizar la satisfacción de estas preferencias cumpliendo con las normas laborales. Normalmente, estos modelos incluyen dicha normativa en su formulación, siendo excesivamente complejos, y requieren de técnicas aproximadas para resolver instancias reales. En este trabajo proponemos una estrategia aplicada a un caso real de una residencia de la tercera edad en Burgos que consiste en generar todos los posibles conjuntos de turnos (patrón) que se pueden asignar a un profesional cumpliendo la normativa laboral; y posteriormente, diseñar un modelo simple de asignación de profesionales a patrones. La normativa laboral se satisface, aunque no aparece explícitamente, y el modelo resultante puede resolverse de forma exacta en instancias reales de gran tamaño Comunicación presentada en: IX Jornadas de Doctorandos de la Universidad de Burgos, organizadas por la Escuela de Doctorado, 20 y 21 de mayo de 2024 2024-06-01T00:00:00Z