2026-09-01T03:14:08Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/98372025-01-09T01:05:25Zcom_10259.4_2543com_10259_5086com_10259_2604col_10259.4_2544

Sáiz Manzanares, María Consuelo Alonso Martínez, Laura Calvo Rodríguez, Alberto Martin, Caroline Françoise 2025-01-08T09:16:54Z 2025-01-08T09:16:54Z 2022-12 http://hdl.handle.net/10259/9837 10.3791/63601 1940-087X Academic leaders all over the world are encouraging the use of active methodologies in teaching, especially in higher education. The reason for this is that social changes are happening at an ever-increasing rate, and they require students and teachers to develop digital skills. This is especially significant for health sciences degrees, in which future graduates must have effective problem-solving skills. To respond to this challenge, the use of a project-based learning (PBL) methodology, together with various monitoring techniques based on the use of Educational Data Mining (EDM) and mixed methods, will provide teachers with information about the effectiveness of the methodology and guide the implementation of personalized educational responses. This study provides a protocol for the application of the PBL methodology in e-Learning and blended-Learning (b-Learning) teaching modalities for health sciences students studying occupational therapy in higher education. In addition, statistical techniques for the analysis of covariance and unsupervised learning allow differences to be detected between the two teaching modalities, thus specifying their effectiveness in terms of a range of variables related to behavioral patterns, performance, and satisfaction. Data visualization also helps in understanding the qualitative aspects of the learning process. These data will help teachers to produce more effective proposals for the implementation of the PBL methodology based on the based on the context of the teaching-learning process. Therefore, this protocol offers many resources and materials to help teachers implement the PBL methodology in e-Learning and bLearning teaching methods. The study was carried out as part of the research project "SmartLearnUni", funded by the Spanish Ministry of Science and Innovation 2020 I+D+i Projects - RTI Type B. Reference: PID2020-117111RB-I00. The authors also gratefully acknowledge the collaboration of the health sciences students at the University of Burgos, especially the students studying for their Occupational Therapy and Nursing degrees. application/pdf eng MyJove Corporation Journal of Visualized Experiments. 2022, n. 190, e63601 https://doi.org/10.3791/63601 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117111RB-I00/ES/ASISTENTES DE VOZ E INTELIGENCIA ARTIFICIAL EN MOODLE: UN CAMINO HACIA UNA UNIVERSIDAD INTELIGENTE/ Project-based learning Educational Data Mining Health Sciences Mixed methods Aprendizaje basado en proyectos Enseñanza superior Education, Higher Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion © 2022 JoVE info:eu-repo/semantics/closedAccess Journal of Visualized Experiments 190