RT Journal Article
T1 A Long-Life Predictive Guidance with Homogeneous Competence Promotion for University Teaching Design
A1 Aciego Gallardo, Juan José
A1 Claros Colomé, Alicia
A1 González Prieto, Ignacio
A1 González Prieto, Ángel
K1 Educación
AB Even though planning the educational action to optimize student performance is a very complex task, teachers typically face this challenging issue with no external assistance. Previous experience is, in most cases, the main driving force in curriculum design. This procedure commonly overlooks the students’ perception and weakly integrates the students’ feedback by using a non-systematic approach. Furthermore, transverse competences are, unfortunately, typically omitted in this procedure. This work suggests the use of a predictive tool that determines the optimal application time of different methodological instruments. The suggested method can be used for an infinite number of scenarios of promoted competences. The results can be regarded as a guide to modify the course structure, but, more importantly, it offers valuable information to understand better what is occurring in the teaching-learning process and detect anomalies in the subject and avoid the students’ exclusion. The predictive scheme simultaneously considers the teacher’s perspective, the student’s feedback, and the previous scores in a systematic manner. Therefore, results provide a broader picture of the educational process. The proposal is assessed in a course of Electrical Machines at the University of Malaga during the academic year 2021–2022.
PB MDPI
YR 2022
FD 2022-12-28
LK https://hdl.handle.net/10630/25970
UL https://hdl.handle.net/10630/25970
LA eng
NO Aciego JJ, Claros Colome A, Gonzalez-Prieto I, Gonzalez-Prieto A, Duran MJ. A Long-Life Predictive Guidance with Homogeneous Competence Promotion for University Teaching Design. Education Sciences. 2023; 13(1):31. https://doi.org/10.3390/educsci13010031
NO This research was funded in part by the Spanish Government under the Plan Estatal with the reference PID2021-127131OB-I00, in part by the Junta de Andalucia under the grant UMA20-FEDERJA-039 and in part by the Ministry of Science, Innovation and Universities under the Juan de la Cierva grant IJC2020-042700-I. Partial funding for open access charge: Universidad de Málaga
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026