RT journal article
T1 Applying active learning by contextualizing robotic applications to historical heritage
A1 Quesada Real, Francisco José
A1 Pérez Peña, Fernando
A1 Morgado Estévez, Arturo
A1 Ruiz-Lendínez, Juan J.
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 active learning
K1 historical heritage
K1 multiple intelligences
K1 robotics
K1 undergraduate engineering
AB Optional university courses are designed to allow undergraduate students to specialize in relevant fields to enhance their skills and knowledge for their future careers. However, there are some cases in which students prioritize enrolling in courses that are easy to pass. This choice results in having students with low motivation and commitment, who mainly focus on doing just enough to pass the course, missing the opportunity to boost their skills. In this study, an eclectic approach is proposed, applying a mixture of active learning methods together with the theory of multiple intelligences to improve students' performance, motivation, and commitment throughout the course. The study was applied to the 56 students enrolled in the optional Micro-Robotics Application spring course in the year 2021 at the University of Cádiz (Spain). Results demonstrate that this combination of active learning methodologies increased students' motivation, prompting them to give their best in terms of commitment, performance, and creativity. Furthermore, they were convinced that during the course they not only learned relevant robotic knowledge but also acquired essential skills needed for their future. Finally, this study highlights the benefits and future directions for implementing active learning methodologies in science, technology, engineering, and mathematics courses.
PB John Wiley and Sons Inc
SN 1099-0542
YR 2024
FD 2024
LK http://hdl.handle.net/10498/32279
UL http://hdl.handle.net/10498/32279
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026