2026-06-01T13:38:34Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/134672026-02-03T12:29:10Zcom_10630_2254col_10630_37959

Experiences on a motivational learning approach for robotics in undergraduate courses Ruiz-Sarmiento, José Raúl Galindo-Andrades, Cipriano González-Jiménez, Antonio Javier Aprendizaje This paper presents an educational experience carried out in robotics undergraduate courses from two different degrees: Computer Science and Industrial Engineering, having students with diverse capabilities and motivations. The experience compares two learning strategies for the practical lessons of such courses: one relies on code snippets in Matlab to cope with typical robotic problems like robot motion, localization, and mapping, while the second strategy opts for using the ROS framework for the development of algorithms facing a competitive challenge, e.g. exploration algorithms. The obtained students’ opinions were instructive, reporting, for example, that although they consider harder to master ROS when compared to Matlab, it might be more useful in their (robotic related) professional careers, which enhanced their disposition to study it. They also considered that the challenge-exercises, in addition to motivate them, helped to develop their skills as engineers to a greater extent than the skeleton-code based ones. These and other conclusions will be useful in posterior courses to boost the interest and motivation of the students. 2017-04-20T07:10:08Z 2017-04-20T07:10:08Z 2017 2017 conference output http://hdl.handle.net/10630/13467 eng 11th annual International Technology, Education and Development Conference (INTED) Valencia March, 2017 open access by-nc-nd