ABSTRACT
Design engineering education should use real challenges with students to encourage their involvement and motivation.In the 2020-2021 academic year, in the subject of Design Methodology and Creativity, it was applied the techniques SWOT (Strengths, Weaknesses, Opportunities y Threats), CAME (Correct, Confront, Maintain and Exploit) and QFD (Quality Function Deployment) to the analysis and improvement of products and services chosen by them and that were related to the global pandemic that is being suffered due to COVID-19. In this work, the topics proposed by the students as possible products or services related to COVID19 that are susceptible to improvement are analyzed. A total of 85 students (65% women, 35% men) chose up to a total of 19 different topics. The 5 winning themes were chosen from among more than 66% of the students, with the first theme, "facial protection" with different types of masks, the one that showed the most interest among the students (almost 30%). This way of working allows design engineering students to learn to use design analysis and improvement methodologies in a familiar environment, highlighting their importance of serving to combat the current pandemic. © 2022 by the authors. Licensee AEIPRO, Spain.
ABSTRACT
The objective of this work is to document the teaching-learning process in the subject of Strategic Business Management in the 4th year of Business Administration in the 2020 academic year, based on the elaboration of a research work, by means of a pedagogical process, where learning is constructed, autonomous and collaborative. For this purpose, the dynamic systems methodology has been used. Based on the dynamic hypothesis and therefore on the establishment of causal relationships, which associate motivation (from different perspectives) of the students/groups and of the teacher with the learning process. The main results achieved, by means of the simulation and the scenarios proposed were the following;i) the model proposed reflects the behavior of the teaching process and its validation is reasonably adjusted to the information and perception of the process and ii) the assumptions in extreme conditions provided relatively reasonable answers.