Longitudinal study of the learning styles evolution in Engineering degrees

Abstract

A learning style describes what are the predominant skills for learning tasks. In the context of university education, knowing the learning styles of the students constitutes a great opportunity to improve both teaching and evaluation. By using the Honey-Alonso Learning Styles Questionnaire (CHAEA), in this work, we carried out a longitudinal study of the correlation between marks and the results of the survey. The 2018/2019, 2019/2020, and 2020/2021 academic years in two different courses from Computer Sciences engineering degrees were studied. The results were analyzed in order to evaluate the impact of the adaptation to digital lessons during the last year.