Affiliation:
1. Instituto Tecnológico Superior Zacatecas Norte
Abstract
In this article a first approach was made about the tracking of a student’s learning styles preferences along their higher education. The investigation was applied to students of the Computer Science area, through a comparative evaluation of the Honey-Alonso Learning Styles Questionnaire to selected students, in three moments of their career path. In a first instance, the results show a change in the learning style of the students, later an analysis provides the nature of that change. The study presents the sample size as a limitation, because the tests had to be applied to the selected students and at different times of their professional studies. The interest for get knowledge about learning styles, aims to increasing the comprehension about how the students learn, and in the possibility of developing tools that allow, as far as possible, increasing the learning motivation and personalization.
Reference33 articles.
1. Alamán, X., Cabello, R., Gómez-Arriba, F., Haya, P., Martínez, A., Martínez, J., and Montoro, G. (2003). Using context information to generate dynamic user interfaces. In Proceedings of the Tenth International Conference on Human-Computer Interaction, 2, 345–349.
2. Alfonseca, E., Carro, R. M., Martín, E., Ortigosa, A., and Paredes, P. (2006). The impact of learning styles on student grouping for collaborative learning: a case study. User Modeling and User-Adapted Interaction, 16(3-4):377–401.
3. Alonso, C. M., Gallego, D. J., and Honey, P. (1997). Los estilos de aprendizaje: procedimientos de diagnóstico y mejora. Mensajero Bilbao, España.
4. Alshammari, M., Anane, R., and Hendley, R. J. (2015). The impact of learning style adaptivity in teaching computer security. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, pages 135–140.
5. An, D. and Carr, M. (2017). Learning styles theory fails to explain learning and achieve- ment: Recommendations for alternative approaches. Personality and Individual Differences, 116:410–416.