Abstract
This paper states the analysis of an experience of personalization and adaptation for the learning of university students. The experience presents tests of formative evaluation, personalized and adapted in a Virtual Learning Environment, as a complement on site teaching. The objective of this communication is exposing, as a contribution, our adaptive methods for the learning experience. The personalization of the tests was based on the identification of the learning styles and the levels of previous knowledge of the students. The experience started in the year 2014 and still continues. The results of the analysis show that our techniques of personalization and adaptation, which have been refined as time went by, improve the students’ learning and guide the professors in the decision-making that have an impact in the optimization of the pedagogical proposal.
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Gonzalez, M. et al. (2019). Advances in Test Personalization and Adaptation in a Virtual Learning Environment. In: Pesado, P., Aciti, C. (eds) Computer Science – CACIC 2018. CACIC 2018. Communications in Computer and Information Science, vol 995. Springer, Cham. https://doi.org/10.1007/978-3-030-20787-8_4
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