A Semiautomatic and Probabilistic Approach for Student Modeling in Ubiquitous Learning Environments

Resumo

Ubiquitous Learning Environments (ULEs) enhance the automatic generation of Learning Objects (LOs), which increases the need for more adequate presentation strategies. To meet different needs and preferences of students, retrieval and personalization resources have been explored, adding cognitive theories to the student model. This paper presents a probabilistic proposal of the Felder and Silverman (FSLSM) model that includes a semiautomatic approach to its measurement in ULEs. Preliminary results indicate the existence of correlations between different types of interactions carried out by students and their respective learning styles.