Date

2011-10-07

Speakers

Pilar Rodríguez and Álvaro Ortigosa (UAM)

Summary

How to provide learning style adaptation is an open question in Adaptive Educational Systems. In particular, two issues should be address: how to elicit the learning style of a given student and how to use this information to improve the student experience. This talk will go through both concerns. Firstly, a method for minimizing the number of questions the students have to answer when using one of the most frequent LS models will be presented. Secondly, both individual and group adaptation possibilities will be reviewed. For example, considering group formation, it seems the case that heterogeneous groups (regarding learning styles) tend to perform better than groups formed by students with similar characteristics.

Slides

Video

Authors' Biographies

Pilar Rodriguez (UAM)

Pilar Rodríguez was graduated in 1985 at UCM, and obtained her Ph.D. in 1990, with a thesis on Computational Linguistics. She joined IBM in 1985, working at the IBM-UAM Scientific Center until 1989, when she was assigned to the Instituto de Ingeniería del Conocimiento, IIC. In November 1996 she joined UAM, where she occupies an associate professor position in the Computer Engineering Department. At present, she is a member of the GHIA group at the UAM. Main research focuses on adaptive systems, especially for learning purposes, both in individual and collaborative environments. She has several publications concerning educational adaptive applications.

Alvaro Ortigosa ((UAM)

Álvaro Ortigosa is associate professor of the Computer Engineering Department at Universidad Autónoma de Madrid, member of the GHIA research group and the Forensics and Security Research Institute (ICFS). He received his Ph.D. degree in Computer Science from the Universidad Autónoma de Madrid. He has worked in software engineering support environments, software reuse, adaptive systems, collaborative systems, user modeling, mobile environments, and the authoring and evaluation of adaptive systems, engineering support environments, software reuse, adaptive systems, collaborative systems, user modeling, mobile environments, and authoring and evaluation of adaptive systems.