Towards Inferring Sequential-Global Dimension of Learning Styles from Mouse Movement Patterns

Authors:
Danilo Spada;Manuel Sánchez-Montañés;Pedro Paredes;Rosa M. Carro
Affiliations:
Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain 28049;Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain 28049;Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain 28049;Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain 28049
Venue:
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2008

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Abstract

One of the main concerns of user modelling for adaptive hypermedia deals with automatic user profile acquisition. In this paper we present a new approach to predict sequential/global dimension of Felder-Silverman's learning style model that only makes use of mouse movement patterns. The results obtained in a case study with 18 students are very promising. We found a strong correlation between maximum vertical speed and sequential/global dimension score. Moreover, it was possible to predict whether students' learning styles are global or sequential with high accuracy (94.4%). This suggests that mouse movement patterns can be a powerful source of information about certain user features.