Towards Inferring Sequential-Global Dimension of Learning Styles from Mouse Movement Patterns
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.
Unable to display preview. Download preview PDF.
- 1.Alfonseca, E., Carro, R.M., Martín, E., Ortigosa, A., Paredes, P.: The Impact of Learning Styles on Student Grouping for Collaborative Learning: A Case Study. User Modeling and User Adapted Interaction, special issue on User Modeling to Support Groups, Communities and Collaboration 16(3-4), 377–401 (2006)Google Scholar
- 3.Brusilovsky, P.: Adaptive hypermedia. In: Kobsa, A. (ed.) User Modeling and User Adapted Interaction, Ten Year Anniversary Issue, vol. 11(1/2), pp. 87–110 (2001)Google Scholar
- 5.Felder, R.M., Silvermann, L.K.: Learning and teaching styles in engineering education. Journal of Engineering Education 78, 674–681 (1988)Google Scholar
- 6.Felder, R.M., Soloman, B.A.: Index of Learning Styles Questionnaire, http://www.engr.ncsu.edu/learningstyles/ilsweb.html
- 8.Gamboa, H., Fred, A.L.N., Jain, A.K.: Webbiometrics: User Verification Via Web Interaction. In: Proceedings of Biometric Symposium, Biometric Consortium Conference (2007)Google Scholar
- 9.García, P., Schiaffino, S., Amandi, A.: An enhanced Bayesian model to detect students’ learning styles in Web-based courses. Journal of Computer Assisted Learning (OnlineEarly Articles), doi:10.1111/j.1365-2729.2007.00262.xGoogle Scholar
- 10.Graf, S., Kinshuk: An Approach for Detecting Learning Styles in Learning Management Systems. In: Sixth International Conference on Advanced Learning Technologies (ICALT), pp. 161–163 (2006)Google Scholar