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.
This work is supported by the Spanish Ministry of Science and Education, projects TIN2007-64718, TEC2006-13141-C03-03 and BFU2006-07902/BFI. We are also grateful to GHIA and ATVS groups of Escuela Politécnica Superior (UAM) for their comments.
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References
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)
Bergasa-Suso, J., Sanders, D.A.: Intelligent browser-based systems to assist Internet users. IEEE Transactions on Education 48(4), 580–585 (2005)
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)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Chichester (2001)
Felder, R.M., Silvermann, L.K.: Learning and teaching styles in engineering education. Journal of Engineering Education 78, 674–681 (1988)
Felder, R.M., Soloman, B.A.: Index of Learning Styles Questionnaire, http://www.engr.ncsu.edu/learningstyles/ilsweb.html
Fierrez, J., Ramos-Castro, D., Ortega-Garcia, J., Gonzalez-Rodriguez, J.: HMM-based on-line signature verification: feature extraction and signature modeling. Pattern Recognition Letters 28, 2325–2334 (2007)
Gamboa, H., Fred, A.L.N., Jain, A.K.: Webbiometrics: User Verification Via Web Interaction. In: Proceedings of Biometric Symposium, Biometric Consortium Conference (2007)
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.x
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)
Kobsa, A.: Generic User Modeling Systems. User Modeling and User-Adapted Interaction: The Journal of Personalization Research 11, 49–63 (2001)
Paredes, P., Rodríguez, P.: A Mixed Approach to Modelling Learning Styles in Adaptive Educational Hypermedia. Advanced Technology for Learning 1(4), 210–215 (2004)
Sánchez Hórreo, V., Carro, R.M.: Studying the Impact of Personality and Group Formation on Learner Performance. In: Haake, J.M., Ochoa, S.F., Cechich, A. (eds.) CRIWG 2007. LNCS, vol. 4715, pp. 287–294. Springer, Heidelberg (2007)
Villaverde, J., Godoy, D., Amandi, A.: Learning styles’ recognition in e-learning environments with feed-forward neural networks. Journal of Computer Assisted Learning 22, 197–206 (2006)
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Spada, D., Sánchez-Montañés, M., Paredes, P., Carro, R.M. (2008). Towards Inferring Sequential-Global Dimension of Learning Styles from Mouse Movement Patterns. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2008. Lecture Notes in Computer Science, vol 5149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70987-9_48
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DOI: https://doi.org/10.1007/978-3-540-70987-9_48
Publisher Name: Springer, Berlin, Heidelberg
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