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

  • Danilo Spada
  • Manuel Sánchez-Montañés
  • Pedro Paredes
  • Rosa M. Carro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)


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.


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  1. 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
  2. 2.
    Bergasa-Suso, J., Sanders, D.A.: Intelligent browser-based systems to assist Internet users. IEEE Transactions on Education 48(4), 580–585 (2005)CrossRefGoogle Scholar
  3. 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
  4. 4.
    Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Chichester (2001)zbMATHGoogle Scholar
  5. 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. 6.
    Felder, R.M., Soloman, B.A.: Index of Learning Styles Questionnaire,
  7. 7.
    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)CrossRefGoogle Scholar
  8. 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. 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. 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
  11. 11.
    Kobsa, A.: Generic User Modeling Systems. User Modeling and User-Adapted Interaction: The Journal of Personalization Research 11, 49–63 (2001)zbMATHCrossRefGoogle Scholar
  12. 12.
    Paredes, P., Rodríguez, P.: A Mixed Approach to Modelling Learning Styles in Adaptive Educational Hypermedia. Advanced Technology for Learning 1(4), 210–215 (2004)CrossRefGoogle Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    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)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Danilo Spada
    • 1
  • Manuel Sánchez-Montañés
    • 1
  • Pedro Paredes
    • 1
  • Rosa M. Carro
    • 1
  1. 1.Escuela Politécnica SuperiorUniversidad Autónoma de MadridMadridSpain

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