Abstract
This paper introduces a course module in the domain of Artificial Intelligence, implemented in a web-based educational system called WELSA. The course is specifically tailored to capture the learning style of the students, while they browse through the module. The way of organizing and indexing the constituent educational resources is briefly introduced and then illustrated with a course fragment. In order to validate the proposed approach, a selection of learners’ behavioural patterns are analyzed and interpreted, being subsequently correlated with the learning preferences of the students.
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References
Bajraktarevic, N., Hall, W., Fullick, P.: Incorporating learning styles in hypermedia environment: Empirical evaluation. In: Proc. Workshop on Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 41–52 (2003)
Biggs, J.: Student Approaches to Learning and Studying. Australian Council for Educational Research, Hawthorn (1987)
Carver, C.A., Howard, R.A., Lane, W.D.: Enhancing student learning through hypermedia courseware and incorporation of student learning styles. IEEE Transactions on Education 42, 33–38 (1999)
Cha, H.J., Kim, Y.S., Park, S.H., Yoon, T.B., Jung, Y.M., Lee, J.H.: Learning styles diagnosis based on user interface behaviours for the customization of learning interfaces in an intelligent tutoring system. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053. Springer, Heidelberg (2006)
Dublin Core Metadata Initiative, http://dublincore.org/
Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engineering Education 78(7) (1988)
Gardner, H.: Multiple Intelligences: The Theory in Practice. Basic Books, New York (1993)
Gascuena, J., Fernández-Caballero, A., Gonzalez, P.: Domain Ontology for Personalized E-Learning in Educational Systems. In: Proc. 6th IEEE Intl. Conf. on Advanced Learning Technologies - ICALT 2006. IEEE Computer Society Press, Los Alamitos (2006)
Honey, P., Mumford, A.: The learning styles helper’s guide. Peter Honey Publications Ltd., Maidenhead (2000)
Keefe, J.W.: Learning style: an overview. In: NASSP’s Student Learning Styles: Diagnosing and Prescribing Programs, pp. 1–17 (1979)
Kelly, D., Tangney, B.: Adapting to intelligence profile in an adaptive educational system. Interacting with Computers 18, 385–409 (2006)
Papanikolaou, K.A., Grigoriadou, M., Kornilakis, H., Magoulas, G.D.: Personalizing the interaction in a Web-based educational hypermedia system: the case of INSPIRE. User-Modeling and User-Adapted Interaction 13, 213–267 (2003)
Paredes, P., Rodríguez, P.: A Mixed Approach to Modelling Learning Styles in Adaptive Educational Hypermedia. Advanced Technology for Learning 1(4), 210–215 (2004)
Poole, D., Mackworth, A., Goebel, R.: Computational Intelligence: A Logical Approach. Oxford University Press, Oxford (1998)
Popescu, E., Trigano, P., Badica, C.: Towards a Unified Learning Style Model in Adaptive Educational Systems. In: Proc. 7th IEEE Intl. Conf. on Advanced Learning Technologies - ICALT 2007, pp. 804–808. IEEE Computer Society Press, Los Alamitos (2007)
Popescu, E., Badica, C., Trigano, P.: Description and organization of instructional resources in an adaptive educational system focused on learning styles. In: Studies in Computational Intelligence, pp. 177–186. Springer, Heidelberg (2008)
Popescu, E., Trigano, P., Preda, M.: Data Requirements for Detecting Student Learning Style in an Educational Hypermedia System. In: Proc. ECC 2007. Springer, Heidelberg (2007) (in press)
Shearer, B.: The MIDAS Handbook of Multiple Intelligences in the Classroom. Greyden Press, Ohio (1996)
Solomon, B., Felder, R.M.: Index of learning styles questionnaire (1998), http://www.engr.ncsu.edu/learningstyles/ilsweb.html
Stathacopoulou, R., Grigoriadou, M., Samarakou, M., Mitropoulos, D.: Monitoring students actions and using teachers expertise in implementing and evaluating the neural network-based fuzzy diagnostic model. In: Expert Systems with Applications, vol. 32, pp. 955–975. Elsevier, Amsterdam (2007)
Triantafillou, E., Pomportsis, A., Demetriadis, S.: The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers & Education 41, 87–103 (2003)
Ullrich, C.: The Learning-Resource-Type is Dead, Long Live the Learning-Resource-Type! Learning Objects and Learning Designs 1, 7–15 (2005)
Witkin, H.A.: Psychological differentiation: studies of development. Wiley, New York (1962)
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Popescu, E. (2008). An Artificial Intelligence Course Used to Investigate Students’ Learning Style. In: Li, F., Zhao, J., Shih, T.K., Lau, R., Li, Q., McLeod, D. (eds) Advances in Web Based Learning - ICWL 2008. ICWL 2008. Lecture Notes in Computer Science, vol 5145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85033-5_13
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DOI: https://doi.org/10.1007/978-3-540-85033-5_13
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