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Adaptive course generation through learning styles representation

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Abstract

This paper presents an approach to automatic course generation and student modeling. The method has been developed during the European funded projects Diogene and Intraserv, focused on the construction of an adaptive e-learning platform. The aim of the platform is the automatic generation and personalization of courses, taking into account pedagogical knowledge on the didactic domain as well as statistic information on both the student’s knowledge degree and learning preferences. Pedagogical information is described by means of an innovative methodology suitable for effective and efficient course generation and personalization. Moreover, statistic information can be collected and exploited by the system in order to better describe the student’s preferences and learning performances. Learning material is chosen by the system matching the student’s learning preferences with the learning material type, following a pedagogical approach suggested by Felder and Silverman. The paper discusses how automatic learning material personalization makes it possible to facilitate distance learning access to both able-bodied and disabled people. Results from the Diogene and Intraserv evaluation are reported and discussed.

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References

  1. ACM Web Site. http://www.acm.org/class/

  2. Adorni, G., Bianchi, D., Calabrese, E.: A versatile system for on-line testing, Proceedings of the Workshop on Artificial Intelligence and e-learning, Eighth National Congress of Italian Association for Artificial Intelligence, Pisa, Italy 23–26 (2003)

  3. Adorni, G., Sugliano, A.M., Vercelli, G.: AI embedded into LMS agents: the UniGe E_Learning portal experience and future scenario. In: Proceedings of the Workshop on Artificial Intelligence and e-learning, Eighth National Congress of Italian Association for Artificial Intelligence, 23–26, Pisa, Italy (2003)

  4. Benayache, A., Abel, M.-H.: Using knowledge management method for e-learning. In: Chiazzese, G., Allegra, M., Chifari A., Ottaviano S. (eds.) Methods and Technologies for Learning. WIT Press, ISBN 1-84564-155-8 (2005)

  5. Bert van den Berg, René van Es, Tattersall, C., Janssen, J., Manderveld, J., Brouns, F., Kurvers, H., Koper, R.: Swarm-based sequencing recommendations in e-learning. In: Proceedings of the fifth International Conference on Intelligent Systems Design and Applications, 2005. ISDA ’05, pp. 488–493 (2005)

  6. Blackboard Web Site (1997): http://www.Blackboard.com/

  7. Capuano, N., Gaeta, M., Micarelli, A., Sangineto, E.: An integrated architecture for automatic course generation. In: Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 02), pp. 322–326. Kazan, Russia (2002)

  8. Capuano N., Gaeta, M., Micarelli, A., Sangineto, E.: An intelligent Web teacher system for learning personalization and semantic web compatibility. In: Proceedings of the Eleventh International PEG Conference, St. Petersburg, Russia, 28 June–1 July (2003)

  9. Cormen, T.H., Stein, C., Rivest, R.L., Leiserson, C.E.: Introduction to Algorithms, 2nd edn. McGraw, New York (2001)

  10. De Marsico, M., Kimani, S., Mirabella, V., Norman, K.L., Catarci, T.: A proposal toward the development of accessible e-learning content by human involvement. Univers. Access Inform. Soc. 5, 150–169 (2006)

    Google Scholar 

  11. Dicheva, D., Dichev, C.: Confronting some ontology-building problems in educational topic map authoring. In: Workshop on Applications of Semantic Web Technologies for e-Learning (SW-EL@AH’06), Ireland (2006)

  12. Diogene, A.: Training Web broker for ICT professionals (IST-2001-33358), official Web site: http://www.crmpa.it/diogene (2001)

  13. Diogene, the project’s Final Report, available at: http://www.crmpa.it/diogene/archive.html (2004)

  14. Duval, E., Forte, E., Cardinaels, K., Verhoeven, B., Van Durm, R., Hendrikx, K., Wentland Forte, M., Ebel, N., Macowicz, M., Warkentyne, K., Haenni, F.: The Ariadne knowledge pool system. Commun. ACM 44(5), 73–78 (2001)

    Article  Google Scholar 

  15. Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engr. Educ. 78(7), 674–681 (1988)

    Google Scholar 

  16. Felder, R.M., Soloman, B.A.: The Learning Styles Questionnaire. Available at: http://www.engr.ncsu.edu/learningstyles/ilsweb.html (1993)

  17. Learning Resource Meta-Data Best Practice and Implementation Guide, version 1.2.1. Final Specification http://www.imsproject.org/specifications.html (2001)

  18. IntraServ Web Site. InTraServ: Intelligent Training Service for Management Training in SMEs, FP5 IST Project (IST-2000-29377). http://www.crmpa.it/intraserv/

  19. Intraserv Impact Evaluation Results and Analysis. Available on: http://www.crmpa.it/intraserv/archive.htm

  20. IWT: Intelligent Web Teacher. White Paper. CRMPA (2002)

  21. IMS Global Learning Consortium Inc.: IMS guidelines for developing accessible learning applications, version 1.0, white paper, retrieved December 1, 2004 from: http://www.imsproject.org/accessibility/ (2002)

  22. Kasai, T., Yamaguchi, H., Kazuo Nagano, Riichiro Mizoguchi.: Building an ontology of IT education goals. Int. J. Cont. Eng. Educ. Lifelong Learn. 16(1/2), 1–17 (2006)

    Google Scholar 

  23. Kitamura, Y., Mizoguchi, R.: An ontological schema for sharing conceptual engineering knowledge. In: Proceedings of the International Workshop on Semantic Web Foundations and Application Technologies, pp. 25–28, Nara, Japan (2003)

  24. Koper, R.: Modeling units of study from a pedagogical perspective. The pedagogic meta-model behind Educational Modelling Language (E.M.L.), Open University of the Netherlands, Educational Technology Expertise Centre, Valkenburgerweg (2001)

    Google Scholar 

  25. Koper, E.J.R.: Increasing learner retention in a simulated learning network using indirect social interaction. J. Artif. Soc. Soc. Simulat. (2005)

  26. Lotus LearningSpace Web Site: http://www.pugh.co.uk/Products/lotus/learningspace.htm (2004)

  27. Gilbert Paquette.: Educational modeling languages, from an instructional engineering perspective. In: McGreal, R. (ed) Online education using learning objects, pp. 331–346. Routledge/Falmer, London (2004)

  28. Paquette, G., De la Teja, I., Léonard, M., Lundgren-Cayrol, L., Marino, O.: Using an instructional engineering method and a modeling tool to design IMS-LD units of learning. In: Koper, R., Tattersall, C. (eds.) Learning Design: A Handbook on Modelling and Delivering Networked Education and Training, pp. 161–183. Springer, Heidelberg (2005)

  29. Protégé Web Site. http://protege.stanford.edu

  30. Ronchetti, M., Saini, P.: The knowledge management problem in an e-learning system: a possible solution, Proceedings of the Workshop on Artificial Intelligence and e-learning, Eighth National Congress of Italian Association for Artificial Intelligence, 23–26, Pisa, Italy (2003)

  31. Sanrach, C., Grandbastien, M.: ECSAIWeb: A web-based authoring system to create adaptive learning systems. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds.) Adaptive Hypermidia 2000, pp. 214–226. LNCS 1892 (2000)

  32. Seal, K.C., Przasnyski, Z.H.: Using the World Wide Web for teaching improvement. Comput. Educ. 36, 33–44 (2001)

    Article  Google Scholar 

  33. Tattersall, C., Vogten, H., Brouns, F., Koper, R., van Rosmalen, P., Sloep, P., van Bruggen, J.: How to create flexible runtime delivery of distance learning courses. Educ. Technol. Soc. 8(3), 226–236 (2005)

    Google Scholar 

  34. TopClass Web Site. http://www.wbtsystems.com

  35. Trigano, Ph., Giacomini, E.: Toward a Web based environment for Evaluation and Design of Pedagogical Hypermedia. J. Educ. Technol. Soc. IEEE Learn. Technol. Task Force 7(3), (2004)

  36. WebCT Web Site. http://www.webct.com

  37. Weber, G., Kuhl, H.C, Weibelzahl, S.: Developing adaptive Internet based courses with the authoring system NetCoach. In: Proceedings of the Third Workshop on Adaptive Hypermedia (UM2001) (2001)

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Acknowledgments

This research was supported by the Information Society Technologies projects Diogene (IST-2001-33358) and Intraserv (IST-2000-29377). Further details can be found, respectively, on the project Web sites: http://www.crmpa.it/diogene [12] and http://www.crmpa.it/intraserv/ [18].

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Authors and Affiliations

  1. DI, Dipartimento di Informatica, Università degli Studi “La Sapienza”, Via Salaria, 113, 00198, Rome, Italy

    Enver Sangineto

  2. CRMPA, Centro di Ricerca in Matematica Pura ed Applicata, c/o Università degli Studi di Salerno, DIIMA, Via Ponte Don Melillo, 84084, Fisciano (SA), Italy

    Nicola Capuano & Matteo Gaeta

  3. DIIMA, Dipartimento di Ingegneria dell’Informazione e Matematica Applicata, Università degli Studi di Salerno, Via Ponte Don Melillo, 84084, Fisciano (SA), Italy

    Nicola Capuano & Matteo Gaeta

  4. DIA, Dipartimento di Informatica e Automazione, Università degli Studi Roma Tre, Via della Vasca Navale, 79, 00146, Rome, Italy

    Alessandro Micarelli

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  1. Enver Sangineto
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  2. Nicola Capuano
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  4. Alessandro Micarelli
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Correspondence to Enver Sangineto.

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Sangineto, E., Capuano, N., Gaeta, M. et al. Adaptive course generation through learning styles representation. Univ Access Inf Soc 7, 1–23 (2008). https://doi.org/10.1007/s10209-007-0101-0

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