Adaptive course generation through learning styles representation |
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Authors: | Enver Sangineto Nicola Capuano Matteo Gaeta Alessandro Micarelli |
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Affiliation: | (1) DI, Dipartimento di Informatica, Università degli Studi “La Sapienza”, Via Salaria, 113, 00198 Rome, Italy;(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;(3) DIIMA, Dipartimento di Ingegneria dell’Informazione e Matematica Applicata, Università degli Studi di Salerno, Via Ponte Don Melillo, 84084 Fisciano (SA), Italy;(4) DIA, Dipartimento di Informatica e Automazione, Università degli Studi Roma Tre, Via della Vasca Navale, 79, 00146 Rome, Italy |
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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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Keywords: | E-learning Automatic course generation and personalization Learning Styles Human– Computer interaction |
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