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Intelligent Tutoring Systems for Distributed Learning

Intelligent Tutoring Systems for Distributed Learning

Mohamed Ally
Copyright: © 2008 |Pages: 15
ISBN13: 9781599047683|ISBN10: 1599047683|ISBN13 Softcover: 9781616926915|EISBN13: 9781599047706
DOI: 10.4018/978-1-59904-768-3.ch013
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MLA

Ally, Mohamed. "Intelligent Tutoring Systems for Distributed Learning." Agent-Based Tutoring Systems by Cognitive and Affective Modeling, edited by Rosa Maria Viccari, et al., IGI Global, 2008, pp. 292-306. https://doi.org/10.4018/978-1-59904-768-3.ch013

APA

Ally, M. (2008). Intelligent Tutoring Systems for Distributed Learning. In R. Viccari, P. Jaques, & R. Verdin (Eds.), Agent-Based Tutoring Systems by Cognitive and Affective Modeling (pp. 292-306). IGI Global. https://doi.org/10.4018/978-1-59904-768-3.ch013

Chicago

Ally, Mohamed. "Intelligent Tutoring Systems for Distributed Learning." In Agent-Based Tutoring Systems by Cognitive and Affective Modeling, edited by Rosa Maria Viccari, Patricia Augustin Jaques, and Regina Verdin, 292-306. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-768-3.ch013

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Abstract

This chapter provides information on how to design intelligent tutoring systems for distributed learning to cater to individual learner needs and styles. It argues that intelligent tutoring systems must use the expertise that tutors use in a one-to-one teaching situation to build intelligent tutoring systems for distributed learning. Also, the appropriate psychological and educational theories must be used to build the domain module, student model, and pedagogical module. The components of intelligent tutoring systems are described, and the author makes the case that to build effective intelligent tutoring systems, a multidisciplinary team should be involved. Finally, the author identifies trends that are influencing the development of intelligent tutoring systems and suggests areas for future research and development.

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