Future challenges in intelligent tutoring systems: a framework

Intelligent Tutoring Systems (ITS) provide the benefits of one-on-one instruction in an automatic way and cost effectively, keeping in mind their multidisciplinary nature. The challenge remains on transporting to computers the expertise, skills and mode of action of the human tutor, overcoming space, time, socio-economical and environmental restrictions. ITS appear as a form of deployment of this issue and have been object of an increasing research. This paper aims to establish some characteristics, properties and functions that an ITS should provide, and the possible contributions that the different fields of research can make, proposing a multi-domain and multidisciplinary framework to address the research in this field. The framework incorporates a knowledge base where data and knowledge related to the problem are maintained and a model base related to student, teaching and environmental issues together with pedagogical perspectives.

[1]  Kinshuk.  Does intelligent tutoring have future! , 2002, International Conference on Computers in Education, 2002. Proceedings..

[2]  Declan Kelly.  A Framework for using Multiple Intelligences in an ITS , 2003 .

[3]  John Self,et al.  The defining characteristics of intelligent tutoring systems research: ITSs care, precisely , 1998 .

[4]  Chen-Lin C. Kulik,et al.  Educational Outcomes of Tutoring: A Meta-analysis of Findings , 1982 .

[5]  Peter Brusilovsky,et al.  Adaptive hypermedia: from systems to framework , 1999, CSUR.

[6]  Etienne Wenger,et al.  Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge , 1987 .

[7]  Ashok Patel.  A Conceptual Framework for Internet based Intelligent Tutoring Systems , 1997 .

[8]  Kinshuk.  A Conceptual Framework for Internet based Intelligent Tutoring Systems , 1997 .

[9]  J. R. Hartley,et al.  Towards more intelligent teaching systems , 1973 .

[10]  Vincent Aleven,et al.  Limitations of Student Control: Do Students Know When They Need Help? , 2000, Intelligent Tutoring Systems.

[11]  Jaime R. Carbonell,et al.  AI in CAI : An artificial intelligence approach to computer-assisted instruction , 1970 .

[12]  Leo Gugerty.  Non-diagnostic intelligent tutoring systems: Teaching without student models , 1997 .

[13]  John A. Self,et al.  Student Models in Computer-Aided Instruction , 1974, Int. J. Man Mach. Stud..

[14]  Ashok Patel,et al.  Intelligent Tutoring Systems: Confluence of Information Science and Cognitive Science , 2001 .