Multi-level navigation for curriculum planning in intelligent tutoring systems

Liu, Yaowei and Lai, Wei and Keong, Wong Kin (1997) Multi-level navigation for curriculum planning in intelligent tutoring systems. In: 1st IEEE International Conference on Intelligent Processing Systems (ICIPS 1997), 28-31 Oct 1997, Beijing, China.

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Abstract

This paper presents and investigates the application of multi-level planning techniques, together with meta and micro level knowledge architecture model, in building the domain knowledge, planning and navigate the curriculum of an intelligent tutoring system (ITS). Curriculum issues have been important to ITS. In order to truly individualize instruction, ITS must be able to reason about the curriculum, understand its implications, and be able to dynamically redesign the curriculum. This leads to the dramatic increase in the information an planner handles. The multi-level planning, made possible by the meta and micro level knowledge model, efficiently manages large domain knowledge base, in that it largely eases the planning task both in complexity and in storage.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright 1997 by the Institute of Electrical and Electronics Engineers, Inc.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 30 Nov 2007 11:55
Last Modified: 11 Jun 2014 03:18
Uncontrolled Keywords: intelligent tutoring systems; ITS; multi-level navigations; computer aided instruction
Fields of Research : 08 Information and Computing Sciences > 0803 Computer Software > 080302 Computer System Architecture
13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
08 Information and Computing Sciences > 0806 Information Systems > 080608 Information Systems Development Methodologies
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/ICIPS.1997.669167
URI: http://eprints.usq.edu.au/id/eprint/10307

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