Title

Learner agents as student modeling: Design and analysis

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Proceedings of the IASTED International Conference on Computers and Advanced Technology in Education

First Page

333

Last Page

338

Publication Date

12-1-2003

Abstract

Intelligent Tutoring Systems (ITSs) are computer programs that provide individualized learning according to the needs and learning behavior of learners. Most implementations of these systems are fixed and restricted to a specific domain or a programming concept (e.g. [1]). If a learner is exposed to a tutoring system, his profile (e.g. performance, misconceptions) is built based on how the tutor sees and represents the learner during the learning activity. Moreover, the learner's profile is retained in the same tutoring system. If the learner studies a different domain, another profile is built from scratch. This, in turn, limits the use of learner's profile to just one tutoring system. Consequently, evaluation of learner's performance is not carried over in subsequent learning activities. In this paper, we propose the use of a learner agent as a student model of an ITS. The paper discusses how the learner's profile is built and store in the learner agent.

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Disciplines

Computer Sciences | Software Engineering

Keywords

Intelligent tutoring systems

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