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The use of constraint logic programming in the development of adaptive tests

Abdullah, Sophiana Chua and Cooley, Roger (2000) The use of constraint logic programming in the development of adaptive tests. In: Gauthier, Gilles and Frasson, Claude and VanLehn, Kurt, eds. Intelligent Tutoring Systems 5th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, p. 650. ISBN 978-3-540-67655-3. E-ISBN 978-3-540-45108-2. (doi:10.1007/3-540-45108-0_73) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/3-540-45108-0_73

Abstract

This research shows how Constraint Logic Programming can form the basis of a knowledge elicitation tool for the development of adaptive tests. A review of literature reveals that adaptive testing has, in recent years, been used as a student modelling tool in intelligent tutoring systems. Efforts in the construction and delivery of such tests have involved the use of state-space type constructs, such as granularity hierarchies and knowledge spaces, to represent a syllabus. The use of Bayesian probability networks has been proposed as a technique for finding an optimal route through these ”spaces” so as to find the shortest sequence of problems to put to the student being evaluated. The research presented here sets out to use ”expert emulation” as means of performing the same tasks. The aim is to construct an adaptive test in order to model a student’s knowledge, skills and tutorial requirements. The context is the development of such a system to support autonomous revision for examination in a particular domain in elementary mathematics.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-45108-0_73
Additional information: Meeting Abstract
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing
Depositing User: Suzanne Duffy
Date Deposited: 13 Mar 2009 15:32 UTC
Last Modified: 31 May 2019 08:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/16039 (The current URI for this page, for reference purposes)
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