Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.641173
Title: The use of belief revision to model contradictions and entrenched misconceptions
Author: Aziz, Normaziah A.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1996
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Abstract:
The goal of this research is to illustrate the potential of belief revision in a tutoring system. The application is in a domain where contradictions arise when learners commit errors, and where misconceptions leading to these errors are deeply entrenched in the learners' reasoning process. We show how a belief revision system which employs the notion of epistemic entrenchment in resolving conflict can be useful in modelling learners and for remediation. Our particular focus is on: 1. the domain of translating simple relational algebra word problems to algebraic equations; 2. misconceptions related to the reversal error i.e. formulation of a reversed equation; 3. learner being persistent in holding the misconceptions which are referred to as the learner's entrenched misconceptions. Our work also offers a possible learner modelling technique for contradictions and entrenched misconceptions - diagnosing through contradiction of beliefs and assisting the remediation process by using the beliefs and justifications involved when resolving the contradictions diagnosed. We illustrate such investigations in TRAPS (Translating Relational Algebraic Problems System). TRAPS, a prototype computer-based tutoring system has been developed with a belief revision system embedded in its learner model. The belief revision system assists TRAPS in modelling and mending a learner's misconceptions. It also helps TRAPS in making overall observations of the learner's performance.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.641173  DOI: Not available
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