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ERIC Number: EJ913340
Record Type: Journal
Publication Date: 2009
Pages: 20
Abstractor: As Provided
Reference Count: 27
ISBN: N/A
ISSN: ISSN-1560-4292
Using Weighted Constraints to Diagnose Errors in Logic Programming--The Case of an Ill-Defined Domain
Le, Nguyen-Thinh; Menzel, Wolfgang
International Journal of Artificial Intelligence in Education, v19 n4 p381-400 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution strategies, programming patterns and error diagnoses can be ranked and selected. Since diagnostic accuracy becomes an increasingly important issue, we present an evaluation methodology that measures diagnostic accuracy in terms of (1) the ability to identify the actual solution strategy, and (2) the reliability of error diagnoses. The evaluation results confirm that the system is able to analyse a major share of real student solutions, providing highly informative and precise feedback. (Contains 2 footnotes, 8 tables, and 3 figures.)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A