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ERIC Number: EJ857833
Record Type: Journal
Publication Date: 2009
Pages: 24
Abstractor: As Provided
Reference Count: 40
ISSN: ISSN-0735-6331
Predictive Validity of Measures of the Pathfinder Scaling Algorithm on Programming Performance: Alternative Assessment Strategy for Programming Education
Lau, Wilfred W. F.; Yuen, Allan H. K.
Journal of Educational Computing Research, v41 n2 p227-250 2009
Recent years have seen a shift in focus from assessment of learning to assessment for learning and the emergence of alternative assessment methods. However, the reliability and validity of these methods as assessment tools are still questionable. In this article, we investigated the predictive validity of measures of the Pathfinder Scaling Algorithm (PSA), a concept mapping assessment utility, using the referent-free and referent-based approaches on programming performance of a group of secondary school students. Results suggest that the predictive validity of both approaches was more or less the same. Among the three similarity measures applied for the referent-based approach, PRX appeared to be the most predictive one whereas PFC and GTD were similar in terms of predictive power. The correlations between the referent-free measure C and the three previously mentioned referent-based measures with the programming performance measures were not as strong as reported in the literature. In the light of these results, we argue that there is a need to reform assessment in programming education. (Contains 2 figures and 5 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Secondary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Hong Kong