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Article: Predictive validity of measures of the pathfinder scaling algorithm on programming performance: Alternative assessment strategy for programming education

TitlePredictive validity of measures of the pathfinder scaling algorithm on programming performance: Alternative assessment strategy for programming education
Authors
Issue Date2009
PublisherBaywood Publishing Co., Inc.. The Journal's web site is located at http://www.baywood.com/journals/previewjournals.asp?id=0735-6331
Citation
Journal Of Educational Computing Research, 2009, v. 41 n. 2, p. 227-250 How to Cite?
AbstractRecent 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. © 2009, Baywood Publishing Co., Inc.
Persistent Identifierhttp://hdl.handle.net/10722/125511
ISSN
2015 Impact Factor: 0.644
2015 SCImago Journal Rankings: 0.550
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLau, Wen_HK
dc.contributor.authorYuen, Aen_HK
dc.date.accessioned2010-10-31T11:35:34Z-
dc.date.available2010-10-31T11:35:34Z-
dc.date.issued2009en_HK
dc.identifier.citationJournal Of Educational Computing Research, 2009, v. 41 n. 2, p. 227-250en_HK
dc.identifier.issn0735-6331en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125511-
dc.description.abstractRecent 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. © 2009, Baywood Publishing Co., Inc.en_HK
dc.languageengen_HK
dc.publisherBaywood Publishing Co., Inc.. The Journal's web site is located at http://www.baywood.com/journals/previewjournals.asp?id=0735-6331en_HK
dc.relation.ispartofJournal of Educational Computing Researchen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titlePredictive validity of measures of the pathfinder scaling algorithm on programming performance: Alternative assessment strategy for programming educationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0735-6331&volume=41&issue=2&spage=227&epage=250&date=2009&atitle=Predictive+validity+of+measures+of+the+pathfinder+scaling+algorithm+on+programming+performance:+Alternative+assessment+strategy+for+programming+educationen_HK
dc.identifier.emailLau, W: wwflau@hku.hken_HK
dc.identifier.emailYuen, A: hkyuen@hku.hken_HK
dc.identifier.authorityLau, W=rp01723en_HK
dc.identifier.authorityYuen, A=rp00983en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.2190/EC.41.2.een_HK
dc.identifier.scopuseid_2-s2.0-70350680953en_HK
dc.identifier.hkuros179440en_HK
dc.identifier.hkuros216101-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70350680953&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume41en_HK
dc.identifier.issue2en_HK
dc.identifier.spage227en_HK
dc.identifier.epage250en_HK
dc.identifier.isiWOS:000286796100005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLau, W=26648932200en_HK
dc.identifier.scopusauthoridYuen, A=8983762600en_HK

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