A cognitive approach to identifying measurable milestones for programming skill acquisition

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dc.contributor.author Mead, Jerry
dc.contributor.author Gray, Simon
dc.contributor.author Hamer, John
dc.contributor.author James, Richard
dc.contributor.author Sorva, Juha
dc.contributor.author St. Clair, Caroline
dc.contributor.author Thomas, Lynda Ann
dc.date.accessioned 2008-09-26T12:41:28Z
dc.date.available 2008-09-26T12:41:28Z
dc.date.issued 2006-12
dc.identifier.citation Mead , J , Gray , S , Hamer , J , James , R , Sorva , J , St. Clair , C & Thomas , L A 2006 , ' A cognitive approach to identifying measurable milestones for programming skill acquisition ' ACM SIGCSE BULLETIN , vol 38 , no. 4 , pp. 182-194 . , 10.1145/1189136.1189185 en
dc.identifier.other PURE: 77721
dc.identifier.other dspace: 2160/656
dc.identifier.uri http://hdl.handle.net/2160/656
dc.description Mead, J., Gray, S., Hamer, J., James, R., Sorva, J., Clair, C. S., and Thomas, L. 2006. A cognitive approach to identifying measurable milestones for programming skill acquisition. SIGCSE Bull. 38, 4 (Dec. 2006), 182-194. en
dc.description.abstract Traditional approaches to programming education, as exemplified by the typical CS1/CS2 course sequence, have not taken advantage of the long record of psychological and experimental studies on the development of programming skills. These studies indicate a need for a new curricular strategy for developing programming skills and indicate that a cognitive approach would be a promising starting point. This paper first reviews the literature on studies of programming skills, cognition and learning, then within that context reports on a new formal structure, called an anchor graph, that supports curricular design and facilitates the setting of measurable milestones. en
dc.format.extent 13 en
dc.language.iso eng
dc.relation.ispartof ACM SIGCSE BULLETIN en
dc.title A cognitive approach to identifying measurable milestones for programming skill acquisition en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1145/1189136.1189185
dc.contributor.institution Software Engineering en
dc.contributor.institution Department of Computer Science en
dc.description.status Peer reviewed en


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