DSpace Repository

Empirical foundation of central concepts for computer science education

Show simple item record

dc.contributor.author Zendler Andreas
dc.contributor.author Spannagel Christian
dc.date.accessioned 2018-02-05T14:33:53Z
dc.date.available 2018-02-05T14:33:53Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/123456789/7121
dc.description.abstract The design of computer science curricula should rely on central concepts of the discipline rather than on technical short-term developments. Several authors have proposed lists of basic concepts or fundamental ideas in the past. However, these catalogs were based on subjective decisions without any empirical support. This article describes the empirical determination of central concepts for computer science education. Experts of computer science rated 49 concepts regarding four criteria. The cluster analysis of the data revealed the following central concepts:
dc.format application/pdf
dc.language.iso English
dc.publisher Association for Computing Machinery (ACM)
dc.title Empirical foundation of central concepts for computer science education
dc.type journal-article
dc.identifer.doi 10.1145/1362787.1362790
dc.source.volume 8
dc.source.issue 2
dc.source.journal ACM J. Educ. Resour. Comput


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account