ERIC Number: EJ890197
Record Type: Journal
Publication Date: 2008-Jun
Pages: 0
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1531-4278
EISSN: N/A
Available Date: N/A
Empirical Foundation of Central Concepts for Computer Science Education
Zendler, Andreas; Spannagel, Christian
Journal on Educational Resources in Computing, v8 n2 Article 6 Jun 2008
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: "problem, data, computer, test, algorithm, process, system, information, language, communication, software, program, computation, structure," and "model."
Descriptors: Computer Science Education, Computers, Multivariate Analysis, Computer Science, Science Education, Curriculum, Models
Association for Computing Machinery. 2 Penn Plaza Suite 701, New York, NY 10121. Tel: 800-342-6626; Tel: 212-626-0500; Fax: 212-944-1318; e-mail: acmhelp@acm.org; Web site: http://www.acm.org
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A

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