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ERIC Number: EJ890202
Record Type: Journal
Publication Date: 2009-Jan
Pages: 0
Abstractor: As Provided
Reference Count: 33
ISBN: N/A
ISSN: ISSN-1531-4278
Reduction in CS: A (Mostly) Quantitative Analysis of Reductive Solutions to Algorithmic Problems
Armoni, Michal
Journal on Educational Resources in Computing, v8 n4 Article 11 Jan 2009
Reduction is a problem-solving strategy, relevant to various areas of computer science, and strongly connected to abstraction: a reductive solution necessitates establishing a connection among problems that may seem totally disconnected at first sight, and abstracts the solution to the reduced-to problem by encapsulating it as a black box. The study described in this article continues a previous, qualitative study that examined the ways undergraduate computer science students perceive, experience, and use reduction as a problem-solving strategy. The current study examines the same issue, but in the context of a larger population, using also quantitative analysis, and focusing on algorithmic problems. The findings indicate difficulties students have with the abstract characteristics of reduction and with acknowledging reduction as a general problem-solving strategy.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A