Reductive thinking in a quantitative perspective: the case of the algorithm course

Authors:
Michal Armoni
Affiliations:
Weizmann Institute of Science, Rehovot, Israel
Venue:
Proceedings of the 13th annual conference on Innovation and technology in computer science education
Year:
2008

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Abstract

The research described in this paper continues a previous, qualitative (mostly interview-based) 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 quantitative analysis methods, and focusing on algorithmic problems.