Literaturnachweis - Detailanzeige
| Autor/in | Armoni, Michal |
|---|---|
| Titel | Reduction in CS: A (Mostly) Quantitative Analysis of Reductive Solutions to Algorithmic Problems |
| Quelle | In: Journal on Educational Resources in Computing, 8 (2009) 4, Artikel 11
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1531-4278 |
| DOI | 10.1145/1482348.1482350 |
| Schlagwörter | Student Attitudes; Problem Solving; Computer Science; Abstract Reasoning; Undergraduate Students; Learning Strategies; Evaluation Methods; Computer Science Education; Information Technology |
| Abstract | 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. (As Provided). |
| Anmerkungen | 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 |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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