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Developing a Computer Science-specific Learning Taxonomy

Fuller, Ursula, Johnson, Colin G., Ahoniemi, Tuukka, Cukierman, Diana, Hernán-Losada, Isidoro, Jackova, Jana, Lahtinen, Essi, Lewis, Tracy L., McGee Thompson, Donna, Riesdel, Charles, and others. (2007) Developing a Computer Science-specific Learning Taxonomy. ACM SIGCSE Bulletin, 39 (4). pp. 152-170. ISSN 0097-8418. (doi:10.1145/1345375.1345438)

Abstract

Bloom's taxonomy of the cognitive domain and the SOLO taxonomy are being increasingly widely used in the design and assessment of courses, but there are some drawbacks to their use in computer science. This paper reviews the literature on educational taxonomies and their use in computer science education, identifies some of the problems that arise, proposes a new taxonomy and discusses how this can be used in application-oriented courses such as programming.

Item Type: Article
DOI/Identification number: 10.1145/1345375.1345438
Uncontrolled keywords: Computer science education, taxonomies of learning, curricula, assessment, credit transfer, benchmarking
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computing Education Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:09 UTC
Last Modified: 28 May 2019 15:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/23997 (The current URI for this page, for reference purposes)
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