Developing a computer science-specific learning taxonomy

Ursula Fuller; Colin G Johnson; Tuukka Ahomiemi; Diana Cukierman; Isidoro Hernán-Losada; Jana Jackova; Essi Lahtinen; Tracy L  Lewis; Donna McGee Thompson; Charles Riedesel; Errol Thompson

doi:10.1145/1345375.1345438

Developing a computer science-specific learning taxonomy

Ursula Fuller, Colin G Johnson, Tuukka Ahomiemi, Diana Cukierman, Isidoro Hernán-Losada, Jana Jackova, Essi Lahtinen, Tracy L Lewis, Donna McGee Thompson, Charles Riedesel, Errol Thompson

Research output: Contribution to journal › Article

Abstract

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.

Original language	English
Pages (from-to)	152
Number of pages	170
Journal	SIGCSE Bulletin Inroads
Volume	39
Issue number	4
DOIs	https://doi.org/10.1145/1345375.1345438
Publication status	Published - 1 Dec 2007
Event	ITiCSE-WGR '07 Working group reports on ITiCSE on Innovation and technology in computer science education - University of Dundee, Dundee, United Kingdom Duration: 23 Jun 2007 → 27 Jun 2007

Keywords

computer science education
taxonomies of learning
curricula
assessment
credit transfer
benchmarking

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10.1145/1345375.1345438

https://www.cs.kent.ac.uk/pubs/2007/2798/content.pdf

Cite this

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title = "Developing a computer science-specific learning taxonomy",

abstract = "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.",

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T1 - Developing a computer science-specific learning taxonomy

AU - Fuller, Ursula

AU - Johnson, Colin G

AU - Ahomiemi, Tuukka

AU - Cukierman, Diana

AU - Hernán-Losada, Isidoro

AU - Jackova, Jana

AU - Lahtinen, Essi

AU - Lewis, Tracy L

AU - McGee Thompson, Donna

AU - Riedesel, Charles

AU - Thompson, Errol

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

KW - computer science education

KW - taxonomies of learning

KW - curricula

KW - assessment

KW - credit transfer

KW - benchmarking

UR - https://dl.acm.org/citation.cfm?doid=1345375.1345438

U2 - 10.1145/1345375.1345438

DO - 10.1145/1345375.1345438

M3 - Article

SN - 1096-3936

VL - 39

SP - 152

JO - SIGCSE Bulletin Inroads

JF - SIGCSE Bulletin Inroads

IS - 4

T2 - ITiCSE-WGR '07 Working group reports on ITiCSE on Innovation and technology in computer science education

Y2 - 23 June 2007 through 27 June 2007

ER -

Developing a computer science-specific learning taxonomy

Abstract

Keywords

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