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Bloom's taxonomy for CS assessment

Published: 01 January 2008 Publication History

Abstract

Bloom's Taxonomy is difficult to apply consistently to assessment tasks in introductory programming courses. The Bloom taxonomy is a valuable tool that could enable analysis and discussion of programming assessment if it could be interpreted consistently. We discuss each of the Bloom classification categories and provide a consistent interpretation with concrete exemplars that will allow computer science educators to utilise Bloom's Taxonomy for programming assessment. Using Bloom's Taxonomy to help design examinations could greatly improve the quality of assessment in introductory programming courses.

References

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Abran, A., Moore, J., Bourque, P., DuPuis, R. and Tripp, L. (2004) Guide to the Software Engineering Body of Knowledge - 2004 Version SWEBOK®, Los Alamitos, CA, IEEE-CS - Professional Practices Committee.
[2]
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J. and Wittrock, M. C. (eds.) (2001). A taxonomy for learning and teaching and assessing: A revision of Bloom's taxonomy of educational objectives. Addison Wesley Longman.
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Biggs, J. B. and Collis, K. F. (1982) Evaluating the quality of learning: The SOLO taxonomy (Structure of the Observed Learning Outcome). New York, Academic Press.
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Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H. and Krathwohl, D. R. (1956) Taxonomy of educational objectives Handbook 1: cognitive domain. London, Longman Group Ltd.
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Johnson, C. G. and Fuller, U. (2006) Is Bloom's taxonomy appropriate for computer science. Berglund, A. ed. 6th Baltic Sea Conference on Computing Education Research (Koli Calling 2006), Koli National Park, Finland, 115--118.
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Lister, R., Adams, E. S., Fitzgerald, S., Fone, W., Hamer, J., Lindholm, M., McCartney, R., Moström, J. E., Sanders, K., Seppälä, O., Simon, B. and Thomas, L. (2004) A multi-national study of reading and tracing skills in novice programmers. Inroads - The SIGCSE Bulletin, 36 (4). 119--150.
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Lister, R. and Leaney, J. Introductory programming, criterion-referencing (2003) SIGCSE '03: Proceedings of the 34th SIGCSE technical symposium on Computer science education, 143--147, ACM Press.
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Oliver, D., Dobele, T., Greber, M. and Roberts, T. (2004), This course has a Bloom Rating of 3.9. in Proceedings of the sixth conference on Australasian computing education - Volume 30, Dunedin, New Zealand, 227--231, Australian Computer Society Inc.
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Scott, T. (2003) Bloom's taxonomy applied to testing in computer science classes. Journal of Computing in Small Colleges, 19 (1). 267--274.
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Shneider, E. and Gladkikh, O. (2006) Designing questioning strategies for information technology courses. Mann, S. and Bridgeman, N. eds. The 19th Annual Conference of the National Advisory Committee on Computing Qualifications: Preparing for the Future --- Capitalising on IT, Wellington, 243--248, National Advisory Committee on Computing Qualifications.
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Whalley, J., Lister, R., Thompson, E., Clear, T., Robbins, P., Kumar, A. and Prasard, C. (2006), An Australasian study of reading and comprehension skills in novice programmers, using the Bloom and SOLO taxonomies. in Eighth Australasian Computing Education Conference (ACE2006), Hobart, Tasmania, Australia, CRIPT, 52, 243--252., Australian Computer Society Inc.

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  • (2024)What Learning Strategies are Used by Programming Students? A Qualitative Study Grounded on the Self-regulation of Learning TheoryACM Transactions on Computing Education10.1145/363572024:1(1-26)Online publication date: 19-Feb-2024
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      cover image ACM Conferences
      ACE '08: Proceedings of the tenth conference on Australasian computing education - Volume 78
      January 2008
      197 pages
      ISBN:9781920682590

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      Australian Computer Society, Inc.

      Australia

      Publication History

      Published: 01 January 2008

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      Author Tags

      1. Bloom's taxonomy
      2. multi-institutional
      3. novice programmers

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      ACE '08
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      ACE '08: Australasian computing education
      January 1, 2008
      NSW, Wollongong, Australia

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      ACE '08 Paper Acceptance Rate 18 of 39 submissions, 46%;
      Overall Acceptance Rate 161 of 359 submissions, 45%

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      View all
      • (2024)What Learning Strategies are Used by Programming Students? A Qualitative Study Grounded on the Self-regulation of Learning TheoryACM Transactions on Computing Education10.1145/363572024:1(1-26)Online publication date: 19-Feb-2024
      • (2024)Investigating Students' Usage of Self-regulation of Learning Scaffoldings in a Computer-based Programming Learning EnvironmentProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630885(1244-1250)Online publication date: 7-Mar-2024
      • (2023)Studied Questions in Data Structures and Algorithms AssessmentsProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588843(250-256)Online publication date: 29-Jun-2023
      • (2022)A Bibliometrics Analysis of Australasian Computing Education Conference ProceedingsProceedings of the 24th Australasian Computing Education Conference10.1145/3511861.3511862(1-9)Online publication date: 14-Feb-2022
      • (2021)Automated Classification of Computing Education Questions using Bloom’s TaxonomyProceedings of the 23rd Australasian Computing Education Conference10.1145/3441636.3442305(58-65)Online publication date: 2-Feb-2021
      • (2021)Examining the Exams: Bloom and Database Modelling and DesignProceedings of the 23rd Australasian Computing Education Conference10.1145/3441636.3442301(21-29)Online publication date: 2-Feb-2021
      • (2021)Toward A Framework for Formative Assessment of Conceptual Learning in K-12 Computer Science ClassroomsProceedings of the 52nd ACM Technical Symposium on Computer Science Education10.1145/3408877.3432460(31-37)Online publication date: 3-Mar-2021
      • (2020)Towards a Competence Model for the Novice Programmer Using Bloom's Revised Taxonomy - An Empirical ApproachProceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3341525.3387419(459-465)Online publication date: 15-Jun-2020
      • (2020)Achievement Goal Orientation Profiles and Performance in a Programming MOOCProceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3341525.3387398(411-417)Online publication date: 15-Jun-2020
      • (2020)CS 0Proceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366795(227-233)Online publication date: 26-Feb-2020
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