Abstract
Bloom's taxonomy is a model that allows characterizing students' learning achievements. It is frequently used in computer science education (CSE), but its use is not straightforward. We present a systematic review conducted to know actual use of the taxonomy in CSE. We found that it was mostly used in programming education and to assess students' performance. A more relevant contribution is a classification of authors' difficulties. In particular, the most often reported difficulty is determining the level of the taxonomy where an assessment task can be classified. In addition, we present authors' hypotheses about possible causes of the difficulties and the solutions they adopted.
Original language | English |
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Title of host publication | SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education |
Publisher | Association for Computing Machinery, Inc |
Pages | 441-446 |
Number of pages | 6 |
ISBN (Electronic) | 9781450351034 |
DOIs | |
State | Published - 21 Feb 2018 |
Event | 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018 - Baltimore, United States Duration: 21 Feb 2018 → 24 Feb 2018 |
Publication series
Name | SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education |
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Volume | 2018-January |
Conference
Conference | 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018 |
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Country/Territory | United States |
City | Baltimore |
Period | 21/02/18 → 24/02/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computing Machinery.
Funding
This work was supported by research grants TIN2015-66731-C2-1-R of the Ministry of Economy and Competitiveness, and S2013/ICE-2715 of the Regional Government of Madrid.
Funders | Funder number |
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Ministerio de Economía y Competitividad | S2013/ICE-2715, TIN2015-66731-C2-1-R |
Keywords
- Bloom's taxonomy
- Computer science education
- Difficulties