Resumen
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.
Idioma original | Inglés |
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Título de la publicación alojada | SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education |
Editorial | Association for Computing Machinery, Inc |
Páginas | 441-446 |
Número de páginas | 6 |
ISBN (versión digital) | 9781450351034 |
DOI | |
Estado | Publicada - 21 feb. 2018 |
Evento | 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018 - Baltimore, Estados Unidos Duración: 21 feb. 2018 → 24 feb. 2018 |
Serie de la publicación
Nombre | SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education |
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Volumen | 2018-January |
Conferencia
Conferencia | 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018 |
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País/Territorio | Estados Unidos |
Ciudad | Baltimore |
Período | 21/02/18 → 24/02/18 |
Nota bibliográfica
Publisher Copyright:© 2018 Association for Computing Machinery.