A systematic review of the use of Bloom's taxonomy in computer science education

Susana Masapanta-Carrión, J. Ángel Velázquez-Iturbide

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

54 Citas (Scopus)

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 originalInglés
Título de la publicación alojadaSIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education
EditorialAssociation for Computing Machinery, Inc
Páginas441-446
Número de páginas6
ISBN (versión digital)9781450351034
DOI
EstadoPublicada - 21 feb. 2018
Evento49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018 - Baltimore, Estados Unidos
Duración: 21 feb. 201824 feb. 2018

Serie de la publicación

NombreSIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education
Volumen2018-January

Conferencia

Conferencia49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018
País/TerritorioEstados Unidos
CiudadBaltimore
Período21/02/1824/02/18

Nota bibliográfica

Publisher Copyright:
© 2018 Association for Computing Machinery.

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