Resumen

GARCIA, Léo Manoel Lopes da Silva; LARA, Daiany Francisca  y  GOMES, Raquel Salcedo. BLOOM AND SOLO TAXONOMIES IN PLANNING TEACHING SKILLS AND COMPETENCIES IN MACHINE LEARNING. Regae: Rev. Gest. Aval. Educ. [online]. 2023, vol.12, n.21, e71873.  Epub 13-Dic-2023. ISSN 2318-1338.  https://doi.org/10.5902/2318133871873.

There is an effort to align an apparatus of theories, resources and methodologies to promote an effective teaching-learning process. However, this is not a trivial task, and may lead to misalignment between the expected, desired and results obtained. This study seeks to investigate the use of Bloom's and Solo's educational taxonomies to support the planning of offering the machine learning curricular unit in a bachelor's degree in Computer Science. The educational objectives to be achi eved for this unit are structured within these taxonomies and the result is evaluated by professors of the discipline at the institution where the study is carried out. Although the taxonomies developed were positively evaluated, difficulties in their use were highlighted.

Palabras clave : Bloom's taxonomy; Solo taxonomy; teaching planning.

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