A Novel Yardstick of Learning Time Spent in a Programming Language by Unpacking Bloom’s Taxonomy

Alcides Bernardo Tello, Ying Tien Wu, Tom Perry, Xu Yu-Pei

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


Instead of testing students, measuring precisely the total learning time spent by a student is of preponderant importance. Therefore, the goal of this article is to demonstrate the estimation of the time each student requires in mastering any topic content, until they become an expert. We have developed empirical evidence for this estimate based on Bloom’s taxonomy in a concrete case study at an engineering school by teaching loops in Python. Our result has shown that, on average, 4.98 hours are demanded in the “loop” lesson to reach the top level of Bloom’s taxonomy immediately after a half-hour lecture. Supported by Bloom’s taxonomy and the forgetting curve theory, the results of this study suggest that every student needs a different amount of time to master a topic via immediate post-lecture review, climbing the six levels of the aforementioned taxonomy; all pupils can learn and master anything at high levels but at very different rates. Schools should also readjust study plans to concentrate more time on level three and four of the taxonomy which demands the doing, designing, building and developing a particular domain of knowledge.

Idioma originalInglés
Título de la publicación alojadaIntelligent Computing - Proceedings of the 2020 Computing Conference
EditoresKohei Arai, Supriya Kapoor, Rahul Bhatia
Número de páginas10
ISBN (versión impresa)9783030522483
EstadoPublicada - 2020
Publicado de forma externa
EventoScience and Information Conference, SAI 2020 - London, Reino Unido
Duración: 16 jul. 202017 jul. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1228 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365


ConferenciaScience and Information Conference, SAI 2020
País/TerritorioReino Unido


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