Resumen

LEAL, Rafaela Esteves Godinho  y  CALDEIRA, Maria Carolina da Silva. Algorithmic Governmentality and Teaching Knowledge: from Transcription to Digital Didactic Transcreation in University Teaching in a Pandemic Period. e-Curriculum [online]. 2023, vol.21, e61607.  Epub 13-Nov-2023. ISSN 1809-3876.  https://doi.org/10.23925/1809-3876.2023v21e61607.

This paper's objective is to analyze how specific teaching knowledge came about during the Emergency Distance Teaching period to understand the functioning of algorithmic governability in university teaching. The concepts of power, knowledge and government, in their Foulcatian perspective, as theoretica-methodology references and interviews with professors being used as a data collecting source. It is argued that the creation of techno-didactic experience due to these circumstances resulted in the prevention of production of teaching knowledge; allowing the creation of the ignorant master; the functioning of the mechanisms of didactic transposition and digital didactic transcription. Such conditions made the use of digital platforms common in teaching, as answers to the urgency of algorithmic governability for the creation of a Data-oriented Education.

Palabras clave : algorithmic governmentality; higher education teaching; artificial intelligence; teaching knowledge; pandemic.

        · resumen en Español | Portugués     · texto en Portugués     · Portugués ( pdf )