The paralysis of teacher knowledge: how artificial intelligence reinforces primary experience and constrains creativity in the context of datafication
DOI:
https://doi.org/10.5212/PraxEduc.v.21.26167.030Abstract
Drawing on Gaston Bachelard’s epistemology, this work analyzes the use of Generative Artificial Intelligence (GenAI) in education. Rather than regarding this technology as a neutral tool, it understands it as a probabilistic algorithmic rationality that operates through implicit reasoning and statistical prediction, thereby automating epistemological obstacles. It argues that, in the educational field, the challenge lies in the interaction with this technology, often undertaken uncritically, because it tends to reinforce primary experiences, such as personal opinions, as well as aspects related to animism and substantialism. Such obstacles end up being internalized and hinder pedagogical innovation, even bringing new initiatives to a standstill. Furthermore, this dynamic contributes to a logic of datafication, in which social interactions and teaching and learning processes are converted into numerical data for analysis and management. This scenario undermines teachers’ work, restricts their pedagogical autonomy, and reduces educational activities to technical execution.
Keywords: Generative Artificial Intelligence. Epistemological and didactic obstacles. Algorithmic rationality.
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