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Preprint / Version 1

For a Critical Review of Artificial Intelligence in Education

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DOI:

https://doi.org/10.1590/SciELOPreprints.11450

Keywords:

Technosphere, Artificial Inteligence, Technology, Education, Data

Abstract

This article reflects critically upon the implications of introducing Large Language Models, popularly called Artificial Intelligence, in Brazilian Education. This essay begins with a discussion of how these models are created. It starts with a definition of data and their role in such models, pointing to the myth of its objectivity and how its selection and organisation might lead to ideological and subjective assumptions. The need for human intervention in the training process is also discussed to demythologise the idea that these models are superior and autonomous intelligences, as they are in fact based on statistical training models. The role of the different Artificial Intelligence models in our society is then discussed. The discussion relies on the concepts of technological invisibility and technological singularity, which imply technological assimilation in everyday life over momentary wonder without the necessary criticality. Finally, the article discusses LLMs as part of our techno-social system, emphasising their ideological significance and practical impacts. The final section discusses some paths to be considered if we think about Large Language Models presence in education situations.

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Author Biography

Rodrigo Esteves de Lima-Lopes, State University of Campinas (UNICAMP)

Rodrigo Esteves de Lima Lopes é Livre Docente em Linguagem e Tecnologia, professor associado do Departamento de Linguística Aplicada do IEL/UNICAMP. Líder do grupo de pesquisa MíDiTeS (Mídia, Discurso, Tecnologia e Sociedade) e coordenador do PH₂D (Centro de Pesquisa em Pós-Humanismo e Humanidades Digitais). Suas pesquisas estão voltadas para a Linguística do Corpus e o uso de dados nos estudos da linguagem.

Posted

06/03/2026 — Updated on 03/17/2025

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How to Cite

For a Critical Review of Artificial Intelligence in Education. (2025). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.11450

Section

Linguistic, literature and arts

Funding data

Plaudit

Data statement

  • The research data is contained in the manuscript