Los riesgos de la IA dialógica en la educación superior: afectaciones cognitivas y en la capacidad de lecto-escritura
Dialogic Artificial Intelligence (DAI) or communicative AI within Large Language Models (LLMs) is rapidly expanding across higher education and academic workflows in both teaching and research. The adoption of DAI is being driven by the pressure to enhance productivity and automate academic practices. This paper discusses the primary risks that the intensive use of DAI poses to human cognitive capacities, information biases, and the erosion of literacy, critical thinking, argumentation, and academic discourse sk…
Heavy use of conversational AI in university teaching and research may weaken students' and scholars' cognition, reading and writing, argumentation skills, and blur authorship and plagiarism boundaries.
The source frames the transformation as something DAI 'could' cause, so the cognitive and literacy harms are possibilities discussed conceptually rather than measured outcomes.
Evidence
- Peer-reviewedSCIO: Revista de Filosofía2026-10-20
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Truvace Impact Record TRV-2026-2145, v1: “Los riesgos de la IA dialógica en la educación superior: afectaciones cognitivas y en la capacidad de lecto-escritura.” Truvace, 2026-10-22. /record/TRV-2026-2145 (accessed at citation time). sha256 83e58f1435804b8f…
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