Artificial Intelligence for Education: Active Learning

José Rafael Abreu Fuentes and Carmen Margarita Marín Gómez

Metaverse Basic and Applied Research, 2024, vol. 3, .131

Abstract: Teaching is going through transformations that force educational actors to make constant updates in order to meet challenges within the scientific community. During this transformation process, digital technologies become relevant with artificial intelligence (AI), despite not being completely free of dangers and ethical controversies, they can provide valuable opportunities to optimize education and learning methods, where the researcher can develop active learning. The rapid adoption and free access to sophisticated language models (LLM in English), through platforms such as ChatGPT, Copilot, Gemini, Claude, or Llama, among others, have raised both enthusiasm and concern in the educational field. From the perspective of Morduchowicz (2023), these models question the validity of traditional evaluation techniques (such as writing an essay, articles, research papers). By offering immediate and well-structured responses, these AI systems could be weakening the development of critical thinking and essential communication skills, such as reading comprehension and the ability to articulate ideas. In this context, this extensive research “Artificial Intelligence for Education: Active Learning” arises with the purpose of understanding its implications, risks, and finally, promoting learning about its use as effective teaching resources as an active resource.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:metave:v:3:y:2024:i::p:.131:id:.131

DOI: 10.56294/mr2024.131

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