THE EVOLUTION OF CRITICAL QUESTIONING IN DIALOGIC PROCESSES WITH AI: A STUDY IN A UNIVERSITY CONTEXT
DOI:
https://doi.org/10.1590/SciELOPreprints.9566Keywords:
AI Education, AI-student interaction, Qualitative research, Critical ThinkingAbstract
This article presents an investigation on the evolution of critical questioning occurring in a dialogic relationship between artificial intelligence (AI) and a group of students in a curricular unit of a higher education course in Educational Sciences. Starting from the students' class records, it attempts to understand the evolution of critical thinking in the context of formal education, using a structure with five levels of questions: General and Defining, Specific, Applied, Integrative, and Critical Engagement, as outlined by theorists Elder and Paul (2002), Facione (2015), Nosich (2009), and Browne and Keeley (2007). The results indicate the presence of questioning patterns centered on levels four and five, that is, in the use of Integrative and Critical Engagement questions, resulting from contextualized discussions. The students' interaction with AI allowed them to observe: the diversity of questioning levels, the progression of critical thinking, areas for improvement in each work group, encouragement of reflexivity and metacognition, engagement with complex concepts, visualization of practical application of concepts, and expansion of interdisciplinary thinking.
This study contributes to the literature on education and technology, offering insights on how to structure effective dialogic interactions between students and AI systems.
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Copyright (c) 2024 Paulo Brazão, Luís Tinoca

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