Inteligencia artificial y su incidencia en la estrategia metodológica de aprendizaje basado en investigación
Wilson Iván Piedra-Castro, Erika Silvana Burbano-Buñay, Jhonny Junior Tamayo-Verdezoto, Elvin Fray Moreira-Alcívar
Abstract
This study examines the influence of artificial intelligence (AI) on inquiry-based learning (IBL), highlighting both its potential benefits and associated challenges. Using a qualitative literature review approach, recent academic articles were analyzed to assess how AI is transforming ABI methodological strategies. The results show that AI can significantly personalize learning, automate administrative and research tasks, and improve feedback and evaluation processes. However, these advantages come with substantial challenges, such as technological limitations, teacher training needs, and profound ethical and social issues. The discussion highlights how AI is redefining roles in education, changing the role of the teacher from a transmitter of knowledge to a facilitator of learning, and how this requires an adaptive and reflective pedagogical approach. In addition, the need to address the ethical implications of AI to ensure that its integration fosters an education that is equitable and respectful of students' privacy and autonomy is highlighted. It is emphasized that, although AI offers remarkable opportunities to enhance ABI, its implementation must be meticulously managed to optimize benefits and minimize risks.