GENERATIVE ARTIFICIAL INTELLIGENCE AND ACTIVE LEARNING METHODOLOGIES: POSSIBILITIES FOR MEANINGFUL LEARNING

Abstract

The recent emergence of Generative Artificial Intelligence has produced immediate impacts on education, particularly regarding the reorganization of pedagogical practices and the strengthening of student-centered approaches. In dialogue with active learning methodologies, such as problem-based learning, collaborative learning, and the flipped classroom, generative AI can expand opportunities for engagement, personalization, and meaningful knowledge construction. This chapter discusses how tools such as ChatGPT may be integrated into active learning, not as a replacement for teachers, but as a support resource for conscious pedagogical planning and teacher mediation. Recent studies highlight that such technologies can assist in content design, activity revision, and formative feedback, provided they are used critically and ethically (Saraiva Júnior, 2024). At the same time, meaningful learning depends on student involvement and pedagogical intentionality, as emphasized by Charlot (2005), making technological insertion alone insufficient without mediation. The chapter concludes that articulating generative AI with active methodologies requires teacher education, institutional reflection, and a commitment to humanizing educational practices capable of integrating innovation and critical awareness into everyday schooling.