Intersezione tra intelligenza artificiale generativa e educazione: un’ipotesi

Abstract

INTERSECTION BETWEEN GENERATIVE ARTIFICIAL INTELLIGENCE AND EDUCATION: A HYPHOTHESIS Abstract This study explores the impact of integrating Generative Artificial Intelligence (GenAI) into adaptive and personalized learning environments, focusing on its diverse applications in the field of education. It begins with an examination of the evolution of GenAI models and frameworks, establishing selection criteria to curate case studies that showcase the applications of GenAI in education. The analysis of these case studies highlights the tangible benefits of integrating GenAI, such as increased student engagement, improved test scores, and accelerated skill development. Ethical, technical, and pedagogical challenges are also identified, emphasizing the need for careful collaboration between educators and computer science experts. The findings underscore the potential of GenAI to revolutionize the field of education. By addressing technological challenges and ethical concerns, and embracing human-centered approaches, educators and computer science experts can leverage GenAI to create innovative and inclusive learning environments. Finally, the study also highlights the importance of socio-emotional learning and personalization in the evolutionary process that will revolutionize the future of education.

Keywords

• education
• generative ai
• personalized learning
• socio-emotional learning
• student engagement
• apprendimento personalizzato
• apprendimento socio-emotivo
• coinvolgimento degli studenti
• ia generativa
• istruzione