The Synergy of Artificial Intelligence and Education: New Perspectives of an Innovative Artificial Tutoring in School Settings

Abstract

The integration of Artificial Intelligence (AI) in education has ushered in a new era of adaptive and personalized learning, improving instructional methodologies and supporting diverse learner needs. AI-powered Intelligent Tutoring Systems (ITS), such as MetaTutor and nStudy, exemplify this change. MetaTutor utilizes hypermedia and real-time data tracking, including facial recognition, physiological sensors, and eye-tracking technology, to adapt instruction in complex STEM subjects (Azevedo et al., 2012). Similarly, nStudy (Winne, 2019) facilitates self-regulated learning through personalized digital tools for tasks such as online research, collaborative projects, and academic writing. These systems demonstrate the potential of AI to optimize engagement, further autonomy, and improve learning outcomes. Through tailored instruction to individual learning styles, cognitive abilities, and linguistic backgrounds, ITS can bridge learning gaps and support students with disabilities, increasing accessibility in education. However, ethical considerations regarding algorithmic bias, data privacy, and equitable access need to be addressed. This chapter explores how AI-driven tutoring technologies redefine modern education, balancing innovation with ethical responsibility to create more inclusive and successful learning experiences.