A Smart Conflict Resolution Framework for Higher Education Tutoring Using AI

Abstract

This study presents a smart framework for analyzing academic tutoring processes in higher education through the use of artificial intelligence (AI). As universities increasingly adopt open and inclusive educational practices, they are integrating AI-powered tools into their tutoring strategies, emphasizing collaboration as a core principle. Consequently, there is a growing need for intelligent systems that can detect interpersonal or academic conflicts early in the tutor-student relationship. This work combines a conceptual and technical review of AI-supported tutoring environments and explores how such technologies can enhance the organization of tutoring sessions. It promotes a broad range of open applications that support transparency, inclusion, creativity, innovation, and collaboration in academic mentoring. The paper introduces a conceptual framework while also exploring the transformative potential of open educational practices in academic tutoring contexts. The findings suggest that AI not only enables more effective conflict resolution but also enhances the overall quality of the educational process, encourages deeper learning, and provides valuable insights for institutional decision-making. This proposal contributes to rethinking academic tutoring through a more human-centered perspective, supported by technology but always focused on the individual and their personal development.