AI-Based Adaptive Learning Innovation in MAN 2 Kota Palu to Optimize Student Potential

Abstract

This research explores the application of Artificial Intelligence (AI)-based adaptive learning technology in MAN 2 Kota Palu, focusing on optimizing students' academic potential. A qualitative approach is used by collecting data from interviews, observations, and document analysis. The results show that implementing AI -based adaptive learning has improved student motivation and learning outcomes. Teachers report that this technology allows for customizing teaching materials and methods according to students' needs, creating a more personalized and relevant learning experience. Nonetheless, the study also identified several challenges, including limited technology infrastructure, lack of teacher training, and initial resistance from some students to new technologies.
These findings provide valuable insights for education practitioners on innovative strategies for using AI to improve student learning outcomes in MAN 2 Kota Palu. This research also contributes to the understanding of the implementation of AI - based adaptive learning in the context of secondary education in Indonesia. The implications of these findings are important for the future development of educational technology, highlighting the importance of investment in adequate technology infrastructure and comprehensive training programs for teachers.