Implementing AI-Based Educational Management to Improve Personalized Philosophy Learning in Higher Education in Jakarta

This study aims to examine the application of artificial intelligence (AI)--based education management in improving personalized philosophy learning. This study uses a qualitative approach with case study methods in several educational institutions that apply artificial intelligence-based educational technology. Data were collected through in-depth interviews with educators, focus group interviews with students, and observations on the implementation of artificial intelligence systems in philosophy learning. Data analysis was carried out using thematic analysis techniques to identify patterns of the use of educational technology in facilitating more personalized learning. The results of the study show that artificial intelligence-based education management can increase student involvement and deeper understanding of philosophy materials. The contribution of this research is to provide insight into how artificial intelligence technology can optimize the philosophy learning process with a more personalized and effective approach.