Implementation of Data-Based Management in Improving the Effectiveness of AI-Assisted Learning in Senior High School

This study aims to analyze the implementation of data-based management in improving the effectiveness of AI-assisted learning in Senior High School. The unit of analysis in this study is a school that implements a data-based management system in AI-assisted learning. The research design used is a qualitative study with a case study approach. The research data sources consist of school principals, teachers, and students involved in the implementation of AI-assisted learning. Data collection techniques include in-depth interviews, participatory observation, and analysis of school documents. The data obtained was analyzed using thematic analysis techniques to identify patterns and relationships between concepts. Key findings show that the implementation of data-driven management can improve learning personalization, optimization of teaching strategies, and the effectiveness of the use of AI in the learning process. The main contribution of this research is to provide empirical insights into the role of data-driven management in supporting AI-assisted learning innovations at the secondary education level.