School-Based Management in Technology Integration for Language Instruction in Junior High Schools

This study aims to analyze the role of school-based management in the integration of educational technology with ChatGPT to support instructional strategies in language learning for junior high school students. This study uses a qualitative approach with a case study method, where data is collected through in-depth interviews with principals, teachers, and students, as well as observation of learning activities and analysis of school policy documents. The research subjects were selected purposively to obtain relevant information regarding the implementation of technology-based instructional strategies. Data analysis was carried out by data reduction techniques, data presentation, and conclusion drawing to identify patterns in school management that support or hinder the integration of technology in language learning. The results of the study show that the success of technology integration in language learning depends on systematic school management policies, teacher readiness, and infrastructure support. This research contributes to providing insight for schools in designing more effective technology-based policies to improve the quality of language learning at the junior high school level.