Survei Penerapan Differentiated Instruction di Era AI

This dataset contains survey responses on the implementation of Differentiated Instruction (DI) in the era of Artificial Intelligence (AI) among primary school teachers in Jakarta, Indonesia. The dataset consists of 130 respondents and 33 variables. Eight variables describe respondents' demographic and professional characteristics, including gender, age, educational background, teaching experience, grade level taught, region of Jakarta, previous participation in Differentiated Instruction training, and previous use of AI tools. The remaining 25 variables consist of Likert-scale items rated on a five-point scale (1–5). The items examine teachers' understanding and perceptions of Differentiated Instruction, the role of diagnostic and formative assessment, equity and student-centered learning, alignment with the Kurikulum Merdeka, the potential use of AI for personalized and adaptive learning, digital literacy, ethical considerations, and challenges associated with implementing Differentiated Instruction and AI in schools. The implementation-challenge items cover practical training, teacher confidence, class size and administrative workload, access to technological devices and internet connectivity, availability of AI-supported learning platforms, learning resources, school culture and policy, teachers' digital literacy, and training related to AI integration. The dataset is intended to support quantitative educational research on Differentiated Instruction, AI integration in education, teacher readiness, digital literacy, personalized learning, and barriers to technology-supported differentiated teaching. The data may be used for descriptive and inferential statistical analysis, factor analysis, structural equation modeling, latent profile analysis, configurational analysis, and other quantitative research approaches. No direct personal identifiers such as respondents' names, email addresses, or telephone numbers are included in the dataset.