As artificial intelligence and various digital technologies continue to evolve, there are increasing efforts to implement customized education for students through AI-driven digital textbooks and to enhance the interoperability of educational technology (EdTech). However, the absence of standardized learning data management items and processing methods poses challenges in creating an effective AI-based data ecosystem. Therefore, we aim to promote the development and growth of EdTech focused on public education by improving the connection and sharing of learning data generated in public educational settings. Additionally, we will create a dictionary of standard learning data terms to support the transition to the digital education system advocated by the government. In this study, rather than providing a list of terms related to learning data, I will focus on identifying the essential management items that should be included in a learning data dictionary.