Proposing a Processing Distribution System for Cross-Organizational Use of Educational Data

Abstract

Cross-organizational data utilization is crucial for fostering DX in education. In order to leverage data across multiple organizations, some research suggests platforms that enable data-using organizations to bring data and the programs deployed to a secure execution environment for processing. However, when it comes to using educational data, it is concerned about the risk of confidential information leakage by transferring the data outside of organization. In addition, to efficiently use data across organizations, each organization should perform common preprocessing on the data. In this paper, we propose a processing distribution system that can securely and efficiently collect educational data and utilize it across organizations.