SECURE-ED: Open-Source Infrastructure for Student Learning Disability Identification and Treatment
The project aims to develop an infrastructure that would enable users to input data about an individual student and receive back information about the student’s risk profile and the likelihood of responding to a particular intervention. We will leverage Red Hat MPC Tools and OpenShift to address the challenges of integrating and analyzing educational data from multiple sources in an efficient and privacy-preserving manner. The project outcome will involve innovative solutions for personalized education and improved student outcomes while ensuring the privacy and security of sensitive data.
SECURE-ED Open-Source Infrastructure for Student Learning Disability Identification and Treatment, Ola Ozernov-Palchik, Boston University, Research Interest Group, May 2, 2023