In this session, I will give a preview of EdReady, a new application that is designed to use assessments and other relevant data to drive personalized search and discovery of educational resources, especially OER. We start with what we know about a learner and then use that information to present customized programs of study. There will be a number of key features in EdReady that will be of interest to the OER community: a flexible assessment player, a resource marketplace that places OER on a level playing field, open data outputs for education researchers and policy makers, and APIs for ingesting and serving data at various operational levels across the application.
This application is being built and distributed by the Monterey Institute for Technology and Education (MITE), and the initial release for EdReady is planned for next year and will focus on developmental math, helping students returning to college to be able to take credit-bearing courses. EdReady is not intended to serve as a complete learning management solution, nor to replace instructors and classrooms. Rather, EdReady will improve the likelihood of identifying educational resources and courses of study that are appropriate to that specific learner, thereby driving awareness and use of OER and enabling the personalization of education that has thus far eluded meaningful incorporation into our educational system.
