by David Raths, Campus Technology
California State University, Fresno has been urging its faculty members to seek out appropriate no- or low-cost course materials. The problem: Replacing costlier course material with appropriate OER content is time-consuming, said Bryan Berrett, director of the campus’s Center for Faculty Excellence. To ease the process of selecting material, CSU-Fresno has been piloting an analytics solution from Intellus Learning, which has indexed more than 45 million online learning resources and can make recommendations of matching OER content. A similar homegrown effort at Penn State University has branched out into new directions, said Kyle Bowen, director of education technology services. PSU’s BBookX takes a human-assisted computing approach to enable creation of open source textbooks. The technology uses algorithms to explore OER repositories and return relevant resources that can be combined, remixed and re-used to support learning goals. As instructors and students add materials to a book, BBookX learns and further refines the recommended material.
https://campustechnology.com/articles/2017/10/04/how-machine-learning-is-easing-oer-pain-points.aspx
Share on Facebook