Stephen Downes

Knowledge, Learning, Community

Definitely worth noting: "The PAR Framework is a non-profit multi-institutional data mining collaborative comprised of two-year, four-year, public, proprietary, traditional and progressive institutions contributing their anonymized student data and expertise to identify common factors contributing to student loss and find effective practices that measurably improve student momentum and progression in U.S. higher education." It's already huge, with 16 institutions having contributed 1,600,000 anonymized and institutionally de-identified student records and more than 12,000,000 course level records to the PAR Framework dataset. Tis is all part of the Data Cookbook, " a central, highly visible location to store all of the details of your institution's reporting terminology and report specifications."

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Stephen Downes Stephen Downes, Casselman, Canada

Copyright 2024
Last Updated: Feb 26, 2024 4:52 p.m.

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