EDUCAUSE: Five Myths about MOOCs, MOOCs for Blended Learning, and More
New articles were posted EDUCAUSE Review Online today. Three deal specifically with MOOCs.
1. “Five Myths about MOOCs” by James G. Mazoué, Director of Online Programs at Wayne St. University.
The myths Mazoué lists and discusses are:
- It’s All about Money
- MOOCs Create a Two-Tier Educational System
- MOOCs Are Inherently Inferior
- MOOCs Are Mechanistic
- We’ve Seen How This Plays Out
Direct to Full Text Article
2 . Can the Current Model of Higher Education Survive MOOCs and Online Learning? by Henry C. Lucas, Jr., University of Maryland, College Park.
Not all U.S. colleges and universities will disappear as a result of new technologies, but clearly some will. If higher education institutions embrace the status quo, they will no longer be in control of their own fate. To survive, they must change their existing business models.
3. Rethinking Online Community in MOOCs Used for Blended Learning by Michael Caulfield (Washington State University), Amy Collier (Stanford University), and Sherif Halawa (Stanford University)
Unlike students in small online courses or unaffiliated students in MOOCS, distributed flip students might not use community features. If MOOCs for blended learning are to fully realize the potential of online communities, we must investigate alternative forms of community that are more loosely coupled to content sequence and more distributed in terms of power.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.