Learn more about the new book MOOCs and Open Education

MOOCs and Open Education Around the World is a book which explores issues related to open educational resources and massive open online courses (MOOC). Brand new evolvements in distance learning technology have made it possible for people in all parts of the world to participate in classes via the Internet. These online MOOCs are almost always free but do not consistently lead to formal accreditation. This MOOCs book also documents active learning solutions that can help motivate students to engage in more productive learning experiences. There are numerous topics that blended learning institutions are having to attend to more than ever because online education technology is developing so fast. How can educators assure that the quality of instruction provided by these massive open online courses is all right? How can students guarantee that instructors are properly credentialed to teach massive open online courses? What different strategies are being used by institutions like Princeton University to conduct these massively open online courses? What experimental teaching practices and assessment strategies are optimal? How can educators handle poor motivation and high student attrition?

As distance learning technology becomes more procurable there is a demand to gain a better understanding of how MOOC classes are being conducted. Corporations and many other participants desire to gain more knowledge about the outcomes of these interesting new open education ventures. Universities want to gain more knowledge about how these MOOC classes can be improved. To respond to this developing desire for information the inspiring new book MOOCs and Open Education offers a critical analysis of these massively open online courses and other open education issues. This inspiring new book also investigates the most important controversies associated with massive open online courses and open educational resources (OERs). To learn more please visit MOOCs and Open Education.

Distance Learning