Learn more about the fascinating book MOOCs and Open Education

MOOCs and Open Education is a book that reviews topics pertaining to open educational resources (OERs) and massive open online courses (MOOCs). Modern gains in distance learning have made it possible for humans in nations all aver the world to be participants in online classes. This MOOCs book conveys practical strategies which can be easily incorporated into face-to-face, blended, and online classes. MOOC classes are almost always free but do not lead to formal accreditation. There are quite a few subjects that distance learning institutions have to struggle with today because online learning technology is developing so quickly. This collected edition describes many different types of MOOC options and the full range of business plans related to MOOCs. How can participants assure that the teaching provided by these MOOCs is satisfactory? How can stakeholders make sure that instructors are properly credentialed and qualified to teach online MOOC classes? What different business models are being used by organizations like Duke University to conduct these massively open online courses? What experimental assessment strategies and teaching practices are in use today? How can educators manage issues like inadequate motivation and high learner attrition?

As digital education technology becomes more procurable there is a growing demand to better understand how MOOC courses are being conducted. Teachers and numerous other participants need to better comprehend the outcomes of these significant new open education ventures. Public servants want to grasp how MOOC courses can be made better. In response to this desire for facts the dramatic new book MOOCs and Open Education provides a critical analysis of massively open online courses and other open education subjects. This thrilling new book also considers the key controversies associated with these massive open online courses and open education resources. To learn more please visit MOOCs and Open Education.

Distance Learning