Find out more about this scholarly new book MOOCs and Open Education

MOOCs and Open Education is a edited collection that talks about issues regarding open educational resources (OER) and massively open online courses (MOOCs). Modern evolvements in blended learning technology are providing the means for humans in nations all aver the world to be participants in courses via the Internet. These massive online courses are customarily free for students but do not always lead to formal accreditation. There are several issues that elearning technology organizations are having to consider in 2015 because elearning technology is advancing so quickly. MOOCs support interactions between students and professors with user forums and other forms of online communities. How can stakeholders ensure that the schooling provided by these massive open online courses is respectable? How can participants assure that teachers are properly credentialed to teach massively open online courses? What strategies are being used by organizations like Santa Clara University to conduct these MOOCs? What assessment strategies and experimental teaching practices are optimal? How can we handle inadequate student motivation and high dropout rates?

As online education becomes more commonplace there is a increasing desideratum to gain more knowledge about how MOOC classes are being conducted. Educators and numerous other stakeholders want to better understand the outcomes of these exciting new open educational experiments. Everybody wants to understand how MOOC courses can be made better. To respond to this expanding desideratum for details the authoritative new book MOOCs and Open Education Around the World provides a critical analysis of these massive open online courses and other open educational resource topics. This dramatic new book also analyzes the major controversies associated with massive open online courses and open educational resources (OER). To learn more please visit MOOCs and Open Education.

Massively Open Online Course (MOOC) Program