Find out more about the book MOOCs and Open Education

MOOCs and Open Education is a edited collection which examines topics relevant to open educational resources (OERs) and massively open online courses. Modern advancements in online education are enabling learners in nations all aver the world to take online courses. MOOC courses are typically free but do not always lead to formal accreditation. There are a variety of subjects that technology-enhanced learning institutions are having to deal with today because e-learning technology is improving so quickly. How can institutions make sure that the quality of these massively open online courses is satisfactory? How can students guarantee that teachers are properly credentialed and qualified to teach MOOCs? What different business models are being used by organizations like Alfred State College of Technology - SUNY to conduct these massive open online courses? How can proper quality standards be consistently defined and maintained? What evaluation strategies and teaching practices are optimal? How can institutions manage issues like inadequate student motivation and high dropout rates?

As elearning becomes more procurable there is a developing demand to gain a better understanding of how these MOOCs are being conducted. Teachers and numerous other participants would like to gain more knowledge about the outcomes of these open education endeavours. Completion rates for online MOOCs are far less than the completion rates for traditional courses. Public servants want to gain more knowledge about how these massively open online courses can be improved. To meet this growing need for facts the authoritative new book MOOCs and Open Education Around the World provides a critical analysis of these MOOC courses and other open education topics. This inspiring new book also talks about the key controversies associated with massively open online courses and open educational resources. To learn more please visit MOOCs and Open Education.

Massive Open Online Course (MOOC) Program