Learn more about the definitive new book MOOCs and Open Education

MOOCs and Open Education is a edited collection that examines subjects relating to open education resources (OER) and massively open online courses. Recent evolvements in blended learning technology have empowered learners all over the world to be participants in courses via the Internet. Massively open online courses are ordinarily free for students but do not consistently lead to formal accreditation. There are several subjects that elearning institutions are having to attend to more than ever because elearning technology is developing so fast. This book about MOOCs provides best practices in online teaching based on decades of research. How can participants guarantee that the quality of training provided by these massively open online courses is decent? How can students be assured that educators are properly credentialed and qualified to teach massive open online courses? What different strategies are being used by organizations like Kauffman Fellows Academy to conduct these massively open online courses? What innovative teaching practices and assessment strategies are optimal? How can teachers manage issues like low learner motivation and high attrition?

As e-learning technology becomes more procurable there is a growing desire to gain more knowledge about how MOOC classes are being conducted. Teachers and lots of other stakeholders need to gain more knowledge about the outcomes of these significant new open education experiments. Scientists want to understand how these massively open online courses can be improved. To meet this developing need for data the gripping new book MOOCs and Open Education Around the World provides a critical analysis of these massive open courses and other open education subjects. This definitive new book also articulates the major controversies associated with massive open online courses and open education resources (OER). To learn more please visit MOOCs and Open Education.

Massive Open Online Course (MOOC) Program