Learn more about this impressive book MOOCs and Open Education

MOOCs and Open Education is a edited collection which deals with topics relevant to open education resources (OER) and massive open online courses. Recent advances in learning technology are empowering students all over the world to participate in classes online. Massive open online courses (MOOCs) and similar experiments with open education are allowing millions of self-directed online learners around the globe to learn from well-known professors. These MOOC classes are commonly free but do not always lead to formal accreditation. There are a variety of subjects that blended learning organizations have to consider now that elearning technology is advancing so swiftly. How can institutions assure that the teaching provided by these massively open online courses is acceptable? How can organizations certify that lecturers are properly credentialed and qualified to teach online classes? What different business strategies are being used by institutions like University of California, San Francisco to conduct these massive open online courses? What experimental assessment strategies and teaching practices are in use today? How can teachers deal with the problems of inadequate student motivation and high student attrition?

As distance learning becomes more prolific there is a growing desideratum to grasp how massive open online courses are being conducted. Researchers and lots of other stakeholders would like to gain a better understanding of these interesting new open educational experiments. Everyone wants to understand how MOOC classes can be enhanced. To respond to this growing demand for details the inspiring new book MOOCs and Open Education Around the World offers a critical analysis of these MOOC classes and other open education resource topics. This new book also examines the most important controversies associated with massively open online courses and open educational resources (OER). To learn more please visit MOOCs and Open Education.

MOOC Online Learning