Find out more about the edifying new book MOOCs and Open Education

MOOCs and Open Education is a edited collection that researches topics relating to open education resources and massive open online courses (MOOC). New developments in distance learning technology are empowering humans all over the world to take online courses. These massive open courses are free for students but do not lead to formal accreditation. Infrastructure, marketing, pedagogy, and assessment are some of the areas where questions about MOOCs and other forms of open education persist. There are several topics that technology-enhanced learning organizations are having to consider in 2015 because technology-enhanced learning is advancing so swiftly. How can participants make sure that the quality of education provided by these massively open online courses is good? How can we assure that educators are properly credentialed and qualified to teach online? What different strategies are being used by institutions like Ashmore and Cartier Islands to conduct these MOOC courses? What original assessment strategies and teaching practices are optimal? How can participants handle issues like poor learner motivation and high learner attrition?

As electronic educational technology becomes more widespread there is a growing desideratum to better understand how massively open online courses are being conducted. Professors and lots of other participants would like to gain more knowledge about these fascinating new open educational undertakings. Intellectuals want to grasp how these massively open online courses can be made better. To satisfy this expanding desideratum for information the authoritative new book MOOCs and Open Education Around the World provides a critical analysis of massively open online courses and other open education resource subjects. This thrilling new book also analyzes the most important controversies associated with these massive online courses and open educational resources. To learn more please visit MOOCs and Open Education.

Distance Learning