Learn more about this impressive book MOOCs and Open Education

MOOCs and Open Education is a book which studies topics relevant to open education resources (OER) and massively open online courses. Modern advancements in distance learning technology have provided the means for humans in every nation on earth to take part in online classes. These online MOOCs are generally free for students but do not always lead to formal accreditation. Keeping thousands of students motivated and involved in a course is difficult for an instructor. It is a challenge to motivate and engage students in online environments. There are numerous issues that learning technology institutions are having to consider today because learning technology is developing so quickly. How can organizations guarantee that the quality of teaching provided by these massively open online courses is adequate? How can students make sure that teachers are properly credentialed to teach online courses? What business models are being used by organizations like Georgia Institute of Technology to conduct these MOOCs? What experimental evaluation strategies and teaching practices are optimal? How can we manage poor student motivation and high student dropout rates?

As blended learning technology becomes more widespread there is a developing desideratum to better understand how massively open online courses are being conducted. Trainers and many other stakeholders want to better comprehend the outcomes of these promising new open education experiments. Corporations want to better understand how MOOCs can be made better. To meet this growing desire for details the exciting new book MOOCs and Open Education Around the World provides a critical analysis of these massive online courses and other open educational resource subjects. This scholarly new book also explores the major controversies associated with these massive open courses and open educational resources (OERs). To learn more please visit MOOCs and Open Education.

Massively Open Online Course (MOOC) Program