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

MOOCs and Open Education Around the World is a edited collection which talks about topics pertaining to open educational resources (OER) and massively open online courses. New advances in digital education technology have enabled students all over the world to be participants in courses via the Internet. MOOC courses are almost always free for learners but do not lead to formal accreditation. There are a variety of subjects that online learning organizations are having to consider more than ever because elearning technology is developing so rapidly. How can stakeholders make sure that the quality of instruction provided by these MOOCs is all right? How can organizations ensure that teachers are properly credentialed to teach courses online? What different strategies are being used by organizations like OpenLearning to conduct these massively open online courses? What assessment strategies and original teaching practices are optimal? Interaction, feedback and online support are the most important things that help students succeed in MOOC courses. How can institutions handle issues like inadequate learner motivation and high student dropout rates?

As distance learning becomes more procurable there is a developing need to be aware of how massively open online courses are being conducted. Instructors and numerous other stakeholders want to better grasp these important new open educational experiments. Completion rates for online MOOCs are far less than the completion rates for traditional courses. Students want to gain an understanding of how MOOC classes can be improved. In response to this developing desire for information the exciting new book MOOCs and Open Education Around the World provides a critical analysis of these massive open online courses and other open education issues. This book also discusses the major controversies associated with MOOC classes and open educational resources. To learn more please visit MOOCs and Open Education.

Distance Learning