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This timely book offers a wide-ranging study of the thesis that scientific theories are systematically "underdetermined" by the data they account for. After analyzing the epistemological and ontological aspects of the topic in detail, and reviewing pertinent logical facts and selected scientific cases, the author carefully examines the merits of arguments for and against the thesis. Along the way, he investigates methodological proposals and recent theories of confirmation.

As new digital forms of formal and informal learning proliferate, there is an increasing need to better understand how people in different regions of the world are implementing massive open online courses (MOOCs) and other forms of open educational resources (OERs). Educators, researchers, politicians, and numerous other stakeholders want to grasp what the outcomes of these initiatives are and how they can be improved. Ongoing e-learning developments related to both technology and pedagogy have pushed institutions and organizations to grapple with issues of accreditation, credentialing,...

As new digital forms of formal and informal learning proliferate, there is an increasing need to better understand how people in different regions of the world are implementing massive open online courses (MOOCs) and other forms of open educational resources (OERs). Educators, researchers, politicians, and numerous other stakeholders want to grasp what the outcomes of these initiatives are and how they can be improved. Ongoing e-learning developments related to both technology and pedagogy have pushed institutions and organizations to grapple with issues of accreditation, credentialing,...