Online Learning Analytics Book by Jay Liebowitz
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Online Learning Analytics

Online Learning Analytics


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About the Book

In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best 'good trouble' makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work.

--Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University

Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the new normal of education. Instead of online learning being an added feature of K-12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes.

Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines:

  • Data insights for improving curriculum design, teaching practice, and learning
  • Scaling up learning analytics in an evidence-informed way
  • The role of trust in online learning.

Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.


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Product Details
  • ISBN-13: 9781032200972
  • Publisher: Taylor & Francis
  • Publisher Imprint: Auerbach Publications
  • Height: 234 mm
  • No of Pages: 232
  • Series Title: Data Analytics Applications
  • Weight: 603 gr
  • ISBN-10: 1032200979
  • Publisher Date: 15 Dec 2021
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Spine Width: 16 mm
  • Width: 156 mm


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