Learning Analytics in Higher Education. ASHE Higher Education Report. Volume 43, Number 5. J-B ASHE Higher Education Report Series (AEHE)

  • ID: 4435499
  • Book
  • 152 Pages
  • John Wiley and Sons Ltd
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Learning analytics (or educational big data) tools are increasingly being deployed on campuses to improve student performance, retention and completion, especially when those metrics are tied to funding. Providing personalized, real–time, actionable feedback through mining and analysis of large data sets, learning analytics can illuminate trends and predict future outcomes. While promising, there is limited and mixed empirical evidence related to its efficacy to improve student retention and completion. Further, learning analytics tools are used by a variety of people on campus, and as such, its use in practice may not align with institutional intent.

This monograph delves into the research, literature, and issues associated with learning analytics implementation, adoption, and use by individuals within higher education institutions. With it, readers will gain a greater understanding of the potential and challenges related to implementing, adopting, and integrating these systems on their campuses and within their classrooms and advising sessions.

This is the fifth issue of the 43rd volume of the Jossey–Bass series
ASHE Higher Education Report. Each monograph is the definitive analysis of a tough higher education issue, based on thorough research of pertinent literature and institutional experiences. Topics are identified by a national survey. Noted practitioners and scholars are then commissioned to write the reports, with experts providing critical reviews of each manuscript before publication.
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Volume Editors:  Jaime Lester is an associate professor in the Higher Education Program at George Mason University.    Carrie Klein is a PhD research and teaching assistant in the Higher Education Program at George Mason University.    Huzefa Rangwala is an associate professor in the Department of Computer Science at George Mason University.    Aditya Johri is an associate professor in the Information Sciences and Technology Department at George Mason University.    Series Editors:  Kelly Ward and Lisa E. Wolf–Wendel
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