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Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Theoretical and Technological Perspectives Linking Learning Analytics and Study Success

    1. Front Matter
      Pages 1-1
    2. Jacqueline Wong, Martine Baars, Björn B. de Koning, Tim van der Zee, Dan Davis, Mohammad Khalil et al.
      Pages 3-25
    3. Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau
      Pages 27-36
    4. Miriam Hommel, Armin Egetenmeier, Ulrike Maier
      Pages 37-60
  3. Issues and Challenges for Implementing Learning Analytics

  4. Learning Analytics Case Studies: Practices and Evidence

    1. Front Matter
      Pages 221-221
    2. Natasha Arthars, Mollie Dollinger, Lorenzo Vigentini, Danny Y.-T. Liu, Elsuida Kondo, Deborah M. King
      Pages 223-248
    3. Danny Glick, Anat Cohen, Eitan Festinger, Di Xu, Qiujie Li, Mark Warschauer
      Pages 249-273
    4. Michael Baird, Lesley Sefcik, Steve Steyn, Connie Price
      Pages 295-312
    5. Dana-Kristin Mah, Jane Yin-Kim Yau, Dirk Ifenthaler
      Pages 313-321
  5. Back Matter
    Pages 323-328

About this book

Introduction

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students’ learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion:

·         Theoretical perspectives linking learning analytics and study success.

·         Technological innovations for supporting student learning.

·         Issues and challenges for implementing learning analytics at higher education institutions.

·         Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. 

Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.


 

Keywords

Educational technology Learning environment Higher education resources Learning behavior Learning analytics Digital learning environments Administrative systems Social platforms Real-time modelling Digital technologies Study success Higher education institutions

Editors and affiliations

  • Dirk Ifenthaler
    • 1
  • Dana-Kristin Mah
    • 2
  • Jane Yin-Kim Yau
    • 3
  1. 1.University of MannheimMannheim, BWGermany
  2. 2.University of MannheimMannheim, BWGermany
  3. 3.University of MannheimMannheim, BWGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-64792-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Education
  • Print ISBN 978-3-319-64791-3
  • Online ISBN 978-3-319-64792-0
  • Buy this book on publisher's site