Online Learning Analytics
- Available for pre-order. Item will ship after December 14, 2021
"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care hold 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.
Table of Contents
1 Leveraging Learning Analytics for Assessment and Feedback
Dirk Ifenthaler and Samuel Greiff
2 Desperately Seeking the Impact of Learning Analytics in Education at Scale: Marrying Data Analysis with Teaching and Learning
Olga Viberg and Åke Grönlund
3 Designing for Insights: An Evidenced-Centered Approach to Learning Analytics
Kara N. McWilliams, Kristen Herrick, K. Becca Runyon, and Andreas Oranje
4 Implementing Learning Analytics at Scale in an Online World: Lessons Learned from the Open University UK
5 Realizing the Potential of Learning Analytics: Reflections from a Pandemic
Mohammad Khalil, Paul Prinsloo, and Sharon Slade
6 Using Learning Analytics and Instructional Design to Inform, Find, and Scale Quality Online Learning
John Fritz, Mariann Hawken, and Sarah Shin
7 Democratizing Data at a Large R1 Institution: Supporting Data-Informed Decision Making for Advisers, Faculty, and Instructional Designers
Chris Millet, Jessica Resig, and Bart Pursel
8 The Benefits of the ‘New Normal’: Data Insights for Improving Curriculum Design, Teaching Practice, and Learning
Deborah West and Pablo Munguia
9 Learning Information, Knowledge, and Data Analysis in Israel: A Case Study
Moria Levy and Ronit Nehemia
10 Scaling Up Learning Analytics in an Evidence-Informed Way
Justian Knobbout and Esther van der Stappen
11 The Role of Trust in Online Learning
Joanna Paliszkiewicz and Edyta Skarzyńska
12 Face Detection with Applications in Education
Juan Carlos Bonilla-Robles, José Alberto Hernández Aguilar, and Guillermo Santamaría-Bonfil
Dr. Jay Liebowitz is a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. He previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Professor in the Carey Business School at Johns Hopkins University. He is also the Series Book Editor of the Data Analytics Applications book series (Taylor & Francis), as well as the Series Book Editor of the new Digital Transformation: Accelerating Organizational Intelligence book series (World Scientific Publishing).