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Parents are questioning the value of virtual learning. A way to address such doubts is learning analytics. This book focuses on how learning analytics can measure student e-learning outcomes. Insight from academia, industry, and not-for-profit organizations demonstrate how learning analytics can determine the pros and cons of e-learning.
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).
1 Leveraging Learning Analytics for Assessment and Feedback 2 Desperately Seeking the Impact of Learning Analytics in Education at Scale: Marrying Data Analysis with Teaching and Learning 3 Designing for Insights: An Evidenced-Centered Approach to Learning Analytics 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 6 Using Learning Analytics and Instructional Design to Inform, Find, and Scale Quality Online Learning 7 Democratizing Data at a Large R1 Institution: Supporting Data-Informed Decision Making for Advisers, Faculty, and Instructional Designers 8 The Benefits of the 'New Normal': Data Insights for Improving Curriculum Design, Teaching Practice, and Learning 9 Learning Information, Knowledge, and Data Analysis in Israel: A Case Study 10 Scaling Up Learning Analytics in an Evidence-Informed Way 11 The Role of Trust in Online Learning 12 Face Detection with Applications in Education
