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Online Learning Analytics

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advanced online education analytics
assessment and feedback systems
asynchronous discussion analysis
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Category=UN
COI Framework
COVID-19 pandemic
curriculum improvement strategies
data analysis
Data Literacy Skills
DFW Rate
digital learning applications
ECD
educational assessment
educational data mining
ELA Teacher
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eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Evidence Centered Design Approach
evidence-informed teaching
face detection
Global Virtual Team
higher education
indian edition
instructional design
instructional design analytics
Israel
LA System
large R1 institution
Learning Analytics
Learning Analytics Approaches
LMS Activity
Online Learning
online learning analytics
Open University UK
Penn State
Pennsylvania State University
Quality Matters Standards
RGB Component
RGB Format
RGB Image
scale quality online learning
Stem Degree
Student Engagement
Student Engagement Data
student engagement metrics
Technology Enhanced Learning Tools
Title III
virtual learning

Product details

  • ISBN 9781032200972
  • Weight: 639g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

"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.
      About
      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).