Online Learning Analytics (Data Analytics Applications)

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
List of Figures
List of Tables
Foreword
Preface
Contributing Authors
About the Editor
Chapter 1 Leveraging Learning Analytics for Assessment and Feedback
	Abstract
	Introduction
	Current State of Educational Assessment
	Harnessing Data and Analytics for Assessment
	Benefits of Analytics-Enhanced Assessment
	Analytics-Enhanced Assessment Framework
	Conclusion
	References
Chapter 2 Desperately Seeking the Impact of Learning Analytics in Education at Scale: Marrying Data Analysis with Teaching and Learning
	Abstract
	Introduction
	Critical Aspects of LA in a Human-Centered Perspective
		Focus on Teachers’ Needs and Goals
		Teachers’ Data Literacy Skills
		Data
	Conclusions
	References
Chapter 3 Designing for Insights: An Evidenced-Centered Approach to Learning Analytics
	Abstract
	Introduction
	Current Issues in Learning Analytics
		Learning Theory and Learning Analytics
		Availability and Validity of Learner Data
		Contextual Gaps in Data Footprints
		Ethical Considerations
		Conclusion
	An Evidenced-Centered Design Approach to Yielding Valid and Reliable Learning Analytics
		ELAborate
		User-Centered Design in Discovery
		Learning Outcomes, Theory of Action, Theory of Change, and a Learning Model
		Learner Data Footprint
		Construct Validity and Meaningful Insights
		Ethics-Informed Learning Analytics
	Conclusion
	References
Chapter 4 Implementing Learning Analytics at Scale in an Online World: Lessons Learned from the Open University UK
	Abstract
	Introduction
	Making Use of Learning Analytics Data
	The Rise of the Learning Analytics Community
		Case Study 1: The Analytics4Action Project
		Case Study 2: Learning Design to Understand Learning Analytics
	Discussion
	References
Chapter 5 Realising the Potential of Learning Analytics: Reflections from a Pandemic
	Abstract
	Introduction
	Some Notes on the Nature of Conceptual Exploration
	Glimpses of Learning Analytics During the Pandemic
	Implications and (Un)Realised Potential of Learning Analytics
	Conceptual Operations
	Conclusions
	References
Chapter 6: Using Learning Analytics and Instructional Design to Inform,Find, and Scale Quality Online Learning
	Abstract
	Introduction
	Selected Research and Practice About Online Learning Quality
	Learning Analytics in Higher Ed and at UMBC
	UMBC’s Pandemic PIVOT
	Theory and Practice
	Adoption
	Impact
		Faculty
		Students
	Lessons Learned
	Conclusion
	References
Chapter 7 Democratizing Data at a Large R1 Institution: Supporting Data-Informed Decision Making for Advisers, Faculty, and Instructional Designers
	Abstract
	Introduction
	Dimensions of Learning Analytics
		Learning Analytics Project Dimensions
	Organizational Considerations: Creating Conditions for Success
		Security, Privacy, and Ethics
	Advancing Analytics Initiatives at Your Institution
		Iterating Toward Success
		Consortium, Research Partnerships, and Standards
	Penn State Projects
		Penn State Projects: Analytical Design Model
		Penn State Projects: Elevate
		Penn State Projects: Spectrum
	Conclusion
	References
Chapter 8 The Benefits of the ‘New Normal’: Data Insights for Improving Curriculum Design, Teaching Practice, and Learning
	Abstract
	Introduction
	Testing the Benefits of the New Normal
	Variables and Proxies
	Digging Deeper: How to Separate Curriculum, Assessment, and Teacher Effects on Learning
	Conclusion
	References
Chapter 9 Learning Information, Knowledge, and Data Analysis in Israel: A Case Study
	Abstract
	Introduction: The 21st-Century Skills
	Developing the Digital Information Discovery and Detection Programs
	Upgrading the Program: Data and Information
	COVID-19
	Current Situation
	Summary
	References
Chapter 10 Scaling Up Learning Analytics in an Evidence-Informed Way
	Abstract
	Introduction
	A Capability Model for Learning Analytics
		Capabilities for Learning Analytics
		Design Process
	Using the Learning Analytics Capability Model in Practice
		Evaluation of the Learning Analytics Capability Model
		Phases of Learning Analytics Implementation
	Measuring Impact on Learning
	Conclusion and Recommendations
	References
Chapter 11 The Role of Trust in Online Learning
	Abstract
	Introduction
	Trust and Online Learning—Literature Review
	Research Method
		Characteristics of the Research Sample
		The Instrument and Data Analysis
	Research Results
		Demographic Characteristics of Respondents
		Technological Availability and Software Used
		Benefits of Learning Online
		Bottlenecks in Online Learning
		Factors Affecting Online Learning
	Discussion
	Conclusion
	References
Chapter 12 Face Detection with Applications in Education
	Abstract
	Introduction
		Problem Statement
		Literature Review
	Face Detection Techniques
		Geometric Approach
		Machine Learning Approach
	Methodology
		Image
		Preprocessing
		Integral Image
		Removing Haar Features
	Experimentation
		Creating the Haar Cascading Classifier
		Tuning Parameters
		Experimentation Results
		Results Metrics
		Results Comparison Table
	Conclusions and Future Work
	Acknowledgments
	References
Index