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Transforming the measurement of learning and teaching in higher education / Alan Bain and Nicholas Drengenberg.
Van Pelt Library LB2331.62 .B35 2016
By Request
- Format:
- Book
- Author/Creator:
- Bain, Alan, 1957- author.
- Drengenberg, Nicholas, author.
- Language:
- English
- Subjects (All):
- Education, Higher--Evaluation.
- Education, Higher.
- Education, Higher--Aims and objectives.
- Educational evaluation.
- Physical Description:
- xiii, 172 pages ; 24 cm
- Place of Publication:
- New York, NY : Routledge, 2016.
- Summary:
- Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching. Book jacket.
- Contents:
- 1 Is There Learning in Learning Analytics? 1
- Introduction and Overview 1
- How Is Learning Analytics Done? 2
- What Are We Doing and Why? 3
- How Do People Really Use Data? 6
- The Education Gap 8 Proximal and Distal Data 8
- Organizations, Scale, and Networks 9
- Surveillance and Ethics 10
- Smarter Tools, Edge Technology 11
- Maturity of a Young Field 12
- Takeaways 13
- References 14
- 2 Creating the Context for Emergent Feedback 16
- Introduction and Overview 16
- The Problem 16
- Understanding Context 18
- Context for Learning and Teaching 22
- Comparability 22
- Models of Learning 22
- Educational Productivity Research 23
- Visibility 25
- Professional Control 25
- Scope of the Learning and Teaching Context 29
- Implications for Emergent Feedback and Learning Analytics 32
- Takeaways 33
- Notes 33
- References 34
- 3 Emergent Feedback 37
- Introduction and Overview 37
- Understanding Emergent Feedback 37
- Emergent Feedback in Action 38
- Emergent Feedback at Scale 46
- Attribution 51
- Technology 52
- Clarifying 53
- Ultimate Thule-The Ultimate Goal 56
- Takeaways 57
- Note 58
- References 58
- 4 Agency 59
- Introduction and Overview 59
- What Is Agency? 59
- Networked Agency: Actor Network Theory 64
- Agency without Professional Control 66
- Why Is Education Different? 67
- Tardean Turn 69
- Gabriel Tarde: Agency and Scale 70
- Scale 74
- Takeaways 75
- Notes 76
- References 76
- 5 The Emergent Feedback Organization 78
- Introduction and Overview 78
- Characteristics of an Emergent Feedback Organization 78
- Absence of Professional Control 81
- Distal Schema 82
- Agency of Hierarchy 83
- No Emergent Feedback 85
- External Forces 86
- Busy with Distal Data 86
- The Emergent Feedback Organization in Action 87
- Professional Control 88
- Agency 89
- Self-Similar Distributed Leadership 90
- Emergent Feedback 91
- Dynamic Change 93
- Implications 93
- Takeaways 95
- Notes 95
- References 96
- 6 Ethics of Emergent Feedback 97
- Introduction and Overview 97
- Ethical Issues: Current Perspectives 98
- Getting It Right-Ethical Utility 101
- Best Practice Commitments 102
- Accuracy and Transparency 103
- Rights and Ethical Process 104
- Ethical Themes in an Emergent Feedback Organization 105
- Professional Codes of Ethics-A Point of Comparison 106
- Implications: Making a Different Case 109
- Takeaways 112
- Notes 113
- References 113
- 7 Technology of Emergent Feedback 116
- Introduction and Overview 116
- Technology in Education 116
- Thinking Differently about Technology-Actual and Virtual 118
- Actual 119
- Virtual 119
- Conway's Law 121
- Principles of Professionally Controlled Technologies: A True "Virtual" 123
- Agent-Based Development 124
- Design Methodology 125
- Smarter Tool-Kits 130
- Implications: New Technologies 131
- Takeaways 133
- Notes 134
- References 134
- 8 Change 138
- Introduction and Overview 138
- The Proximal Issue 138
- State of the Art 139
- Paradigm Building 142
- Crossing the Border 144
- Implications for Learning Analytics 145
- 1 Remap the Landscape 146
- 2 Instantiate the Models 146
- 3 Test the Models 146
- 4 Edge Technologies 147
- 5 Change Agency 147
- Expecting the Incomplete 148
- Takeaways 149
- Notes 150
- References 150
- 9 Where to from Here? Compatibility 153
- Maturity Index 154
- Culture / Process 154
- Data/Reporting/Tools 156
- Investment 157
- Expertise 157
- Governance / Infrastructure 158
- Sameness and Competition 159
- Changing the Game 160
- Potential Differentiators 161
- Final Thoughts 166
- Takeaways 167
- Note 167
- References 167.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 9781138118881
- 1138118885
- 9781138118898
- 1138118893
- OCLC:
- 922920509
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