Transforming the Measurement of Learning and Teaching in Higher Education

Alan Bain is Professor of Innovation in Learning, Teaching, and Technology in the Faculty of Education at Charles Stuart University, Australia. Nicholas Drengenberg is Academic Secretary and Manager in the Office of Academic Governance at Charles Stuart University, Australia.

Contents

Foreword

Acknowledgements

Chapter One Is There Learning in Learning Analytics?

Introduction and Overview

How is Learning Analytics Done?

What Are We Doing and Why?

How Do People Really Use Data?

The Education Gap

Proximal and Distal Data

Organizations, Scale and Networks

Surveillance and Ethics

Smarter Tools, Edge Technology

The Maturity of a Young Field

Takeaways

Chapter Two Creating the Context for Emergent Feedback

Introduction and Overview

The Problem

Understanding Context

A Context for Learning and Teaching

Comparability

Models of Learning

Educational Productivity Research

Visibility

Professional Control

The Scope of the Learning and Teaching Context

Implications for Emergent Feedback and Learning Analytics

Takeaways

Chapter Three Emergent Feedback: The New Learning Analytics

Introduction and Overview

Understanding Emergent Feedback

Emergent Feedback in Action

Emergent Feedback at Scale

Attribution

Technology

Clarifying

Ultima Thule – The Ultimate Goal

Chapter Four Agency

Introduction and Overview

What is Agency?

Networked Agency: Actor Network Theory

Agency without professional control

Why is education different?

The Tardean Turn

Gabriel Tarde, agency and scale

Scale

Takeaways

Chapter Five The Emergent Feedback Organization

Introduction and Overview

Characteristics of an Emergent Feedback Organization

Absence of Professional Control

A Distal Schema

The Agency of Hierarchy

No Emergent Feedback

External Forces

Busy with Distal Data

The Emergent Feedback Organization in Action

Professional Control

Agency

Self-Similar Distributed Leadership

Emergent Feedback

Dynamic Change

Implications

Takeaways

Chapter Six The Ethics of Emergent Feedback

Introduction and Overview

Ethical Issues: Current Perspectives

Getting it Right – Ethical Utility

Best Practice Commitments

Accuracy and Transparency

Rights and Ethical Process

Ethical Themes in an Emergent Feedback Organization

Professional Codes of Ethics – A Point of Comparison

Implications: Making a Different Case

Takeaways

Chapter Seven The Technology of Emergent Feedback

Introduction and Overview

Technology in Education

Thinking Differently About Technology – Actual and Virtual

The Actual

The Virtual

Conway’s Law

The Principles of Professionally Controlled Technologies: A True ‘Virtual’

Agent-Based Development

Design Methodology

Smarter Toolkits

Implications: New Technologies

Takeaways

Chapter Eight Change

Introduction and Overview

The Proximal Issue

State of the Art

Paradigm Building

Crossing the Border

Implications for Learning Analytics

Expecting the Incomplete

Takeaways

Chapter Nine Where to from Here?

Compatibility

The Maturity Index

Culture/Process

Data/Reporting/Tools

Investment

Expertise

Governance/Infrastructure

Sameness and Competition

Changing the Game

Potential Differentiators

Final thoughts

Takeaways

Index