ABSTRACT

Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.

part Section I|20 pages

Introduction

chapter 1|18 pages

Data analytics and adaptive learning

Increasing the odds

part Section II|124 pages

Analytics

chapter 2|15 pages

What we want versus what we have

Transforming teacher performance analytics to personalize professional development

chapter 3|22 pages

System-wide momentum

chapter 6|18 pages

Predicting student success with self-regulated behaviors

A seven-year data analytics study on a Hong Kong University English Course

chapter 7|18 pages

Back to bloom

Why theory matters in closing the achievement gap

chapter 8|17 pages

The metaphors we learn by

Toward a philosophy of learning analytics

part Section III|118 pages

Adaptive Learning

chapter 12|19 pages

Three-year experience with adaptive learning

Faculty and student perspectives

chapter 14|21 pages

When adaptivity and universal design for learning are not enough

Bayesian network recommendations for tutoring

part Section IV|38 pages

Organizational Transformation

chapter 15|15 pages

Sprint to 2027

Corporate analytics in the digital age

chapter 16|21 pages

Academic digital transformation

Focused on data, equity, and learning science

part Section V|22 pages

Closing