Teaching at Scale: Improving Access, Outcomes, and Impact Through Digital Instruction

by David A. Joyner

"Teaching at Scale explores the characteristics and parameters of large-scale online learning by identifying, in its perceived drawbacks, a wealth of educational opportunities in disguise. Scalable learning platforms have exploded in popularity over recent years, with MOOCS, online degree programs, informal learning communities, and alternative credentials all drawing significant enrollments. But, as many educators are asking, are the challenges to delivering education at scale too great and the compromises too many? This book guides instructors to leverage their complex responsibilities-open-ended assessments at scale, individuated feedback to students, academic integrity in less controlled environments, and more-into significant assets. Informed by real-world institutional experience as well as key research in cognitive science and the learning sciences, each chapter provides practical strategies for educators and administrators seeking to solve problems and fulfill the high-quality, broad-access potential of large-scale instruction for lifelong learners"--

Unknown Binding

Published November 1, 2022

About the author

David Joyner is Executive Director of Online Education & OMSCS in Georgia Tech's College of Computing. His research focuses on online education and learning at scale, especially as they intersect with for-credit offerings at the graduate and undergraduate levels. His emphasis is on designing learning experiences that leverage the opportunities of online learning to compensate for the loss of synchronous collocated class time. This includes leveraging artificial intelligence for student support and assignment evaluation, facilitating student communities in large online classes, and investigating strategies for maintainable and interactive presentation of online instructional material. As part of his work, Joyner teaches online versions of CS6460: Educational Technology, CS6750: Human-Computer Interaction, CS7637: Knowledge-Based AI, and CS1301: Introduction to Computing. Joyner has received several awards for his work in teaching online, including the 2019 USG Regents' Teaching Excellence Award for Online Teaching, 2018 Georgia Tech Center for Teaching & Learning Curriculum Innovation Award, and the 2016 Georgia Tech College of Computing Lockheed Excellence in Teaching Award.

Reviews

[Asif Khan · Rating 5 out of 5]

Teaching at Scale offers a thorough exploration of the large-scale online learning, and provides practical strategies for addressing the challenges and seizing the opportunities of this rapidly growing field.

One of the standout features of Teaching at Scale is its strong grounding in real-world institutional experience and key research in cognitive science and the learning sciences. The book is filled with practical, evidence-based strategies for tackling issues such as asynchronous instruction, student motivation, social isolation, and academic integrity.

In addition to offering valuable insights and strategies for addressing specific challenges, Teaching at Scale also provides a set of principles for teaching at scale that can be applied to a wide range of contexts. These principles, which include frontloading and investing, leveraging scale to address scale, and emphasizing lifelong learning for all, provide a valuable foundation for educators and administrators seeking to make the most of large-scale online learning.

Overall, Teaching at Scale is a must-read for any educator or administrator looking to maximize the potential of digital instruction. I highly recommend this book to anyone interested in improving access, outcomes, and impact through online learning.