This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…

Written by the director and staff of the first, and one of the largest, teaching centers in American higher education--the University of Michigan's Center for Research on Learning and Teaching (CRLT)--this book offers a unique perspective on the strategies for making a teaching center integral to an institution's educational mission. It presents a…

This book is designed for college faculty, staff, and administrators who train and supervise teaching assistants (TAs). It presents a collection of papers with information on designing, implementing, and improving TA training programs. Section 1, "The Training and Preparation of Graduate Teaching Assistants," includes (1) "Conceptualizing and…

Following the growing commitment to assessment at the undergraduate level, doctoral programs are now grappling with what accountability means for them. This book provides a foundation for faculty and academic leaders of doctoral programs to promote inquiry into the educational practices that define their programs and contribute to graduate…