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

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 (massive open online courses), 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.

《大規模教學》探討了大規模線上學習的特點和參數，通過在其被認為的缺點中發現了許多教育機會的潛藏價值。近年來，可擴展的學習平台在受歡迎度上急速增長，包括大規模開放線上課程（MOOCs）、線上學位課程、非正式學習社區和替代認證等，都吸引了大量的報名。但是，正如許多教育工作者所問的，大規模教育的挑戰是否太大，妥協是否太多？本書指導教師將他們的複雜責任（大規模開放評估、針對學生的個別化反饋、在較少受控環境中的學術誠信等）轉化為重要資產。每一章都以實際的機構經驗和認知科學以及學習科學的重要研究為基礎，為教育工作者和管理人員提供解決問題、實現大規模教學對終身學習者的高質量、廣泛接觸潛力的實用策略。

David A. Joyner is Executive Director of Online Education and the Online Master of Science in Computer Science and Adjunct Faculty in the School of Interactive Computing at Georgia Tech College of Computing, USA.

David A. Joyner 是美國喬治亞理工學院計算機科學學院的線上教育和線上計算機科學碩士課程的執行主任，同時也是互動計算學院的兼職教師。