Free Delivery Over $100
|
|
|||
|
||||
OverviewFull Product DetailsAuthor: David A. JoynerPublisher: Taylor & Francis Ltd Imprint: Routledge Weight: 0.620kg ISBN: 9781032686776ISBN 10: 1032686774 Pages: 232 Publication Date: 27 May 2024 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: In Print  Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsPart 1: Foundational Knowledge 1. Introduction to the Book 2. Basics of Generative AI 3. Ethical Considerations Part 2: Assessment Design with AI 4. AI-Resistant Assessment 5. AI-Conducive Assessment 6. AI-Expansive Assessment Part 2 Wrap-Up Part 3: Chatbots for Instruction 7. AI as Teacher 8. AI as Partner 9. AI as Goal Part 3 Wrap-Up Part 4: AI for Teaching Assistance 10. AI for Course Creation 11. AI for Course Delivery 12. AI for Course Enhancement Part 4 Wrap-UpReviewsAuthor InformationDavid A. Joyner is Principal Research Associate and Executive Director of Online Education and the Online Master of Science in Computer Science as well as Adjunct Faculty in the School of Computing Instruction and the School of Interactive Computing at Georgia Tech College of Computing, USA. Tab Content 6Author Website:Countries AvailableAll regions |
||||
