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David 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.
Part 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-Up
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Didaktik/Methodik/Schulpädagogik/Fachdidaktik |
| Genre: | Erziehung & Bildung, Importe |
| Rubrik: | Sozialwissenschaften |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781032671154 |
| ISBN-10: | 1032671157 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Joyner, David A. |
| Hersteller: | Routledge |
| Verantwortliche Person für die EU: | Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com |
| Maße: | 229 x 152 x 14 mm |
| Von/Mit: | David A. Joyner |
| Erscheinungsdatum: | 27.05.2024 |
| Gewicht: | 0,371 kg |