Primary Navigation (50/32) -- AI for Teachers: an Open Textbook

Primary Navigation Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices. Book Contents Navigation About the book Acknowledgements About the Project Preface 1. Technology, Change and You 2. AI is Everywhere 3. AI Already in Education 4. How AI Can Help You 5. Why not just do AI - Part 1 6. Why not just do AI - Part 2 7. Search Engines Part 1 8. Search Engines Part 2 9. AI Speak: Machine Learning 10. AI Speak: Search Engine Indexing 11. AI Speak: Search Engine Ranking 12. Behind the Search Lens: Effects of Search on the Individual 13. Behind the Search Lens: Effects of Search on the Society 14. Smart Learning Management Systems Manuel Gentile and Giuseppe Città 15. Learning Analytics and Educational Data Mining Azim Roussanaly; Anne Boyer; and Jiajun Pan 16. AI-Speak: Data-based systems, part 1 17. AI-Speak: Data-based Systems, part 2 18. Issues with Data: Personal Identity 19. Issues with Data: Bias and Fairness 20. A Note on Personalisation 21. Adaptive Learning Systems 22. AI Speak: How Youtube Learns You, part 1 23. AI Speak: How Youtube Learns You, part 2 24. AI-Speak: How Adaptive Systems Learn the Learner, part 1 25. AI-Speak: How Adaptive Systems Learn the Learner, part 2 26. The Flip Side of ALS: Some Paradigms to take note of 27. Translators 28. Writing with AI 29. AI-Speak: Deep Neural Networks 30. AI-Speak: Natural Language Processing 31. AI, AIED and Human Agency Wayne Holmes 32. Homogenisation, Invisibility and beyond, towards an Ethical AI 33. Introducing Generative and Conversational AI Michael Hallissy and John Hurley 34. Generative AI for the Classroom, part 1 35. Generative AI for the Classroom, part 2 36. ChatGPT and its Potential Impact on Homework in Schools 37. The Gears of Generative AI Manuel Gentile and Fabrizio Falchi 38. The Art, Craft or Science of Prompting Bastien Masse 39. The Degenerative, part 1 40. The Degenerative, part 2 41. Open or closed? 42. Artificial Intelligence, Homework, Exams and so forth 43. Obsolescence? 44. Individual or collective AI 45. Teaching AI Optical Character Recognition 42 A brief description of some search engines Optimising search X5GON Does Data always have to be labelled? How many features are too many? Hands-on Machine Learning Cookies and Fingerprinting More on Big Data Other terms related to Personalised learning AI technology is moving fast Some automatic translation vocabulary Understanding debates on the possible dangers of AI Generative AIs - where should a teacher use them? Transformers GDPR in a nutshell AI and Coding Machine Learning and AI Through Data Experiments in Orange Blaž Zupan As a very provisional conclusion... Additional Content Previous/next navigation AI for Teachers: an Open Textbook Copyright © 2024 by Colin de la Higuera and Jotsna Iyer is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.