Practical AI Strategies

Amid the discourse surrounding the controversial role of generative AI in education, Practical AI Strategies goes beyond the hype to explore the opportunities and challenges of the technology in K-tertiary education. The book looks past individual applications to explore the broader landscape of generative artificial intelligence, offering educators invaluable insights into its workings and ethical considerations. Divided into six parts, Practical AI Strategies guides readers through the construction and ethics of generative AI technologies, navigates policy landscapes and provides practical strategies for using these technologies in education. Detailed sections on text and image generation provide a solid foundation for using generative AI, and prepare educators for multimodal technologies on the near horizon including video, audio and 3D generation. Leon Furze prompts educators to engage critically with generative AI and consider the near future of this rapidly developing technology. He encourages readers to navigate this terrain with an open mind and a discerning eye, and stresses the need for educators to have the fundamental skills to work with generative AI.

Leon Furze is an international consultant, prolific author, and speaker with more than 15 years' experience in education leadership. His PhD studies focus on the impact of generative AI on writing instruction and education. Through state and national conference presentations and consulting services, he guides educators from K-12 to tertiary levels in understanding the implications of generative AI in education.

Acknowledgements About this book Introduction Part 1: What is generative artificial intelligence? Chapter 1 Generative artificial intelligence Chapter 2 What is a prompt? Part 2: Generative AI ethics Chapter 3 Bias and discrimination Chapter 4 Environmental concerns Chapter 5 Truth and misinformation Chapter 6 Copyright and intellectual property Chapter 7 Privacy and datafication Chapter 8 Human labour Part 3: Assessment and school guidelines Chapter 9 Beyond cheating Chapter 10 The AI Assessment Scale Chapter 11 Rethinking assessment for GenAI Chapter 12 Australian Framework for Generative AI in Schools Chapter 13 UNESCO guidelines Chapter 14 Writing school guidelines Chapter 15 Example academic integrity policy Chapter 16 Do you need this application or platform? Part 4: Practical strategies for GenAI Chapter 17 Planning Chapter 18 Refreshing Chapter 19 Improvising Chapter 20 Personalising Chapter 21 Collaborating Chapter 22 Communicating Part 5: Practical strategies for image generation Chapter 23 Critiquing Chapter 24 Sketching Chapter 25 Designing Chapter 26 Visualising Chapter 27 Storyboarding Chapter 28 Creating Part 6: The future of GenAI Chapter 29 Do we all need to be prompt engineers now? Chapter 30 The future of multimodal GenAI Chapter 31 Audio generation Chapter 32 Video generation Chapter 33 3D asset generation Chapter 34 Code generation Chapter 35 Bringing it all together Conclusion References Further reading GenAI apps and services About the author