Gamifying AI in Higher Education : Teaching Generative Artificial Intelligence Fluency

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Gamifying AI in Higher Education : Teaching Generative Artificial Intelligence Fluency

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 202 p.
  • 言語 ENG
  • 商品コード 9781041033776

Full Description

Gamifying AI in Higher Education explores effective ways to leverage the affordances of generative AI through gamification in higher education classrooms.

The broad availability of artificial intelligence technologies has forced educators to consider their advantages and disadvantages in learning environments and their potential to support or disrupt student engagement. Driven by an original, evidence-based framework, these original chapters provide prompts, scenarios, roles for students and bots, game setup, and assessment while connecting AI use to digital literacies and learning outcomes. The book's emphasis on critical thinking, decision-making, and problem-solving skills helps students experience firsthand the strengths and weaknesses, as well as the promises and threats, of generative AI within the safety of a try-fail-try-again learning environment afforded by gamification.

Teaching faculty and learning designers will find fresh, hands-on ideas and concrete scenarios to seamlessly integrate generative AI literacy into their lesson plans and courses.

Contents

Section 1: Exploring Generative AI & Gamification 1. Gamification 2. Generative AI and AI Fluency 3. Merging Generative AI into Gamification Section 2: Discovering Capabilities & Ethical Use 4. Breadcrumbs Don't Always Lead to the Baker 5. Did They Come from Outer Space? 6. Environmental Disaster 7. The Great Debate 8. A Legendary Quest 9. Blinded by Science 10. The Curious Branching Case Study Section 3: Illuminating Accuracy & Hallucinations 11. Rockhound 12. The Case of the Inept AI Detective 13. GenAI's Scandalous Research 14. AI Witness for the Prosecution or the Defense? 15. Embedded with Alexander's Army 16. Escape! Escape if You Can! Section 4: Revealing Biases & Stereotyping 17. Diagnosis AI 18. On the Trail of the Notorious AI Artist 19. Conclusion

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