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4.1: Recap- What You Now Know About AI

  • Page ID
    253345

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    This guide has walked you through the core concepts, challenges, and opportunities of using AI in teaching and learning. Whether you’re just beginning to explore AI tools or refining your approach, you now have a foundation to make informed, ethical, and student-centered decisions.

    ✅ Key Takeaways
    You now understand:

    • What AI is and how it works in educational settings, including generative and assistive applications
    • Where AI can support instruction, from drafting materials to offering personalized feedback and accessibility enhancements
    • The importance of ethical considerations, including bias, transparency, data privacy, and consent
    • How to integrate AI into your course using frameworks, sample policies, and opt-in practices
    • Why accessibility and equity must guide AI use, especially for marginalized and disabled learners
    • How to communicate with students about AI’s role in your course and set clear expectations


    🎓 Why This Matters for Instructors

    Being AI-informed means more than learning the tools—it means understanding the responsibilities that come with them. By applying what you’ve learned, you can lead with clarity, compassion, and confidence in your teaching practice, ensuring that AI enhances—rather than disrupts—student learning.


    This page titled 4.1: Recap- What You Now Know About AI is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by .


    This page titled 4.1: Recap- What You Now Know About AI is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Pamela Huntington.

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