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AI Best Practices for Educators

A Framework for Responsible and Effective Integration of Generative AI in the Classroom.

 

Core Principles for AI in Education 💡

  • 🍎 Pedagogy First

    AI is a POWERFUL TOOL to enhance learning outcomes, not a solution to replace fundamental teaching methods. Focus on the educational value and student growth.

  • 🔎 Transparency & Honesty

    Model and require clear DISCLOSURE regarding when and how AI was used by both students and instructors to maintain academic integrity.

  • 🧠 Critical Thinking

    The focus must shift from content generation to VERIFICATION, ethical critique, and complex problem-solving based on AI output.

Actionable Best Practices for Educators

🛡️ Re-evaluating Academic Integrity & Assessment

  • •
    Define “Authorized Use”: Clearly outline what AI tools are permissible for specific assignments (e.g., idea generation vs. final drafting).
  • •
    Shift Assessment: Design tasks that AI struggles with, such as personalized reflection, local context analysis, oral defenses, or applying knowledge in unique, evolving scenarios.
  • •
    Focus on Process: Grade the steps, drafts, and prompt history used to arrive at the final product, not just the output.

💡 Teach Effective Prompt Engineering

  • •
    Skills over Content: Frame AI interaction as a communication and critical thinking skill, focusing on specificity, tone, and role-playing in prompts.
  • •
    Iterative Prompting: Teach students to refine initial prompts and outputs, viewing AI generation as a first draft, not a conclusion.
  • •
    Model Good Behavior: Demonstrate how to use AI to draft rubrics, generate examples, or create study guides, showing your own process transparently.

🔍 Instill Critical Evaluation and Fact-Checking

  • •
    Combat Hallucination: Explicitly teach students about the concept of AI “hallucination” and the absolute need to verify all sources and facts.
  • •
    Source Tracking: Require students to treat AI-generated information as uncited, non-authoritative content until they locate and cite original, credible sources.
  • •
    Bias Awareness: Discuss how AI models reflect the data they were trained on. Teach students to critique output for fairness and representation.

🤝 Promote Equity and Accessibility

  • •
    Universal Access: Ensure all students have equitable access to the approved AI tools, or design tasks that are equally challenging/feasible with or without the tools.
  • •
    Differentiation: Utilize AI for scaffolding (e.g., simplifying complex texts, translating, generating alternate explanations) to support diverse learning needs.
  • •
    Language Support: Use AI to help non-native speakers participate more fully in assignments and discussions, leveling the playing field.

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