AI Practice for Teacher Candidates: Day 66 — The Do’s and Don’ts of Using AI in the Classroom


 

AI Practice for Teacher Candidates: Day 66 — The Do’s and Don’ts of Using AI in the Classroom

Welcome to Day 66 of the 100-Day Journey!

As AI becomes a regular tool in education, it’s important to establish clear guidelines for responsible use. Today, we’ll explore the do’s and don’ts of using AI in the classroom to ensure ethical and effective integration.

✅ Do’s: Best Practices for AI in Education

  1. Encourage AI as a Learning Aid

    • Use AI to support, not replace, student thinking and creativity.
    • Example: AI can help brainstorm essay ideas, but students should write their own content.

  2. Teach Critical AI Literacy

    • Help students evaluate AI-generated content for accuracy, bias, and credibility.
    • Example: Fact-check AI responses with trusted sources before using them.

  3. Use AI for Differentiated Instruction

    • AI can provide personalized support for students with diverse learning needs.
    • Example: AI-powered reading tools can adjust texts to different comprehension levels.

  4. Ensure Student Data Privacy

    • Choose AI tools that comply with privacy laws (e.g., FERPA, GDPR).
    • Example: Avoid AI tools that collect excessive student information.

  5. Encourage Responsible AI Use

    • Guide students in ethical AI practices, including attribution and proper credit.
    • Example: If students use AI-generated visuals, they should acknowledge the tool.

❌ Don’ts: Common Pitfalls to Avoid

  1. Don’t Rely on AI for Grading Complex Work

    • AI can assist with grading but shouldn’t replace teacher judgment for essays or creative assignments.
    • Example: AI may not understand nuance in student arguments or reflections.

  2. Don’t Allow AI to Replace Student Effort

    • AI-generated work should supplement, not substitute, student learning.
    • Example: If AI writes a summary, students should analyze and critique it instead of submitting it directly.

  3. Don’t Ignore AI Bias

    • AI models may reflect societal biases in their outputs—always analyze with a critical eye.
    • Example: AI-generated historical summaries may lack diverse perspectives.

  4. Don’t Use AI Without Clear Guidelines

    • Set expectations for when and how AI can be used in assignments.
    • Example: Provide an AI usage policy in your syllabus to prevent misuse.

  5. Don’t Assume All AI Tools Are Reliable

    • Some AI platforms produce inaccurate or misleading content—verify all information.
    • Example: AI-generated science facts may not align with the latest research.

Practical Task: AI Classroom Guidelines Activity

  1. Create a Class AI Policy

    • Work with students to draft classroom AI usage rules.

  2. Analyze an AI Output Together

    • Have students review an AI-generated text for bias, errors, and missing perspectives.

  3. Discuss Ethical AI Scenarios

    • Present different AI usage cases and let students decide if they align with ethical AI practices.

  4. Build an AI “Acceptable Use” Checklist

    • Have students list responsible ways to use AI for learning.

Reflection Questions

  1. What AI practices should be emphasized in the classroom?
  2. How can teachers help students use AI responsibly?
  3. What challenges might arise in enforcing AI guidelines, and how can they be addressed?

Pro Tip: Model Ethical AI Use

Demonstrate how you use AI as a tool—showing transparency encourages students to use AI responsibly.

Looking Ahead

Tomorrow, we’ll explore how AI can be used to promote equity in education, ensuring that AI benefits all students fairly.

You’re setting strong foundations for ethical AI use—fantastic job! See you on Day 67! 🤖✨

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