Computational Thinking in the Age of AI
Building Future-Ready Classrooms
Objectives:
- Understand Computational Thinking (CT): Define CT and its relevance to AI and K-12 education.
- Explore AI's Role in Education: Discuss how AI can support learning and teaching.
- Connect with Covey’s 7 Habits: Highlight how CT and AI align with the habits, fostering leadership and effectiveness.
- Practical Applications: Share strategies and tools for integrating CT into the classroom.
- Promote Resilience and Mindfulness: Address how CT encourages problem-solving and adaptive thinking.
Outline:
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Introduction:
- Why computational thinking matters in K-12 education.
- Brief overview of AI in education.
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What is Computational Thinking?
- Core components: Decomposition, Pattern Recognition, Abstraction, and Algorithm Design.
- Real-world examples in the classroom.
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AI in Education: Opportunities and Challenges:
- Examples of AI tools for learning (adaptive learning platforms, AI tutors).
- Ethical considerations and critical thinking.
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Making the Connection to Covey’s 7 Habits:
- Habit 1: Be Proactive – Teaching students to anticipate challenges with problem-solving.
- Habit 2: Begin with the End in Mind – Designing algorithms with clear goals.
- Habit 3: Put First Things First – Prioritizing tasks in computational problem-solving.
- Habit 4: Think Win-Win – Collaborative AI projects.
- Habit 5: Seek First to Understand, Then to Be Understood – Emphasizing empathy in ethical AI discussions.
- Habit 6: Synergize – Team-based CT activities.
- Habit 7: Sharpen the Saw – Continuous learning and adaptability in tech.
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Engaging Activities for Pre-Service Teachers:
- Interactive unplugged CT activities.
- Simple AI-driven classroom project ideas.
- Reflection prompts on diversity and innovation in teaching practices.
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Resilience and Mindfulness in CT:
- Encouraging a growth mindset.
- Strategies for managing stress and maintaining balance while embracing technology.
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Conclusion and Call to Action:
- Recap key takeaways.
- Encourage participants to experiment with CT in their lessons.
- Share resources for further learning.
Materials:
- Visual aids to illustrate CT concepts.
- Examples of AI tools for education.
- Reflection and activity worksheets.
- Links to resources for exploring CT and AI.