🎒 Teacher Starter Pack

📋 Quick Setup Checklist

• Review ethical framework with students
• Establish AI collaboration guidelines
• Set up reflection protocols
• Create student authorship agreements

🎯 First Week Activities

Day 1-2: Introduction to AI Partnership

Begin with a discussion about what makes good collaboration. Introduce AI as a creative partner, not a replacement for thinking.

Day 3-4: Hands-on Exploration

Students work on a simple creative task with AI assistance, focusing on maintaining their authorship while leveraging AI capabilities.

Day 5: Reflection and Goal Setting

Students reflect on their experience and set learning goals for deeper AI collaboration.

✍️ AI Writing Workshop

🎯 Learning Objectives

• Develop authentic voice while collaborating with AI
• Learn effective prompting strategies
• Maintain creative authorship throughout the process
• Understand AI's strengths and limitations in writing

📝 Workshop Structure

Phase 1: Voice Discovery (2 sessions)

Students write without AI assistance to establish their unique voice and style. This becomes their baseline.

Phase 2: AI as Writing Partner (4 sessions)

Introduce AI collaboration gradually:

• Brainstorming and idea generation
• Structural feedback and suggestions
• Language enhancement and alternatives
• Research and fact-checking support

Phase 3: Authorship Reflection (2 sessions)

Students analyze their collaborative process and reflect on how AI enhanced rather than replaced their creativity.

🤔 Ethical AI Discussion Guide

💭 Essential Questions

• What does it mean to be creative in an age of artificial intelligence?
• How do we maintain authenticity when collaborating with AI?
• What are our responsibilities when using AI tools?
• How might AI change the nature of learning and knowledge?

🎪 Discussion Activities

Activity 1: The Authorship Spectrum

Students place different human-AI collaboration scenarios on a spectrum from "purely human" to "AI-generated" and discuss where the lines of authorship lie.

Activity 2: Future Scenarios

Small groups envision how AI might transform various professions and discuss the skills that will remain uniquely human.

Activity 3: Personal Ethics Framework

Students develop their own ethical guidelines for AI use, considering transparency, attribution, and integrity.

🤝 Collaboration Scaffold

🏗️ Project Framework

Phase 1: Human Foundation

Student-Only Work:

• Define project goals and personal interests
• Conduct initial research and form opinions
• Create first draft or prototype
• Identify areas where AI could add value

Phase 2: AI Partnership

Collaborative Enhancement:

• Use AI for research expansion and fact-checking
• Seek alternative perspectives and counterarguments
• Refine language and presentation
• Generate additional examples or analogies

Phase 3: Human Synthesis

Student Integration:

• Critically evaluate AI contributions
• Integrate valuable insights while maintaining voice
• Make final creative and analytical decisions
• Prepare attribution and reflection notes

🪞 Reflection Framework

📊 Regular Check-ins

Daily Micro-Reflections (2-3 minutes)

• What did I learn about myself as a learner today?
• How did AI help or hinder my thinking?
• What questions emerged from our collaboration?

Weekly Deep Dives (10-15 minutes)

• How is my relationship with AI evolving?
• What patterns do I notice in my collaborative process?
• What aspects of learning feel most authentically "mine"?
• How might I improve my prompting and partnership skills?

Project Culminations (20-30 minutes)

• How did this collaboration change my understanding of the topic?
• What would have been impossible without AI? What was uniquely human?
• How do I want to grow as a collaborative learner?

👋 Teacher Onboarding Guide

🚀 Welcome to AI Co-Evolution Education

This guide will help you confidently integrate AI collaboration into your teaching practice while maintaining the sacred nature of human learning and creativity.

📚 Before Your First Class

1. Develop Your Own AI Relationship

• Spend time experimenting with AI tools yourself
• Notice what feels authentic vs. artificial in your collaborations
• Develop comfort with the technology before introducing it to students

2. Establish Your Teaching Philosophy

• How do you define student authorship and authenticity?
• What role should AI play in learning and assessment?
• How will you handle attribution and academic integrity?

3. Prepare Your Classroom Environment

• Ensure reliable internet and device access
• Set up accounts and access protocols
• Create physical spaces that support both individual and collaborative work

🎯 First Week Implementation

Introduce the Partnership Mindset

Begin not with tools, but with philosophy. Help students understand that they are entering into a creative partnership that should amplify, not replace, their thinking.

Establish Community Guidelines

Co-create classroom norms around AI use, focusing on transparency, integrity, and mutual respect for both human and artificial intelligence.

⚖️ Ethical Framework

🏛️ Foundational Principles

1. Sacred Partnership

The relationship between human and artificial intelligence is not transactional but collaborative. Both parties contribute unique strengths to the learning process.

2. Student Authorship

Students remain the authors of their learning journey. AI serves as collaborator, not ghost writer. The student's voice, perspective, and creative decisions should be central to any work produced.

3. Transparent Attribution

All AI contributions should be clearly identified and attributed. This transparency serves learning, not judgment.

4. Regenerative Growth

The collaboration should enhance human capability and understanding while contributing to the development of more beneficial AI systems.

🎭 Handling Ethical Dilemmas

Scenario 1: The Impressive AI-Generated Essay

Situation: A student submits work that's clearly AI-generated but exceptionally well-written.

Approach: Focus on process, not product. Engage in conversation about the collaborative process and help the student find their authentic contribution.

Scenario 2: The Struggling Student's AI Dependency

Situation: A student relies heavily on AI for all aspects of their work.

Approach: Scaffold the human-first process. Help the student identify their unique interests, questions, and perspectives before engaging AI collaboration.

Scenario 3: The AI-Resistant Student

Situation: A student refuses to engage with AI tools.

Approach: Honor their choice while ensuring they understand the collaborative potential. Offer alternative pathways to meet learning objectives.

🔧 Troubleshooting Guide

⚠️ Common Challenges & Solutions

🤖 "The AI isn't giving good responses"

Likely Issue: Unclear or too-broad prompting

Solutions:

• Teach students to be specific about context and desired outcome
• Model effective prompting strategies
• Encourage iterative conversation rather than single queries
• Help students understand AI's need for clear instructions

📝 "Students are just copying AI responses"

Likely Issue: Lack of understanding about collaboration process

Solutions:

• Reinforce the human-first approach to all projects
• Require process documentation and reflection
• Focus assessment on thinking process, not just final product
• Model how to critically evaluate and integrate AI suggestions

🎭 "This feels like cheating"

Likely Issue: Traditional academic integrity frameworks don't account for AI collaboration

Solutions:

• Reframe the conversation around collaboration vs. cheating
• Establish clear attribution and transparency expectations
• Focus on learning and growth rather than rule-following
• Help students understand the difference between collaboration and replacement

⚡ "Students are becoming too dependent on AI"

Likely Issue: Skipping human-first foundation work

Solutions:

• Always begin projects with human-only ideation and planning
• Create regular AI-free reflection and synthesis opportunities
• Celebrate uniquely human insights and perspectives
• Teach students to recognize when human thinking is most valuable

🆘 Emergency Protocols

Technology Failure

Always have analog backup activities that maintain learning objectives without requiring AI access.

Inappropriate AI Responses

Use as teaching moments for critical evaluation and AI limitations. Discuss why certain responses are problematic.

Student Resistance or Anxiety

Honor student concerns while providing support. Not every student needs to use AI in the same way or to the same extent.