Week 5
Week 6 of 6
Exit Slides

Week 6: Sustainable Governance

Building for the long term

Today’s Session

  • Why AI governance requires ongoing structures
  • Building effective governance teams
  • Policy review and adaptation processes
  • Stakeholder engagement strategies

Why One-Time Policy Fails

  • Capabilities evolve every few months
  • New tools emerge constantly
  • Student behaviors change rapidly
  • Faculty needs shift as understanding grows

Governance vs Policy

  • Policy: Written rules, guidelines, and expectations
  • Governance: Structures for creating, reviewing, updating policy

Essential Governance Roles

  • AI Coordinator or Committee
  • Department Representatives
  • Student Representatives
  • Parent and Community Voice

Clarifying Decision Authority

  • Board level: Major policy direction, resource allocation
  • Administrative: Policy frameworks, enforcement approaches
  • Department: Subject-specific applications
  • Teacher: Assignment-level decisions within framework

Meeting Cadence That Works

  • Annual review: Comprehensive policy assessment
  • Quarterly check-ins: Implementation progress, emerging issues
  • Monthly conversations: Department discussions about practice
  • As-needed response: Process for urgent issues

Scheduled Policy Review

  • End of year: Comprehensive assessment
  • Mid-year: Implementation check and adjustments
  • Beginning of year: Policy updates based on review

Trigger-Based Review

  • Major new AI capabilities
  • Significant integrity incidents revealing gaps
  • Regulatory or legal changes affecting schools
  • Widespread community concerns requiring response

Adaptation Principles

  • Preserve foundational values even as rules change
  • Address genuine problems, not imagined fears
  • Avoid overreaction to isolated incidents
  • Communicate changes clearly with rationale

Stakeholder Engagement Strategy

  • Teachers: Regular forums, clear feedback channels
  • Students: Age-appropriate involvement, safe input mechanisms
  • Parents: Regular communication, education opportunities
  • Community: Local industry, higher education perspectives

Student Voice in Governance

  • High school student representatives in discussions
  • Anonymous surveys revealing actual student experience
  • Pilot testing new approaches with student feedback
  • Student-led peer education about AI use

Parent and Community Engagement

  • Annual parent education sessions about AI
  • Regular communication about policy updates
  • Parent advisory group providing community perspective
  • Resources for supporting appropriate use at home

Change Management

  • Pace changes to allow adjustment
  • Provide clear communication about why changes matter
  • Support implementation with training and resources
  • Allow time for new approaches to become normal

Addressing Resistance Productively

  • Principled disagreement: Engage and discuss
  • Fear about capability: Address with support
  • Misunderstanding: Clarify communication
  • Exhaustion from change: Acknowledge and pace

Future Planning in Uncertainty

Plan for multiple futures, not one assumed path.

Scenario Planning

  • What if AI becomes even more capable?
  • What if regulation restricts school AI use?
  • What if AI tools become required for college?
  • What if privacy concerns limit available tools?

Monitoring AI Developments

  • Education technology publications and conferences
  • AI vendor announcements about new capabilities
  • Peer school networks sharing experiences
  • Higher education AI policy developments

Building Institutional Learning

  • Document what works and what fails
  • Share lessons across departments
  • Create repository of effective practices
  • Maintain institutional memory as people change roles

Measuring Governance Success

  • Policy reviews completed on schedule
  • Stakeholder participation in governance
  • Response time to emerging issues
  • Communication reach and engagement

Outcome Metrics

  • Student AI literacy development
  • Academic integrity incident rates
  • Teacher confidence and capability
  • Community satisfaction with approach

Learning and Improvement Metrics

  • Policy iterations based on evidence
  • Lessons documented and applied
  • Productive innovation and experimentation
  • Decreasing time to address new issues

Common Governance Failures

  • Creating governance structure that never meets
  • Top-down mandates without teacher or student voice
  • Reactive crisis management instead of proactive planning
  • Static governance that never adapts

Building Institutional Capacity

  • Document policies and processes clearly
  • Develop internal expertise, not just external dependence
  • Create succession plans for key governance roles
  • Build networks with peer schools

Developing AI Leadership

  • Identify emerging teacher leaders in AI integration
  • Create opportunities for leadership experience
  • Support advanced professional learning
  • Plan for leadership succession as people move

Connecting to Strategic Planning

  • Link AI approach to educational mission
  • Align AI investments with strategic priorities
  • Connect AI literacy to graduate profile
  • Use AI as catalyst for broader innovation

Resource Planning

  • Professional development time and expertise
  • Technology infrastructure and support
  • Curriculum development for AI literacy
  • Assessment redesign support
  • FERPA and COPPA as AI tools evolve
  • Accessibility requirements for new assessment formats
  • Copyright and intellectual property in AI era
  • Emerging AI-specific regulations

Network and Partnership Development

  • Regional school consortia addressing AI together
  • Subject-area professional associations
  • Higher education partners on AI literacy
  • Industry connections for career preparation

Course Synthesis

Over six weeks, you have learned complete AI governance framework.

The Six Weeks

  • Week 1: Understanding current AI reality in schools
  • Week 2: Developing values-based, enforceable policy
  • Week 3: Enabling faculty through professional development
  • Week 4: Teaching students AI literacy across grades
  • Week 5: Redesigning assessment for AI era
  • Week 6: Building governance for continuous adaptation

Key Principles Revisited

  • Foundation: Start with educational values, not fear
  • Honesty: Acknowledge reality about student behavior
  • Equity: Address access gaps, do not ignore them
  • Adaptation: Build for change, not static solutions

Your Next Steps

Immediate actions after this course.

First 30 Days

  • Conduct baseline assessment
  • Establish or formalize governance structure
  • Begin faculty awareness professional development
  • Draft initial policy framework

First 90 Days

  • Complete Tier 1 professional development for all faculty
  • Adopt initial AI policy with clear communication
  • Launch student AI literacy pilot in selected classes
  • Begin assessment redesign in high-priority areas

First Year

  • Full implementation across grade levels
  • Quarterly governance reviews and adjustments
  • Comprehensive year-end evaluation
  • Planning for year two based on evidence

Common Implementation Mistakes

  • Trying to implement everything simultaneously
  • Skipping faculty development to jump to policy
  • Ignoring student and parent voices
  • Treating implementation as one-time project

Workshop Activity

Create your implementation roadmap.

Action Planning Steps

  • Identify governance team members and meeting schedule
  • Plan baseline assessment of current state
  • Design faculty professional development sequence
  • Draft initial policy framework with stakeholder input

Resources for Ongoing Learning

  • ISTE standards for AI literacy
  • UNESCO guidance on AI in education
  • Common Sense Media AI resources for schools
  • Regional education technology collaboratives

Final Key Takeaway

Sustainable AI governance requires structures and processes, not just policy documents.

The Imperative

Build governance enabling ongoing adaptation while maintaining educational values and community trust.

Closing Reflection

AI in education is not going away. It will only become more integrated.

Your Role

Your students will use AI throughout their lives. The question is whether they use it thoughtfully, critically, and ethically.

Course Completion

You now have complete framework for AI governance in K-12 schools.

You Have Gained

  • Understanding of AI reality in K-12 schools
  • Framework for developing effective policy
  • Strategies for faculty enablement
  • Curriculum for student AI literacy
  • Approaches to assessment redesign
  • Governance structures for sustainability

Stay Connected

Share your experiences. Learn from others. Keep adapting.

We Are All Learning

AI governance is not solved. It is continuously improved. Your contributions to the field matter.