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Explore the Five Phases of District AI Adoption to responsibly integrate AI into your school system. This session provides a roadmap for K-12 technology leaders, guiding them through secure, phased AI implementation that aligns with district policies, curriculum integration, and community outreach.
Explore the Five Phases of District AI Adoption to responsibly integrate AI into your school system. This session provides a roadmap for K-12 technology leaders, guiding them through secure, phased AI implementation that aligns with district policies, curriculum integration, and community outreach.
Today's Agenda
Today's Agenda
- Introducing the Five Phases of School AI Adoption
- Gauging Your Placement
- Planning Your Next Steps
- Think-Pair-Share
- Wrap-Up
A Self-Assessment
A Self-Assessment
The five adoption phases are briefly described below:
AI Secured. At this phase, AI usage is prohibited or discouraged.
AI Exploration. In this phase, guardrails are available that allow exploration of free versions of digital tools.
AI Pilot Programs. Managed AI tools are introduced for specific purposes.
AI Unification. A clear district-wide approach to centralized AI use is in place and it is integrated into key areas.
AI Everywhere. AI is fully integrated into school district policies, procedures, curriculum, and guidance is available to all.
It is unlikely that any school is at Phase 5, and getting there may take years of sustained effort and massive funding. And getting from Phase 1 (AI Secured) to Phase 3 (AI Exploration) involves constructing new ways of teaching, learning, leading, and outreach.
Digital Self-Assessment
Digital Self-Assessment
Take a moment to complete this assessment online. You will be prompted to ask several questions before getting your results.
Think-Pair-Share
Think-Pair-Share
Think - How can you shift to the next phase of AI adoption? Should you shift?
Pair - Get with someone else and discuss your thoughts.
Share - Select a person to share aloud.
Planning Next Steps
Planning Next Steps
Now that you have an idea of what phase of AI Adoption your organization falls into, you may be asking the real question of, “How do I get my school or district to move forward to the next phase?” One thing is for certain. You can’t do it alone. It will require a concerted effort from everyone on your team. If you are a school district leader and lack the trust, relationships, and political capital to get things done, shifting phases from Exploration to Unification may be impossible.
Now that you have an idea of what phase of AI Adoption your organization falls into, you may be asking the real question of, “How do I get my school or district to move forward to the next phase?” One thing is for certain. You can’t do it alone. It will require a concerted effort from everyone on your team. If you are a school district leader and lack the trust, relationships, and political capital to get things done, shifting phases from Exploration to Unification may be impossible.
- Merge groups. Now that you know what phase you are in, find another group of 2-3 people (4-5 total).
- Discuss. Focus your conversation on reviewing suggestions to transition from one phase to another. Discuss the realities of your situation.
Policy Revision: Update district policies to allow for the exploration and use of AI tools for educational purposes. Clearly outline any restrictions or guardrails that teachers need to be aware of.
Professional Development: Provide teachers with training and resources on how to evaluate and use AI tools responsibly. This could include workshops, online courses, or access to experts in the field.
Account Management: Set up individual teacher accounts for approved AI tools, allowing them to start experimenting in a controlled environment.
Communication: Inform parents and the community about the district’s decision to allow AI exploration. Emphasize the focus on responsible use and the potential benefits for student learning.
Pilot Projects: Encourage teachers to pilot AI tools in their classrooms and gather feedback on their experiences. This will help the district make informed decisions about future AI adoption.
The transition from Phase 1 to Phase 2 involves a shift in mindset and policy. What’s more, teachers and staff must have the necessary support and resources to explore AI tools effectively and responsibly. And, they have to believe it’s necessary.
The transition from Phase 1 to Phase 2 involves a shift in mindset and policy. What’s more, teachers and staff must have the necessary support and resources to explore AI tools effectively and responsibly. And, they have to believe it’s necessary.
Transitioning from Phase Two to Three
Transitioning from Phase Two to Three
To transition from Phase 2: AI Exploration to Phase 3: AI Pilot Programs, the school district needs to:
leverage the learnings and insights from their exploration phase
implement AI in a more targeted and structured manner.
Some approaches it can take include:
Identify Goals and Target Areas: Based on teacher feedback and the district’s overall objectives, identify specific areas where AI can have the most impact. These could be improving writing skills, supporting struggling students, or enhancing STEM education.
Select Appropriate AI Tools: Choose AI tools that align with the identified goals and are suitable for use in the classroom. Consider factors such as ease of use, data privacy, and accessibility.
Develop Guidelines and Training: Create clear guidelines for teachers on how to effectively use AI tools in their pilot programs. Provide targeted professional development to ensure they feel confident and prepared.
Launch Pilot Programs: Introduce the selected AI tools into specific classrooms or grade levels, focusing on the targeted areas. Monitor the pilot programs closely, gather feedback, and measure the impact on student learning and engagement.
Expand Access: Based on the success of the pilot programs, gradually expand access to AI tools to other teachers and subject areas.
The key shift in this is focused implementation. It is worth getting a team together to set clear goals, strategically select AI tools, and saturate everything done with professional learning on blending AI into their work. What do AI use cases look like? How do they save time? How much time do they save? How do they make the work of teaching, learning, and leading less difficult?
The key shift in this is focused implementation. It is worth getting a team together to set clear goals, strategically select AI tools, and saturate everything done with professional learning on blending AI into their work. What do AI use cases look like? How do they save time? How much time do they save? How do they make the work of teaching, learning, and leading less difficult?
Stepping from Phase Three to Four
Stepping from Phase Three to Four
Stepping from Phase 3: AI Pilot Programs to Phase 4: AI Unification suggests a broader blending of AI across the district.
To get this change going, consider these tips:
Evaluate & Refine: Thoroughly evaluate the outcomes of your pilot programs. Identify what worked well, areas needing improvement, and collect feedback from teachers and students. Use these insights to refine your approach to AI implementation.
District-wide Policy: Develop a comprehensive AI policy that outlines district-wide guidelines for AI use, including data privacy, ethical considerations, and acceptable use cases.
Centralized Management: Implement a centralized system for managing AI tool access and usage across the district. This ensures consistency, facilitates monitoring, and helps address any concerns related to equity and access.
Expand Integration: Based on successful pilots and teacher readiness, strategically expand the use of AI tools across different grade levels and subject areas.
Professional Development: Provide ongoing professional development opportunities for teachers, focusing on advanced AI integration techniques and best practices.
Curriculum Alignment: Collaborate with curriculum specialists to incorporate AI tools and concepts into the curriculum, ensuring alignment with learning objectives and standards.
Regular Assessment: Establish a system for regular assessment and evaluation of AI’s impact on student learning and achievement. Use data-driven insights to inform future decisions and improvements.
In this step from Phase Three to Four, you are scaling-up of AI adoption. This will involve district-wide coordination, standardizing practices, and refining curriculum, teaching approaches with AI.
In this step from Phase Three to Four, you are scaling-up of AI adoption. This will involve district-wide coordination, standardizing practices, and refining curriculum, teaching approaches with AI.
Progressing from Phase Four to Phase 5
Progressing from Phase Four to Phase 5
The progression from Phase 4: AI Unification to Phase 5: AI Everywhere represents a complete integration of AI into the fabric of the school district’s operations and culture.
At this point, we can only imagine what this might look like.
Seamless Access: Implement a single sign-on system for all AI tools used within the district, providing seamless access for both students and teachers.
AI in all aspects of learning: Embed AI tools not only in the curriculum, but also in administrative tasks, professional development, and student support services.
Comprehensive Guidance: Continuously update and refine AI guidelines and support resources to address emerging challenges and opportunities. Ensure all stakeholders, including students, teachers, administrators, and parents, are well-informed about responsible AI use.
Community Engagement: Actively engage the community in discussions about the role of AI in education. Foster an open dialogue and address any concerns related to ethics, privacy, and equity.
Lifelong Learning: Promote a culture of lifelong learning around AI, encouraging teachers and students to stay abreast of advancements and explore innovative applications.
Moving from Phase Four to Five means that AI has become an integral and ubiquitous part of the schooling experience. In this environment, AI powers teaching, learning, and decision-making at all levels.
Moving from Phase Four to Five means that AI has become an integral and ubiquitous part of the schooling experience. In this environment, AI powers teaching, learning, and decision-making at all levels.
School AI Policy Guide (a.k.a. Compass)
School AI Policy Guide (a.k.a. Compass)
Need to craft a school AI policy? Ask Compass: School AI Policy Guide to assist you in getting the job done. It offers a variety of benefits and draws upon extensive resources.
Need to craft a school AI policy? Ask Compass: School AI Policy Guide to assist you in getting the job done. It offers a variety of benefits and draws upon extensive resources.
Get started!
Get started!
Compass is an AI guide for schools to help in the creation of custom AI policies that suit their unique district needs. Compass analyzes existing documents and local regulations to propose AI policy templates tailored for K-12 educational settings.
Compass is an AI guide for schools to help in the creation of custom AI policies that suit their unique district needs. Compass analyzes existing documents and local regulations to propose AI policy templates tailored for K-12 educational settings.
These templates will cover aspects like generative AI, third-party AI tools, data privacy, ethical considerations, and any specific regional statutes or guidelines provided. Compass incorporates relevant legal, educational, and operational details based on user-uploaded documents and demographic inputs such as district size, population, and student diversity.
These templates will cover aspects like generative AI, third-party AI tools, data privacy, ethical considerations, and any specific regional statutes or guidelines provided. Compass incorporates relevant legal, educational, and operational details based on user-uploaded documents and demographic inputs such as district size, population, and student diversity.
When reviewing user documents, Compass summarizes key points, identifies applicable legal frameworks, and includes suggestions to ensure compliance and ethical AI use in education. If guidance on specific areas of AI policy is needed, Compass will clarify and provide detailed examples based on best practices in the field.
When reviewing user documents, Compass summarizes key points, identifies applicable legal frameworks, and includes suggestions to ensure compliance and ethical AI use in education. If guidance on specific areas of AI policy is needed, Compass will clarify and provide detailed examples based on best practices in the field.
You can use one of the premade prompts or ask a question.
You can use one of the premade prompts or ask a question.
Further Reading
Further Reading
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