The AI Innovation Index Framework
The AI Innovation Index positions school systems to 1) gauge their AI innovation progress vs national benchmarks and sector-wide averages and 2) identify top-performing peers to learn from. The Index measures school system AI innovation across three pillars.
Student Agency
Measured via bi-annual, 4-question pulse survey, with no student PII collected.
Student Perspective Metrics
We see the cultivation of student AI agency as the most critical component of school system AI innovation. The metrics below are drawn from key themes arising out of prominent student-facing AI literacy standards, including the AI Readiness Framework from aiEDU and the AI Literacy Framework from the OECD, European Commission, and Code.org.
| Domain | Student Perspective Metric | Level 1 Baseline |
Level 2 Emerging |
Level 3 Progressing |
Level 4 Advanced |
|---|---|---|---|---|---|
|
Understanding AI's Impact
|
I understand how AI can be both helpful and harmful to me and others.
|
<35%
|
35%
|
45%
|
55%
|
|
Understanding AI's Design
|
I understand how AI systems work, including how they use data, find patterns, and make predictions.
|
<30%
|
30%
|
40%
|
50%
|
|
Skilled Use of AI
|
I have learned strategies for effectively using AI tools, like identifying whether a given tool will be helpful, writing effective prompts, engaging the AI to improve output, and evaluating AI output for accuracy.
|
<30%
|
30%
|
40%
|
50%
|
|
AI Agency
|
I have learned how to design and build with AI to address real-world challenges.
|
<20%
|
20%
|
30%
|
40%
|
Understanding AI's Impact
I understand how AI can be both helpful and harmful to me and others.
Level 1 (Baseline): <35%
Level 2 (Emerging): 35%
Level 3 (Progressing): 45%
Level 4 (Advanced): 55%
Understanding AI's Design
I understand how AI systems work, including how they use data, find patterns, and make predictions.
Level 1 (Baseline): <30%
Level 2 (Emerging): 30%
Level 3 (Progressing): 40%
Level 4 (Advanced): 50%
Skilled Use of AI
I have learned strategies for effectively using AI tools, like identifying whether a given tool will be helpful, writing effective prompts, engaging the AI to improve output, and evaluating AI output for accuracy.
Level 1 (Baseline): <30%
Level 2 (Emerging): 30%
Level 3 (Progressing): 40%
Level 4 (Advanced): 50%
AI Agency
I have learned how to design and build with AI to address real-world challenges.
Level 1 (Baseline): <20%
Level 2 (Emerging): 20%
Level 3 (Progressing): 30%
Level 4 (Advanced): 40%
* Benchmarks reflect % who strongly-agree + agree (on 5 point likert scale)
Staff Empowerment
Measured via bi-annual, 4-question pulse survey pushed to staff email inboxes.
Staff Perspective Metrics
AI is democratizing the ability to innovate with technology. To capitalize on this opportunity and both attract and retain top talent, school systems must find ways to position frontline staff to innovate and explore AI’s opportunities and risks, all while ensuring safeguards and alignment with organizational strategy. The metrics below – prioritized by our school system leaders across the country – distill our vision for ‘staff AI empowerment.’
| Domain | Staff Perspective Metric | Level 1 Baseline |
Level 2 Emerging |
Level 3 Progressing |
Level 4 Advanced |
|---|---|---|---|---|---|
|
AI Leadership
|
My school district has systems and practices that encourage responsible AI innovation.
|
<55%
|
55%
|
65%
|
75%
|
|
AI Discourse
|
In my immediate work team, we openly discuss AI's benefits and challenges for our workflows.
|
<50%
|
50%
|
60%
|
70%
|
|
AI for Role Efficacy
|
AI tools help me perform my role more effectively.
|
<55%
|
55%
|
65%
|
75%
|
|
AI for Staff Retention
|
The opportunity to use AI tools increases my interest in continuing work in the education sector.
|
<40%
|
40%
|
50%
|
60%
|
AI Leadership
My school district has systems and practices that encourage responsible AI innovation.
Level 1 (Baseline): <55%
Level 2 (Emerging): 55%
Level 3 (Progressing): 65%
Level 4 (Advanced): 75%
AI Discourse
In my immediate work team, we openly discuss AI's benefits and challenges for our workflows.
Level 1 (Baseline): <50%
Level 2 (Emerging): 50%
Level 3 (Progressing): 60%
Level 4 (Advanced): 70%
AI for Role Efficacy
AI tools help me perform my role more effectively.
Level 1 (Baseline): <55%
Level 2 (Emerging): 55%
Level 3 (Progressing): 65%
Level 4 (Advanced): 75%
AI for Staff Retention
The opportunity to use AI tools increases my interest in continuing work in the education sector.
Level 1 (Baseline): <40%
Level 2 (Emerging): 40%
Level 3 (Progressing): 50%
Level 4 (Advanced): 60%
* Benchmarks reflect % who strongly-agree + agree (on 5 point likert scale)
Leader Condition-Setting
Measured via bi-annual self-assessment, completed by C-suite and/or AI task force.
Vision, Strategy, & Structures
Thoughtful AI innovation requires intentional strategic direction rather than ad-hoc adoption. Without foundational elements like shared values, designated leadership roles, and effective task forces, organizations risk fragmented implementation that conflicts with institutional goals and values.
Leadership Metric
Level 1
Baseline
Baseline
Level 2
Emerging
Emerging
Level 3
Progressing
Progressing
Level 4
Advanced
Advanced
1. Set a Shared Vision
We have not yet started a process to outline AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
We have started a process to outline AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
We have outlined and shared with employees AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
Level 3 PLUS: Member(s) of the C-suite have explicitly communicated support for -- or led the initial communication about -- the AI-specific values, vision, and/or strategy.
2. Establish Role Clarity
We have not yet made plans for incorporating AI leadership into the job description(s) and scorecards for one or more senior leadership roles in our organization.
We are making plans for incorporating AI leadership into the job description(s) and scorecards for one or more senior leadership roles in our organization.
AI leadership is explicitly reflected in the job description(s) and scorecards for one or more senior leadership roles in our organization.
Level 3 PLUS: There are clear decision-rights for major AI workstreams.
3. Lead a Task Force
We have not yet made plans to launch an AI task force.
We are making plans to launch an AI task force.
We have launched and regularly convene an AI task force that either includes a member of the C-suite or has a mechanism for regular reporting to the C-suite.
Level 3 PLUS: The work of the task force is guided by clear objectives, and the group has a successful track record of accomplishing its objectives.
4. Establish Staff Usage Policy
We are not yet developing or drafting a staff AI usage policy.
We are developing or have drafted a staff AI usage policy.
We have shared a staff AI usage policy that sets clear guardrails for personally identifiable information (PII) and ensures compliance with FERPA, COPPA, and state privacy laws.
Level 3 PLUS: We have implemented mandatory training on the usage policy for all staff. We are exploring how to monitor compliance metrics, risk incidents, and policy effectiveness.
1. Set a Shared Vision
Level 1:
Baseline
We have not yet started a process to outline AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
Level 2:
Emerging
We have started a process to outline AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
Level 3:
Progressing
We have outlined and shared with employees AI-specific values, vision, and/or strategy in a way that coheres with existing organizational values, vision, and/or strategy.
Level 4:
Advanced
Level 3 PLUS: Member(s) of the C-suite have explicitly communicated support for -- or led the initial communication about -- the AI-specific values, vision, and/or strategy.
2. Establish Role Clarity
Level 1:
Baseline
We have not yet made plans for incorporating AI leadership into the job description(s) and scorecards for one or more senior leadership roles in our organization.
Level 2:
Emerging
We are making plans for incorporating AI leadership into the job description(s) and scorecards for one or more senior leadership roles in our organization.
Level 3:
Progressing
AI leadership is explicitly reflected in the job description(s) and scorecards for one or more senior leadership roles in our organization.
Level 4:
Advanced
Level 3 PLUS: There are clear decision-rights for major AI workstreams.
3. Lead a Task Force
Level 1:
Baseline
We have not yet made plans to launch an AI task force.
Level 2:
Emerging
We are making plans to launch an AI task force.
Level 3:
Progressing
We have launched and regularly convene an AI task force that either includes a member of the C-suite or has a mechanism for regular reporting to the C-suite.
Level 4:
Advanced
Level 3 PLUS: The work of the task force is guided by clear objectives, and the group has a successful track record of accomplishing its objectives.
4. Establish Staff Usage Policy
Level 1:
Baseline
We are not yet developing or drafting a staff AI usage policy.
Level 2:
Emerging
We are developing or have drafted a staff AI usage policy.
Level 3:
Progressing
We have shared a staff AI usage policy that sets clear guardrails for personally identifiable information (PII) and ensures compliance with FERPA, COPPA, and state privacy laws.
Level 4:
Advanced
Level 3 PLUS: We have implemented mandatory training on the usage policy for all staff. We are exploring how to monitor compliance metrics, risk incidents, and policy effectiveness.
Stakeholder Engagement
Understanding how different stakeholder groups currently use and perceive AI is critical for making informed decisions about implementation strategies and policies. Staff, student, and power user perspectives reveal real-world usage patterns and opportunities that ensure AI initiatives are grounded in actual user needs rather than assumptions.
Leadership Metric
Level 1
Baseline
Baseline
Level 2
Emerging
Emerging
Level 3
Progressing
Progressing
Level 4
Advanced
Advanced
5. Learn from Staff
We have not yet made plans to collect data from staff on their usage of and perspectives on AI.
We are making plans to collect data from staff on their usage of and perspectives on AI.
We have collected data from staff on their usage of and perspectives on AI.
Level 3 PLUS: We have collected multiple rounds of data from staff on their usage of and perspectives on AI, and we are using this data to progress-monitor the efficacy of our AI-related work.
6. Learn from Students
We have not yet made plans to collect data from students on their usage of and perspectives on AI.
We are making plans to collect data from students on their usage of and perspectives on AI.
We have collected data from students on their usage of and perspectives on AI.
Level 3 PLUS: We have collected multiple rounds of data from students on their usage of and perspectives on AI, and we are using this data to progress-monitor the efficacy of our AI-related work.
7. Amplify Power-Users
We have not yet made plans to learn from and spotlight the work of our AI power users.
We are making plans to learn from and spotlight the work of our AI power users.
We have begun to learn from and spotlight the work of our AI power users.
Level 3 PLUS: We have put in place systems and practices to regularly learn from and spotlight the work of our AI power users.
5. Learn from Staff
Level 1:
Baseline
We have not yet made plans to collect data from staff on their usage of and perspectives on AI.
Level 2:
Emerging
We are making plans to collect data from staff on their usage of and perspectives on AI.
Level 3:
Progressing
We have collected data from staff on their usage of and perspectives on AI.
Level 4:
Advanced
Level 3 PLUS: We have collected multiple rounds of data from staff on their usage of and perspectives on AI, and we are using this data to progress-monitor the efficacy of our AI-related work.
6. Learn from Students
Level 1:
Baseline
We have not yet made plans to collect data from students on their usage of and perspectives on AI.
Level 2:
Emerging
We are making plans to collect data from students on their usage of and perspectives on AI.
Level 3:
Progressing
We have collected data from students on their usage of and perspectives on AI.
Level 4:
Advanced
Level 3 PLUS: We have collected multiple rounds of data from students on their usage of and perspectives on AI, and we are using this data to progress-monitor the efficacy of our AI-related work.
7. Amplify Power-Users
Level 1:
Baseline
We have not yet made plans to learn from and spotlight the work of our AI power users.
Level 2:
Emerging
We are making plans to learn from and spotlight the work of our AI power users.
Level 3:
Progressing
We have begun to learn from and spotlight the work of our AI power users.
Level 4:
Advanced
Level 3 PLUS: We have put in place systems and practices to regularly learn from and spotlight the work of our AI power users.
Innovative Culture
Organizational culture determines whether AI innovations will be embraced and implemented effectively or met with resistance. Creating a culture that balances innovation with appropriate safeguards and developing management practices for AI-human collaboration ensures sustainable adoption and rigorous quality standards.
Leadership Metric
Level 1
Baseline
Baseline
Level 2
Emerging
Emerging
Level 3
Progressing
Progressing
Level 4
Advanced
Advanced
8. Foster a Culture of Innovation
We have not yet developed strategy to position frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
We are developing strategy to position frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
We execute on intentional strategy that positions frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
Level 3 PLUS: We have developed systems that provide staff clarity about when they can innovate independently, when pilots will be considered, how the efficacy of pilots will be measured, and what must be true for pilots to scale more broadly.
9. Advance Management Practice
We have not yet planned for how to "manage for quality control" as staff increasingly use AI within key workstreams.
We are planning how to "manage for quality control" as staff increasingly use AI within key workstreams.
We have put in place intentional practices to "manage for quality control" as staff increasingly use AI within key workstreams.
Level 3 PLUS: Our managers make intentional decisions about the degree of "human-in-the-loop" necessary across phases of specific AI use-case exploration and implementation.
8. Foster a Culture of Innovation
Level 1:
Baseline
We have not yet developed strategy to position frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
Level 2:
Emerging
We are developing strategy to position frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
Level 3:
Progressing
We execute on intentional strategy that positions frontline teams to innovate while ensuring safeguards and alignment with organizational strategy.
Level 4:
Advanced
Level 3 PLUS: We have developed systems that provide staff clarity about when they can innovate independently, when pilots will be considered, how the efficacy of pilots will be measured, and what must be true for pilots to scale more broadly.
9. Advance Management Practice
Level 1:
Baseline
We have not yet planned for how to "manage for quality control" as staff increasingly use AI within key workstreams.
Level 2:
Emerging
We are planning how to "manage for quality control" as staff increasingly use AI within key workstreams.
Level 3:
Progressing
We have put in place intentional practices to "manage for quality control" as staff increasingly use AI within key workstreams.
Level 4:
Advanced
Level 3 PLUS: Our managers make intentional decisions about the degree of "human-in-the-loop" necessary across phases of specific AI use-case exploration and implementation.
Non-Instructional Systems & Practice
AI fundamentally changes how work gets done, requiring organizations to reimagine their operational systems, procurement practices, and talent strategies. From adopting enterprise platforms to redesigning workflows and hiring practices, organizations must ensure the apporpriate systems are in place to support effective AI integration across all organizational functions.
Leadership Metric
Level 1
Baseline
Baseline
Level 2
Emerging
Emerging
Level 3
Progressing
Progressing
Level 4
Advanced
Advanced
10. Adopt an Enterprise Platform
We have not yet begun evaluating options for a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
We are formally evaluating options for a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
We have built or adopted a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
Level 3 PLUS: We monitor key platform usage trends. This data is regularly reviewed and used to inform relevant systems-level decisions.
11. Leverage AI for Increased Non-Instructional Workflow Efficacy
We have not yet begun to process-map key workflows across some departments and identify some opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
We have begun to process-map key workflows across some departments and identify some opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
We have process-mapped key workflows across all departments and identified opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
Level 3 PLUS: We are already executing on some identified opportunities across all departments.
12. Evolve Procurement Practice
We have not yet begun to re-evaluate our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
We have begun to re-evaluate our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
We have re-evaluated our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
Level 3 PLUS: Prior to any major purchase/adoption, we ensure there is strong, frontline stakeholder engagement in firsthand evaluation of the outcomes and efficacy of the tool/tech.
13. Hire for AI Competency
We have not yet made plans to incorporate AI-related competencies into hiring criteria for key roles.
We are making plans to incorporate AI-related competencies into hiring criteria for key roles.
We have incorporated AI-related competencies into hiring criteria for a small number of key roles.
Level 3 PLUS: We have incorporated AI-related competencies into hiring criteria for a large number of organizational roles.
10. Adopt an Enterprise Platform
Level 1:
Baseline
We have not yet begun evaluating options for a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
Level 2:
Emerging
We are formally evaluating options for a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
Level 3:
Progressing
We have built or adopted a primary enterprise platform that ensures data privacy protection, provides employees equitable access to GenAI tools, and provides admin oversight and data insight.
Level 4:
Advanced
Level 3 PLUS: We monitor key platform usage trends. This data is regularly reviewed and used to inform relevant systems-level decisions.
11. Leverage AI for Increased Non-Instructional Workflow Efficacy
Level 1:
Baseline
We have not yet begun to process-map key workflows across some departments and identify some opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
Level 2:
Emerging
We have begun to process-map key workflows across some departments and identify some opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
Level 3:
Progressing
We have process-mapped key workflows across all departments and identified opportunities where AI can be systematically leveraged to increase workflow efficiency and efficacy.
Level 4:
Advanced
Level 3 PLUS: We are already executing on some identified opportunities across all departments.
12. Evolve Procurement Practice
Level 1:
Baseline
We have not yet begun to re-evaluate our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
Level 2:
Emerging
We have begun to re-evaluate our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
Level 3:
Progressing
We have re-evaluated our technology and software procurement practice for the age of AI, with updated considerations for data privacy and platform interoperability.
Level 4:
Advanced
Level 3 PLUS: Prior to any major purchase/adoption, we ensure there is strong, frontline stakeholder engagement in firsthand evaluation of the outcomes and efficacy of the tool/tech.
13. Hire for AI Competency
Level 1:
Baseline
We have not yet made plans to incorporate AI-related competencies into hiring criteria for key roles.
Level 2:
Emerging
We are making plans to incorporate AI-related competencies into hiring criteria for key roles.
Level 3:
Progressing
We have incorporated AI-related competencies into hiring criteria for a small number of key roles.
Level 4:
Advanced
Level 3 PLUS: We have incorporated AI-related competencies into hiring criteria for a large number of organizational roles.
Instructional Systems & Practice
Within the context of teaching and learning, AI presents unprecedented opportunities and challenges. It is incumbent on school systems to integrate AI literacy into curriculum while developing pedagogical approaches that leverage AI's benefits without compromising academic rigor, academic integrity, and essential learning outcomes.
Leadership Metric
Level 1
Baseline
Baseline
Level 2
Emerging
Emerging
Level 3
Progressing
Progressing
Level 4
Advanced
Advanced
14. Leverage AI for Increased Instructional Workflow Efficacy
We have not process-mapped key instructional workflows and identified opportunities where AI can be systematically leveraged to increase workflow efficacy.
We have process-mapped key instructional workflows and identified opportunities where AI can be systematically leveraged to increase workflow efficacy.
We have process-mapped key instructional workflows and are executing on basic opportunities where AI can be leveraged to increase workflow efficacy.
Level 3 PLUS: We are exploring or implementing some advanced workflows that involve customized tool designs, training on organizational data, agents, and/or clear systems for 'human-in-the-loop.'
15. Evolve Portrait of a Graduate
We have not yet made plans to re-evaluate our graduate profile and ensure it reflects student outcomes and competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
We are planning a process to re-evaluate our graduate profile and ensure it reflects student outcomes and competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
We have re-evaluated our graduate profile and ensured it reflects competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
Level 3 PLUS: AI relevant competencies in our 'portrait of a graduate' are all mapped to relevant assessment measures.
16. Norm Instructional Community on AI Usage Framework
We have not yet explored adoption of an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
We are exploring adoption of an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
We have adopted and trained instructional staff on an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
Level 3 PLUS: There is evidence of emerging implementation. Teachers are actively utilizing the language of the framework to communicate AI usage expectations to students.
17. Integrate AI Literacy Into Curricula
We have not yet made plans to incorporate AI literacy into student programming and curriculum.
We are making plans to incorporate AI literacy into student programming and curriculum.
We are actively conducting pilots incorporating AI literacy into student programming and curriculum, and we are making plans for broader systematic implementation.
Level 3 PLUS: Our curriculum development work is exploring the integration of AI literacy across content areas and within HQIMs (vs exclusively within CS or stand-alone curriculum).
18. Establish Student Usage Policy
We have not yet made plans to develop student AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
We are making plans to develop student AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
We have shared with students AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
Level 3 PLUS: We systematically collect data on policy implementation, student understanding, and academic integrity outcomes, using this information to continuously refine our approach and ensure the policy serves its intended purpose.
14. Leverage AI for Increased Instructional Workflow Efficacy
Level 1:
Baseline
We have not process-mapped key instructional workflows and identified opportunities where AI can be systematically leveraged to increase workflow efficacy.
Level 2:
Emerging
We have process-mapped key instructional workflows and identified opportunities where AI can be systematically leveraged to increase workflow efficacy.
Level 3:
Progressing
We have process-mapped key instructional workflows and are executing on basic opportunities where AI can be leveraged to increase workflow efficacy.
Level 4:
Advanced
Level 3 PLUS: We are exploring or implementing some advanced workflows that involve customized tool designs, training on organizational data, agents, and/or clear systems for 'human-in-the-loop.'
15. Evolve Portrait of a Graduate
Level 1:
Baseline
We have not yet made plans to re-evaluate our graduate profile and ensure it reflects student outcomes and competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
Level 2:
Emerging
We are planning a process to re-evaluate our graduate profile and ensure it reflects student outcomes and competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
Level 3:
Progressing
We have re-evaluated our graduate profile and ensured it reflects competencies that will position our graduates to flourish -- personally and professionally -- in a world of accelerating AI integration.
Level 4:
Advanced
Level 3 PLUS: AI relevant competencies in our 'portrait of a graduate' are all mapped to relevant assessment measures.
16. Norm Instructional Community on AI Usage Framework
Level 1:
Baseline
We have not yet explored adoption of an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
Level 2:
Emerging
We are exploring adoption of an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
Level 3:
Progressing
We have adopted and trained instructional staff on an AI usage framework (such as the AI Assessment Scale) that positions our instructional community with common language for the type of AI usage expected or permitted on given instructional tasks and assessments.
Level 4:
Advanced
Level 3 PLUS: There is evidence of emerging implementation. Teachers are actively utilizing the language of the framework to communicate AI usage expectations to students.
17. Integrate AI Literacy Into Curricula
Level 1:
Baseline
We have not yet made plans to incorporate AI literacy into student programming and curriculum.
Level 2:
Emerging
We are making plans to incorporate AI literacy into student programming and curriculum.
Level 3:
Progressing
We are actively conducting pilots incorporating AI literacy into student programming and curriculum, and we are making plans for broader systematic implementation.
Level 4:
Advanced
Level 3 PLUS: Our curriculum development work is exploring the integration of AI literacy across content areas and within HQIMs (vs exclusively within CS or stand-alone curriculum).
18. Establish Student Usage Policy
Level 1:
Baseline
We have not yet made plans to develop student AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
Level 2:
Emerging
We are making plans to develop student AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
Level 3:
Progressing
We have shared with students AI usage expectations or policy that signals support for student usage while setting academic integrity conditions that can be reliably enforced.
Level 4:
Advanced
Level 3 PLUS: We systematically collect data on policy implementation, student understanding, and academic integrity outcomes, using this information to continuously refine our approach and ensure the policy serves its intended purpose.
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