How to Write Guidelines for Using Generative AI in Your School
Create ethical AI guidelines for your school with this course. Tailored for P12 professionals, you'll learn how to make AI an asset.
This course is no longer available.
Explore other courses
Course overview
A course for educators to learn how to incorporate AI into schools effectively.
Learn to incorporate AI to amplify learning while mitigating risks. We'll explore the promise and pitfalls of implementing AI effectively. You’ll draft real guidelines tailored to your setting and strategize successful adoption.
The last thing you need is:
Outdated theory or dripped content.
What you need is:
Proven concepts, precision learning, and answers for your specific situation.
This course delivers strategies that work now. Gain mastery in record time from experts walking the walk.
Ask tailored questions and get insider insights from John and a professional cohort solving real-world problems today.
This course is for you if
01
You work in schools and have begun exploring AI learning tools, and you want to ensure they're being used ethically and effectively.
02
You want AI guidelines in schools that aren't dependent on constant opinion shifts and faddism.
03
You're an educator aspiring to lead proactive, informed discussions about the place of AI in schools.
04
You're a school leader looking to foster a culture of AI literacy and want to understand how AI can be integrated safely and effectively.
What you’ll get out of this course
Actionable Draft of AI Guidelines
You'll leave the course with your own set of AI guidelines tailored to your school's needs. With insights from John and the cohort, you'll have a ready-to-test blueprint by the end of the second session.
An Evaluation Framework to Determine if Your AI policy is Working for You
You're equipped with an evaluation framework for AI guidelines in schools. Delve into real-world case studies of guidelines that fell short, learn directly from John's own journey in developing, implementing, and refining AI policies.
Real-world Testing and Feedback Loop
You'll get to test generative AI guidelines in a real school setting, get feedback, and then reconvene to discuss and learn from the challenges and successes experienced by cohort members in implementing their guidelines.
Collaborative Review and Refinement
You get a sounding board to share your on-the-ground experiences, challenges faced, and successes found from testing out your guidelines. In class, collectively refine, adapt, and optimize your AI guidelines based on your real-world insights.
Strategies for Continuous Improvement
You will learn how to maintain an ongoing feedback mechanism, ensuring your AI guidelines remain relevant and effective. Leverage John's expertise and cohort experiences to anticipate future challenges and iterate faster within your school.
The Cohort's Collective Wisdom Repository
You'll have access to the cohort member's experiences and have access to a shared repository of best practices, challenges, and solutions, tapping into the cohort's collective wisdom. You'll have more brains helping you navigate your journey!
Meet your instructor
John Nash
John Nash
Leadership professor & advisor on AI to schools, universities, and the public sector
Dr. John Nash has turned thousands of teachers and school leaders into confident educational innovators. Combining 30 years of research on design thinking, educational technology, and school improvement, John is passionate about helping professional educators create educational experiences for learners by equipping them with the vital skill of creative leadership.
In 2023, John became a trusted advisor to educators on generative AI thanks to reporting on his own use of AI in graduate-level courses and his service as a guide on responsible and ethical use of generative in educational institutions. He's an advisor to P-12 schools, universities, philanthropists, and federal government agencies.
John combines practical experience with academic insight into the intersection of education and technology. With expertise grounded in work as a faculty member at the University of Kentucky and Iowa State University, John pioneered courses focusing on applying design thinking in education, promoting a holistic, problem-solving mindset in future educators. Since 2010 he has taught design thinking to teachers, principals, MBA students, physicians, designers, and journalists.
Course syllabus
3 live sessions • 13 lessons • 4 projects
Week 1
- 📄
Slides: What Feels Important Right Now?
- 📄
In Class: Paired Discussion -- What's Surprising Now?
- 📄
In Class: Scenario Challenge -- A Strategy and AI Roadmap
- ✍️
What's Your Starting Point?
Submit by Sep 21 - ✍️
Case Analysis
Submit by Sep 21 - 📺
Watch: Framing Your AI Guidelines: 3 Lenses for Your Journey [5:36]
Complete by Sep 21 - 📄
Opting for the Principled Route – Laying the Foundations for Feedback
- 📄
Examples of Guidelines
- 📄
In Class Activity: Guidelines Breakout Session
- ✍️
Moving from Thought to Visual Blueprint: Crafting Your Prototype Guidelines
Submit by Sep 22 - ✍️
Outside Class: Gather Feedback and Share Your Findings
Submit by Sep 26 - 🤔
Outside Class: Take Stock of Your Existing Policies and Guidelines
Complete by Sep 26
Sep
19
Session 1
Sep
21
Session 2
#1 Find Your Footing
Your first milestones are to reflect on personal experiences and concerns related to AI use, engage in a collaborative discussion on what you could do, and then synthesize insights from case studies.
#2 Draft Your Guidelines
Setting guidelines is more about getting through this year than having perfect policy.
Week 2
- 🕑
Class Meeting Overview
- ✅
In-Cohort Sharing
- ✍️
Introducing the Generative AI Guidelines Canvas
- 🤖
Generative AI Prompt: Canvas to Narrative
Sep
26
Session 3
#3 Share Your Learnings
We cover how to synthesize learnings and reflections on the guideline development process based on stakeholder feedback.
Bonus
- 📄
Readings from Lessons and Related Readings
Resources and Links
Course schedule
About 3 hours per week
Session 1, Tuesday, Sep. 19: AI in Action - The Practical Landscape
6:00 PM - 7:00 PM Eastern Daylight Time
Deepen your AI exploration with the cohort. Dive into AI scenarios & case studies to grasp their school impacts. Engage in group discussions on AI's educational intricacies. The session concludes with everything you need for the next hands-on meeting
Session 2, Thursday, Sep. 21: Your AI Vision - Drafting and Deploying
6:00 PM - 7:00 PM Eastern Daylight Time
Live coaching from your instructor as they provide a step-by-step guide on how to draft and tailor AI guidelines. Then, it's your turn: draft AI guidelines suited to your school. Engage in a peer review process, swapping drafts to gain fresh perspectives and constructive feedb
Session 3, Tuesday, Sep. 26: Learning from the Field - Refinement Workshop
6:00 PM - 7:00 PM Eastern Daylight Time
Dive into breakout sessions, discussing firsthand experiences, challenges, and triumphs from testing your guidelines. With live expertise, refine and optimize your AI guidelines, ensuring they are primed for real-world challenges. Lastly, plan the next steps for implementation.
Effort required outside of class
Approximately 1-2 hours per week
Commitments outside of specific time slots include meetings with stakeholders in your setting and drafting an AI guidelines document. You receive all the instructions and templates needed to be successful.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you