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For Teachers
For Policymakers
For Consultants
Empowering educators to teach with AI and about AI
AI in Education
A Presentation Template from
Last updated on September 22, 2025
Table of�Contents
Background
What is Artificial Intelligence?
…refers to programs or machines that simulate tasks that typically require human intelligence, such as:
The varied definitions and applications of AI and its recent pace of development make it a challenge to regulate.
Understanding artificial intelligence helps decision makers craft and evaluate policies to promote its responsible use, access, and design.
Artificial Intelligence…
1950s
Artificial Intelligence emerges as a field of computer science, integrating concepts from mathematics, engineering, and psychology.
1980s
Machine Learning (ML) is a range of techniques whereby computers are trained to improve their performance by processing vast amounts of data.
Deep Learning (DL)
is an ML technique that utilizes neural networks and algorithms inspired by how human brains learn and process information.
2020s
Large Language Models (LLMs), a product of DL techniques, are models specialized for tasks like natural language processing, text generation, and translation.
Today
Generative AI (Gen AI) is a powerful category of AI that includes LLMs and other models that generate text, images, videos, or music.
The internal workings of Gen AI models can lack transparency and explainability, making it challenging to build trust and ensure accountability.
Additional issues specific to Gen AI in education include bias, misinformation, and overreliance on AI tools.
AI Literacy
AI Literacy encompasses:
Misconception | Explanation |
AI can think in the same ways people do. | Gen AI simulates understanding by repeating patterns in data rather than comprehending content with intent or awareness. This approach can lead to seemingly credible errors, often called “hallucinations,” highlighting the need for humans in decision making roles. |
All AI is alike. | There is a wide range of AI technologies with various capabilities. Each has its strengths and limitations and is suited to different tasks. |
AI decisions are unbiased. | AI systems can perpetuate or amplify biases in their training data. Bias in AI systems can also come from the design, development, or testing process. |
Common Misconceptions about AI
TeachAI: Teaching With and About AI
Teaching With AI
Teaching About AI
Using AI as a tool for teacher support, student learning, or school management and operations.
Understanding how AI works, including studying foundational concepts from computer science, data science, social studies, science, and mathematics.
Potential Benefits & Risks of Using AI in Education
Potential Risks
Potential Benefits
Content
development and differentiation
Assessment design and timely, effective feedback
Tutoring and personalized
learning assistance
Aiding creativity and collaboration
Operational and administrative efficiency
Misinformation, errors, and academic dishonesty
Overreliance and loss of critical thinking
Compromised student privacy and unauthorized data collection
Diminished student and teacher agency and accountability
Societal bias and lack of cultural sensitivity
Use case | | Ethical Concern |
Teacher Support: AI Teaching Assistance | | Replicating Ineffective Practices |
Student Learning: Personalized Pathways | | Reducing Teacher and Student Agency |
School Operations: Surveillance | | Privacy Risks and Bias |
Sample Use Cases and Ethical Concerns
A Potential AI Divide
The introduction of AI in education may exacerbate an existing digital divide. Reducing this divide involves addressing barriers to access, supporting effective pedagogical design, and providing powerful learning opportunities.
Access
Devices and Connectivity
Design
Pedagogical Approach
Use
Active Experiences
Latest�Observations
Data on AI in Education
Youth Perspectives
72%
Youth who use AI would like
some help from adults in learning
how to use different tools.
(4-H / Hart Research, Feb 2024)
Youth agree that learning how
to use generative AI could give students
an advantage in their future jobs.
62%
Teacher Perspectives
74%
93%
Teachers agree that school lesson plans should include materials that help students learn about the implications of AI.
Teachers believe that integrating AI literacy into their coursework will enhance student engagement.
Parent Perspectives
54%
62%
Parents report their child’s school has
not provided information about
school policies on AI tools.
Parents believe teachers using AI tools to customize curriculum for students’ needs would positively affect their child.
86%
Students Use AI But Aren’t AI Literate
58%
Higher education students do not feel they have sufficient AI literacy.
Students and Teachers Want Guidance
72%
Teachers say that their district does not have clear policies on AI in education.
79%
of teachers were using gen AI detection tools (CDT, Dec 2023)
of teachers are more distrustful (CDT, Dec 2023)
of teens have used AI without permission (Common Sense, Sep 2024)
AI Distrust
46%
68%
52%
Teachers in schools that provide guidance on AI use report:
AI Knowledge and Trust
However, only 40% teens report having ever used gen AI to help with school assignments.
41% teens used it with their teacher's permission.
12% teens used it, but unsure if with teacher’s permission.
46% teens used it without the teacher's permission.
70% of teens age 13 to 18 say they have used at least one type of generative AI tool.
How are Teens Using Generative AI?
68%
Teachers have never used AI tools in their classroom
Most Teachers Don’t Use AI in the Classroom
Teachers most often use AI tools and products to adapt instruction and generate materials.
of teachers use it to generate quizzes and assessments.
of teachers use it to adjust to the appropriate grade level.
of teachers use it to support students with learning differences.
51%
49%
48%
of teachers use it to generate lesson plans.
41%
How are Teachers Using AI?
59%
80%
Nearly two-thirds (59%) of teacher prep programs provide some AI-related instruction to preservice teachers.
About 80% of teacher prep programs say they plan to expand their AI offerings in the future
Are Pre-Service Teachers Prepared?
58%
Teachers have not received
professional development on using Generative AI in the classroom.
But more teachers are receiving professional development on AI.
13%
29%
43%
June 2023
March 2024
Oct 2024
Are Teachers Prepared?
Removing design and communication barriers between a student’s great idea and its realization
Improving creative confidence in students to explore and express their ideas
Increasing the speed of creation
94%
93%
92%
Educators find generative AI especially beneficial for creative projects and multimedia assignments in the following ways:
Creativity with Generative AI
66%
Leaders say they would not hire someone without AI skills. �(Microsoft, May 2024)
Employees say generative AI will create opportunities for them to learn new skills.�(PWC, June 2024)
76%
Despite GenAI being well-suited for programming tasks, the Bureau of Labor Statistics projects the employment of software developers to increase 17.9 percent between 2023 and 2033, much faster than the 4.0 percent average for all occupations. (BLS, Feb 2025)
Workforce Impacts
Top 5 Fastest Growing
Skills by 2030
Upskilling in an Age of AI
Of the 15 fastest-growing professional skills in the US, AI Literacy is number 1. (LinkedIn News, March 2025)
The AI shift requires rapid upskilling, with AI and big data skills leading the way. (World Economic Forum, Jan 2025)
| What does the law say? | What are some policy implications? | What can state and local authorities do? |
Family Educational Rights and Privacy Act (FERPA) | FERPA grants parents and students rights regarding access to and sharing of their educational records and personally identifiable information (PII). | AI tools may require the input of education records and PII to be effective. AI service providers could use this data for training purposes. | Issue guidance to help school systems properly evaluate, procure, and monitor AI tools to ensure FERPA compliance. |
Children’s Online Privacy Protection Act (COPPA) | COPPA imposes restrictions on websites and online service providers that collect, use, or disclose personal information from children under 13, such as requiring parental or school consent. | With new consumer and education-focused AI tools built upon large language models, children’s data may be unintentionally exposed to underlying AI model providers, who may not be directly subject to COPPA restrictions. | Reaffirm that AI tools and service providers must properly manage children’s data to ensure COPPA compliance. |
Federal Policies
As of June 2025, �30 US states �have AI guidance for education.
See teachai.org/policy-tracker for the latest information.
Which States Provide Guidance?
Australia: Framework for Generative Artificial Intelligence (AI) in Schools (link)
Japan: Interim guidelines for the use of generative AI at the primary and secondary education level (link)
New Zealand: Generative AI Guidance (link)
South Korea: Education policy direction and key tasks in the artificial intelligence era (link)
United Kingdom: Generative artificial intelligence (AI) in education (link)
Artificial Intelligence and the Future of Teaching and Learning (link)
Some of the Countries with Guidance
For more information about guidance and legislation check out our AI policy tracker!
AI Policy Tracker
Perspectives
Students have a tendency to 'trust' the AI and blindly copy and paste the code but lack the skills to 'talk to' the code with AI and truly understand what is going on. This causes them frustration when later attempts don't work, and they lack the vocabulary or experience needed to properly explain what problems or tasks need to be done to their AI assistant.
- Graham Nolan, computer science teacher, Hong Kong International School
Trust in AI
Schools will need to engage in deep discussions of what students should know and be able to do in the new era of AI. I think AI will push making education more relevant to the individual student, and the knowledge and skill s/he will need to transact with his/her life circumstances.
— District superintendent, California
AI Will Change Education
When it comes to AI education, we do not have the luxury of burying our heads in the sand. Computer science teachers have the opportunity and responsibility to lead students in understanding the societal and ethical implications of AI: the good and the bad, the benefits and harms, the possibilities and realities.
- Charity Freeman, CSTA Board Chair
AI in CS Education
We believe AI-assisted coding will fundamentally change the nature of software development, giving developers a new tool to write better code easier and faster
— Satya Nadella, CEO of Microsoft
AI in Software Development
We can’t control it and we can’t ban it but we can help students learn to use it, in a supervised way, in a thoughtful way and a meaningful way.
— Sarah Eaton, Associate Professor University of Calgary, expert in AI education
We Need AI Guidance
I think the driver for me is really looking at the jobs of the future and looking at it through the economic lens. I see [AI] as a window of opportunity for communities like mine, to catch up to the rest of society by giving [students] skills and access to a technology that has never been at their fingertips before.
— Jerry Almendarez, District superintendent
Bridging Opportunity Gaps with AI
AI will make it where people are totally dependent upon it. Students need to learn how to think, solve problems, and make decisions based upon facts, not what AI says. We are dumbing down our country when we take away the skills needed to make wise decisions.
— District administrator for curriculum/instruction, Arkansas
AI Will Be Harmful
AI can support any part of the creative process. If a student is stuck in brainstorming, AI can help generate multiple ideas. If another student is good at brainstorming but needs help refining their work, AI can act as a thought partner, providing critique. This is what's exciting about AI designed for creativity! It makes the steps of the creative process explicit and helps students overcome obstacles. It removes that fear of the blank canvas.
— Brian Johnsrud, Director of Education Learning and Advocacy at Adobe
AI Can Promote Creativity
AI can really help teachers (for example, a Spanish teacher can ask it to write a short story using certain vocabulary words and certain grammatical features). However, it can be harmful when students use it to get answers for questions on their assignments or to do writing assignments for them, because it's impossible to prove, unlike traditional plagiarism.
— High school teacher, California
AI Has Benefits and Drawbacks
We know that AI is putting out incredibly biased content. Humans come in with biases and preconceived notions about students in their classroom. AI is just another place in which unfairness is being laid upon students of color.
— Amanda Lenhart, Head of Research at Common Sense Media
AI Can Perpetuate Bias
TeachAI Resources
TeachAI is an initiative that guides education leaders and policymakers in transforming education by teaching with AI and teaching about AI.
In coordination with the World Economic Forum
About TeachAI
AAAI
AASA, The School Superintendents Association
ACT
ACTFL
Accenture
Adobe
AESA, Association of Educational Service Agencies
AI4ALL
AI4K12
AI Singapore
AIforEducation
aiEDU
Allen Institute for AI
All4Ed
Amazon
American Federation of Teachers
American Indian Science and Engineering Society
Arab Bureau of Education for Gulf States
ASCD
Associação Nacional de Professores de Informática
Atlassian
Black in AI
Canada Learning Code
CAST
Center for Black Educator Development
Center for Security and Emerging Technology
Center on Reinventing Public Education (CRPE)
Advisory Committee
Central Square Foundation
Chiefs for Change
Cisco
Cognizant
College Board
Common Sense Media
Computing Research Association
COSSBA
CoSN – Consortium for School Networking
Council of Chief State School Officers
Council of the Great City Schools
Cyber Innovation Center
Data Science 4 Everyone
Dell Technologies
Digital Moment
Digital Promise
Ed3 DAO
Education Above All
Education Commission of the States
Education Leaders of Color
EdTech East Africa
Encode Justice
Eidos Global
European EdTech Alliance
Everyday AI
ExcelinEd
EY
Fab, Inc.
Fundación Kodea
German Informatics Society
Getting Smart
GitHub Education
Grok Academy
HMH
IndigiGenius
Indigitize
Infosys Foundation USA
InnovateEDU
Institute for Advancing Computing Education
Inter-American Development Bank
JA Worldwide
Junyi Academy
Latinos for Education
Lenovo
LEGO Education
McGraw Hill
Meta
Micro:bit Educational Foundation
Micron Technology
Microsoft
National Association of State Boards of Education
National Center on Education and the Economy
National Council of Teachers of Mathematics
National Council of Teachers of English
NCWIT
National Education Association
National School Boards Association
National Science Teaching Association
National Parents Union
OpenAI
Organization of American States
Pearson
Policy Analysis for California Education
Pratham International
Qualcomm
RobinCode
SETDA
Shule Direct
SIIA
Sociedad Científica Informática de España
Sociedade Brasileira de Computação
Southern Regional Education Board
STEAMLabs Africa
Teach for All
Teach For America
Texas Advanced Computing Center
UNICEF
Wharton Interactive
WIDA
WISE
World Bank
Alabama
Alaska
Arkansas
Arizona
California
Colorado
Connecticut
D.C.
Delaware
DoDEA
Hawaii
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Michigan
Minnesota
Mississippi
Missouri
Montana
North Carolina
Nebraska
Nevada
New Jersey
New Mexico
North Dakota
Ohio
Oklahoma
Argentina
Bangladesh
Belize
Cambodia
Chile
Colombia
Egypt
Jamaica
Israel
Kosovo
Kyrgyz Republic
Malaysia
Maldives
Malta
Mexico City
Morocco
New Brunswick
Nicaragua
Philippines
Kingdom of Saudi Arabia
South Australia
South Korea
Thailand
The Gambia
Türkiye
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Global
Oregon
Pennsylvania
Rhode Island
South Carolina
Tennessee
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
US
Government Agencies
AI Guidance for Schools Toolkit
Foundational Policy Ideas for AI in Education
Guidance on the Future of CS Ed in an Age of AI
Education x Industry
Learning Series
TeachAI Roadmap
AI Literacy
Visit: teachai.org/toolkit
Lead Partners
AI Guidance for Schools Toolkit
Create policy to address the immediate risks so that AI does not undermine learning during the coming year.
Stage 2
Facilitate organizational learning by making a small but strategic investment in harnessing the individual learning of the many educators already excited about AI.
Stage 1
Identify areas for improvements and effective transformations with potential to scale to support the education system.
Stage 3
A Framework for Incorporating AI in an Education System
What guidance and policies are needed now to address immediate risks so that AI does not undermine learning in the coming year?
Stage 1 Guidance and Policy
How can we make a small but strategic investment in harnessing the experiences of educators that are already excited about AI to facilitate organizational learning?
Stage 2 Organizational Learning
How can we identify areas for improvements and effective transformations with potential to scale?
Transformations may include:
Stage 3 Improvement and Transformation
Purpose
Use AI to help all students achieve educational goals.
Compliance
Reaffirm adherence
to existing policies.
Knowledge
Promote AI Literacy.
Balance
Realize the benefits of AI and address the risks.
Integrity
Advance academic integrity.
Agency
Maintain human decision-making when using AI.
Evaluation
Regularly assess the impacts of AI.
Seven Principles for AI in Education
Use AI to help all students achieve educational goals.
Discussion Questions:
Seven Principles for AI in Education - TeachAI
✅ How does our guidance highlight the purposeful use of AI to achieve our shared education vision and goals?
✅ How do we reduce the digital divide between students with easy access to AI tools at home and those dependent on school resources?
✅ How does our guidance ensure inclusivity, catering to diverse learning needs and linguistic and cultural backgrounds?
Purpose
1
Seven Principles for AI in Education - TeachAI
Discussion Questions:
✅ What is the plan to conduct an inventory of systems and software to understand the current state of AI use and ensure adherence to existing regulations, security, and privacy?
✅ Does the education system enforce contracts with software providers, stipulating that any use of AI within their software or third-party providers must be clearly revealed to district staff and first approved by district leadership?
Reaffirm adherence to existing policies.
Compliance
2
Seven Principles for AI in Education - TeachAI
Discussion Questions:
✅ How does the education system support staff and students in understanding how to use AI and how AI works?
✅ What is the strategy for incorporating AI concepts into core academic classes, such as computer science?
✅ How is systemwide participation in AI education and professional development being encouraged and measured?
Promote AI literacy.
Knowledge
3
Seven Principles for AI in Education - TeachAI
Realize the benefits of AI and address the risks.
Discussion Questions:
✅ Do our policies describe and support opportunities associated with using AI?
✅ Do our policies describe and proactively mitigate the risks associated with using AI?
Balance
4
Seven Principles for AI in Education - TeachAI
Discussion Questions:
✅ Do our policies sufficiently cover academic integrity, plagiarism, and proper attribution issues when using AI technologies?
✅ Do we offer professional development for educators to use commonly available AI technologies to support the adaptation of assignments and assessments?
✅ Do students have clear guidance for citing AI usage, using it properly to bolster learning, and understanding the importance of their voice and perspective in creating original work?
Advance Academic Integrity.
Integrity
5
Seven Principles for AI in Education - TeachAI
Discussion Questions:
✅ Do our policies clarify that staff are ultimately responsible for any AI-aided decision and that AI is not solely responsible for any major decision-making or academic practices?
✅ How do our policies ensure that students retain appropriate agency in their decisions and learning paths when using AI tools?
Maintain human decision-making when using AI.
Agency
6
Seven Principles for AI in Education - TeachAI
Regularly assess the impacts of AI.
Discussion Questions:
✅ Does our education system’s guidance on AI recognize the need for continuous change?
✅ Has the education system reassessed existing products, as their providers may have added AI features since their initial evaluation?
✅ Is there a plan for community input on AI policy and implementation, including feedback from students, parents, teachers, and other stakeholders?
Evaluation
7
Visit: teachai.org/policy
Foundational Policy Ideas for AI in Education
Lead Partners
Foster Leadership Establish an AI task force.
Promote AI Literacy Integrate AI skills and concepts.
Provide Guidance
Equip schools with guidance on the responsible use of AI.
Build Capacity
Provide funding for professional development.
Support Innovation
Promote research and development.
Foundational Policy Ideas for AI in Education
Visit: teachai.org/cs
Guidance on the Future of
Computer Science Education in an Age of AI
How Are Computer Science Educators Teaching With and About AI?
The Role of AI in Computer Science Education: Results from a Teacher Survey
52% say the benefits outweigh the risks
43% say the benefits and risks are equal
5% say the risks outweigh the benefits
Most are optimistic or neutral about AI in CS education.
say that AI should be included in a foundational CS experience.
CS teachers want to teach with and about AI.
85%
8 of 10 agree that CS standards should include AI.
Most CS teachers discuss AI ethics with students weekly or monthly.
Bias, misinformation, overreliance, and AI ethics are common concerns.
Rarely or Never
Monthly
Weekly (1-3 times)
Every day
0%
10%
20%
30%
40%
Teachers have mixed opinions about whether students in introductory CS classes should learn to program with AI.
Programming is essential, but teachers disagree on when to introduce AI tools.
55% agree
21% disagree
24% unsure
Visit: �teachai.org/ailiteracy
Advancing AI Literacy in Schools
Key questions:
Framework
Exemplars
Engagement
Assessment
Interdisciplinary concepts and skills.
High-quality examples of curriculum, assessment, and professional learning.
Resources released throughout the process, plus events.
A global AI literacy exam to measure concepts and skills.
AI Literacy Projects Components
Thank you!
info@teachai.org
WEBSITE
TeachAI.org
In coordination with the World Economic Forum
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