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Empowering educators to teach with AI and about AI

AI in Education

A Presentation Template from

Last updated on January 9, 2024

“Thank you for coming today. I’ll be sharing about Artificial Intelligence, or AI, in our schools today.”

Goals for this presentation:

Understanding of AI in society (pervasive, you are already using it)
Can define AI literacy and its importance for the K-12 audience
Can describe examples of Generative AI
Will take action to create policies that advocate for responsible AI use in education
Can describe basic tools to teach With and About AI, including how to share resources with the correct audience.
Develop ongoing connections to their local community for support and/or know how to connect with TeachAI for additional resources

Suggested Citation: Code.org, CoSN, Digital Promise, European EdTech Alliance, Larimore, J., and PACE (2023). AI Guidance for Schools Toolkit. Retrieved from teachai.org/toolkit. [date].

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About TeachAI

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

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TeachAI Goals

Policy

Capacity

Community

Awareness

Adoption of national and local policies to support teaching with and about AI

Increased capacity of educators to teach with and about AI

Leaders amplifying and implementing effective and responsible approaches to AI

Shared vision and language for AI in education for policy, education, and industry leaders

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Table of Contents

What is Artificial Intelligence?
What If We Do Nothing?
AI Benefits and Risks
Steps for Implementing AI
Seven Principles for AI in Education
Teaching With and About AI
Data on AI in Education
Perspectives
Ongoing Support

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What is Artificial Intelligence?

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AI is:

Online and in-store shopping
Robotic tractors, precision agriculture
Warehouse Fulfillment
Credit Card Fraud Protection
Insurance Rates
NASA images from space
Text to Speech
Foreign Language Translation
Mapping and Navigation

It is in all of our lives and industries.

AI is NOT:

Alive
Smarter than us
Killer robots
Only for geniuses
Only for people in tech cities
Always physical. It is inside our computer software and phone apps.

And it is not going away.

“You’re already using AI! Here are some examples. Have you noticed that your phone’s camera is much better than the old point and shoots? That’s because AI helps you autofocus and adjust to low light or motion. Have you received a fraud alert from your credit card? That is an AI algorithm that noticed a different pattern to your spending and sent you a warning. Have you spoken to your phone and had it write a text? Text to speech is AI - it can understand people from different languages and translate as well. If you’ve ever made a map on your phone and had it warn you of traffic or give you a different route if you’re walking instead of driving, that’s AI doing the route planning and real time data updates to make sure you arrive quickly. It’s in our industries, and it’s part of our communities, like when your insurance rates are calculated or Amazon gets your package delivered within hours. It’s NOT sci-fi movies or only for people living in tech-heavy cities. It will definitely be a part of our students’ future work life. That is why we need to teach with and about AI. Just like computers or the internet, it is not going away.”

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Education with AI is:

Education with AI is NOT:

Personalized learning: More practice problems for struggling students, more advanced concepts for students who are ahead
Differentiation in seconds
Increased student persistence
Handwriting conversion to digital
Text to speech, speech to text
Language Translation

Replacing teachers
Going to solve every problem
One more thing that needs to take a lot of time from busy educators
Another subject that must be separate from other subjects

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How to Use + How it Works

AI Literacy + Computer Science

AI Literacy

The knowledge, skills, and attitudes associated with how artificial intelligence works, including its principles, concepts, and applications, as well as how to use artificial intelligence, such as its limitations, implications, and ethical considerations.

With AI Literacy, I CAN:

Personalize my learning
Assess safety and privacy with apps and data sharing
Properly cite AI usage when writing or creating
Prepare for the future of work
Act as an informed citizen

With AI/CS integration, I CAN:

Collect data responsibly
Break down complex problems
Analyze data critically
Identify patterns and trends
Evaluate the effectiveness of solutions
Ethically evaluate AI systems to minimize bias

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Generative AI: Tools that create text, images, code, and sound based on vast datasets.

Generative AI tools such as Bard, Bing, and ChatGPT, are trained on massive amounts of data to recognize patterns and relationships between words, images, sounds and code. They use that understanding to generate brand-new, original, often creative outputs customized to the prompts users provide.

“Generative AI professional example for a slide deck presentation” prompt. Bing Chat, Microsoft, 3 Oct. 2023

Generative AI

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What If We Do Nothing?

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Computers in Schools, High Speed Internet,

1:1 devices…

Who is empowered to learn with and about AI

Will AI Widen the Digital Divide?

Old Digital Divide

New Digital Divide

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Understanding

All students learn about scientific concepts that shape our world.

Most people apply this knowledge to understand the weather forecast and other common phenomena in their work and home lives.

Only a few people become scientists.

All students need to use technologies safely and make positive choices

for themselves.

Most students will need to know how to apply AI technologies in life and career.

Only a few people become AI developers.

Application

Career

Science and AI: Literacy to Career

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AI Benefits and Risks

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He who knows only his own side of the case knows little of that.

—John Stuart Mill

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Potential Risks

Potential Benefits

Potential Benefits & Risks of Using AI in Education

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

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Benefits Risks

Personalized learning School is more than content

Access to high-quality education Still dependent on infrastructure

Efficiency and productivity Dependence on AI tools

Predictive analytics Bias and standardized processes

Engaging learning experiences More screen time

Lifelong learning and upskilling Not traditionally recognized

Benefits and Related Risks of AI in Education

Personalized learning: AI can help customize the learning experience for individual students, identifying and adapting to their learning styles, strengths, and weaknesses. It can recommend personalized coursework, adjust the pace of learning, and provide extra support in areas where a student is struggling.

Efficiency and productivity: AI can automate many administrative tasks, such as grading and scheduling, freeing up time for educators to focus on instruction and interaction with students.

Predictive analytics: AI can help identify patterns and make predictions about student performance and outcomes. This can enable early interventions for students who are at risk, and it can help educators and administrators improve curriculum and teaching strategies.

Interactive and engaging learning experiences: AI can facilitate immersive and interactive learning experiences. For instance, AI-powered virtual reality can provide virtual field trips, and AI-based games can make learning more engaging and fun.

Improving accessibility: AI can help make education more accessible for students with disabilities. For instance, speech recognition can help students with mobility issues, and language processing can aid those with reading difficulties.

Remote learning: AI can enhance remote learning experiences, which is particularly valuable in situations where in-person education is not possible, such as during a pandemic, or in rural or underserved areas.

Lifelong learning and upskilling: AI-powered platforms can provide personalized learning for adults seeking to upskill or reskill in response to changing job markets. They can provide flexible, on-demand learning that can be balanced with work and family responsibilities.

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Risks Benefits

Loss of jobs Reduce teacher shortage

Loss of creativity Less burdens = more creativity

Lack of personalized interaction Time for human relationships

Access and inequality 24/7 access to personal tutor

Learning without understanding Learning at the highest levels

Privacy and confidentiality Current laws cover most issues

Risks and Related Benefits of AI in Education

Dependence on AI: If AI is used extensively in teaching, teachers may become overly reliant on it. This could lead to a reduction in their ability to teach effectively without it, which can be problematic in situations where AI systems might be unavailable or malfunction.

Loss of jobs: AI could potentially automate some of the tasks currently performed by teachers, such as grading papers and administering tests, which could lead to job loss or job devaluation.

Privacy and confidentiality: Teachers' personal information or sensitive classroom information could be compromised if AI systems are not properly secured.

Loss of creativity: AI systems might standardize teaching processes to such an extent that teachers' creativity and flexibility could be stifled.

Data privacy: AI systems require data to function effectively, and this could potentially involve collecting sensitive information about students. If such data were to be mishandled or misused, it could result in privacy violations.

Bias in AI systems: AI systems are only as good as the data they are trained on. If these systems are trained on biased data, they could perpetuate and even amplify these biases, leading to unfair treatment or outcomes for certain student groups.

Lack of personalized interaction: While AI can tailor educational content to an individual's learning style, it cannot replace the personalized interaction offered by a human teacher. This could lead to a reduction in the quality of education, particularly in areas that require nuanced understanding and interpretation.

Access and inequality: There's a risk that AI could exacerbate existing inequalities in the education system. Not all students have equal access to technology, which could put some students at a disadvantage.

Learning without understanding: AI-powered teaching tools may promote rote learning rather than deep understanding. For instance, students might use AI-powered tools to complete assignments without fully comprehending the underlying concepts.

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Steps for Implementing AI

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AI Roles and Responsibilities in Education

Superintendent

Principal

IT Coordinator

Teacher

Drives innovation
Provides guidance
Engages in policy
Approves resources

Implements education system’s requirements
Supports teachers
Provides guidance to families

Gives technical guidance
Reviews software
Authorizes access
Ensures privacy and security

Implements policy
Instructs student AI use
Ensures academic integrity and ethical applications
Uses AI to support instruction

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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

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Stage 1: Guidance and Policy

What guidance and policies are needed now to address immediate risks so that AI does not undermine learning in the coming year?

Ensure that AI use complies with existing security and privacy policies,
Provide guidance to students and staff on topics such as the opportunities and risks of AI
Clarify responsible and prohibited uses of AI tools, especially uses that require human review
Define academic integrity standards related to AI.

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Stage 2: Organizational Learning

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?

Prioritize professional development for all staff
Bring together individual educators' experiences with AI to document successes, identify gaps, and build collective organizational knowledge and capacity.
Include operational considerations such as evaluating AI tools already in use and creating selection criteria for future evaluations.

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Stage 3: Improvement and Transformation

How can we identify areas for improvements and effective transformations with potential to scale?

Transformations may include:

Personalized learning
Project-based learning aided by real-time and augmented feedback
A shift to competency-based education
Reduced paperwork allows teachers more time for student connection and support

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AI Guidance for Schools Toolkit

For education authorities, school leaders, and teachers
To help create thoughtful guidance on incorporating AI in education
Principles and a framework for incorporating AI in education
Sample language as a starting point for:

School Guidance on the Use of AI
Addendums to Existing Policies
Letter to Staff
Student and Class Policies
Letter to Parents and Guardians
An AI in Education Presentation

a

Visit teachai.org/toolkit

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Seven Principles for AI in Education

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Seven Principles for AI in Education

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.

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1. PURPOSE: Use AI to help all students achieve educational goals.

Discussion Questions

✅ 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?

Seven Principles for AI in Education - TeachAI

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Seven Principles for AI in Education - TeachAI

2. COMPLIANCE: Reaffirm adherence to existing policies.

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?

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Seven Principles for AI in Education - TeachAI

3. KNOWLEDGE: Promote AI literacy.

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?

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Seven Principles for AI in Education - TeachAI

4. BALANCE: 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?

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Seven Principles for AI in Education - TeachAI

5. INTEGRITY: Advance Academic Integrity.

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?

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Seven Principles for AI in Education - TeachAI

6. AGENCY: Maintain human decision-making

when using AI.

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?

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Seven Principles for AI in Education - TeachAI

7. EVALUATION: 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?

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Teaching With and About AI

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“Adapt assignments, assessments, and grading, which could include features like a scaffolded set of tasks; connections to personal and/or recent content for longer out-of-class assignments; in-class presentations to demonstrate content learned, regardless of if or how AI supported that learning; appropriate citations of AI (like any other source) showing what was used and how; and some skill assessments designed to remove the possibility of AI support.”

—TeachAI Toolkit Principle #3

Advance Academic Integrity

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🧩 Sample language when reviewing your class syllabus: AI tools may be used for brainstorming or preliminary research, but using AI to generate answers or complete assignments without proper citation or passing off AI-generated content as one’s own is considered plagiarism.

Sample Student Agreement for AI Use

AI can help me learn better and is important for my future, so I promise to use it the right way and make smart choices.

I will use AI tools responsibly and will not use AI in a way that could harm myself or others.
I will only use AI to support my learning and will follow my school’s rules and teacher’s instructions on when and how to use AI on an assignment.
I will be honest about when I use AI to help with assignments, and I will not turn in work that is fully created by an AI as my own.
If I use AI, I will review its work for mistakes.
I will check with my teacher when unsure about what is acceptable.

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Relevant Policies in the US

FERPA - AI systems must protect the privacy of student education records and comply with parental consent requirements. Data must remain within the direct control of the educational institution.

COPPA - AI chatbots, personalized learning platforms, and other technologies collecting personal information and user data on children under 13 must require parental consent.

IDEA - AI must not be implemented in a way that denies disabled students equal access to education opportunities.

CIPA - Schools must ensure AI content filters align with CIPA protections against harmful content.

Section 504 - This section of the Rehabilitation Act applies to both physical and digital environments. Schools must ensure that their digital content and technologies, like AI, are accessible to students with disabilities.

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Decomposition: Understanding complex AI problems requires breaking them down into smaller, more manageable parts.
Pattern Recognition: Machine learning relies on recognizing patterns in data. Students practice and develop skills in identifying patterns and trends.
Algorithmic Thinking: Learning about AI exposes students to algorithms, step-by-step solutions to a problem, from simple decision trees to more complex processes.
Debugging: As with any computational task, AI models can sometimes produce unexpected or incorrect results. Solving these issues is central to both AI and computational thinking.
Evaluation: AI frequently demands the assessment of different solutions; this mirrors a key aspect of computational thinking, where solutions are tested and refined based on outcomes.

Computational Thinking

A way of solving problems and designing systems that draw on concepts fundamental to computer science. Learning how AI works is an opportunity to learn computational thinking.

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How AI Works

Gwinnett County

AI Learning Framework

Programming
Data Science
Mathematics
Problem Solving
Ethics
Applied Experiences

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How AI Works

Five Big Ideas in AI

Perception
Representation & Reasoning
Learning
Natural Interaction
Societal Impact

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Ethics

AI

Robotics

Cybersecurity

Data

Science

CS

In an age of AI,

CS isn’t just

mandatory, it is

foundational

Programming

Algorithms

Data

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Data on AI in Education

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Education Systems Worldwide Lack Guidance on AI

Source: UNESCO

Only 7% of education systems provide guidance about the use of generative AI.

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States Lack Formalized AI Initiatives

Source: 2023 State EDTech Trends Report

Only 2% of state edtech leaders say their state has an AI initiative.

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Few US States Provide Guidance on AI (Sept 2023)

Source: CRPE

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Educators Need More AI Knowledge and Experience

Source: Edweek Research Center

How knowledgeable are you about artificial intelligence?

75% have never used AI.

7% use it at work and can teach about applications, bias, and basic technical aspects.

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Educators Lack Professional Development on AI

Source: Edweek Research Center

How much professional development have you received about incorporating AI into your work in K-12 education?

87% have never received any PD about AI.

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Educational Officials are Seeing Increased Interest in AI Guidance

Source: 2023 State EDTech Trends Report

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Both Parents and Students are Concerned about their Data Privacy

Source: Center for Democracy and Technology

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Educators Believe AI Education is Important

Source: Edweek Research Center

On a scale of 0-5, how important do you think it is to teach students how to use tech tools driven by artificial intelligence and understand their potential pitfalls?

43% believe it is a top priority or very important for students to learn how to use AI and understand pitfalls.

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Educators and Students Don’t Know How to Use AI

Source: Hart Research

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Educators believe they have higher priorities other than AI

Source: Education Weekly

67% of parents believe that the potential benefits of AI to K-12 education either outweigh or are equal to the potential drawbacks.

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Educators Usage of AI and Plans for the Future

Source: Education Weekly

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Teachers AI Use for Work

Source: Hart Research

Do teachers use AI for work?

If teachers use AI what do they use it for?

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Student Expectations for AI in the Classroom

Source: Becker, Prather, Denny, & Leinonen

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Post-Secondary Expectations for Future Careers

Agree that they expect to use GenAI tools increasingly in their teaching practices.

Agree that students must be taught how to use GenAI tools well for their future careers.

Agree that they expect to use GenAI tools increasingly in their learning practices.

Agree that students must be taught how to use GenAI tools well for their future careers.

Source: Becker, Prather, Denny, & Leinonen

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Educators Agree that AI Will Impact the Classroom

Source: Clever

Feel that AI will have a significant impact.

Express concern about the challenges of AI.

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AI Usage Has Led to Negative Consequences and Distrust.

Source: Center for Democracy and Technology

Half of teachers report a student has had negative consequences for improper use of AI

62% of teachers feel that AI has made them more distrustful of student’s work

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AI Usage in Education

AI usage among teachers and students is high.

Students with IEPs and/or 504 plans report the highest use of generative AI tools.

However, use for academic purposes remains low at 23%.

Source: Center for Democracy and Technology

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Teen Students have Different Motivations for Using AI

Source: Junior Achievement USA

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Students See the Benefits of AI in the Classroom

Source: Quizlet State of AI in Education Report

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How AI is Impacting Software Developers

Source: Github

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Teachers Believe AI Literacy is an Important Skill

Source: Capgemini Research Institute

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AI and Machine Learning Jobs are Growing

Source: World Economic Forum

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Skills Required for Job Success are Changing

Source: LinkedIn Future of Work Report

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Employers are Looking for AI Experience

Source: LinkedIn Future of Work Report

Globally, English-language job postings mentioning GPT or ChatGPT increased 21x since November 2022.

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Parents are Concerned Students Aren’t Being Prepared

Source: National Parents Union

Feel their child is well prepared to use AI tools in their education.

Feel that schools are preparing students to succeed in an AI Future.

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Parents Just Don’t Understand… AI

Source: National Parents Union

Only 16% of parents feel that they have a detailed understanding of AI.

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Parents Believe AI Will Be A Benefit

Source: National Parents Union

67% of parents believe that the potential benefits of AI to K-12 education either outweigh or are equal to the potential drawbacks.

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Perspectives

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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

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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

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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

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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

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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

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Ongoing Support

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Share Feedback

Please give us feedback on this presentation and let us know how you’re using it.

Feedback

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Get Email Updates about TeachAI

Visit teachai.org/toolkit

TeachAI is committed to providing thought leadership to guide governments and educational leaders in aligning education with the needs of an increasingly AI-driven world and connecting the discussion of teaching with AI to teaching about AI and computer science.

TeachAI

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Thank you!

EMAIL

info@teachai.org

WEBSITE

TeachAI.org

In coordination with the World Economic Forum