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Building AI Literacy: Strategies for Teaching AI to Students


An African American female teacher stands thoughtfully in front of a chalkboard with the quote, "If we teach today's students as we taught yesterday's, we rob them of tomorrow." written on it. Around her head, floating in the air, are visual representations of modern educational tools and ideas, including icons of technology like tablets, coding symbols, and AI-related imagery. The image contrasts the traditional classroom setting with the innovative, forward-thinking concepts swirling around the teacher.

According to the Microsoft and LinkedIn Report, "AI at Work is Here...May 2024", 75% of knowledge workers globally use AI. This is almost double what it was the previous November. Also noted in this report, 66% of employers would not hire someone without AI skills, and 71% of employers are more likely to hire a less experienced candidate with AI skills than a more experienced one without them. In examining the pace of with AI, I agree with Peter Diamandis, who said, "We can expect to experience more progress in the next decade than the previous 100 years combined."


To ensure that we do not create a new "AI Divide", we must ensure that we are preparing our students to be employable citizens in a highly competitive job market when the graduate. For today's students, that means that they must leave us AI Literate. What does this mean? According to ChatGPT, "AI Literacy is the foundational knowledge and skills needed to understand, interact with, and critically evaluate artificial intelligence systems." So, as educators, where do we start?


A teacher guides students in a classroom with digital AI tools and resources, including chatbots, neural networks, and coding symbols. Students engage with laptops, tablets, and smartboards, highlighting the progression of AI skills.
Empowering students with AI literacy in the classroom

The answer is with ourselves. We must become AI literate before we ever consider introducing it to our students. If we don't understand how AI works, how to interact with it effectively and efficiently, and if we don't understand the concerns and considerations with partnering with AI, we can't teach it to our students. There are several resources that I would recommend you spend some time with before considering introducing your students to AI. I have listed them here:



Once you have familiarized yourself with AI, it is important to understand what AI tools your students can legally use based on their age. The vast majority of AI products are for people 18 and over. Some AI tools that have been developed explicitly for educational use are allowed for students 13 and over, typically with parental permission. Where can you find this information? Age restrictions on any digital platforms/websites will be found under the Terms of Use. If you don't feel like taking the time to read through that, a simple Google search will generally tell you what the age restrictions are for the given tool.


Here's a quick list of AI tools and websites that students 13 and over may have access to:


The next step is to introduce it to your students. This will look different depending on what grade level you teach. North Carolina, a leader in pioneering AI education has these recommendations for an AI Literacy Timeline:

A graphic titled "Recommended Student AI Literacy Timeline" from the Public Schools of North Carolina. The timeline is divided into three sections based on grade levels: PK-5, 6-8, and 9-13. The PK-5 section advises against direct student interaction with chatbots and emphasizes focusing on computer science standards, digital citizenship, media literacy, and age-appropriate AI learning. The 6-8 section suggests that after learning about AI, students may begin using AI with teacher-created and monitored chatbots, continuing the focus on similar topics while adding data literacy. The 9-13 section indicates that students may start using AI in more independent use cases, with a continued emphasis on computer science, digital citizenship, media literacy, data literacy, and understanding AI. The timeline highlights the importance of following Terms of Service, CIPA, COPPA, FERPA, and PSU/District 3rd Party App policies at all levels.

If you're hesitant about bringing AI into the classroom, you can start with non-digital activities that expose students to the idea and implications of using AI. A great way to do this is with "Snapshots". You can access a set of cards for grades 6-12 for free at aiedu.org. You can see an examples by subject of these task cards below:


An educational slide titled "Timeout" from AI Snapshots by aiEDU, focused on Twitch's use of AI to manage trolls. The slide explains how the streaming service Twitch deals with trouble caused by trolls, who often create new accounts after being banned. Twitch's Suspicious User Detection AI compares "aggressive" chat behavior with that of banned users to identify those using multiple accounts. The slide includes an image of a hooded figure labeled "Internet Troll," representing the concept of online trolling. At the bottom, a question is posed: "Who could benefit from this technology and who could be harmed by it?"

An educational slide titled "You may have considered..." from AI Snapshots by aiEDU, numbered 2 in the series. The slide lists potential considerations regarding Twitch's AI for detecting aggressive behavior in chat. Bullet points include: the possibility of wrongful bans, benefits for moderators and streamers in making chat easier to moderate and less toxic, questions about who defines "aggressive" behavior, what the AI filter might miss, and other possible uses for the filter. The slide is labeled as English, with a speech bubble icon representing discussion.

An educational slide titled "You wouldn’t steal a cow" from AI Snapshots by aiEDU, focused on the use of facial recognition technology for cows. The slide explains that in late 2020, researchers developed an app that uses facial recognition to identify individual cows, with the potential to create a national tracing system for cows. The slide includes an illustration of cows and a smartphone displaying the app, identifying a cow. At the bottom, a question is posed: "Who could benefit from this technology and who could be harmed by it?"

An educational slide titled "You may have considered..." from AI Snapshots by aiEDU, numbered 4 in the series. The slide lists potential considerations regarding the use of facial recognition technology for cows. Bullet points include: the ability for farmers and farmhands to identify escaped cows, the potential for easier tracing of disease outbreaks, concerns about whether the technology is clunky or easy to use, and the possibility that cow thieves might have a harder time stealing cows. The slide is labeled as Science, with a speech bubble icon representing discussion.

An educational slide titled "First served" from AI Snapshots by aiEDU, focused on the challenges of large-scale vaccine distribution during COVID-19. The slide explains how officials use statistics like population density, residents' age, and the number of hospitals to prioritize communities, but the process is time-consuming and often inaccurate. The slide includes a design challenge, asking how one would design an AI to solve this problem using lists of cities and statistics about them, such as the number of hospitals. An illustration depicts vaccine distribution with location markers.

An educational slide titled "You may have considered..." from AI Snapshots by aiEDU, numbered 3 in the series. The slide lists potential considerations regarding the design of AI for vaccine distribution. Bullet points include: determining which factors make someone high-risk, potential bias in the statistics used for decision-making, backlash against public health officials, and the deadly impacts of getting things wrong and the liability associated with them. The slide is labeled as Math, with a speech bubble icon representing discussion.
An educational slide titled "New post who dis" from AI Snapshots by aiEDU, focused on AI-based text analysis used to identify an anonymous cult leader from posts on 4chan and 8chan. The analysis revealed that the cult leader was actually three people using one account. The slide poses a question: "What questions would you ask to figure out how this AI text analysis worked?" The slide features icons representing different individuals and is labeled as Social Studies.

An educational slide titled "You may have considered..." from AI Snapshots by aiEDU, numbered 4 in the series. The slide lists potential considerations regarding the AI-based text analysis that identified an anonymous cult leader. Bullet points include: how the researchers collected the data, what evidence led them to believe the account was used by three people, how long the analysis took, and who paid for the analysis and why. The slide is labeled as Social Studies, with a speech bubble icon representing discussion.

When you're ready to for the next level of AI, consider using pre-made resources to save yourself time and effort. I have curated a list of ready to go lessons and materials for you here:



A vibrant abstract image representing cheating as a philosophical issue. The central focus is a balance scale with one side holding a colorful stack of books and the other side holding a brightly lit brain, symbolizing the contrast between knowledge and ethics. Surrounding the scale are blurred digital symbols like code and algorithms, representing the technical aspect, which fades into the background. The background is a dynamic mix of bright, contrasting colors such as blue, orange, and purple, reflecting the moral ambiguity and complexity of ethics in cheating. The overall tone is vibrant and thought-provoking.

AI & Cheating

I would be remiss if I didn't address the elephant in the room. I can't begin to tell you how many times I've heard educators say they won't use AI, or allow their students to use AI because they'll only use it for cheating. However, this issue is a philosophical one, not a technological one. According to a 2023 Standford University study, 60-70% of students cheated after ChatGPT became widely available. Would you like to guess how many students cheated before ChatGPT? Astonishingly, 60-70%. What this says to me is that where there is will there is a way, and cheaters are going to cheat.


So, how do we address the ethical use of AI? Talk with your students. Have the difficult conversations about the potential of misuse of AI. Collaborate with AI to design process over product type assignments. Requiring students to submit outlines, rough drafts, and notes can help. Requiring personal reflections and anecdotes, incorporating more oral presentations and projects, and create assignments that require evaluative thinking. These are what are typically referred to as "AI resistant" assignments. Funny enough, collaborating with AI can help you design these!


I also want to pass along a note of caution. If you are using an AI Detector to try to determine if a student has cheated, PLEASE STOP! They are not accurate and are only becoming less so with the advent of new AI tools and more tech savvy students. AI detectors return a high number of false positives, meaning they say there has been AI use when there really hasn't been. There is a gross lack of transparency on how these tools actually work, and they are especially discriminatory towards non-native English speakers. If you consider how AI works (predicting the next word based on its training data set and user prompting), and that the vast majority of data it was trained on is in English, students who may have a different speech pattern will be flagged at much higher rates than students who speak and write English well. Many colleges and universities are banning the use of these detectors, and OpenAI, creators of ChatGPT, abandoned their attempts at creating one.


If you are teacher learning about AI and you have questions, please don't hesitate to reach out. You can leave a question in the comment box below or connect with me on any of my social media channels. Be sure to check back soon for the final post in this AI series.


AI Series:


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AI Disclaimer: Blog post title and some images created in collaboration with ChatGPT.

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