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AI Literacy, Explained

By Alyson Klein 鈥 May 10, 2023 10 min read
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K-12 students have grown up in a world where artificial intelligence informs what their families buy at the grocery store,, and even how the photo filters work on their favorite social media apps.

But the technology was largely invisible to them鈥攁nd their teachers鈥攗ntil a new version of ChatGPT burst onto the educational scene late last year. The tool can spit out an essay on Shakespeare, a detective novel, or a legal brief that appears remarkably like something a human has labored over. It can also do computer coding.

The technology poured accelerant on a conversation already underway: Now that AI is shaping nearly every aspect of our lives and is expected to transform fields from medicine to agriculture to policing, what do students need to understand about AI to be prepared for the world of work? To be a smart consumer and a responsible citizen?

鈥淭he AI genie is out of the bottle,鈥 said Cynthia Breazeal, a professor of media arts and sciences at the Massachusetts Institute of Technology. 鈥淚t鈥檚 not just in the realm of computer science and coding. It is affecting all aspects of society. It鈥檚 the machine under everything. It鈥檚 critical for all students to have AI literacy if they are going to be using computers, or really, almost any type of technology鈥 in their daily lives.

The question of what makes a person AI literate is evolving. But it involves delving into technical questions like: 鈥淲hat鈥檚 happening under the hood? How does it work? How does it impact me and the world around us?鈥 said Bryan Cox, the lead computer science specialist at the Georgia education department.

AI literacy is something that every student needs exposure to鈥攏ot just those who are planning on a career in computer science, experts argue.

鈥淲hen we all went to school, we learned how the light bulbs work or how the digestive system works or how photosynthesis works,鈥 said Hadi Partovi, the CEO of Code.org, which works to expand computer science offerings in K-12 schools. 鈥淎nd you teach those things to everybody, not just the botanists or the electricians or the surgeons. You learn [these things] to have a better understanding of your world. But most people don鈥檛 know how the internet works, how a smartphone works, how an algorithm works, and they definitely don鈥檛 know how AI works.鈥

Here鈥檚 how to begin developing AI literacy, according to experts and educators:

1. Why it鈥檚 vital to have a basic understanding of how AI works

Grasping the technical aspects of AI鈥攈ow the technology perceives the world, how it collects and processes data, and how those data can inform decisions and recommendations鈥攃an help temper the oftentimes inaccurate perception that AI is an all-knowing, infallible force, experts say.

鈥淲e need to demystify how these systems work, how you build these things, at a grade-appropriate kind of level, because there鈥檚 so much hype and confusion,鈥 Breazeal said. 鈥淧eople talk about these things like a conscious ether that surrounds us. [Students] need to understand that we鈥檙e really talking about [something] people actually make and control and engineer.鈥

Artificial intelligence technologies replicate human-like intelligence by training machines and computer systems to do tasks that simulate some of what the human brain can do. It relies on systems that can actually learn, usually by analyzing vast quantities of data and searching out new patterns and relationships. These systems can actually improve over time, becoming more complex and accurate as they take in more information.

To be sure, some students can delve deeper into the inner workings of AI than others, she added. 鈥淚f you鈥檙e an AP Computer Science kid, you鈥檙e going to get a little more in the technical weeds about it,鈥 Breazeal said.

But all students must grasp that the decisions that AI makes鈥攚hether it鈥檚 to recommend a particular pair of boots to an Amazon customer or to flag a job applicant as a promising prospect for an employer鈥攁ren鈥檛 driven by the same kind of nuanced and creative reasoning a human can perform.

Instead, it鈥檚 鈥渞eally advanced guesswork,鈥 Partovi said. 鈥淎I right now is based on probability and statistics. It makes errors. It can spread misinformation. It can have bias. Understanding how it actually works underneath is important so that people recognize the weaknesses it has.鈥

And Partovi noted that students still need to learn how to write, even though the writing skills of technologies like ChatGPT are more sophisticated than most people might have imagined. The same idea applies to learning computer coding, he said. 鈥淭he superpowers of AI are only available to people who know how to write or how to code,鈥 Partovi said.

In fact, students want to know more about AI. More than nine in 10 teens say they would be interested in learning in high school about how to work with artificial intelligence, according to a survey by the nonprofit Junior Achievement with the marketing and data firm Big Village, conducted between February and March of this year.

Students should have some idea of how machines perceive the world, said Breazeal, citing a framework developed by , a nonprofit organization aimed at helping schools teach AI. That means discussing things like speech-recognition technology, sensors, and machine vision and understanding how they work.

Children in early-elementary school, for instance, could start with a simple lesson in which they identify the human organs鈥攅ars, eyes鈥攊nvolved in hearing and seeing and then find their technological counterparts 鈥攎icrophone, camera鈥攐n a digital device.

Students also need to understand how biases in the data that鈥檚 used to train AI can allow the technology to continue to perpetuate discriminatory policies unless humans recognize the problem and do something about it.

2. Give students hands-on opportunities to understand how the technology works

One hands-on lesson for more advanced students: Give them a flawed historical dataset on which to train an AI system, Partovi said. For instance, students could create a program that gives suggested salary ranges for a company鈥檚 employees.

If that program is informed using data in which women are paid less than men for doing the same job, the technology will probably propose lower salaries for female employees than for male workers. But if women are at salary parity with men in the dataset, the results will be more equitable.

There are other ways of illustrating how human subjectivity can penetrate AI鈥檚 decisionmaking. For instance, the technology organizes information to draw conclusions, a less clear-cut process than students may initially realize.

To illustrate this, students in a middle school AI course that Georgia is piloting play a game in a physical classroom that initially asks students to decide whether something is edible or not, Cox said. Depending on their decisions, students choose where to stand in the room.

Some of the answers are obvious: A metal stop sign is not edible, for instance.

But there can be disagreement on a word like 鈥渃hicken,鈥 which vegetarians in the class may claim is not edible.

From there, the game begins adding more and more categories and subcategories to the list of options, mimicking how AI algorithms can work.

During the activity, 鈥済reat conversations erupt,鈥 said Cox from the Georgia education department. 鈥淎nd we鈥檒l talk to the students about how the computer is making those same determinations鈥 based on the viewpoints of the majority of people it interacts with. And those determinations are often faulty ones.

3. Discuss and analyze ethical questions about the technology

Once students are aware that humans鈥攁nd not some sentient robot鈥攁re behind how these tools analyze and communicate, they can think about them in a broader context.

And that raises all kinds of important and interesting ethical issues. In Georgia鈥檚 middle school AI course, for instance, students might consider a case of passengers going to sleep in the backseat of a self-driving car while it continues along the road.

Then they鈥檒l unpack questions without easy answers: 鈥淲hat are the legal implications of that? Do we need to stop them from doing that? Or is AI to the point where you can actually sleep in the backseat of a car and let it drive itself?鈥 Cox said.

They can discuss legislation in states that have banned facial-recognition software, which is notoriously less reliable when it comes to identifying women and people of color. .

Students consider questions like: Should all states ban facial-recognition software until it becomes more accurate? Or could it be used for some purposes but not others?

They can also discuss data-privacy concerns, including the implications of having devices such as smart speakers鈥擜mazon鈥檚 Alexa, Google Assistant, and Apple鈥檚 Siri, among others鈥攊n homes. Teachers will pose questions: 鈥淗ow is that impacting you? Is it listening to you all the time? Is it sending information back to Google or Amazon all the time?鈥 Cox said. 鈥淭hat鈥檚 really one of the biggest things we wanted to be able to do is to help them guard against the unintended consequences of AI.鈥

4. How to interact effectively with AI

Students will need to practice using AI tools to get information, the same way previous generations learned the card-catalog system to navigate the library.

ChatGPT, for instance, is deeply influenced by the prompt a user gives it, said Torrey Trust, an associate professor of learning technology in the College of Education at the University of Massachusetts Amherst.

For instance, a student could tell the tool to 鈥溾檞rite about the American Revolution.鈥 It鈥檚 gonna give a very textbook response. And then you could say, 鈥榳ell, write about 15 women who shaped the American Revolution or draw connections between 15 women today and the American Revolution,鈥欌 she said. 鈥淭he way you prompt the tool completely changes the output and your thinking and learning.鈥

The stakes in the real world, of course, can be a lot higher than a classroom assignment. Getting the prompt right can turn into a 鈥渕atter of life and death鈥 for a doctor using AI to pinpoint a diagnosis, Trust said.

That鈥檚 why it鈥檚 not a good idea to ban ChatGPT or other AI tools, as New York City and some other school districts have done, Partovi said. He noted that while the nation鈥檚 largest public school district essentially banned the technology except for use in limited circumstances, at least one prominent Manhattan private school is offering instruction in 鈥減rompt engineering,鈥 an AI skill that could lead to a lucrative job. And that makes AI skill development an equity issue, some experts argue.

鈥淚 think a lot of the pushback was, 鈥榳ell, why do people need to know computational thinking in English/language arts?鈥欌 Trust said. 鈥淎nd I think AI has made that more clear.鈥

5. Let students know that AI skills are not just for computer science experts

Students need to be exposed to how AI is being used in the workforce today and how they might use the technology in their future careers, even if they don鈥檛 go into a computer science field.

鈥淭here are all kinds of people involved in the design and deployment of AI-based solutions,鈥 Breazeal said. 鈥淥ne of the things we try to do is show [how AI impacts] very diverse roles, diverse industries so that kids can appreciate that 鈥榗hances are when I enter the workforce, if I鈥檓 not making these AI kinds of things, I鈥檓 probably at least using them in a way that helps me get my job done.鈥欌

In fact, if students are going to enter a policy field鈥攐r simply vote in elections鈥攖hey鈥檒l also need a grounding in how the technology works, said Leigh Ann DeLyser, the executive director and co-founder of CSforALL, a nonprofit organization, which seeks to help expand computer science education.

鈥淭he lack of solid citizenship understanding of how technology works leads business leaders and policy leaders to make bad decisions and ask crappy questions,鈥 DeLyser said. For instance, during a recent congressional hearing at which TikTok鈥檚 CEO Shou Zi Chou testified, lawmakers appeared to misunderstand very basic information about how data storage and the app鈥檚 terms of use work.

What鈥檚 more, MIT鈥檚 Breazeal and other experts say that AI will work best when it is designed by people who are part of the community that the tool is aimed at serving. Having people from a variety of backgrounds鈥攔acial, socioeconomic, age, gender, profession鈥攃an help root out some of the biases embedded in society and, therefore, AI.

厂迟耻诲别苍迟蝉鈥particularly those from communities that are underrepresented in the AI field鈥攏eed to understand that by getting in on the ground floor of this technology, they can help ensure that it works better.

鈥淵ou have to take kids seriously,鈥 Breazeal said. 鈥淲e want to empower them to say, 鈥業 can make a difference right now.鈥 So let鈥檚 get you the education, the curriculum, the tools, the community so that you can make a difference. And that鈥檚 super empowering for kids.鈥

A version of this article appeared in the June 07, 2023 edition of 澳门跑狗论坛 as AI Literacy, Explained

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