Teachers Are More Wary of AI Than Administrators. What Would It Take to Change That?
Artificial Intelligence Q&A

Teachers Are More Wary of AI Than Administrators. What Would It Take to Change That?

By Lauraine Langreo — January 26, 2024 4 min read
Illustration of teacher using ChatGTP; artificial intelligence.
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Clarification: This article has been updated to reflect that the research about the role of artificial intelligence in education was conducted by the Michigan Virtual’s research arm.

A new study from the Michigan Virtual found that K-12 teachers are generally more hesitant, concerned, and feel negatively about using artificial intelligence, while administrators and curriculum designers have more positive views about the technology.

There’s also a correlation between teachers who were familiar and comfortable with AI technology and those who felt positively about it and were better able to integrate it into their classrooms, according to the study, which collected data from educators through an anonymous survey and from discussion boards in its AI professional learning courses. This research was developed through the Michigan Virtual Learning Research Institute, which is an arm of nonprofit Michigan Virtual dedicated to conducting research, consulting, and creating free and accessible resources for educators.

The study echoes a recent EdWeek Research Center survey that found two-thirds of teachers said they aren’t using AI-powered tools in their classrooms. Among their reasons: not knowing how to use these tools effectively and appropriately and concerns about AI hindering students’ ability to think for themselves and do original work.

Nikolas McGehee, a senior data scientist for Michigan Virtual and the author of the report, talked to Education Week about why K-12 teachers are hesitant to use AI and what districts need to do to prepare teachers to use the technology.

This interview has been edited for brevity and clarity.

Was there a finding in the study that was surprising to you?

Nikolas McGehee is a senior data scientist for Michigan Virtual.

The biggest surprise for me was that even though the K-12 teachers had the lowest adoption rate of using AI tools for themselves or in the classroom and they had the lower opinions overall, still, there were a decent amount of them that were using it and that made me really hopeful. What I found and also what other studies have found is that K-12 teachers seem to be the most hesitant to adopt and they have the most concerns with AI technology. A lot of administrators [are like] “yeah, let’s do this!” The teachers are like, “well, you know, we might want to think about it.”

Why are K-12 teachers more hesitant?

Because K-12 teachers tended to adopt the technology less and those who use the technology had more favorable opinions, it stands to reason that if you’re not using it and you’re not familiar with what these tools are capable of, then you’re going to have more concerns. Familiarity is one of the keys in resolving a lot of these anxieties.

A lot of [K-12 teachers’] concerns had to do with the accuracy at the time—I did this research in 2023 and things have already evolved. But a lot of these things are still definitely true. We’re all aware of problems like [AI] hallucination. Sometimes, [generative AI tools] will just make up stuff. One of the other concerns is plagiarism and checking if students copy and paste from ChatGPT or other resources. There were also concerns about teacher replacement, but that was a very small issue.

When you're talking about a teacher who works around eight hours a day in the classroom, then grades papers, and then does this, that, or the other, [AI can be] a real game changer for them.

What were some positive feelings teachers had about AI?

One of the things that teachers mentioned is how AI can assist with personalized learning and instruction to quickly develop feedback loops. They also mentioned differentiation of content. [For example,] I could take a math lesson about slope intercept, and I could say, “Well, these students are interested in sports, these students are really interested in agriculture, these students really like anime, etc.” And I can [use generative AI tools to] differentiate the problems or lessons that I’m going to put before each of those groups.

AI can also cut down on time spent on administrative tasks, like creating lessons, writing emails to parents, or developing a syllabus. When you’re talking about a teacher who works around eight hours a day in the classroom, then grades papers, and then does this, that, or the other, [AI can be] a real game changer for them.

What do teachers need to be more comfortable with AI?

We have to address the concerns that students will use it as a crutch. We also need to find ways to address responsible and ethical use concerns. Then we need to introduce teachers to these tools and what they’re capable of, and what they’re not capable of, so they have a better understanding of AI.

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What should schools keep in mind as they discuss the role of AI in teaching and learning?

If you’re going to be using a tool, you need to know how to use it. There needs to be some purposeful time set aside for people to learn how to use the tools. I’m not talking about an afternoon set aside mandatorily by the district, where they have somebody up in front of a room of 1,200 teachers quickly running through how to use this new tool. We don’t want our teachers to feel like complete novices navigating this tool. They need to have as much time with it [as possible], so they understand how it’s used before it gets fully implemented as part of their toolkit.

And not only that, they don’t need to be alone. Really making it a community effort among your educators is also going to be key to creating successful policy because any good administrator knows that you listen to your teachers, and if you’re not allowing them to talk openly and freely about these things, then your policy is going to bomb.

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