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Artificial Intelligence Q&A

AI鈥檚 Potential in Special Education: A Researcher鈥檚 View

By Lauraine Langreo 鈥 December 09, 2024 5 min read
Custom illustration by Stuart Briers showing a finger illuminating a spot on the back of another hand that is illuminating keys on a blue computer keyboard with AI apps floating all around.
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Matthew Marino, a professor at the University of Central Florida who studies the intersection of technology and special education, is excited about the potential of generative artificial intelligence for teaching and learning.

AI is 鈥済oing to open a whole new front for education,鈥 he said.

The sentiment is shared by a majority of parents and educators of students with learning disabilities, according to a report from the Special Olympics Global Center for Inclusion in Education. The survey shows that parents and educators believe AI will make learning more accessible, inclusive, and personalized. But they鈥檙e also concerned about AI鈥檚 potential to decrease human interaction and leave some schools and students behind.

Marino underscores that there are ways AI shouldn鈥檛 be used in instruction, especially because there still isn鈥檛 enough data on how using generative AI for instruction could affect students with disabilities. Most datasets that AI tools are trained on contain a lot of information about neurotypical students, but they don鈥檛 have nearly as much to draw from on students in special education, which could translate into technology that isn鈥檛 as helpful for those populations.

Marino spoke with Education Week about why he鈥檚 excited about AI for special education, what research is out there, and how educators can use the emerging technology.

This interview has been edited for brevity and clarity.

Could you explain why you think AI is 鈥榞oing to open a whole new front for education?鈥

Matthew Marino

The capabilities we now have with AI are absolutely amazing. 69传媒 no longer need to struggle to write a paragraph, for example. All they have to do is create a prompt, and a large language model can write for them. I鈥檓 not saying it鈥檚 a tool that鈥檚 going to be used in place of learning to write, but it鈥檚 a tool enabling students who have disabilities to spend more time refining their thinking than on generating basic text content. I have a student with muscular dystrophy who can鈥檛 physically write a paragraph. It allows students like him to spend time evaluating their thoughts and organizing them in a way where they can be communicated effectively.

Why is that approach more beneficial?

A lot of times, kids will get stuck with the first task, where they have to take information that they鈥檝e learned in one context and transfer the knowledge into a paper. This type of assignment is common in classrooms across the country. When students have to generate text from scratch, they often shut down and do nothing or they become a behavior problem for the teacher.

What we鈥檙e trying to do is give them a venue where they can generate text information and reflect on it. We want them to develop a thought process following the scientific method. They鈥檙e using the problem-solving method to analyze text that鈥檚 been generated by AI.

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What research is already out there on using generative AI for special education students?

There鈥檚 very little published peer-reviewed research on AI and education. The reason is because of the rapid development cycles associated with AI. There鈥檚 new software coming out every week, with major revisions occurring about every six months. Right now, most of the studies are exploratory case studies. There are no experimental or quasi-experimental studies because of the nature of research projects and how long they take.

By the time researchers get through the [institutional review board] approval to actually do their research, and carry out the study, the AI software is already dated. We submit the results for peer review. It鈥檚 in review for six months, and then by the time it鈥檚 actually published, the software is really outdated. That鈥檚 a big challenge that we鈥檙e going to have to work through as we move forward. The old school way we鈥檙e doing research, carrying out research projects, and publishing the information has to change in order for us to stay current with what we鈥檙e actually doing research on.

It shouldn鈥檛 be seen as a replacement for effective teachers or reason for students to not work hard. We should be using AI to help students with things like executive-function skills.

Some teachers are hesitant to use AI in their work or with their students. What would you say to them?

I would say I鈥檓 extremely excited about it. The capabilities of AI are absolutely amazing.

I鈥檒l give you an example. I was working with a student not long ago, and we were looking for some graphic organizers to help the student to understand the differences between a plant cell and an animal cell. After we spent some time on the internet, I started thinking, 鈥淲ell, maybe I should use AI and see if AI can create it for me.鈥 So I just typed in a quick prompt and said, 鈥淐reate an infographic comparing animal and plant cell organelles.鈥 Within 15 seconds, I had a beautiful graphic with everything I wanted for the student. It would have taken an additional 10 or 15 minutes to find a good graphic without the AI. The amount of time teachers can save is amazing, not only on the student instruction side but also on the assessment side.

Do you have an example for the assessment side?

I can give you an example from a special education administrator鈥檚 perspective. We did a study last winter looking at a school district in the northeast [United States]. The school district was using Excel spreadsheets to collect IEP services data from case managers in the district. The district administrators were using the data to develop budget and staffing projections for the school board.

In a district where you have 100 case managers, each with 20 students on their caseload, you have a pretty big data set. Administrators can spend months synthesizing and analyzing the data. The administrators in this study were able to use a generative pretrained transformer, or GPT, called 鈥渄ata analyst.鈥 By just typing in a prompt, data analyst was able to take all of the different Excel spreadsheets and combine the data into a compelling narrative with graphics to support staffing decisions. It鈥檚 normally a three-month project. They did it using data analyst in three days.

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Nicole Xu for Education Week

Are there ways that AI should not be used with special education students?

It shouldn鈥檛 be seen as a replacement for effective teachers or reason for students to not work hard. We should be using AI to help students with things like executive-function skills. That means planning and organizing their day, coming up with tasks, using the reminders features, and using text-to-speech. It鈥檚 not going to replace the thought process students go through. It鈥檚 a tool they will have on their phones and in their pockets for life.

Do you have any other suggestions for special education teachers looking to try AI?

Teachers should look strategically at their students and [ask themselves]: If I spend my time using artificial intelligence with the student, what are the benefits and limitations going to be and what is the return on investment?

Once they鈥檝e made the decision to use AI, they should develop a plan where they implement the AI in a consistent way over time. Then they can evaluate if it improved the student鈥檚 performance. It has a lot of potential.

Coverage of education technology is supported in part by a grant from the Chan Zuckerberg Initiative, at . Education Week retains sole editorial control over the content of this coverage.
A version of this article appeared in the December 18, 2024 edition of Education Week as AI鈥檚 Potential in Special Education: A Researcher鈥檚 View

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