Featured Post from University of Florida

AI in the classroom: What parents need to know

Mar 10, 2026

4 min

As students return to classrooms, Maya Israel, professor of educational technology and computer science education at the University of Florida, shares insights on best practices for AI use for students in K-12. She also serves as the director of CSEveryone Center for Computer Science Education at UF, a program created to boost teachers’ capabilities around computer science and AI in education. Israel also leads the Florida K-12 Education Task Force, a group committed to empowering educators, students, families and administrators by harnessing the transformative potential of AI in K-12 classrooms, prioritizing safety, privacy, access and fairness.

How are K–12 students using AI in classrooms?

There is a wide range of approaches that students are using AI in classrooms. It depends on several factors including district policies, student age and the teacher’s instructional goals. Some districts restrict AI to only teacher use, such as creating custom reading passages for younger students. Others allow older students to use tools to check grammar, create visuals or run science simulations. Even then, skilled teachers frame AI as one tool, not a replacement for student thinking and effort.

What are examples of age-appropriate tools that enhance learning?

AI tools can be used to either enhance or erode learner agency and critical thinking. It is up to the educators to consider how these tools can be used appropriately. It is critical to use AI tools in a manner that supports learning, creativity and problem solving rather than bypass critical thinking. For example, Canva lets students create infographics, posters and videos to show understanding. Google’s Teachable Machine helps students learn AI concepts by training their own image-recognition models. These types of AI-augmented tools work best when they are embedded into activities such as project-based learning, where AI supports learning and critical thinking.

How do teachers ensure AI supports core skills?

While AI can be incredibly helpful in supporting learning, it should not be a shortcut that allows students to bypass learning. Teachers should design learning opportunities that integrate AI in a manner that encourages critical thinking. For example, if students are using AI to support their mathematical understanding, teachers should ask them to explain their reasoning, engage in discussions and attempt to solve problems in different ways. Teachers can ask students questions like, “Does that answer make sense based on what you know?” or “Why do you think [said AI tool] made that suggestion?” This type of reflection reinforces the message that learning does not happen through getting fast answers. Learning happens through exploration, productive struggle and collaboration.

Many parents worry that using AI might make students too dependent on technology. How do educators address that concern?

This is a very valid concern. Over-reliance on AI can erode independence and critical thinking, that’s why teachers should be intentional in how they use AI for teaching and learning. Educators can address this concern by communicating with parents their policies and approaches to using AI with students. This approach can include providing clear expectations of when AI is used, designing assignments that require critical thinking, personal reflection and reasoning and teaching students the metacognitive skills to self-assess how and when to use AI so that it is used to support learning rather than as a crutch.

How do schools ensure that students still develop original thinking and creativity when using AI for assignments or projects?

In the age of AI, there is the need to be even more intentional designing learning experiences where students engage in creative and critical thinking. One of the best practices that have shown to support this is the use of project-based learning, where students must create, iterate and evaluate ideas based on feedback from their peers and teachers. AI can help students gather ideas or organize research, but the students must ask the questions, synthesize information and produce original ideas. Assessment and rubrics should emphasize skills such as reasoning, process and creativity rather than just focusing on the final product. That way, although AI can play a role in instruction, the goal is to design instructional activities that move beyond what the AI can do.

How do educators help students understand when it’s appropriate to use AI in their schoolwork?

In the age of AI, educators should help students develop the skills to be original thinkers who can use AI thoughtfully and responsibly. Educators can help students understand when to use AI in their school work by directly embedding AI literacy into their instruction. AI literacy includes having discussions about the capabilities and limitations of AI, ethical considerations and the importance of students’ agency and original thoughts. Additionally, clear guidelines and policies help students navigate some of the gray areas of AI usage.

What guidance should parents give at home?

There are several key messages that parents should give their children about the use of AI. The most important message is that even though AI is powerful, it does not replace their judgement, creativity or empathy. Even though AI can provide fast answers, it is important for students to learn the skills themselves. Another key message is to know the rules about AI in the classroom. Parents should speak with their students about the mental health implications of over-reliance on AI. When students turn to AI-augmented tools for every answer or idea, they can gradually lose confidence in their own problem-solving abilities. Instead, students should learn how to use AI in ways that strengthen their skills and build independence.

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Maya Israel

Associate Professor

Maya Israel researches how to support academically diverse learners’ meaningful engagement in computer science education.

Technology IntegrationComputer Science EducationSpecial EducationUniversal Design for Learning

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Apr 12, 2026

3 min

Study finds most cancer patients exposed to misinformation; UF researchers pilot 'information prescription'

Ninety-three percent of patients with a new cancer diagnosis were exposed to at least one type of misinformation about cancer treatments, a UF Health Cancer Center study has found. Most patients encountered the misinformation — defined as unproven or disproven cancer treatments and myths or misconceptions — even when they weren’t looking for it. The findings have major implications for cancer treatment decision-making. Specifically, doctors should assume the patient has seen or heard misinformation. “Clinicians should assume when their patients are coming to them for a treatment discussion that they have been exposed to different types of information about cancer treatment, whether or not they went online and looked it up themselves,” said senior author Carma Bylund, Ph.D., a professor and associate chair of education in the UF Department of Health Outcomes and Biomedical Informatics. “One way or another, people are being exposed to a lot of misinformation.” Working with oncologists, Bylund and study first author Naomi Parker, Ph.D., an assistant scientist in the UF Department of Health Outcomes and Biomedical Informatics, are piloting an “information prescription” to steer patients to sources of evidence-based information like the American Cancer Society. The study paves the way for other similar strategies. Most notably, the study found the most common way patients were exposed to misinformation was second hand. “Your algorithms pick up on your diagnosis, your friends and family pick up on it, and then you’re on Facebook and you become exposed to this media,” Parker said. “You’re not necessarily seeking out if vitamin C may be a cure for cancer, but you start being fed that content.” And no, vitamin C does not cure cancer. Health misinformation can prevent people from getting treatment that has evidence behind it, negatively affect relationships between patients and physicians, and increase the risk of death, research has shown. People with cancer are particularly vulnerable to misinformation because of the anxiety and fear that comes with a serious diagnosis, not to mention the overwhelming amount of new information they have to suddenly absorb. While past research has studied misinformation by going directly to the source — for instance, studying what percentage of content on a platform like TikTok is nonsense — little research has looked at its prevalence or how it affects people. The team first developed a way to identify the percentage of cancer patients exposed to misinformation. UF researchers collaborated with Skyler Johnson, M.D., at Huntsman Cancer Institute, an internationally known researcher in the field. The survey questions were based on five categories of unproven or disproven cancer treatments — vitamins and minerals, herbs and supplements, special diets, mind-body interventions and miscellaneous treatments — and treatment misconceptions. The myths and misconceptions were adapted from National Cancer Institute materials and included statements like “Will eating sugar make my cancer worse?” The team surveyed 110 UF Health patients diagnosed with prostate, breast, colorectal or lung cancer within the past six months, a time when patients typically make initial treatment decisions. Most had heard of a potential cancer treatment beyond the standard of care, and most reported they had heard of at least one myth or misconception. The most common sources were close friends or family and websites, distant friends/associates or relatives, social media and news media. The findings mark a shift in misinformation research, with major implications for the doctor-patient relationship, said Bylund, a member of the Cancer Control and Population Sciences research program at the UF Health Cancer Center. “I still think media and the internet are the source and why misinformation can spread so rapidly, but it might come to a cancer patient interpersonally, from family or friends,” she said. Most patients rarely discussed the potential cancer treatments they had heard about with an oncologist, the study also found. Next, the researchers plan to survey a wider pool of patients, then study the outcomes of interventions designed to decrease misinformation exposure, like the information prescription.

Apr 9, 2026

2 min

New AI tool matches students with high-impact internships

Finding the right internship can be an important step for students, but it’s not always clear which opportunities will lead to the strongest growth. To help solve that problem, University of Florida researchers have developed an AI-powered tool that helps students identify internships most likely to accelerate their technical and professional development. Unlike traditional recommendation engines, Pro-CaRE not only predicts which opportunities will lead to stronger outcomes, it also explains why each suggestion is a good fit. In testing data collected from the students, Pro-CaRE’s predictions proved highly accurate, accounting for more than 72% of the differences in learning gains among participants. While the pilot is being tested in engineering, the tool could be adopted for other disciplines. “Internships are one of the most critical parts of an engineering education, but students often struggle to know which experiences will actually help them grow,” said Jinnie Shin, assistant professor of research and evaluation methodology in the UF College of Education. “What makes Pro-CaRE unique is that it doesn’t just offer a list of options. It provides personalized recommendations backed by data and it tells students clearly why an opportunity is a good match for them.” Pro-CaRE creates matches by analyzing each student’s coursework, major, background and self-reported interest, confidence and self-efficacy in engineering skills. It then compares that profile with a carefully chosen set of similar peers to refine suggestions. The result is more precise guidance that adapts to students at different stages of their degree programs. “Students shouldn’t have to guess or hope that an internship will be worthwhile,” Shin said. “With Pro-CaRE, they can approach opportunities knowing they’re backed by evidence, whether the role is onsite, hybrid or remote and whether it’s at a startup or a Fortune 500 company.” The system is designed to work across a wide range of companies and contexts, giving students flexibility while ensuring their choices align with their personal and professional goals. Each recommendation comes with a clear “why this?” explanation, so students can make confident decisions and discuss options more effectively with advisors. Pro-CaRE was developed by a cross-disciplinary UF team combining expertise in education and engineering. Alongside Shin, the project’s co-principal investigators include Kent Crippen in the College of Education and Bruce Carroll in the Herbert Wertheim College of Engineering. The team is exploring external funding opportunities to expand the usage and test the efficacy on a larger scale. “Ultimately, our goal is to empower students to invest their time in experiences that will have the greatest impact,” Shin said. “Pro-CaRE bridges the gap between what students hope to gain and what internships can truly deliver.”

Apr 7, 2026

2 min

Using AI tools empowers and burdens users in online Q&A communities

Whether you’ve searched for cooking tips on Reddit, troubleshooted tech problems on community forums or asked questions on platforms like Quora, you’ve benefited from online help communities. These digital spaces rely on people across the world to contribute their knowledge for free, and have become an essential tool for solving problems and learning new skills. New research reveals that generative artificial intelligence tools like ChatGPT are creating a double-edge effect on users in these communities, simultaneously making them more helpful while potentially overwhelming them to the point of decreasing their responses. “On the positive side, AI helps users learn to write more organized and readable answers, leading to a noticeable increase in the number of responses,” explained Liangfei Qiu, Ph.D., study coauthor and PricewaterhouseCoopers Professor at the University of Florida Warrington College of Business. “However, when users rely too heavily on AI, the mental effort required to process and refine AI outputs can actually reduce participation. In other words, AI both empowers and burdens contributors: it enables more engagement and better readability, but too much reliance can slow people down.” The study examined Stack Overflow, one of the world’s largest question-and-answer coding platforms for computer programmers, to investigate the impact of generative AI on both the quality and quantity of user contributions. Qiu and his coauthor Guohou Shan of Northeastern University’s D’Amore-McKim School of Business measured the impact of AI on users’ number of answers generated per day, answer length and readability. Specifically, they found that users who used AI tools to generate their responses contributed almost 17% more answers per day compared to those who didn’t use AI. The answers generated with AI were both shorter by about 23% and easier to read. However, when people relied too heavily on AI tools, their participation decreased. Qiu and Shan noted that the additional cognitive burden associated with heavier AI usage negatively affected the impact on a user’s answer quality. For online help communities grappling with AI policies, this research provides valuable insight into how these policies can be updated in the current AI environment. While some communities, like Stack Overflow, have banned AI tools, this research suggests that a more nuanced approach could be a better solution. Instead of banning AI entirely, the researchers suggest striking a balance between allowing AI usage while promoting responsible and moderated use. This approach, they argue, would enable users to benefit from efficiency and learning opportunities, while not compromising quality content and user cognition. “For platform leaders, the takeaway is clear: AI can boost participation if thoughtfully integrated, but its cognitive demands must be managed to sustain long-term user contributions,” Qiu said.