Immigrant Students’ Perceptions of Generative AI for Supportive Mathematics Learning: Opportunities and Tensions
This qualitative case study explores how ten immigrant secondary students in the U.S. perceive generative AI as a supportive, nonjudgmental learning partner that enhances mathematical understanding and confidence, while also highlighting their concerns regarding accuracy, equitable access, and the need for critical evaluation.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the modern classroom, a new kind of helper has arrived, one that does not sit at a desk or wear a uniform. It is a form of artificial intelligence capable of generating text, solving problems, and explaining complex ideas in a conversational style. For students learning mathematics, a subject that often demands precise logic and step-by-step reasoning, this technology offers the promise of instant, personalized guidance. Unlike a textbook that offers a single static explanation, these tools can adapt to a student's specific confusion, rephrasing an answer until it clicks. However, the rapid rise of this technology has sparked a debate among educators. Some worry that students will become too dependent on these tools, bypassing the hard work of thinking for themselves, while others see a chance to democratize access to high-quality tutoring. The question is no longer just whether students are using these tools, but how they are using them and what that means for their learning, especially for those navigating the added challenges of a new country and a new language.
A recent study set out to listen to a group of students who are often left out of this conversation: immigrant teenagers in the United States. Researchers from the University of Missouri focused on ten secondary school students, aged thirteen to eighteen, who had either moved to the country themselves or were part of immigrant families. These students were recruited from a local church in a Midwestern community, a setting chosen because it provided a safe, familiar space for them to share their honest experiences. The researcher, who is also an immigrant and a former mathematics teacher, conducted a series of discussions and interviews to understand how these young people viewed the role of artificial intelligence in their math classes. The goal was not to count how many times they used the technology, but to understand the feelings, strategies, and concerns that shaped their relationship with it.
The students in the study described the technology as a valuable partner rather than a shortcut. They did not view it as a machine that simply handed them answers to copy. Instead, they saw it as a tool they could turn to when they were stuck on homework late at night or needed a concept explained in a different way. One student noted that if they did not understand something while doing homework, they could ask the tool for help instead of waiting until the next day to ask a teacher. The students appreciated that the tool could break down difficult problems into smaller steps or offer alternative ways to solve a problem, acting like a patient tutor who never got tired of repeating an explanation. This personalized support was particularly important for students who were still learning the English language, as the tool could clarify confusing words or simplify complex instructions without the fear of judgment.
Despite their enthusiasm, the students were not unaware of the technology's limitations. They were acutely aware that the tool could make mistakes. They described a habit of double-checking the information the tool provided against their textbooks or class notes, treating the output as a draft to be verified rather than a final truth. They expressed a clear understanding that simply copying an answer did not mean they were learning the material. The students spoke about the need to maintain their own critical thinking, emphasizing that the tool was most useful when it helped them understand the "why" behind a solution, not just the solution itself. They viewed their use of the technology as a balanced act, using it to support their own efforts rather than replace them.
The study also revealed how social factors influenced the students' use of these tools. Many of the students first learned about the technology from their friends or social media, rather than from formal instruction in school. While some teachers encouraged responsible use, others were uncertain or restrictive, leaving the students to navigate the rules on their own. The students found that the technology offered a unique kind of comfort. For many, asking a question in a classroom could feel intimidating, especially if they worried about their accent, their language skills, or appearing less capable than their peers. The artificial intelligence provided a private, non-judgmental space where they could ask questions freely, which boosted their confidence and willingness to engage with the subject matter.
However, the researchers noted a potential tension in this shift. While the tool provided a safe harbor for learning, the students' preference for asking the machine instead of a human teacher raised questions about the social side of education. Mathematics learning often involves talking through ideas with peers and teachers, building relationships, and learning to communicate complex thoughts. If students rely too heavily on the tool for support, they might miss out on these human interactions that are also vital for learning. The students themselves seemed to sense this, describing the tool as a supplement to their learning journey, not a replacement for the human connections that help them grow.
Ultimately, the study suggests that immigrant students are not passive users of technology but active, thoughtful participants who are figuring out how to use these powerful tools to their advantage. They see the value in having a resource that is always available, always patient, and capable of speaking their language, both literally and figuratively. At the same time, they recognize the risks of overreliance and the importance of keeping their own minds engaged. The findings indicate that for these students, the technology is more than just a digital gadget; it is a bridge that helps them cross the gaps in language and confidence that often stand in the way of mathematical success. As schools continue to integrate these tools, the voices of these students offer a crucial reminder that technology works best when it supports the human desire to learn, rather than replacing the effort it takes to get there.
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