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AI chatbots can offer students quick explanations, feedback, and study support, but it has not been established that using them improves learning over time. The evidence also raises serious questions about accuracy, academic integrity, privacy, overreliance, and the role of human relationships in education. Here, “AI companion” refers to conversational chatbots and tutoring-style systems—not proof that a persistent, lifelong learning companion is available or effective.
What can an AI companion help a student learn?
A chatbot may help a student get an explanation, feedback, or another way into a topic when working through school material. Students have also described educational chatbots as useful for study support, instruction, access to information, productivity, and creativity. These are reported perceptions of potential usefulness; they do not show that students learned more or retained material longer.
A 2025 preprint by Griffin Pitts, Viktoria Marcus, and Sanaz Motamedi analyzed responses from 262 undergraduates at a large U.S. public university. The researchers coded 745 distinct statements about educational AI chatbots. Feedback and study support accounted for 92 statements (23%); instruction accounted for 89 (22.25%). Those counts describe this study’s responses and coding, not the share of students generally who hold those views.
What uses are being discussed in schools?
U.S. Department of Education guidance issued July 22, 2025, describes several possible applications. It is federal guidance about potential uses and priorities, not an endorsement of a particular product or evidence that a system works.
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| Possible application | What it could involve | What the guidance establishes |
|---|---|---|
| AI-based instructional materials | AI used in or to support learning materials. | A potential education application; the guidance does not establish learning outcomes for a specific system. |
| AI-enhanced high-impact tutoring | AI incorporated into tutoring support. | A possible use; no named system or effectiveness finding is established by the guidance. |
| College and career pathway exploration | AI used to support exploration of education or career pathways. | A potential application, not proof that a particular tool gives accurate or suitable recommendations. |
The same guidance highlights privacy, engagement with parents and teachers, AI literacy, educator professional development, and differentiated instruction as issues to address.
Can an AI tutor replace a teacher?
The sources here do not establish that a chatbot can replace a teacher. Conversational systems may contribute explanations or practice, but schooling also involves human judgment, relationships, and attention to a learner’s wider needs. UNESCO’s education policy work emphasizes human-centred use, inclusion, equity, and AI competency for both students and teachers.
Rank #2
UNESCO’s 2021 policy guidance discussed an AI-driven lifelong learning companion as a possible form of continuous personalized support. That is a policy concept, not a validation of a particular product. The publication noted a lack of commercial AI-enabled lifelong-learning products and research at the time; that historical observation does not establish what is available today.
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What risks should students and educators weigh?
Incorrect or misleading answers
A fluent response is not, by itself, evidence that the answer is correct. Students may need to check claims against course materials or reliable sources, especially when an answer affects an assignment or decision. Accuracy was among the concerns students raised in the 2025 study.
Rank #3
Academic integrity and skill development
Students in the study raised academic-integrity concerns and worries that overreliance could weaken critical thinking or writing skills. These are concerns, not demonstrated effects: the study gathered student perspectives rather than testing whether chatbot use caused skill loss or improved performance. Whether a use is permitted also depends on the student’s course and school rules.
Privacy, consent, and data handling
UNESCO’s 2021 policy guidance identifies privacy, consent, and data ownership as important issues. Before students enter information into a chatbot, schools and families should understand what information the system collects and how it is handled. The sources do not establish the data practices of any particular product.
Bias, access, and inclusion
Students raised concerns about bias, while UNESCO emphasizes inclusion and equity and identifies digital divides and algorithmic bias as policy issues. A tool’s usefulness may depend on whether learners can access and use it appropriately; availability alone does not ensure that it serves different students fairly.
Overreliance and human connection
Students also raised concerns about overreliance and preserving human elements in education. The evidence does not establish that chatbots have caused a loss of human connection. It does make clear that student and educator perspectives on that risk deserve consideration when a school decides how to use conversational AI.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What does the evidence not tell us?
The 2025 preprint is a snapshot of responses from undergraduates at one large U.S. public university. Its authors note limits in institution type, academic level, and geography, and say that long-term effects on performance, skill development, and retention require additional research. It cannot establish how students of different ages or in other regions view AI, or whether using a chatbot causes better or worse learning outcomes.
UNESCO’s AI-in-education policy page describes both possible benefits and risks, and argues that risks have outpaced policy debates and regulatory frameworks. Together, the sources support careful consideration and human-centred oversight—not a blanket claim that AI companions are either a proven educational breakthrough or proven cause of harm.
What should parents and schools check before students use an AI chatbot?
The following questions turn the documented concerns and policy priorities into a practical review. They are decision prompts, not a validated scoring system or an endorsement of any product.
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- Purpose: What specific instructional task is the system meant to support?
- Learning evidence: What evidence shows that it helps learners with that task, and does that evidence apply to this age group and setting?
- Accuracy and transparency: Can students check its answers, and are the system’s limits made clear?
- Privacy: What student information is collected, how is it used, and what consent or data-ownership questions need to be resolved?
- Age suitability and inclusion: Is the tool appropriate for the learners who will use it, and can students access it equitably?
- Human oversight: Who can review the system’s role and address errors or concerns?
- School policy: Do students and educators know which uses are permitted for lessons and assignments?
- People and preparation: Have teachers, students, and parents been engaged, and do educators have support for AI literacy and professional development?
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