How students actually use AI: what 574,740 conversations showed
Nearly half the time, to get an answer with little back and forth. A 2025 report by the AI company Anthropic looked at 574,740 conversations from university students using its chatbot, and classed about 47% as direct requests. It is a company report about one product used by adults at university. It is not peer reviewed, and it did not measure whether anyone learned.
The report in one table
| Title | Anthropic Education Report: How University Students Use Claude |
|---|---|
| Who | Anthropic, the company that makes the chatbot studied |
| Status | Company report, April 2025. Not peer reviewed |
| Data | About 1 million anonymised conversations from accounts with university email addresses, over 18 days. 574,740 were about academic work |
| Method | Conversations were sorted by the company's own automated analysis tool |
| Source | anthropic.com, Education Report |
What it found
- Four styles, evenly spread. The report sorted conversations into four styles of use. Each made up between 23% and 29% of the total.
- Nearly half were direct. About 47% of conversations were what the report calls Direct: the student was seeking an answer, with minimal engagement.
- The AI did the higher-level work. The report also classed what the chatbot was doing in its replies.
| Kind of thinking in the AI's reply | Share of conversations |
|---|---|
| Creating | 39.8% |
| Evaluating | 5.5% |
| Analysing | 30.2% |
| Applying | 10.9% |
| Understanding | 10.0% |
| Remembering | 1.8% |
These six figures come from the report's chart. They add up to 98.2%. The categories come from Bloom's taxonomy, a scale teachers use to rank thinking skills, and creating and analysing are among its higher levels. Together they were 70% of what the AI did in its replies. The report itself warns that students may be handing over the higher-order thinking.
Why a company would publish this
A company that reports close to half the student use of its product as answer-getting is not flattering itself. That counts for something. It is still the company describing its own product, with its own tool and its own categories. Nobody outside has checked the sorting.
What it did not show
- Not whether students learned. The report counts kinds of conversation. It has no test scores and no grades. Anthropic says so.
- Not cheating. A direct request can be a student checking a fact they already understand. The report cannot tell that apart from a student copying an answer.
- Not all students. These were early users of one chatbot, at universities, over 18 days. Some accounts will have been staff. School pupils are not in the data.
- Not exact figures. An automated tool did the sorting, and Anthropic notes that it makes classification errors.
We found no newer report on student use from the same company. It did publish a report on how teachers use the chatbot, in August 2025, based on about 74,000 conversations.
What surveys of younger students say
For teenagers, the best figures come from surveys, which ask people what they do. In a Pew Research Center survey of 1,458 US teens aged 13 to 17, published in February 2026, 54% said they had used chatbots for help with schoolwork. 10% said they do all or most of their schoolwork with chatbots, 21% some and 23% a little. 59% said classmates use AI to cheat at least somewhat often.
A survey shows what people say, not what they do. But the two sources agree on the broad picture: use for study is common, and a good share of it is answer-getting.
A fair one-line summary. "A 2025 company report found that nearly half of university students' conversations with one chatbot were direct requests for answers. It did not measure learning."
Why the direct style matters
The usage report cannot say that direct use hurts learning. Experiments can test that, and several have. In a field trial with about 1,000 students, AI that gave answers went with exam scores 17% lower, and AI that gave hints largely avoided it. In three experiments with 1,222 adults, people who asked for direct answers gave up more afterwards.
So the report tells you how common the direct style is. The experiments tell you why that is worth changing.
What to do with this
Look at your own last ten chats. Count how many started with "write", "solve" or "give me" before you had tried anything. Then switch the order: your attempt first, the AI second.
Questions
What do students use AI for most?
In this report, the largest shares of the AI's work were creating (39.8%) and analysing (30.2%). About 47% of conversations were direct requests for an answer.
Does the report prove students use AI to cheat?
No. It sorted conversations by style. It cannot see what a student did with the answer or whether the use was allowed.
Is the report peer reviewed?
No. It is a company report about the company's own product, published in April 2025.
Does it cover school pupils?
No. The data came from university accounts. For teenagers, survey data such as the Pew Research Center figures above is the better guide.