AI is now part of how college students study and how many professors teach. In a 2025 survey of U.S. college students by Inside Higher Ed and Generation Lab, 85 percent had used generative AI for coursework in the past year. Tyton Partners found that 42 percent of students and 30 percent of instructors use it every week. In the United Kingdom, the share of undergraduates using any AI tool rose from 66 percent to 92 percent in a single year.
This article looks at how AI is changing the college lecture and the work around it, what the research says, and what students and faculty should keep in mind.
How college students use AI
Students use AI most for help with thinking and studying, less often to do the work for them. In the Inside Higher Ed survey, students who used it reported:
- brainstorming ideas (55 percent);
- asking it questions as they would a tutor (50 percent);
- studying for exams or quizzes (46 percent);
- having it complete assignments (25 percent);
- having it write full essays (19 percent).
AI note-taking and lecture transcripts
AI tools can now transcribe lectures, summarize them and turn notes into searchable study guides. Whether that helps students learn is less clear. The often-cited 2014 study finding that students who typed notes did worse on conceptual questions than students who wrote by hand has not held up: a direct replication in 2021 found that longhand note-taking did not improve learning. No study has yet measured whether AI transcripts and summaries improve what students learn from lectures, so they are best treated as a study aid, not a replacement for paying attention and taking notes.
Captions and accessibility
Captions are one of the best-supported uses. A review of more than 100 studies found that captioning video improves comprehension, attention and memory, especially for students learning in a second language and for students who are deaf or hard of hearing. A 2026 randomized study of lecture recordings found that students learned just as well from automatic captions as from corrected ones, and its authors recommend using automatic captions routinely.
Public colleges also face a legal deadline. A Justice Department rule under Title II of the Americans with Disabilities Act requires state and local governments, including community colleges and public universities, to make web content and mobile apps meet the WCAG 2.1 AA accessibility standard. In April 2026 the department extended the compliance dates to April 26, 2027, for entities serving 50,000 people or more, and to April 26, 2028, for smaller ones.
AI tutors and teaching assistants
Some universities now build AI assistants into courses. Georgia Tech’s Jill Watson, a virtual teaching assistant, now runs on ChatGPT to answer students’ questions about a course, its developers reported in 2024. Other universities provide AI tools to everyone: in 2025 the California State University system announced it would give more than 460,000 students and 63,000 faculty and staff access to ChatGPT Edu across its 23 campuses.
What faculty think
Faculty expect AI to be part of their teaching but many feel unprepared. In a 2025 Digital Education Council survey of 1,681 faculty in 28 countries, 86 percent said they expect to use AI in teaching, 40 percent said they were just beginning to learn about it, and only 4 percent were fully aware of their institution’s AI guidelines and considered them comprehensive.
Guidance for students and faculty
- Know the course rules. AI policies vary by course and by professor. Students should check each syllabus, and faculty should state clearly what is allowed.
- Use AI to study, not to skip the work. Asking AI to explain a concept or quiz you is different from having it write an assignment.
- Check AI answers. AI tools can be wrong, including about sources and citations.
- Use captions and transcripts for access. They help many students, not only those with disabilities.
- Protect privacy. Recording or transcribing a class can capture other students’ voices, so follow the institution’s rules.
The lecture itself is not going away. What is changing is the support around it, and the evidence so far favors AI uses that make lectures more accessible and give students more ways to practice.
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