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AI in education examples for schools and colleges

Six concrete ways schools and colleges use AI, from lesson planning to admissions. Each shows what the AI does and what staff still decide.

Updated 5 min read

The short answer

AI in education examples cluster around paperwork and drafting: planning lessons, drafting feedback, checking admissions documents, sending enrollment reminders, answering student questions and building reports. Staff review the output and keep the final say on grades and decisions.

Key points

  • Drafting and document checks save the most time
  • Teachers and staff approve what students see
  • Student data needs a privacy check first

Examples

AI use cases in education by task

Figures come from published surveys. Nexum has no client case in this sector, so none is shown.

  • Teaching

    Lesson planning and course materials

    AI drafts lesson outlines, quizzes and reading lists from a topic and grade level. The teacher edits and approves the final version.

    69%of teachers using AI build curriculum content

    Read the case →

  • Teaching

    Feedback drafts on student work

    AI suggests comments on essays and assignments against a rubric. The teacher reads each one and sets the grade.

    45%of teachers using AI use grading tools

  • Admissions

    Admissions document checks

    AI reads transcripts and application forms, flags missing items and sorts files for the admissions team to review.

    Read the case →

  • Student services

    Enrollment and deadline reminders

    Automated messages remind applicants and students about forms, payments and dates by email or text.

    Read the case →

  • Student services

    Answers to student questions

    An assistant answers routine questions about schedules, fees and forms, and passes complex cases to a staff member with the history attached.

    Read the case →

  • Administration

    Reporting for leaders

    AI pulls attendance, enrollment and results into a recurring report, so administrators spend time on decisions instead of spreadsheets.

    Read the case →

How widely schools use AI

  • Teachers

    Most have tried an AI tool

  • Students

    Use is nearly universal

  • Weekly users

    Only a third use it each week

AI use cases in education are already common.

The Center for Democracy and Technology found that 85 percent of teachers and 86 percent of students used AI during the 2024-25 school year, as reported by Education Week.

Gallup and the Walton Family Foundation put teacher use at 60 percent for the same year, with high school and early-career teachers using it most.

Frequency varies. Their survey found only 32 percent of teachers use it weekly, while 40 percent do not use it at all.

Generative AI in education examples

  1. 01

    Teacher sets the goal

    Topic, grade and rubric go in

  2. 02

    AI drafts

    Outline, questions or comments

  3. 03

    Teacher reviews

    Edits, corrects, approves

  4. 04

    Students receive it

    Only the approved version

Generative AI in education examples are mostly drafting tasks: a lesson outline, a set of practice questions, a first pass at feedback.

RAND reported that over 80 percent of students said teachers had not explicitly taught them how to use AI for schoolwork. That gap matters when students use the same tools to write.

The pattern is simple: the AI produces a draft, a person checks it, and only then does it reach students.

Time saved for teachers

Without AI

  • Plans built from scratch
  • Every comment typed by hand
  • Reports compiled manually

With AI drafts

  • Starting outlines ready
  • Comment drafts to edit
  • Reports assembled for review

Weekly AI users among teachers save 5.9 hours a week on average, according to Gallup and the Walton Family Foundation. Our guide to AI for education covers the office side.

That is roughly six extra weeks across a school year, time that can go back to students or planning.

Savings come from drafting and admin work, not from handing over judgment about a student.

Privacy and policy before you start

Safe to do

  • Draft plans from public curriculum
  • Remind students of dates
  • Answer common policy questions

Check first

  • Pasting student records into tools
  • Letting AI set final grades
  • Sharing data without a review

Student records carry legal duties. The US Department of Education explains that FERPA applies to institutions receiving funds under its programs, so any AI tool touching student records needs a privacy review.

Policy lags use. Only 19 percent of teachers say their school has an AI policy, according to the Walton Family Foundation survey.

Write down which data may enter a tool, who approves outputs, and how students may use AI. AI in education covers the wider picture.

  • List what student data may be shared
  • Name who approves AI output
  • Set rules for student use

Where to start

Start with whichever task costs your staff the most time, such as admissions file checks or repeat enrollment questions.

Compare with AI in government examples, where public bodies face similar records and rules.

Our data

What AI answers when buyers ask

We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for schools and universities. They named 110 companies, and 76% appeared in only one of the three.

CriterionChatGPTGeminiPerplexity
Companies named485246
Sites cited mostedu.google.com (5 of 10)deloitte.com and flintk12.com (2 of 10)xcelacore.com (5 of 10)

Nexum measurement, October 22, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 10 companies appeared in all three. Google showed an AI Overview for 10 of the 10 questions.

FAQ

Questions about AI in education

  • Common ones are drafting lesson plans, suggesting feedback on assignments, checking admissions documents, sending enrollment reminders, answering student questions and building reports for administrators.

  • AI takes over repetitive drafting and document work. Teachers get time back, students get faster answers, and administrators get reports without manual compiling.

  • Use it for drafts that a teacher reviews, such as practice questions or comment suggestions. Teach students how to use it too, since many say no one showed them.

  • Set clear written rules on when students may use AI, explain them, and design assignments that show a student's own reasoning. Policy matters because few schools have one yet.

  • Yes. Surveys put teacher use between roughly 44 and 85 percent depending on the question asked, so figures differ by who ran the survey and how it defined use.

  • Only if you check. Review each tool against FERPA duties, limit what data goes in, and keep a person responsible for approving outputs.

Related

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