AI agents for education: 11 real examples
Agentic Feats lists 11 sourced examples of AI agents in education work; 6 link the artifact; most common agent: Claude Code (3). Newest first.
- Feats
- 11
- Shown
- 655%
- Agents
- 6
- Updated
- Oct 13
Agents used here6
Industries here3
Ethan Mollick received a finished Gatsby lesson plan spreadsheet for high schoolers with no obvious errors, after delegating and walking away.
Gatsby lesson plan spreadsheet
Claude with Computer Use downloaded The Great Gatsby, researched lesson plans and standards, and filled a spreadsheet on its own.
Operator returned the requested list of courses, fees and descriptions without further input, saving the author a few minutes of manual admin work.
Compiling a course list
OpenAI's Operator browsed the author's online course site and compiled a list of courses with fees and descriptions while they got coffee.
The draft was usable but weaker than accepted NSF summaries; thinking mode helped, though it began hallucinating and misreading the sources.
NSF project summary drafting
The author used Cursor in Agent mode with Claude 3.7 Sonnet and two rules files to draft an NSF Project Summary from two papers.
Operator collected data for about 25 of 100 schools before the author stopped it; o1 then built a working chart dashboard from that data.
School financials from ProPublica
Operator searched ProPublica Nonprofit Explorer for independent schools and logged their financial data into a Google Sheet; o1 then built a dashboard.
From one short prompt, Manus produced a publishable-style report with charts from 1,000 synthetic responses. The data is made up.
Synthetic AGI attitudes survey study
Manus planned a survey study on student attitudes to AGI, wrote a Google Apps Script for the form, simulated 1,000 students, and analyzed the data.
A roughly 3,000-line open-source Canvas tool built in four months. It cut a 45-minute weekly student check to a 2-minute conversation with Claude.
Canvas LMS tool via MCP
Claude Code co-developed a Canvas LMS MCP server with an educator who is not a developer, covering courses, grading, analytics, and student data anonymization.
Three prompts produced a live interactive course website with modules, quizzes, and videos; the author also reports a 318-page ebook from further prompts.
Interactive course website from prompts
Manus AI built a full AI-business course from one prompt, deployed it as a live website, then added quizzes, games, and embedded videos.
The Agent worked for 14 minutes on the UNESCO task; the author tested it against o3-pro and ran four other work-style tasks.
UNESCO education data spreadsheet
ChatGPT Agent pulled UNESCO student-teacher ratio and teaching staff data and built a multi-tab spreadsheet in a single 14-minute run.
It produced a review-ready draft with citations and a gaps synthesis in under ten minutes, versus half a day by hand.
Annotated bibliography on big data
ChatGPT Agent searched academic databases, filtered peer-reviewed open-access papers, and compiled an annotated bibliography on big data in education and healthcare decision-making.
Roughly two dozen decks were rebuilt into Quarto reveal.js with speaker notes and refresh checklists, and the approach was reused for two more courses.
Course modernization with agent fleets
Claude Code turned course evaluations into tracked GitHub issues, then ran agents to rebuild assignments, exams and about two dozen slide decks.
The author reports faster literature search, Zotero notes written automatically, and accurate answers about the ATS hydrology codebase through a custom ats-mcp server.
Research workflow with Claude Code
Claude Code with MCP servers handles literature search, Zotero notes, Gmail alert newsletters, and codebase questions for a hydrology researcher.
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Proof marks:Shown artifact linked·Numbers a specific number stated·Claim claim only