AI Pedagogy Project

An open resource helping educators engage critically and creatively with AI in the classroom

Overview

The AI Pedagogy Project launched in 2023 as a response to the proliferation of AI tools within education. Our goal was to equip educators from non-technical backgrounds with the knowledge and resources to both understand how generative AI works and how to teach their students about its capabilities, limitations, and risks. The website offers a curated collection of assignments related to AI, as well as a guide that introduces educators to basic concepts through interactive experiences.

The project was incubated at metaLAB (at) Harvard within the Berkman Klein Center for Internet & Society at Harvard University from 2023–2025. It is recommended by leading educational institutions, including Yale University, NTU Singapore, the University of British Columbia, the University of Virginia, and others.

Details

  • My role: Lead Engineer & Researcher
  • Timeline: June 2023 – Present
  • Tools: WordPress, OpenAI API, Anthropic API, PHP, JavaScript

Assignment Repository

A curated repository of classroom-ready assignments from educators around the world. Some directly incorporate AI tools, while others help students consider responsible AI use.

LLM Tutorial

An introductory tutorial teaching educators how LLMs work, while providing them with a playground for experimentation.

LLM Comparison

A tool that helps users compare the outputs of OpenAI’s ChatGPT and Anthropic’s Claude.

LLM Configurator

A configuration tool that allows users to experience how a system prompt, temperature, and token limits impact LLM outputs.

Redesign

In 2025, I led a redesign of the project’s website. I collaborated with a UX researcher and instructional designer to develop a Figma prototype, which I then implemented through a new custom WordPress theme.

Before

After

Outcomes

200,000+

Users since Nov 2023

167

Countries with active users

36

Curated assignments