AI in Education – From Foundations to Innovations (CMU-Africa)

In the rapidly evolving world of EdTech, Generative AI created both excitement and uncertainty. Fellows in the CMU-Africa program were eager to experiment but lacked a structured foundation to understand the concepts, apply tools responsibly, and reflect on ethical implications.

The Challenge

Fellows in the EdTech program were excited about Generative AI but struggled with practical application and ethical understanding. They needed a clear, accessible introduction.

The Process

  • Designed a 3-part micro-course on OLI Torus.
  • Developed video lectures, simulations, and reflection activities.
  • Storyboarded lessons to progressively build complexity.
  • Integrated discussion prompts to connect theory with personal projects.

The Solution

A structured course blending multimedia explanations, hands-on activities, and reflective learning on AI concepts, applications, and ethics.

The peak iOS mockup
Jupiter Tasks
Peach App

The Impact

The course quickly gained traction:

  • Fellows reported higher confidence in using AI tools.
  • Adopted by multiple EdTech hubs in Africa.
  • Positive learner feedback citing accessibility and relevance.

Reflection
This project confirmed the importance of combining cutting-edge research with design simplicity. By grounding advanced AI topics in clear, learner-centered design, the program ensured accessibility for a diverse group of educators and innovators.