When we hear about AI it is easy to jump in and want to use the technology right away to solve every problem. And yes, AI is a powerful tool, but at the end of the day it is just that, a tool. Like all tools, it has its place, it has limits, and it can even be built in ways that make it work better for some people than others.
This is especially important when we talk about education. The quality of education in low and middle income countries is shaped by many things: poverty, child labor, early marriage, financial limitations, and much more. We are not going to be able to cover all of those issues here. What we want to focus on is this big question:
How can AI actually help teachers and students improve the quality of education inside the classroom?
By looking at the real challenges first, we can see AI not as a quick fix but as one tool that can play a supporting role. The goal here is not just to answer that question, but also to underline how important it is to empower teachers and to be mindful about how AI systems are built. We also need to remember that there are other options and approaches that matter for equity when it comes to the tools teachers use to support learning.
This page is organized into three sections:
The Learning Crisis in LMICs : We look at the challenges behind the learning crisis, and why teachers are at the center of it.
AI Education Equity in LMICs : A brief look at how AI can expand opportunities in education, but also how it risks reinforcing existing inequities if applied without care.
AI Resources to Support Equity in Education : Examples of how AI is already being applied to support teachers, improve student learning, and address infrastructure challenges.
Whether you are an educator, policymaker, or student, this page will help you understand the context of education in LMICs and explore how AI tools could create opportunities or cause harm. You can read the sections in order for a full picture, or jump directly to the part that is most relevant to you.
We look at the challenges behind the learning crisis, and why teachers are at the center of it.
A brief look at how AI can expand opportunities in education, but also how it risks reinforcing existing inequities if applied without care.
Examples of how AI is already being applied to support teachers, improve student learning, and address infrastructure challenges.