If we look at the challenges of education in LMICs, one theme is clear: teachers are at the heart of classroom quality, yet they often lack the support they need.
Before we jump into the tools themselves, we discussed how to think about equity. Every tool should be assessed through the lens of whether it truly works in local contexts, with local resources, and for local needs.
If you have gone through the section on AI Education Equity in LMICs, you should now have a more cautious but also more optimistic perspective on how to engage with AI. You can also see how others in the LMIC community are experimenting with creative solutions of their own.
In this section, we will see AI tools designed to support teachers and students, who are the central actors in ensuring quality education.
There are three areas you can explore:
AI tools for LMICs Examples – examples of AI applications designed to support teachers and students in classrooms and communities across LMICs.
AI literacy Resources– resources that help educators and learners build the knowledge and skills to use AI responsibly and effectively.
Offline hubs Solutions– apps and hardware solutions that are not always AI specific, but are essential for learning in environments with limited connectivity, such as offline first platforms and local servers.
Discover practical AI applications that are already being used to support teachers and students in LMICs.
Learn how educators and learners can build the skills and understanding needed to use AI confidently and responsibly.
Explore apps and hardware designed to work in places with limited connectivity, providing reliable access to digital learning.