How is AI used in literacy and education programs in developing countries

Adapting to Individual Students and Extending Limited Resources

AI is used in literacy and education programs in developing countries primarily through adaptive learning tools that adjust to an individual student’s specific skill level, translation and localization tools that expand access to educational content in local languages, and tools that help extend educational reach in areas with limited numbers of trained teachers.

How Adaptive Learning Tools Work

AI-based adaptive learning tools can assess an individual student’s current skill level and adjust the difficulty and pacing of educational content accordingly, providing more individualized instruction than a single teacher managing a large classroom with students at many different skill levels could typically provide through traditional, one-size-fits-all instruction alone.

How Translation and Localization Tools Expand Access

AI-based translation and localization tools help make educational content originally developed in one language available in a wider range of local languages, expanding access to quality educational materials for students whose primary language might not otherwise be well-served by available curriculum content, which has traditionally often been developed primarily in a limited number of major world languages.

How These Tools Help Extend Limited Teacher Availability

In areas with a limited number of trained, available teachers relative to the student population needing instruction, AI-based educational tools can help extend the reach of available instructional capacity, providing additional individualized practice and support that helps supplement what limited teacher availability alone could provide.

Why Practical Infrastructure Barriers Remain a Genuine Limitation

Despite this genuine potential, effectiveness depends heavily on addressing practical barriers that remain significant limitations in many developing country settings — reliable access to devices capable of running these tools, consistent electricity, and adequate internet connectivity are all prerequisites that aren’t uniformly available, meaning the real-world reach and impact of these tools depends significantly on how well these infrastructure challenges are addressed alongside the educational technology itself.

Why Some Tools Are Specifically Designed for These Constraints

Recognizing these genuine infrastructure limitations, some tools are specifically designed to function with limited or intermittent internet connectivity, or to operate largely offline with periodic data syncing when connectivity becomes available, reflecting deliberate design choices aimed at making these tools genuinely usable in the specific resource-constrained contexts where they’re most needed.

Why These Tools Generally Extend Rather Than Replace Teachers

These AI-based educational tools are generally designed to extend and support limited teacher availability and provide additional individualized practice opportunities, rather than being viewed as a full substitute for trained teachers, whose broader pedagogical judgment, mentorship, and classroom support remain genuinely valuable and difficult to fully replicate through technology alone.

Bottom Line

AI supports literacy and education programs in developing countries through adaptive learning tools that adjust to individual student skill levels, translation and localization tools expanding access to content in local languages, and tools that help extend limited teacher availability — with real-world effectiveness depending heavily on addressing practical infrastructure barriers like device access, electricity, and connectivity that remain significant limitations in many of these settings.

Go deeper

• What Languages Does AI Translation Perform Worst On?
• What Happens to Students Without Reliable Internet When Schools Adopt AI Tools?
• Can Adaptive AI Testing Give a More Accurate Picture of What a Student Knows?