Learning By Doing

Learning by Doing is a core component of the AI-for-Education.org initiative. We give small grants to support organisations to pilot AI ideas in Foundational Learning and Numeracy in low- and middle-income countries (LMICs).
By giving grants, we have three aims:

  1. Enable development in priority areas that we think can improve foundational literacy and numeracy in LMICs.
  2. Support organisations by building their capacity.
  3. Learn and share what works, including open-source tools.

We want to learn about what works to help define what is needed for the sector in the long term.

We will check in periodically with the subgrantees and report key learnings as they go along. In addition to this, codes developed with the grant funding will be made open source.

Stellenbosch University & Trackosaurus

Assessment Tools & Processes • Audio: ASR, Audio: Classification

The team from Stellenbosch University and Trackosaurus will be developing AI models to enable spoken interaction in maths and language assessment games in South Africa.

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EducAid & Fab Data

Teacher Learning, Continuous Professional Development • Large Language Models, NLP: Generation, NLP: Question

EducAid and Fab Data are assessing level of support needed by teachers to use AI chatbots (TheTeacher.AI in Sierra Leone) successfully.

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Beekee

Large Language Models

Beekee is exploring how to take Large Language Models offline, a component that is crucial in making AI work in low-resource context.

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Taleemabad

Quality Teaching / Learning Materials • Large Multi-Modal Models, NLP: Generation, MM: Image2Text, MM: Text2Image

Taleemabad is exploring using AI to arrange images and text optimally for education.

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AI-for-Education.org was set up by Fab Inc. in partnership with Team4Tech. We are grateful to the Bill & Melinda Gates Foundation and the Jacobs Foundation for their support.

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