RGAI-FCT: Responsible Generative AI for Accelerated Competency-Based Teacher Training in Fragile Contexts (RGAI-FCT)

RGAI-FCT aims to enhance the teaching capabilities of refugee teachers in Uganda by
leveraging generative AI tools like Gemini. By developing an Accelerated Competency-Based Teacher Training program, we will equip teachers with the skills to utilize generative AI for curriculum delivery and prompt engineering. 
 
The initiative targets 4 cohorts of teachers across 20 refugee settlements, 34 schools, and 3 regions in Uganda, aiming to train teachers to improve educational outcomes for secondary-level learners aged 16 to 45 years. Employing an action-based mixed method, the project will involve hands-on workshops, a train-the-trainer methodology, and community participation in co-designing curricular outputs. This approach integrates community and indigenous knowledge-based practices to ensure cultural sensitivity and inclusivity of generative AI usage in refugee educational settings. 
 
This initiative aligns with global educational objectives, Uganda's Vision 2040, and Africa's Agenda 2063, and aims to create a sustainable model for integrating generative AI in refugee education.
 
The project is funded by the CODE Teaching and Learning in Fragile Contexts (TLFC) scheme and the Google Academic Research Award Program.
Research areas
Digital Education in the Global South
Research team
Michael Gallagher (PI)
Ggaliwango Marvin (PI), Makerere University
Pete Evans (Co-I)
Rovincer Najjuma (Co-I)
Joseph Tibakanya, National Curriculum Development Centre (NCDC)
Nakayiza Hellen Raudha, Muni University
Tina Postalian, UCL's Centre for Languages and International Education (CLIE)
Stuart Nicol, University of Edinburgh
Key contact
Dr Michael Gallagher
Funding
CODE Teaching and Learning in Fragile Contexts (TLFC): 20,000 CAD
Google Academic Research Award Program: $100,000 (US)
Dates
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