Using AI to support Culturally Grounded Indigenous EducationProject Abstract:听Research has shown that culturally grounded education for Indigenous community members supports engagement, wellbeing, and learning. However, implementing culturally grounded education effectively, particularly in remote areas, has proven difficult due to the lack of culturally grounded materials and the time it takes to create quality curriculum. Over the past 6 years our team has been able to develop and implement culturally grounded curriculum in rural Indigenous areas of Peru. However, it is a challenge to do this work at scale. Artificial intelligence (AI) shows promise for addressing this issue. To demonstrate that AI can create culturally grounded learning materials and curriculum based in community epistemologies, our team will train offline AI software to use community-led, collaboratively gathered knowledge, such as local plants, animals, and cultural practices to foster literary, numeracy, and critical thinking skills based in communities鈥� ways of thinking and being. This work will engage in community-based practices and follow First Nations OCAP ethical principles. CORE RESEARCH TEAM
Principal Investigator: Professor Joseph LevitanAssociate professor in the Department of Integrated Studies in Education at McGill University 听 听 听 听 
听Professor Catherine PotvinProfessor at the Department of Biology at McGill University.听Trottier Fellow from the Trottier Institute for Science and Public Policy. Director, PFSS: Panama Field Study Semester. Canada Research Chair in Climate Change Mitigation and Tropical Forest (Tier 1) 听 听
听Professor Bryan LeungAssociate Professor at the Department of Biology at McGill University. UNESCO Chair for dialogues on sustainability. Director of the McGill STRI, Neotropical Environment Option. 听 听 听
听听PhD Student in Anthropology at McGill University. 听 听 听 听
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Department and University Information
Computational and Data Systems Initiative
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Montreal, Quebec H3A 0G5
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