About
Ismaila Sanusi is a Postdoctoral Researcher at the University of Eastern Finland's School of Computing, Faculty of Science, Forestry and Technology. His research focuses on democratizing artificial intelligence (AI) and machine learning (ML) education, particularly in K-12 settings across Africa and globally. He explores how to integrate AI into school curricula, teacher preparedness, and ethical considerations in AI literacy.
Sanusi leads projects like AI MyData and ChemAIstry, developing tools to teach ML concepts to young learners. His work emphasizes culturally contextualized approaches, such as adapting AI education for Ethiopian and Kenyan schools. He collaborates with institutions like the University of Jyväskylä and Luleå University of Technology, addressing challenges in computing education research equity and quality.
Key areas include teacher training, generative AI tools in education, and frameworks for assessing AI competency. His research spans systematic reviews, tool development, and empirical studies on student and teacher perceptions. He is affiliated with the Technologies for Learning and Development research group and contributes to global initiatives like ITiCSE and ACM conferences.
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