Ibrahim Oluwajoba Adisa

Ibrahim Oluwajoba Adisa is a Human-Centered AI Postdoctoral Fellow at Stanford University's Graduate School of Education, collaborating with Dr. Victor Lee. His work focuses on AI literacy, data science education, and collaborative learning in K-12 settings.

• Ph.D. in Learning Sciences, Clemson University (2024)
• M.Ed. in Educational Technology, University of Ibadan (2018)
• B.Tech. in Physics Education, Federal University of Technology Minna (2015)

His research merges learning sciences, computing education, and data science to develop tools and curricula that enhance creativity, computational thinking, and collaborative problem-solving through co-designed AI literacy resources. He employs qualitative and statistical machine learning methods to model learner interactions.

Recent publications emphasize generative AI in K-12, elementary data science practices, and critical machine learning literacy, reflecting trends in interdisciplinary pedagogy and ethical AI education. Articles span influential journals like Journal of Educational Research and International Journal of Child-Computer Interaction.

• PRISM Baker Fellowship, Stanford (2024)
• Graduate Student Award of Excellence, Clemson (2024)
• RC Edward Graduate Fellowship (2020-2022)
• Best Poster Paper, International Conference on Quantitative Ethnography (2021)

Adisa advises on NSF-funded projects and co-designs AI literacy resources through the CRAFT initiative at Stanford. He is affiliated with the DISTAL Lab and collaborates with institutions like the Institute for Human-Centered AI.