Ibrahim ('Joba) Adisa is an AI Education Postdoctoral Fellow at Stanford University's Human-Centered AI Institute and works with Dr. Victor Lee on the CRAFT AI project at the Graduate School of Education at Stanford University. His research lies at the intersection of learning sciences, computing education, data science, and AI literacy. He focuses on creating pedagogical tools and curriculum resources that enhance data literacy and promote creativity, computational thinking skills, and collaborative problem-solving with AI in K-12 education. His research is most often done through co-designs and partnerships in both formal and informal learning environments (such as YMCAs or Family homes) and involves using both qualitative and statistical machine learning methods to model and analyze learners' interactions with people, content, and digital tools in these environments.

'Joba completed his undergraduate studies at the Federal University of Technology Minna with an emphasis on cognitive science, physics, and mathematics. He earned a master's in educational technology from the University of Ibadan. He obtained his doctorate in Learning Sciences from Clemson University, where he supported several NSF-funded projects in STEM, data science, and AI education. Before graduate school, he worked as a Digital Learning Specialist at Tek Experts, a global digital tech talent corporation. His diverse academic background underpins his innovative approach to educational research and instructional design.

'Joba has received numerous awards and honors throughout his academic career, including the Outstanding Graduate Researcher Award and fellowships from MTN Foundation, Caroline Odunola Foundation, and Clemson University. His publications span various high-impact journals and conferences, contributing to the fields of AI literacy, data science education, and computing education.

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