Musa Adekunle Ayanwale
Papers
2
Total Citations
5
H-Index
2
About
Musa Adekunle Ayanwale is a leading voice in the future of STEM education, specializing in the intersection of artificial intelligence, problem-based learning (PBL), and computational thinking. His research directly addresses the critical skills gap in developing nations, where students often lack the higher-order thinking required for the 21st-century workforce. Ayanwale’s major contributions demonstrate how AI-supported PBL can transform computer-robotics education, significantly boosting student engagement, intrinsic motivation, and academic achievement. His most-cited work, “Artificial intelligence meets PBL: transforming computer-robotics programming motivation and engagement” (2025, 3 citations), provides a pioneering framework for integrating AI into traditional pedagogies. A follow-up study, “AI-supported problem-based learning for enhancing computational thinking skills in STEM education” (2026, 2 citations), further solidifies his impact by showing how these methods prepare students for a future where over 80% of skilled jobs will demand computational thinking. Ayanwale’s work is not just theoretical; it offers actionable solutions for educators worldwide, making him a key figure in the movement to modernize STEM instruction and equip learners with essential skills for the digital age.
Research Focus
Key Achievements
Top Papers
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