Christian Basil Omeh

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About

Christian Basil Omeh is an emerging scholar at the intersection of artificial intelligence, STEM education, and computational pedagogy. His research focuses on transforming how students engage with complex subjects like computer-robotics programming by integrating AI-supported Problem-Based Learning (PBL) into traditional curricula. Omeh’s most cited work, “Artificial intelligence meets PBL: transforming computer-robotics programming motivation and engagement” (2025, 3 citations), demonstrates how AI-enhanced instructional strategies can significantly boost students’ intrinsic motivation and academic achievement—a critical finding given that conventional pedagogies often fail to sustain learner interest. His follow-up study, “AI-supported problem-based learning for enhancing computational thinking skills in STEM education” (2026, 2 citations), addresses a pressing global challenge: by 2030, over 80% of skilled jobs will require higher-order thinking, yet many university students—especially in developing countries—remain underprepared. Omeh’s work directly tackles this skills gap, offering evidence-based frameworks that equip learners with problem-solving and computational thinking abilities essential for the future workforce. Though early in his career, his focused contributions signal a promising trajectory in reimagining STEM education for the AI era.