Nsebong George
Over the past two decades, computer science education has been characterized by rapid technological change, evolving pedagogical practices, and shifting labor market demands. As advances in artificial intelligence, cyber security, big data analytics, cloud computing, and human-computer interaction continue to accelerate, computer science education must adapt to remain relevant and effective. This seminar examined emerging trends that are likely to shape the future of computer science education over the next decade. Through a comprehensive literature review, the paper explored technological integration in teaching and learning, curriculum restructuring, interdisciplinary approaches, equity and inclusion, ethical considerations, and systemic challenges. The review synthesized empirical findings, theoretical frameworks, and policy analyses from global research to provide a nuanced understanding of how computer science education might evolve by the year 2036. The paper concluded with recommendations for educators, institutions, and policymakers to ensure that computer science education remains responsive, equitable, and aligned with the needs of a digitally driven society.