Paul Denny

Papers

Total Citations

721

H-Index

About

Paul Denny is a prominent computing education researcher whose work sits at the critical intersection of artificial intelligence and programming pedagogy. Based on his most-cited publications, Denny has established himself as a leading voice in understanding how generative AI tools — particularly large language models like OpenAI's Codex and GPT-3 — are reshaping the landscape of introductory programming education. His 2022 paper exploring the implications of OpenAI Codex has garnered over 400 citations, reflecting the urgency and relevance of his investigations into AI's capacity to write functional code, raising fundamental questions about academic integrity, assessment design, and the future of programming instruction. His follow-up work navigating the "Generative AI Revolution in Computing Education," cited over 310 times, further cements his role as a thought leader helping educators, students, and institutions adapt to rapidly evolving AI capabilities. Denny's research is particularly valued for its practical orientation — he does not merely identify disruption but actively guides the computing education community in responding thoughtfully. For students and researchers grappling with AI's role in learning environments, his scholarship offers indispensable frameworks for understanding both the opportunities and challenges ahead.