Exploring Human-Centered Approaches in Generative AI and Introductory Programming Research: A Scoping Review

Recent advancements in generative artificial intelligence are poised
to reshape introductory programming education, challenging conventional teaching methodologies. This paper presents a scoping
review that explores the current understanding of integrating generative artificial intelligence tools in the learning of introductory
programming. Through an analysis of 28 selected studies, this review provides a snapshot of the landscape in mid-2024, presenting
benefits, concerns, and recommendations surrounding the use of
generative artificial intelligence within programming education.
It finds insufficient guidance on how to implement recommended
pedagogical strategies, limited consideration of student perceptions
and experiences, and a predominance of short study time frames.
Additionally, there is a significant research gap in second-level education, particularly in the United Kingdom and Ireland. The paper
discusses how these gaps signal a need for more human-centered
approaches in the current research. The paper concludes with recommendations for future research, aiming to inspire further inquiry
and advance the understanding of generative artificial intelligence’s
role in programming education from a human-centered perspective.