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Direct linkGuangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
Xue Ran; Zhigang Li; Yalin Yang – SAGE Open, 2025
Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…
Descriptors: Programming, College Students, Independent Study, Artificial Intelligence
Rawad Chaker; Théodore Njingang Mbadjoin – Technology, Pedagogy and Education, 2025
Drawing on a situated approach, the authors study the joint effects of lesson plans, digital artefacts (robots and tablets), spatial behaviours of students and teachers, on reconfiguration of space and interactions between students and teachers. Video observations, cluster analyses and structural equation modelling of indicators show that the…
Descriptors: Robotics, Elementary Secondary Education, Space Utilization, Lesson Plans
