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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Guangrui 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
Matthew Quesnel; Brenda M. Stoesz – Australasian Journal of Educational Technology, 2025
Contract cheating is a significant concern in higher education, requiring a multifaceted teaching and learning approach to address it. Quizzing students about their writing to promote engagement, confirm authorship and detect cheating has not yet been investigated systematically. Therefore, in this study, our objective was to explore the validity…
Descriptors: Cheating, Authors, Computer Uses in Education, Validity

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