Dataset on Technology Acceptance, Learning Engagement, Reflective Use, Learning Interest, and Programming Self-Efficacy in AI-Supported Programming Learning

Published: 9 May 2026| Version 1 | DOI: 10.17632/bmg4r393zw.1
Contributors:
bixia tang, Heng Luo, Miaomiao Chen, Xinyue Zhao

Description

This dataset contains anonymized survey data collected from students in an AI-supported programming learning context. It includes measures of technology acceptance, learning engagement, reflective use, interest in programming, learning satisfaction, programming self-efficacy, and gender. The dataset was used to examine the direct and indirect relationships between technology acceptance and programming self-efficacy through mediation analysis. The data file is provided in SPSS (.sav) format and can be used to reproduce the main statistical analyses reported in the associated manuscript.

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Categories

Computer Science, Education

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