
ジャーナル論文2025
ジャーナル論文 158Progressive mind maps strengthened programming performance beyond chatbot assistance alone
Xindong Ye, Wenyu Zhang, Yuxin Zhou, Xiaozhi Li, Qiang Zhou
Humanities and Social Sciences Communications
A study of 111 seventh-grade students compared chatbot-supported Python learning with two forms of mind-map scaffolding. The group progressing from partially completed maps to independent construction achieved the strongest programming-test results. Questionnaire-based computational-thinking outcomes also favored the scaffolded conditions, but post-test programming self-efficacy did not differ significantly between groups. The study supports examining the structure around AI help, while intact-class allocation and limited process data constrain causal and transfer claims.
programming educationmind mappinginstructional scaffolding
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