arXiv cs.AI· Ruiwei Xiao, Runlong Ye, Xinying Hou, Jessica Wen, Harsh Kumar, Michael Liut, John Stamper·· 3 小时前AI 评分46
简短指导可改善编程课上的学习导向 GenAI 提示：一项随机对照试验
Bridging GenAI policy and practice: Brief instruction improves learning-oriented prompting in an introductory programming course
AI 导读
一项面向编程入门课的随机对照试验（N = 431，含六周随访）比较了四种从两句提醒到多步建构任务的教学方式，发现它们都能带来学习导向提示词行为的提升，增幅为 8 到 51 个百分点，且效果可持续六周并随设计参与度递增。各条件学生均报告持续自愿使用，自信心与技能同步增长；期末考试成绩在不同条件间无差异。
正文 · 原文
Abstract:Generative artificial intelligence (GenAI) is now commonplace in higher education, yet unguided use can harm learning. Universities have responded with policies asking students to use GenAI for learning, not solutions, but how to translate these policies into classroom instruction remains untested. Here we report a randomized controlled trial with a six-week, end-of-semester follow-up (N = 431) in an introductory programming course comparing four instructional approaches, from a two-sentence reminder (Condition 1) to a multi-step constructive task (Condition 4). We found: (1) all four approaches produced learning-oriented prompting gains that persisted six weeks later and scaled with the designed engagement level, from 8 to 51 percentage points; (2) students in every condition self-reported sustained voluntary use, and confidence grew in step with skill; and (3) final examination performance did not differ between conditions, placing the possible boundary of the effects at the pathway from prompting skill to achievement. These findings provide instructors with an empirically calibrated set of options for translating GenAI-use policies into classroom practice.
| Comments: | 26 pages, 10 figures |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2602.16033 [cs.HC] |
| (or arXiv:2602.16033v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2602.16033 arXiv-issued DOI via DataCite |
Submission history
From: Ruiwei Xiao [view email]
[v1]
Tue, 17 Feb 2026 21:40:12 UTC (1,508 KB)
[v2]
Thu, 12 Nov 2026 13:49:07 UTC (4,511 KB)
来源：arXiv cs.AI · arxiv.org