arXiv cs.AI· Ruiwei Xiao, Runlong Ye, Xinying Hou, Jessica Wen, Harsh Kumar, Michael Liut, John Stamper·· 1 天前AI 评分38
简短指令即可提升编程入门课的学习导向提示词能力：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
一项针对编程入门课程的随机对照试验（N=431）发现，从两句话提醒到多步骤建构任务的四种教学干预均能提升学生面向学习的提示词能力，效果在六周后仍持续，并随设计参与度从 8 个百分点升至 51 个百分点。各条件下学生均自报持续自愿使用，信心随技能同步增长，但期末考试成绩无组间差异，提示技能到学业成绩的转化路径可能是效果边界。
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