一句话：用视频作业替代传统书面考核，在大班软件工程课程中抑制 AI 代写并提升学生参与度。
随着 AI 写作工具的普及，学生获得强大支持的同时也带来学术不端风险，在大规模课程中尤其难以监督。本文以一门本科入门级软件工程课程为案例，将传统的书面考核改为视频作业：学生录制简短的视频报告，针对特定任务或问题展示对课程概念的理解与分析能力，从而难以仅依赖 AI 生成的文本完成考核。研究通过问卷调查与后续访谈收集数据。结果表明，这种视频形式不仅抑制了 AI 辅助的不端行为，还促进了更深入的学习参与、提升了沟通表达能力，并增强了学生对评价公平性的认同。作者认为，视频作业是一种可扩展的应对 AI 相关新挑战的方法，同时有助于培养软件工程教育中重要的软技能。
Recent advances in AI-powered writing tools provide powerful support for students but also raise concerns about academic misconduct, especially in large-enrollment courses where monitoring is challenging. To address these concerns, this paper presents a case study on implementing video-based assignments as an alternative to traditional written assessments in an introductory BSc-level Software Engineering course. In this approach, students recorded concise video presentations responding to specific tasks and/or questions, demonstrating both conceptual understanding of course topics and analytical skills — making it more difficult to rely solely on AI-generated text. Survey data and follow-up interviews indicate that this video-based format not only curbed AI-assisted misconduct but also fostered deeper engagement, enhanced communication skills, and reinforced perceptions of fairness in evaluation. These findings underscore the potential of video assignments as a scalable method for mitigating emerging AI-related challenges while enhancing essential soft skills in software engineering education.
@inproceedings{paperbot9101,
title = {Enhancing Learning and Mitigating AI-Assisted Misconduct: A Case of Using Video Assignments in a High-Enrollment Software Engineering Course},
author = {Andrey Saltan},
booktitle = {FSE},
year = {2025},
doi = {10.1145/3696630.3727230}
}