大学生普遍信任AI生成图像，但精准度不足影响使用效果。
Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes
- 通过问卷与访谈调研学生对AI图像的接受度
- 超半数学生认为其易用且有学术价值，但准确率存疑
- 适合关注AI教育应用与技术伦理的研究者
人工智能近期发展使AI生成图像在创意与设计领域广泛应用，但在计算机科学与软件工程等本科教育场景中仍缺乏研究。本研究采用探索性方法，结合问卷与访谈，评估学生在演示文稿、报告及网页设计等教育任务中对AI生成图像的接受度、信任感和积极态度。结果显示，学生普遍认可其易用性与潜在学术价值，表现出高接受度与信任度；但对技术精确性的担忧，即AI未能按提示准确生成图像，显著影响其在细节要求高的任务中的实际应用。研究建议制定涵盖伦理与知识产权的指导规范，并设定图像质量标准，同时提升AI工具对用户指令的精确响应能力，以促进技术学科中的创造力与教育成效。
原文摘要 · Abstract (English)
Recent advancements in artificial intelligence (AI) have broadened the applicability of AI-generated images across various sectors, including the creative industry and design. However, their utilization in educational contexts, particularly among undergraduate students in computer science and software engineering, remains underexplored. This study adopts an exploratory approach, employing questionnaires and interviews, to assess students' acceptance, trust, and positive attitudes towards AI-generated images for educational tasks such as presentations, reports, and web design. The results reveal high acceptance, trust, and positive attitudes among students who value the ease of use and potential academic benefits. However, concerns regarding the lack of technical precision, where the AI fails to accurately produce images as specified by prompts, moderately impact their practical application in detail-oriented educational tasks. These findings suggest a need for developing comprehensive guidelines that address ethical considerations and intellectual property issues, while also setting quality standards for AI-generated images to enhance their educational use. Enhancing the capabilities of AI tools to meet precise user specifications could foster creativity and improve educational outcomes in technical disciplines.
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