理解学生对用于教育目的的人工智能生成图像的接受度、信任度与态度
Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes
AI总结：
本研究通过问卷与访谈探究计算机科学和软件工程本科生对AI生成图像用于教育任务的接受度、信任度与态度，发现学生总体持积极态度但担忧技术精确性不足，并提出需制定伦理、知识产权和质量标准方面的指导方针以提升教育应用效果。
摘要：
人工智能（AI）的最新进展拓宽了AI生成图像在各个领域的适用性，包括创意产业和设计领域。然而，其在教育情境中的利用，尤其是在计算机科学和软件工程专业的本科生中，仍未得到充分探索。本研究采用探索性方法，结合问卷调查和访谈，评估学生对将AI生成图像用于演示文稿、报告和网页设计等教育任务的接受度、信任度和积极态度。结果表明，重视易用性和潜在学业收益的学生表现出较高的接受度、信任度和积极态度。然而，对技术精确性不足的担忧——即AI未能按照提示准确生成图像——在一定程度上影响了其在注重细节的教育任务中的实际应用。这些发现表明，需要制定全面的指导方针，以解决伦理考量和知识产权问题，同时为AI生成图像设定质量标准，以促进其教育用途。增强AI工具满足用户精确规格的能力，可以培养创造力并改善技术学科的教育成果。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
