在本科护理学生中使用生成人工智能 (GenAI) 的真实性和学术完整性
Chiew-Jiat Rosalind Siah1, Junwei Vincent Lim1, Meng Meng Lyu2
1National University of Singapore, Singapore.
概括
高等教育中的生成人工智能 (GenAI) 提出了伦理挑战,并影响了学生的学习. 需要明确的指导方针,以确保GenAI增强,而不是取代原始学术工作.
科学领域:
- 高等教育教学的教学.
- 教育技术整合教育技术整合
- 在数字时代的学术诚信.
背景情况:
- 生成型人工智能 (GenAI) 正在改变高等教育的学习体验.
- 在提供教育益处的同时,GenAI引入了伦理问题和对学生自我评估和参与的潜在影响.
- 了解学生与GenAI的互动对于导航其在学术界的角色至关重要.
研究的目的:
- 探索本科护理学生与GenAI的经验.
- 调查学生对GenAI关于学术诚信和工作真实性的看法.
- 评估学生对GenAI在学术环境中可接受使用的认识和态度.
主要方法:
- 定性描述性研究设计.
- 与本科护理学生进行的小组采访.
- 在2024年10月至2025年1月期间收集的数据.
主要成果:
- 从分析中出现了五个关键主题:与学习的整合,对GenAI信息的信任,道德考虑,学术诚信以及对GenAI使用的指导.
- 学生们讨论了如何将GenAI整合到他们的学习过程中.
- 对GenAI输出的可靠性和伦理含义存在重大担忧.
结论:
- 进一步了解GenAI在自主学习和活动管理中的作用至关重要.
- 教师需要明确的机构指导方针来指导GenAI的使用.
- 应该将GenAI定位为一种工具,以增强,而不是取代原始的学生工作,以维护学术诚信.
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