在定性研究中使用人工智能的伦理
David T Marshall1, David B Naff2
1Auburn University, Auburn, USA.
概括
定性研究人员在研究中谨慎接受人工智能 (AI),特别是在转录和初步编码方面. 接受度有所不同,来自R1大学的研究人员不太倾向于采用AI工具.
科学领域:
- 教育研究教育研究
- 定性方法 定性方法
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 和大型语言模型越来越多地融入教育和研究.
- 这种整合提出了重要的伦理考虑,特别是在定性研究方法方面.
- 定性设计的基本哲学和结构方面需要仔细检查人工智能的作用.
研究的目的:
- 调查在定性研究中使用人工智能的感知道德.
- 了解定性研究人员对人工智能在他们的工作中采用的态度.
- 确定影响人工智能在教育研究中的接受因素.
主要方法:
- 在2023年4月至5月期间从101名定性研究人员收集的调查数据.
- 对研究过程中人工智能的使用和伦理观念的回应分析.
- 基于机构研究生产力的接受水平的比较 (R1大学与其他大学).
主要成果:
- 研究人员最容易接受使用人工智能进行转录任务.
- 在初步编码中,AI的接受程度较低.
- 与高研究生产率 (R1) 大学相关的研究人员在研究中对人工智能的接受程度较低.
结论:
- 定性研究人员对人工智能采用有细微差别的看法,例如转录更容易被接受的实用应用.
- 机构生产力可能与研究中对人工智能的不同态度有关.
- 需要进一步的对话来导航人工智能在定性教育研究中的伦理整合.
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