使用人工智能处理工具来评估定性数据:学生研究人员与教师研究人员相比
Shanna K O'Connor1, Erin E Miller2, Alyssa R Zweifel3
1South Dakota State University, Department of Pharmacy Practice, College of Pharmacy and Allied Health Professions, 2400 S Minnesota Ave Suite 101, Sioux Falls, SD 57105, United States of America.
Currents in pharmacy teaching & learning
|June 20, 2025
概括
人工智能 (AI) 可以协助定性数据分析. 在这项研究中,教师指导的AI分析比学生指导的AI分析更准确地确定了主题.
科学领域:
- 定性研究方法 定性研究方法
- 在学术界的人工智能.
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 在定性数据分析中的应用正在不断发展.
- 它在涉及学生合作者的教师主导研究中的特定实用性需要进一步研究.
- 本研究探讨了AI在学术环境中的专题分析中的作用.
研究的目的:
- 将人工智能辅助方法的感应主题分析结果与传统的教师领导编码进行比较.
- 评估教师和学生研究人员使用人工智能识别的主题的准确性.
- 探索人工智能工具,如ChatGPT在定性研究教育中的有效性.
主要方法:
- 分析了三个不同的定性数据集.
- 使用OpenAI的ChatGPT作为人工智能工具进行分析.
- 教师研究人员和学生研究人员都参与了人工智能辅助编码.
主要成果:
- 人工智能辅助的分析表明,跨数据集的主题识别的准确性很高.
- 与学生生成的结果相比,由教师生成的AI主题分析结果与专家验证的主题的一致性更大.
- 在教师和学生研究人员之间观察到AI主题准确性的差异.
结论:
- 人工智能是提高定性数据分析效率的宝贵工具.
- 在定性数据评估的初始阶段,人工智能表现特别有前途.
- 研究结果表明,人工智能可以支持教师和学生进行定性研究,教师监督提高准确性.
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