医学成像和辐射科学学生使用人工智能进行学习和评估
1Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Johannesburg, 6306a John Orr Building, Doornfontein, South Africa.
放射学学生使用人工智能进行学习和评估,但对其可靠性和伦理问题表示担忧. 建议将AI负责任地整合到课程中,以加强医学成像教育.
科学领域:
- 医学成像和辐射科学 医学成像和辐射科学
- 教育中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地用于医学成像和临床环境.
- 有限的实证研究存在于放射学学生的AI利用学习和评估.
研究的目的:
- 了解放射学学生对使用人工智能进行学习和评估的经验和看法.
- 探索将AI整合到医学成像和辐射科学课程中的潜力.
主要方法:
- 定性探索性和描述性研究设计.
- 五个焦点小组采访南非本科医学成像和辐射科学学生.
- 对完整的采访成绩单进行主题分析.
主要成果:
- 学生利用人工智能产生想法,提升学术写作,文学搜索和提高效率.
- 人工智能工具支持理论和临床学习,基于模拟的人工智能有助于临床技能发展.
- 确定的挑战包括对人工智能的可靠性和道德影响的担忧.
结论:
- 学生使用人工智能进行各种学习和评估任务,突出其潜在的好处.
- 人工智能可靠性和道德方面的担忧需要引导整合到教育中.
- 建议包括教育学生如何负责任地使用人工智能,并将人工智能纳入课程和评估,以加强医学成像教育.
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