兽医学生的人工智能素养较低,但同意它将被部署用于改善兽医
Krystle L Reagan1, Karen Boudreaux2, Stefan M Keller3
1Department of Veterinary Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, CA.
American journal of veterinary research
|May 20, 2025
概括
兽医学生表现出有限的知识,但对人工智能和机器学习 (AI/ML) 很感兴趣. 大多数人预计将在实践中使用AI/ML,强调了课程整合的必要性.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能和机器学习 (AI/ML) 正在迅速发展.
- 在兽医中,AI/ML的应用越来越普遍.
- 了解兽医学生对AI/ML的看法对于未来的整合至关重要.
研究的目的:
- 评估兽医学生对AI/ML的知识和看法.
- 为了衡量学生对兽医AI/ML的兴趣.
- 确定目前的兽医课程中有关AI/ML的差距.
主要方法:
- 在加利福尼亚大学戴维斯分校的兽医学生中进行了横截面调查.
- 该调查收集了有关学生对AI/ML的知识,态度和接触的数据.
- 用描述性统计数据来分析调查答案.
主要成果:
- 80%的受访学生报告说,他们对AI/ML的了解很少或根本没有.
- 79%的人表示对学习AI/ML应用有中度至极度的兴趣.
- 59%的人预计将在未来的实践中使用AI/ML工具,77%的人认为AI/ML将改善兽医.
结论:
- 兽医学生对AI/ML有着强烈的兴趣,并认识到其未来的重要性.
- 目前的兽医课程没有充分解决AI/ML素养问题.
- 教育计划应该纳入AI/ML,为未来的兽医做好临床实践的准备.
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