Teng Minnie, Singla Rohit, Yau Olivia, Lamoureux Daniel, Gupta Aurinjoy, Hu Zoe, Hu Ricky, Aissiou Amira, Eaton Shane, Hamm Camille, Hu Sophie, Kelly Dayton, MacMillan Kathleen M, Malik Shamir, Mazzoli Vienna, Teng Yu-Wen, Laricheva Maria, Jarus Tal, Field Thalia S
Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
School of Occupational Science and Occupational Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
JMIR Med Educ. 2022 Jan 31;8(1):e33390. doi: 10.2196/33390.
Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused on physicians, there is a need to assess the perspectives of students across health care disciplines to inform future curriculum development.
This study aims to explore and identify gaps in the knowledge that Canadian health care students have regarding AI, capture how health care students in different fields differ in their knowledge and perspectives on AI, and present student-identified ways that AI literacy may be incorporated into the health care curriculum.
The survey was developed from a narrative literature review of topics in attitudinal surveys on AI. The final survey comprised 15 items, including multiple-choice questions, pick-group-rank questions, 11-point Likert scale items, slider scale questions, and narrative questions. We used snowball and convenience sampling methods by distributing an email with a description and a link to the web-based survey to representatives from 18 Canadian schools.
A total of 2167 students across 10 different health professions from 18 universities across Canada responded to the survey. Overall, 78.77% (1707/2167) predicted that AI technology would affect their careers within the coming decade and 74.5% (1595/2167) reported a positive outlook toward the emerging role of AI in their respective fields. Attitudes toward AI varied by discipline. Students, even those opposed to AI, identified the need to incorporate a basic understanding of AI into their curricula.
We performed a nationwide survey of health care students across 10 different health professions in Canada. The findings would inform student-identified topics within AI and their preferred delivery formats, which would advance education across different health care professions.
人工智能(AI)已不再是一个未来概念;它正越来越多地融入医疗保健领域。由于对人工智能态度的研究主要集中在医生身上,因此有必要评估不同医疗保健学科学生的观点,以为未来的课程开发提供参考。
本研究旨在探索和识别加拿大医疗保健专业学生在人工智能方面的知识差距,了解不同领域的医疗保健专业学生在人工智能知识和观点上的差异,并介绍学生提出的将人工智能素养纳入医疗保健课程的方法。
该调查基于对人工智能态度调查主题的叙述性文献综述而制定。最终调查包括15个项目,包括多项选择题、分组排序题、11点李克特量表题、滑块量表题和叙述性问题。我们通过向加拿大18所学校的代表发送一封包含描述和基于网络调查链接的电子邮件,采用了滚雪球和便利抽样方法。
来自加拿大18所大学的10个不同医疗专业的2167名学生对该调查进行了回应。总体而言,78.77%(1707/2167)的学生预测人工智能技术将在未来十年内影响他们 的职业,74.5%(1595/2167)的学生对人工智能在各自领域的新兴作用持积极态度。对人工智能的态度因学科而异。学生们,即使是那些反对人工智能的学生,也认识到有必要将对人工智能的基本理解纳入他们的课程。
我们对加拿大10个不同医疗专业的医疗保健专业学生进行了一项全国性调查。研究结果将为学生确定的人工智能主题及其首选的教学形式提供参考,这将推动不同医疗保健专业的教育发展。