Kodweis Karl R, Cory Theodore J, Hall Elizabeth A, George Christa M, March Katherine L
The University of Tennessee Health Science Center College of Pharmacy, Memphis, TN, United States of America.
Explor Res Clin Soc Pharm. 2025 May 6;18:100553. doi: 10.1016/j.rcsop.2024.100553. eCollection 2025 Jun.
Artificial intelligence (AI)- powered chatbots have provided some notable benefits for learners. Educators are beginning to explore their possible utility and find ways to leverage AI in their classrooms.
This study aimed to evaluate the implementation of ChatGPT-generated social determinants of health (SDOH) activity in a team-based pharmacy education course.
Instructors asked the software to generate a set of learning objectives, an in-class activity, assessment strategies, and summative assessments for a student's conceptual understanding of SDOH. During a required first-year, team-based pharmacy course at the University of Tennessee Health Science Center, participants ( = 95) completed a ChatGPT-generated, in-class activity on SDOH within groups. The students' views on the quality of the activity were evaluated using five Likert-scale questions. Four of the questions assessed the applicability and usefulness of the assignment, with rankings on a scale of 1-4 (1 = strongly disagree; 4 = strongly agree). The fifth question evaluated the quality of the activity compared to activities generated by the instructor, using a scale of 1-5 (1 = far worse; 5 = far better).
For applicability and usefulness,"94.7 % ( = 90) of students agreed that "This in-class exercise was valuable to my professional development as a pharmacist;" 96.8 % ( = 92) agreed with "It is necessary for pharmacists to understand SDOH;" 94.7 % (n = 90) agreement with the statement, ";" and 90.5 % ( = 86) agreed with "" The majority of students (63.2 %; = 60) selected either "somewhat better" (40 %; = 38) or far better (23.2 %; = 22) for, "Regarding quality, I feel the in-class activity was ____ than other in-class activities."
Most students reported that the ChatGPT-generated activity on social determinants of health was useful, applicable, and somewhat or far better than instructor activities. However, AI can generate incorrect information and potentially hinder student learning of conceptual frameworks; thus, instructors should review all output carefully.
由人工智能驱动的聊天机器人已为学习者带来了一些显著益处。教育工作者开始探索其潜在用途,并寻找在课堂上利用人工智能的方法。
本研究旨在评估在以团队为基础的药学教育课程中实施由ChatGPT生成的健康社会决定因素(SDOH)活动的情况。
教师要求该软件为学生对健康社会决定因素的概念理解生成一套学习目标、课堂活动、评估策略和总结性评估。在田纳西大学健康科学中心的一门必修的一年级以团队为基础的药学课程中,参与者(n = 95)在小组内完成了由ChatGPT生成的关于健康社会决定因素的课堂活动。使用五个李克特量表问题评估学生对活动质量的看法。其中四个问题评估作业的适用性和有用性,评分范围为1至4分(1 = 强烈不同意;4 = 强烈同意)。第五个问题使用1至5分的量表(1 = 差得多;5 = 好得多)评估与教师生成的活动相比该活动的质量。
在适用性和有用性方面,“94.7%(n = 90)的学生同意‘这个课堂练习对我作为药剂师的职业发展很有价值’;96.8%(n = 92)同意‘药剂师了解健康社会决定因素是必要的’;94.7%(n = 90)同意该陈述‘ ’;90.5%(n = 86)同意‘ ’。对于‘关于质量,我觉得这个课堂活动比其他课堂活动____’,大多数学生(63.2%;n = 60)选择了‘稍好一些’(40%;n = 38)或‘好得多’(23.2%;n = 22)。
大多数学生报告称,由ChatGPT生成的关于健康社会决定因素的活动是有用的、适用的,并且比教师的活动稍好或好得多。然而,人工智能可能会生成错误信息,并可能阻碍学生对概念框架的学习;因此,教师应仔细审查所有输出内容。