一群来自 Oakland University William Beaumont School of Medicine was awarded Best Oral Presentation during a recent virtual conference hosted by the Association of American 医疗 Colleges.
特蕾西泰勒, Ph.D.他是负责多元化事务的副院长 & 包容 and associate professor, presented “Use of Artificial Intelligence to Map Assessment Alignment in 医疗 教育” on behalf of her co-authors.
The presentation — given during AAMC’s Virtual Group on 教育al Affairs (GEA) Conference — centered on OUWB’s study of artificial intelligence to map curricular events.
It’s an approach that could improve curriculum mapping in several ways, including decreased faculty and staff workload, 随着精确度的提高. 在有限基础上, OUWB officials already have tested AI in curriculum mapping and found it to have potential.
“I went into it thinking that the gold standard is going to be doing (curriculum mapping) by hand,泰勒说。. “But from what we’ve seen so far, that’s not the correct way to look at it.”
课程 mapping in medical school essentially refers to the linkages of competencies to learning objectives and the measurement of how they perform in meeting those objectives.
“We have to demonstrate that students are learning what they need to learn,” said Robin Rivest, M.Ed., MBA, director of 课程 Data Management, one of the co-authors.
In addition to 泰勒 and Rivest, other authors were 罗伯特Noiva, Ph.D., associate dean of Graduate Studies & 社区 Integration and associate professor; 大卫·托马斯。, Ph.D., associate dean for Preclinical 教育 and associate professor; and 詹姆斯·甘, Ph.D., professor; along with Ian Haworth, Ph.D., associate professor, University of Southern California.
泰勒 |
Traditionally, data that allows for curriculum mapping is recorded manually. It can be a tedious process and a challenge to produce consistent and accurate results.
“All med schools have to do this and there’s just not an easy way to do it,泰勒说。. “Everyone does it in their spare time…and no one wants to do it.”
这就是人工智能可以发挥作用的地方.
The idea is that instead of manually entering information, computer software evaluates course materials and determines if objectives are being met. The intended benefit is that the curriculum mapping process is streamlined while producing the most accurate results.
OUWB received a Central Group on 教育al Affairs (CGEA) mini-grant in 2019 to test AI in curriculum mapping using a platform called mapEDU. So far, OUWB has used AI in curriculum mapping on a limited basis. Officials have found it to be helpful in streamlining some processes, but also discovered that there were improvements needed, particularly with regard to how the software interprets some of the curriculum language. Rivest said it will continue to be evaluated.
But based on the response to the presentation at the GEA conference and subsequent number of emails Rivest has received, it’s safe to say OUWB isn’t the only medical school interested in the technology.
“With us being able to demonstrate to other schools the use of AI in curriculum mapping, 他们对此非常感兴趣,”她说。. “When we try to do research on who else is using AI for mapping, we can’t find anyone else.”
泰勒 said she appreciated the group being recognized for its presentation by AAMC.
“太令人兴奋了，”她说. “(The team) is such an interesting collaboration. It was really rewarding putting it together for the conference…and then to be recognized, for our work was just really exciting.”
For more information, contact Andrew Dietderich, marketing writer, OUWB, at (电子邮件保护).
To request an interview, visit the OUWB Communications & 市场营销 网页.
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