LEAPPT: Leveraging gEnerative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum and content development.

IF 1.9 Q3 CRITICAL CARE MEDICINE
Alvin V Singh, Erin Khan, Mary Moffat
{"title":"LEAPPT: Leveraging gEnerative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum and content development.","authors":"Alvin V Singh, Erin Khan, Mary Moffat","doi":"10.1093/atsscholar/aapaf007","DOIUrl":null,"url":null,"abstract":"<p><p>After redesigning the curriculum of the pediatric pulmonology fellowship program at Children's Mercy-Kansas City, leadership continued to make changes based on feedback from a faculty survey concerned about the quality and structure of didactics. These changes included leveraging generative artificial intelligence to create a detailed course content outline containing specific objectives and study points for each subject related to pediatric pulmonology. Using the content outline as a foundational reference for learners, fellowship leadership continues to enhance the curriculum by creating testing questions, flipped classroom sessions and evaluations, and hope that these specific changes will help address decreased passing rates on board certifying exams.</p>","PeriodicalId":72330,"journal":{"name":"ATS scholar","volume":"7 1","pages":"9-15"},"PeriodicalIF":1.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048462/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ATS scholar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/atsscholar/aapaf007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

After redesigning the curriculum of the pediatric pulmonology fellowship program at Children's Mercy-Kansas City, leadership continued to make changes based on feedback from a faculty survey concerned about the quality and structure of didactics. These changes included leveraging generative artificial intelligence to create a detailed course content outline containing specific objectives and study points for each subject related to pediatric pulmonology. Using the content outline as a foundational reference for learners, fellowship leadership continues to enhance the curriculum by creating testing questions, flipped classroom sessions and evaluations, and hope that these specific changes will help address decreased passing rates on board certifying exams.

LEAPPT:利用生成式人工智能-儿科肺科培训。课程和内容开发。
在堪萨斯城儿童慈善医院重新设计儿科肺科奖学金项目的课程后,领导层继续根据教师对教学质量和结构的调查反馈进行改革。这些变化包括利用生成式人工智能创建详细的课程内容大纲,其中包含与儿科肺科相关的每个学科的具体目标和学习要点。奖学金领导将内容大纲作为学习者的基础参考,通过创建测试问题、翻转课堂和评估,继续加强课程,并希望这些具体的变化将有助于解决认证考试合格率下降的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.00
自引率
0.00%
发文量
0
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书