Suppr超能文献

对PlanAlyzer在贫血和胸痛诊断中基于计算机、自主学习、病例式程序的双交叉试验的评估结果。

Findings from an evaluation of PlanAlyzer's double cross-over trials of computer-based, self-paced, case-based programs in anemia and chest pain diagnosis.

作者信息

Lyon H C, Healy J C, Bell J R, O'Donnell J F, Shultz E K, Wigton R S, Hirai F, Beck J R

机构信息

Department of Community & Family Medicine, Dartmouth Medical School, Hanover, New Hampshire 03756.

出版信息

Proc Annu Symp Comput Appl Med Care. 1991:88-93.

Abstract

We report on three years of research trials of the PlanAlyzer I Project--a carefully controlled research study using a microcomputer-based, self-paced, case-based, event-driven system for medical education. PlanAlyzer presents cases, elicits and critiques a second year student's approach to the diagnosis of anemias and chest pain. PlanAlyzer uses text, hypertext, images and critiquing theory. Students were randomized, one half becoming the experimental group who received the interactive PlanAlyzer cases in anemia, the other half becoming the controls who received the exact same content material in a text format. Later in each year there was a crossover, the controls becoming the experimentals for a similar intervention with the cardiology PlanAlyzer cases. Results at the end of the first two years of trials show that the programs have achieved some significant efficiency and economy gains. 96 faculty hours of classroom time were saved by using PlanAlyzer in their place, with no loss in student achievement. In terms of student proficiency and efficiency, combining the anemia and cardiology trials, the 328 students in the two years of full scale trials were able to accomplish the project's instructional objectives. The experimentals accomplished this in 43% less time than the controls. On the average, for both the anemia and chest pain programs, this amounted to students spending 7.5 hours longer on the 30 text cases than on the same 30 computer cases to achieve the same level of mastery. There have been no significant proficiency differences (as measured by current post-tests) between the experimental and control groups.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

我们报告了“PlanAlyzer I项目”三年的研究试验情况——这是一项精心控制的研究,采用基于微型计算机的、自主进度的、基于案例的、事件驱动的医学教育系统。PlanAlyzer呈现病例,引出并评判二年级学生对贫血和胸痛诊断的方法。PlanAlyzer使用文本、超文本、图像和评判理论。学生被随机分组,一半成为实验组,接受关于贫血的交互式PlanAlyzer病例,另一半成为对照组,以文本形式接受完全相同的内容材料。每年晚些时候会有交叉,对照组成为实验组,接受针对心脏病学PlanAlyzer病例的类似干预。前两年试验结束时的结果表明,这些程序实现了一些显著的效率和经济性提升。通过使用PlanAlyzer取代课堂教学,节省了96个教师课时,且学生成绩没有下降。在学生熟练程度和效率方面,综合贫血和心脏病学试验,两年全面试验中的328名学生能够完成该项目的教学目标。实验组完成这些目标所花费的时间比对照组少43%。平均而言,对于贫血和胸痛项目,学生在30个文本病例上花费的时间比在相同的30个计算机病例上多7.5小时,才能达到相同的掌握水平。实验组和对照组之间(通过当前的后测衡量)没有显著的熟练程度差异。(摘要截短为250字)

相似文献

本文引用的文献

5
Computer graphics as an aid to learning.计算机图形学辅助学习。
Science. 1971 May 28;172(3986):903-8. doi: 10.1126/science.172.3986.903.
7
Validation of a new measure of clinical problem-solving.
Med Educ. 1987 May;21(3):213-8. doi: 10.1111/j.1365-2923.1987.tb00693.x.
8
The effect of feedback in learning clinical diagnosis.
J Med Educ. 1986 Oct;61(10):816-22. doi: 10.1097/00001888-198610000-00006.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验