Concept mapping assessment in medical education: a comparison of two scoring systems

概念图 等级间信度 可靠性(半导体) 心理学 计算机科学 医学教育 医学 数学教育 评定量表 发展心理学 功率(物理) 物理 量子力学
作者
Daniel C. West,Jeanny K. Park,J. Richard Pomeroy,Jonathan Sandoval
出处
期刊:Medical Education [Wiley]
卷期号:36 (9): 820-826 被引量:125
标识
DOI:10.1046/j.1365-2923.2002.01292.x
摘要

Background Concept mapping has the potential to measure important aspects of a student's evolving knowledge framework in a way that conventional examinations cannot. This is important because development of an elaborate and well-structured knowledge framework is a critical step toward becoming an expert in a particular field. Little is known about the best way to score concept maps in the setting of medical education. Therefore, as a preliminary step in addressing this question, we compared two different scoring systems for validity: a structural method based on the organization of a map's hierarchical structure and a relational method based, not on structure, but on the quality of each individual map component. Methods A total of 21 paediatric resident doctors completed concept map training, drew a preinstruction concept map about 'seizures', completed a seizure education course, and then drew a postinstruction seizure map. Two raters using both structural and relational methods scored each map. Results Structural scores increased significantly after instruction and were higher in more experienced residents, but relational scores were not significantly different. Interrater scoring reliability for both methods ranged from moderate to strong, but was greater using the relational scoring method. Conclusions These data suggest that scoring systems for evaluating concept maps in postgraduate medical education may need to account for structural features of maps, if scores are to reflect changes in the developing knowledge frameworks of resident doctors. More research to further evaluate reliability and validity is critical prior to any future use of concept mapping assessment in medical education.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张正完成签到,获得积分10
1秒前
Lily完成签到,获得积分10
1秒前
1秒前
1秒前
松梢月色完成签到 ,获得积分10
2秒前
无极微光应助薛定谔的猫采纳,获得20
2秒前
emmm发布了新的文献求助10
3秒前
逗号完成签到,获得积分10
3秒前
月岛滴滴完成签到,获得积分10
3秒前
3秒前
bkagyin应助逗号采纳,获得10
5秒前
松梢月色关注了科研通微信公众号
5秒前
Orange应助苗条的唇彩采纳,获得30
5秒前
高强完成签到,获得积分10
6秒前
刘宇峰发布了新的文献求助10
6秒前
6秒前
Nam22发布了新的文献求助10
7秒前
小飞123发布了新的文献求助10
7秒前
枳甜完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
哈哈完成签到,获得积分10
9秒前
纯真完成签到,获得积分20
9秒前
10秒前
11秒前
酷波er应助古木采纳,获得10
11秒前
科研通AI6.3应助小容采纳,获得10
12秒前
哈哈应助文件撤销了驳回
12秒前
12秒前
Jasper应助旎旎采纳,获得10
13秒前
bfsd凡发布了新的文献求助10
13秒前
刘宇峰完成签到,获得积分10
14秒前
hoyan完成签到,获得积分10
14秒前
哈哈呀完成签到 ,获得积分10
14秒前
zc发布了新的文献求助10
14秒前
15秒前
高强发布了新的文献求助10
15秒前
15秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360182
求助须知:如何正确求助?哪些是违规求助? 8174316
关于积分的说明 17216935
捐赠科研通 5415033
什么是DOI,文献DOI怎么找? 2865763
邀请新用户注册赠送积分活动 1843055
关于科研通互助平台的介绍 1691258