当前位置: X-MOL 学术Interactive Learning Environments › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The functional roles of metacognitive judgement and emotion in predicting clinical reasoning performance with a computer simulated environment
Interactive Learning Environments ( IF 3.7 ) Pub Date : 2021-05-26 , DOI: 10.1080/10494820.2021.1931347
Susanne P. Lajoie 1 , Shan Li 1 , Juan Zheng 1
Affiliation  

ABSTRACT

Monitoring one’s learning activities is a key component of self-regulated learning (SRL) leading to successful learning and performance outcomes across settings. Achievement emotions also play an important part in SRL and consequently student learning outcomes. However, there is little research on how specific types of monitoring (i.e. Feeling-of-Knowing, Judgement-of-Learning) and achievement emotions jointly affect performance in clinical reasoning within computer simulated environments. In this study, we explored the joint predictive value of monitoring judgements and achievement emotions in medical students’ ability to make accurate and efficient clinical diagnoses using BioWorld, a computer-based learning environment designed to help medical students practice clinical reasoning skills. Multiple types of data (log files, verbal protocols, self-report questionnaires) from 27 students were analyzed using text mining and linear mixed-effects models. We found that feeling-of-knowing judgements positively predicted diagnostic efficiency whereas judgement-of-learning and the achievement emotion of anger negatively predicted diagnostic efficiency. Achievement emotion of pride positively predicted confidence in diagnosing the case correctly. This study not only provides theoretical and methodological insights but also alert medical instructors to the many dimensions of diagnostic performances and effective intervention strategies in clinical reasoning.



中文翻译:

元认知判断和情绪在计算机模拟环境下预测临床推理表现中的功能作用

摘要

监控学习活动是自我调节学习 (SRL) 的关键组成部分,可在不同环境中实现成功的学习和绩效成果。成就情绪在 SRL 以及学生的学习成果中也发挥着重要作用。然而,关于特定类型的监控(即知觉、学习判断)和成就情绪如何共同影响计算机模拟环境中临床推理的表现的研究很少。在本研究中,我们利用 BioWorld(一个旨在帮助医学生练习临床推理技能的基于计算机的学习环境)探索了监测判断和成就情绪对医学生做出准确有效的临床诊断的能力的联合预测价值。多种类型的数据(日志文件、口头协议、使用文本挖掘和线性混合效应模型对 27 名学生的自我报告问卷进行了分析。我们发现,知感判断正向预测诊断效率,而学习判断和愤怒的成就情绪负向预测诊断效率。自豪感的成就感正向预测正确诊断病例的信心。这项研究不仅提供了理论和方法论见解,还提醒医学指导员注意临床推理中诊断表现和有效干预策略的多个维度。我们发现,知感判断正向预测诊断效率,而学习判断和愤怒的成就情绪负向预测诊断效率。自豪感的成就感正向预测正确诊断病例的信心。这项研究不仅提供了理论和方法论见解,还提醒医学指导员注意临床推理中诊断表现和有效干预策略的多个维度。我们发现,知感判断正向预测诊断效率,而学习判断和愤怒的成就情绪负向预测诊断效率。自豪感的成就感正向预测正确诊断病例的信心。这项研究不仅提供了理论和方法论见解,还提醒医学指导员注意临床推理中诊断表现和有效干预策略的多个维度。

更新日期:2021-05-26
down
wechat
bug