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掌握式学习与发明式学习:对模拟程序技能未来学习的影响。

Mastery versus invention learning: impacts on future learning of simulated procedural skills.

机构信息

Allan Waters Family Simulation Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.

Department of Medicine, University of Toronto, Toronto, Canada.

出版信息

Adv Health Sci Educ Theory Pract. 2022 May;27(2):441-456. doi: 10.1007/s10459-022-10094-x. Epub 2022 Mar 23.

Abstract

BACKGROUND

Invention and mastery learning approaches differ in their foundational educational paradigms, proposed mechanisms of learning, and potential impacts on learning outcomes. They also differ in their resource requirements. We explored the relative effects of 'invent and problem-solve, followed by instruction' (PS-I) learning compared to mastery learning (i.e., standards-based training) on immediate post-test and Preparation for Future Learning (PFL) assessments. PFL assessments measure learners' capacity to use their existing knowledge and strategies to learn about and solve novel problems.

METHODS

In this non-inferiority trial, pre-clerkship medical students were randomized to either PS-I, Mastery Learning (ML), or instruction then practice (CON) during simulation-based training of infant lumbar puncture (LP). After a 2-week delay, participants returned to learn and complete a PFL assessment of simulated Knee Arthrocentesis. Two independent raters assessed performances with a 5-point global rating scale.

RESULTS

Based on our non-inferiority margin, analyses showed that for both the immediate post-test and the PFL assessment, the PS-I condition resulted in non-inferior outcomes relative to the ML condition. Results for the CON condition were mixed with respect to non-inferiority compared to either PS-I or ML.

CONCLUSIONS

We suggest cautiously that the PS-I approach was not inferior to the ML approach, based on skill acquisition and PFL assessment outcomes. With ML anecdotally and empirically requiring more time, greater faculty involvement, and higher costs, our findings question the preference ML has received relative to other instructional designs, especially in the healthcare simulation community. We encourage researchers to study the educational and resource impacts of instructional designs using non-inferiority designs.

摘要

背景

发明和掌握学习方法在其基础教育范式、提出的学习机制以及对学习成果的潜在影响方面存在差异。它们在资源需求方面也存在差异。我们探讨了“发明和解决问题,然后进行指导”(PS-I)学习与掌握学习(即基于标准的培训)对即时后测和未来学习准备(PFL)评估的相对影响。PFL 评估衡量学习者使用现有知识和策略来学习和解决新问题的能力。

方法

在这项非劣效性试验中,在模拟婴儿腰椎穿刺(LP)的基础上,将预科医学生随机分配到 PS-I、掌握学习(ML)或指导后练习(CON)组。在两周的延迟后,参与者返回学习并完成模拟膝关节穿刺的 PFL 评估。两名独立的评估者使用 5 分制的整体评分量表评估表现。

结果

基于我们的非劣效性边界,分析表明,对于即时后测和 PFL 评估,PS-I 条件相对于 ML 条件产生了非劣效结果。与 PS-I 或 ML 相比,CON 条件的结果在非劣效性方面存在差异。

结论

我们谨慎地认为,根据技能获取和 PFL 评估结果,PS-I 方法并不逊于 ML 方法。鉴于 ML 经验上和经验上需要更多的时间、更多的教师参与和更高的成本,我们的发现质疑了 ML 相对于其他教学设计的偏好,尤其是在医疗保健模拟社区。我们鼓励研究人员使用非劣效性设计研究教学设计的教育和资源影响。

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