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开发和验证一种用于测量学生微学习环境的工具(MLEM)。

Development and validation of an instrument to measure the Micro-Learning Environment of Students (MLEM).

机构信息

Rehman College Of Dentistry, Peshawar, Pakistan.

Riphah International University, Islamabad, Pakistan.

出版信息

BMC Med Educ. 2023 May 31;23(1):395. doi: 10.1186/s12909-023-04381-3.

DOI:10.1186/s12909-023-04381-3
PMID:37259136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10233888/
Abstract

BACKGROUND

There are multiple instruments to measure different learning environments but no valid and reliable instrument is present for measuring the micro-learning environment. This study aimed to develop and validate an instrument to measure the micro-learning environment of students. Measuring the micro-learning environment can give insight into the real-life experiences of students and enlighten us about the disparity between taught, delivered, and learned curricula.

METHODS

Multi-institutional Mixed methods study design with consecutive qualitative and, quantitative components was used based on information processing theory. Literature review, results of semi-structured interviews, and focus group discussion were combined to develop a questionnaire. Content and response process validity were established followed by pilot testing, reliability calculation, and exploratory and confirmatory factor analysis.

RESULTS

A forty-nine-item preliminary draft instrument was reduced to a total of twenty-four items final instrument having five themes regarding teaching practices, learners support, competence in teaching, progressive faculty, and teaching environment. The values of SCVI/Ave and S-CVI/UA were calculated to be 0.92 and 0.62 respectively. Reliability was calculated to be 0.94. Fit indices values were within the normal range.

CONCLUSION

The instrument for measuring the micro-learning environment has excellent content, construct, response process validity, and reliability.

摘要

背景

有多种工具可以测量不同的学习环境,但目前还没有用于测量微观学习环境的有效且可靠的工具。本研究旨在开发和验证一种测量学生微观学习环境的工具。测量微观学习环境可以深入了解学生的真实体验,并使我们了解所教授、提供和学习的课程之间的差距。

方法

采用基于信息处理理论的多机构混合方法研究设计,包括连续的定性和定量部分。文献回顾、半结构化访谈结果和焦点小组讨论相结合,开发出一份问卷。内容和反应过程有效性得到确立,随后进行了预测试、可靠性计算、探索性和验证性因子分析。

结果

一个包含 49 个项目的初步草案工具被简化为一个总共 24 个项目的最终工具,该工具包含五个主题,分别是教学实践、学习者支持、教学能力、进步的教师和教学环境。SCVI/Ave 和 S-CVI/UA 的值分别计算为 0.92 和 0.62。可靠性计算为 0.94。拟合指数值在正常范围内。

结论

用于测量微观学习环境的工具具有良好的内容、结构、反应过程有效性和可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/7e500382b342/12909_2023_4381_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/d3e2f4b38adf/12909_2023_4381_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/dc60215b7346/12909_2023_4381_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/7e500382b342/12909_2023_4381_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/d3e2f4b38adf/12909_2023_4381_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/dc60215b7346/12909_2023_4381_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c69/10233888/7e500382b342/12909_2023_4381_Fig3_HTML.jpg

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