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医学院良好的学习环境是医学生学习投入度的一个独立预测因素。

Good learning environment of medical schools is an independent predictor for medical students' study engagement.

作者信息

Huang Runzhi, Li Yuanan, Gong Meiqiong, Zhang Wei, Xian Shuyuan, Tang Jieling, Lu Bingnan, Yang Yiting, Jin Minghao, Qian Weijin, Liu Zhenglin, Ma Haonan, Wu Xinru, Yin Huabin, Liu Xin, Zhang Chongyou, Du Erbin, Lin Qing, Huang Zongqiang, Lin Min, Wang Xiaonan, Wang Yue, Chen Wenfang, Liu Yifan, Zhang Jie, Ji Shizhao

机构信息

Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.

Research Unit of Key Techniques for Treatment of Burns and Combined Burns and Trauma Injury, Chinese Academy of Medical Sciences, Shanghai, China.

出版信息

Front Med (Lausanne). 2024 Jul 31;11:1299805. doi: 10.3389/fmed.2024.1299805. eCollection 2024.

Abstract

BACKGROUND

Study engagement is regarded important to medical students' physical and mental wellbeing. However, the relationship between learning environment of medical schools and the study engagement of medical students was still unclear. This study was aimed to ascertain the positive effect of learning environment in study engagement.

METHODS

We collected 10,901 valid questionnaires from 12 medical universities in China, and UWES-S was utilized to assess the study engagement levels. Then Pearson Chi-Square test and Welch's ANOVA test were conducted to find the relationship between study engagement and learning environment, and subgroup analysis was used to eradicate possible influence of confounding factors. After that, a multivariate analysis was performed to prove learning environment was an independent factor, and we constructed a nomogram as a predictive model.

RESULTS

With Pearson Chi-Square test ( < 0.001) and Welch's ANOVA test ( < 0.001), it proved that a good learning environment contributed to a higher mean of UWES scores. Subgroup analysis also showed statistical significance ( < 0.001). In the multivariate analysis, we could find that, taking "Good" as reference, "Excellent" (OR = 0.329, 95%CI = 0.295-0.366,  < 0.001) learning environment was conducive to one's study engagement, while "Common" (OR = 2.206, 95%CI = 1.989-2.446,  < 0.001), "Bad" (OR = 2.349, 95%CI = 1.597-3.454,  < 0.001), and "Terrible" (OR = 1.696, 95%CI = 1.015-2.834,  = 0.044) learning environment only resulted into relatively bad study engagement. Depending on the result, a nomogram was drawn, which had predictive discrimination and accuracy (AUC = 0.680).

CONCLUSION

We concluded that learning environment of school was an independent factor of medical student's study engagement. A higher level of learning environment of medical school came with a higher level of medical students' study engagement. The nomogram could serve as a predictive reference for the educators and researchers.

摘要

背景

学习投入被认为对医学生的身心健康很重要。然而,医学院校的学习环境与医学生的学习投入之间的关系仍不明确。本研究旨在确定学习环境对学习投入的积极影响。

方法

我们从中国12所医科大学收集了10901份有效问卷,并使用UWES-S评估学习投入水平。然后进行Pearson卡方检验和Welch方差分析,以找出学习投入与学习环境之间的关系,并进行亚组分析以消除混杂因素的可能影响。之后,进行多变量分析以证明学习环境是一个独立因素,并构建了一个列线图作为预测模型。

结果

通过Pearson卡方检验(<0.001)和Welch方差分析(<0.001),证明良好的学习环境有助于提高UWES分数的平均值。亚组分析也显示出统计学意义(<0.001)。在多变量分析中,我们发现,以“良好”为参照,“优秀”(OR = 0.329,95%CI = 0.295 - 0.366,<0.001)的学习环境有利于学习投入,而“一般”(OR = 2.206,95%CI = 1.989 - 2.446,<0.001)、“差”(OR = 2.349,95%CI = 1.597 - 3.454,<0.001)和“糟糕”(OR = 1.696,95%CI = 1.015 - 2.834,= 0.044)的学习环境只会导致相对较差的学习投入。根据结果绘制了列线图,其具有预测辨别力和准确性(AUC = 0.680)。

结论

我们得出结论,学校的学习环境是医学生学习投入的一个独立因素。医学院校学习环境水平越高,医学生的学习投入水平越高。该列线图可为教育工作者和研究人员提供预测参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b29/11322046/ae446a79bbb2/fmed-11-1299805-g001.jpg

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