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探索学生对学习环境偏好的学习梯度

Discovering the Learning Gradient of Students' Preferences for Learning Environment.

作者信息

Bak Carsten Kronborg, Schulin Simon, Krammer Jeanne

机构信息

Department of Social Work, University College of Southern Denmark, 6700 Degnevej, Denmark.

出版信息

J Intell. 2023 Oct 28;11(11):206. doi: 10.3390/jintelligence11110206.

DOI:10.3390/jintelligence11110206
PMID:37998705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10672633/
Abstract

The aim of this study was to examine the effects of online learning self-regulation on learning outcomes during the COVID-19 pandemic lockdown among university college students. Quantitative k-means cluster analysis was used to examine the relationship among students in three different clusters based on their preferences toward online learning. The results indicated that online learning self-regulation had a significant positive effect on learning outcomes due to the shift to online learning. Thus, we identified a "learning gradient" among students, showing that cluster 1 students (preferences for 100% online) have the most positive preferences toward online teaching and the highest degree of self-regulation and learning outcome, cluster 2 students (moderate preferences for both physical and online teaching) are mixed (both positive and negative experiences) and moderate self-regulation and learning outcomes while cluster 3 students (preferences for physical classroom teaching) have the most negative preferences and the lowest self-regulation and learning outcome. The results from this study show that students' self-regulated learning strategies during online teaching environments are important for their learning outcomes and that cluster 1 and 2 students especially profited from the more flexible online learning environment with organized and deep learning approaches. Cluster 3 students need more support from their educators to foster their self-regulation skills to enhance their learning outcomes in online teaching environments.

摘要

本研究的目的是考察在新冠疫情封锁期间,大学生在线学习自我调节对学习成果的影响。采用定量k均值聚类分析,根据学生对在线学习的偏好,考察三个不同类别学生之间的关系。结果表明,由于转向在线学习,在线学习自我调节对学习成果有显著的积极影响。因此,我们在学生中发现了一种“学习梯度”,表明第1类学生(偏好100%在线学习)对在线教学的偏好最为积极,自我调节程度和学习成果最高;第2类学生(对线下和在线教学都有适度偏好)体验好坏参半,自我调节和学习成果适中;而第3类学生(偏好实体课堂教学)的偏好最为消极,自我调节和学习成果最低。本研究结果表明,在线教学环境中,学生的自我调节学习策略对其学习成果很重要,第1类和第2类学生尤其受益于更灵活的在线学习环境以及有组织、深入的学习方法。第3类学生在在线教学环境中需要教育工作者更多的支持,以培养他们的自我调节技能,提高学习成果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/f4aa1617a21a/jintelligence-11-00206-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/fa42ef2da4af/jintelligence-11-00206-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/ace43356e8ce/jintelligence-11-00206-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/f4aa1617a21a/jintelligence-11-00206-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/fa42ef2da4af/jintelligence-11-00206-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/ace43356e8ce/jintelligence-11-00206-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10672633/f4aa1617a21a/jintelligence-11-00206-g003.jpg

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本文引用的文献

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Psychol Russ. 2022 Dec 30;15(4):170-187. doi: 10.11621/pir.2022.0411. eCollection 2022.
2
Students Can (Mostly) Recognize Effective Learning, So Why Do They Not Do It?学生(大多)能够识别有效的学习方法,那么他们为什么不这么做呢?
J Intell. 2022 Dec 16;10(4):127. doi: 10.3390/jintelligence10040127.
3
Initial impact of the COVID-19 pandemic on college student mental health: A longitudinal examination of risk and protective factors.
新冠疫情对大学生心理健康的初始影响:风险和保护因素的纵向研究。
Psychiatry Res. 2021 Nov;305:114254. doi: 10.1016/j.psychres.2021.114254. Epub 2021 Oct 30.
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Adolescent well-being and learning in times of COVID-19-A multi-country study of basic psychological need satisfaction, learning behavior, and the mediating roles of positive emotion and intrinsic motivation.新冠疫情期间青少年的幸福感和学习情况——一项基本心理需求满足、学习行为的多国家研究,以及积极情绪和内在动机的中介作用。
PLoS One. 2021 May 12;16(5):e0251352. doi: 10.1371/journal.pone.0251352. eCollection 2021.
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The use of metacognitive strategies for undisrupted online learning: Preparing university students in the age of pandemic.运用元认知策略实现无干扰在线学习:为疫情时代的大学生做好准备。
Educ Inf Technol (Dordr). 2021;26(6):6881-6899. doi: 10.1007/s10639-021-10518-y. Epub 2021 Apr 20.
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g versus c: comparing individual and collective intelligence across two meta-analyses.g 与 c:在两项荟萃分析中比较个体智能与集体智能。
Cogn Res Princ Implic. 2021 Apr 3;6(1):26. doi: 10.1186/s41235-021-00285-2.
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