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英语课堂环境对学生学习方式的影响研究 |
Research on Influence of English Classroom Environment onStudents’Learning Styles |
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DOI: |
中文关键词: 英语课堂环境;学习方式;深度学习 |
英文关键词:English classroom environment,learning styles,deep learning |
基金项目:本文系无锡市教师发展学院“普通高中师资配备标准的研究”(项目编号:31000358)的成果之一。 |
作者 | 单位 | 曾家延 | 大理大学 | 彭傲楠 | 广州华夏职业学院 | 张斯雷 | 新疆师范大学 |
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中文摘要: |
该研究探索“双新”背景下高中英语课堂环境各要素对学生学习方式的影响。其收
集了来自我国沿海三个省份共 392 名高中生的调查数据,并对数据进行了单因素方差分析、偏
相关分析和逐层回归分析。研究发现:高中生所感知的英语课堂环境总体状况较为良好,尤其
在师生关系和创新维度上满意度较高;高中生的英语学习方式总体介于深层和表层学习之间,
更倾向于表层动机和深层策略;高中英语课堂环境与高中生的学习方式存在紧密关联。其中,
兴趣、竞争、选择维度是预测深度学习的重要指标,难度、竞争是预测表层学习的重要指标。基
于以上结果,该研究认为,有针对性地为不同学校、年级和性别的学生提供改进英语课堂环境
的方案,是推动高中学生学习方式转变、实现学生深度学习的重要举措。 |
英文摘要: |
This study tries to do research into the influence of the elements of English classroom environment on the learning
styles of high school students with the double reduction policy. It collected the survey from 392 high school students from Shang?
hai,Zhejiang,and Fujian. With one-way analysis of variance,partial correlation analysis and regression analysis employed,
this study has found that 1)there is a generally good English classroom environment perceived by high school students,and there
is a high level of satisfaction in the dimension of teacher-student relationship and innovation in particular;2)high school stu?
dents’learning styles tend to lie between deep learning and surface learning,and they are more inclined to surface motivation and
deep strategy;3)English classroom environment is strongly related to high school students’learning styles. Based on that,the
dimensions of interest,competition and choice of dimensions are important predictive indicators of deep learning while the dimen?
sions of difficulty and competition are important predictive indicators of surface learning. Based on these research findings,this
study thinks that the provision of the schemes for better English classroom environment to different schools,grades and the stu?
dents of different genders is an important measure to change the students’learning styles for the better and help them realize deep
learning. |
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