| 大学生体育学习偏好特征——基于学习风格理论的分析 |
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| 引用本文： | 孙福成,章迅.大学生体育学习偏好特征——基于学习风格理论的分析[J].四川体育科学,2013(6):52-55,65. |
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| 作者姓名： | 孙福成 章迅 |
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| 作者单位： | [1]南京农业大学体育部,江苏南京210095 [2]东南大学体育系,江苏南京211189 |
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| 基金项目： | 南京农业大学人文社会科学基金“体育学习困难大学生的心理分析及教学策略研究”（SK08034）; 南京农业大学教学改革研究项目“基于大学生体育学习风格的教学策略研究与实践”（2009Y051）的研究成果之一 |
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| 摘 要： | 在文献资料和调查访谈基础上,编制《大学生体育学习偏好量表》,该量表包含趋同和趋异、沉思和冲动、动机强弱、归因差异、肢体展现、异化需求、反馈两极性和反馈频率等八个维度,共32个题项,量表信效度指标良好。用该量表对500名大学生进行调查,结果表明：男、女大学生体育学习偏好的整体差异显著;不同专业大学生体育学习偏好无显著性差异;不同年级大学生体育学习偏好之间存在显著性差异。
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| 关 键 词： | 大学生 体育 学习偏好 特征分析 |
Characteristics of P.E. Learning Preference of College Students——Analyzing Base On Learning Style Theory |
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| SUN Fu-cheng;ZHANG Xun.Characteristics of P.E. Learning Preference of College Students——Analyzing Base On Learning Style Theory[J].Sichuan Sports Science,2013(6):52-55,65. |
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| Authors: | SUN Fu-cheng;ZHANG Xun |
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| Institution: | SUN Fu-cheng;ZHANG Xun;Dept. of P.E., Nanjing Agricultural University;School of P.E., Southeast University; |
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| Abstract: | On the basis of documents, materials, investigations and interviews, the research sets scale for P.E. learning preferences of college students. According to exploratory factory analysis, The results show that the scale contains eight dimensions—that is the tendency of convergence and divergence, The habit of contemplation and impulsion, strong and weak motivation, attribution distinctions, Body display, The demand for dissimilation, Polarization feedback and feedback frequency. Having come through many efficiency tests with remarkable results, The measuring tool Reaches the requirements of surveying. In addition, The final version of the scales are used in 500 college students. As the results indicate, there is a distinct difference between the P.E. learning preferences of male and female college students on the whole. The difference between students from different majors is not significant in their P.E. learning preferences in the mass. The difference between students from different grades is remarkable. |
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| Keywords: | College student Physical education Learning preference Characteristic analysis |
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