基于结构方程模型的WPBL学习效果评价

发布时间：2018-03-17 22:16

本文选题：WPBL教学　切入点：学习效果评价　出处：《中国卫生统计》2015年01期 　论文类型：期刊论文

【摘要】：目的基于结构方程的WPBL学习效果评价模型可以了解学生对于课程学习的效果评价以及相关因素对于学习效果的影响程度。方法基于学生自我评价视角,对广州医科大学2010级全科医学系及2011级康复医学系本科生进行随机抽样250名学生发放调查问卷获得数据,进行WBPL学习效果调查,对构成学习效果及其因果变量的相互关系进行分析和路径设计,构建WPBL学习效果评价模型,并借助SPSS20.0与AMOS20.0软件进行分析,证实修正模型4拟合度较好,使WBPL学习效果评价的结果更加合理、准确和可信。结果整体测量指标的标准化信度为0.970,说明此组数据具有很高的内在信度。选用修正模型4为最终模型,学习能力对WPBL学习效果评价的影响最大,学校应注重学生综合能力与素质的提升,使WPBL网络学习模式充分显现出自身的优势。结论本研究利用结构方程模型,对WPBL学习效果评价进行研究,通过分析,帮助教师制定相关的评价量表,进而为改进课堂教学提供指导。
[Abstract]:Objective the WPBL learning effect evaluation model based on structural equation can understand the effect evaluation of students' learning and the influence of relevant factors on the learning effect. Methods based on the perspective of students' self-evaluation. A random sample of 250 students from the Department of General Medicine of Guangzhou Medical University in 2010 and the Department of Rehabilitation Medicine of Class 2011 were collected from the questionnaire to obtain the data, and the results of WBPL study were investigated. Based on the analysis and path design of the relationship between the components of learning effect and its causality variables, the evaluation model of WPBL learning effect is constructed. With the help of SPSS20.0 and AMOS20.0 software, it is proved that the modified model 4 has a good fit degree. The result of WBPL learning effect evaluation is more reasonable, accurate and credible. Results the standardized reliability of the whole measurement index is 0.970, which indicates that the set of data has high intrinsic reliability. The modified model 4 is chosen as the final model. Learning ability has the greatest influence on the evaluation of WPBL learning effect. The school should pay attention to the improvement of students' comprehensive ability and quality, so that the WPBL network learning model can fully show its own advantages. Conclusion the structural equation model is used in this study. This paper studies the evaluation of WPBL learning effect, through analysis, helps teachers to formulate relevant evaluation scales, and then provides guidance for the improvement of classroom teaching.
【作者单位】：广州医科大学卫生统计教研室;
【基金】：广州市教育科学十二五规划课题(11A002)
【分类号】：G434

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