武汉市在校生垃圾分类认知和行为调查研究——基于二元Logistic回归模型  被引量:1

Investigation on Cognition and Behavior of Garbage Classification of School Students in Wuhan——Based on binary Logistic regression model

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作  者:彭佳琪 徐璐 PENG Jiaqi;XU Lu(College of Education,Jianghan University,Wuhan,Hubei 430056)

机构地区:[1]江汉大学教育学院,湖北武汉430056

出  处:《科教导刊》2022年第7期151-154,共4页The Guide Of Science & Education

基  金:江汉大学本科生科研立项“武汉市在校生对垃圾分类认知和行为调查研究”,指导老师:徐璐

摘  要:基于武汉市颁布垃圾分类政策的背景,以问卷法对江汉大学200名学生进行实证调查,构建二元Logistic回归模型,分析在校生垃圾处理方式的影响因素,采用不记名的方式了解在校生对于垃圾分类相关理论知识的掌握情况。研究表明,大部分学生垃圾分类知识欠缺。在校生垃圾分类掌握度缺乏,回收设备、垃圾处理技术落后等变量对在校生日常生活中是否进行垃圾分类有显著影响。因此,提出了加大学校财政投入、改善校园硬件设施、开展垃圾分类课程等建议。Based on the background of the waste classification policy issued by Wuhan City,200 students of Jianghan University were investigated by questionnaire method,and binary logistic regression model was constructed to analyze the influencing factors of the waste treatment methods of the students,and anonymous method was used to understand the students’mastery of the relevant theoretical knowledge of waste classification.Research shows that most of the students are lack of garbage classification knowledge.Students’mastery of waste classification,lack of recycling equipment,backward waste treatment technology and other variables have a significant impact on whether students carry out waste classification in their daily life.Therefore,some suggestions are put forward,such as increasing financial investment,improving campus hardware facilities,and developing waste classification course.

关 键 词:分类知识 影响因素 二元Logistic回归模型 

分 类 号:G41[文化科学—教育学] X799.3[文化科学—教育技术学]

 

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