乡村振兴战略下高职涉农专业学生在线深度学习:影响因素与提升路径  

Online Deep Learning for Vocational College Students Majoring in Agriculture under the Strategy of Rural Revitalization:Influencing Factors and Improvement Paths

作　　者：张秦 ZHANG Qin(School of Accountancy,Hunan Vocational College of Commerce,Changsha 410205,China)

机构地区：[1]湖南商务职业技术学院会计学院,长沙410205

出　　处：《科技和产业》2024年第21期176-181,共6页Science Technology and Industry

基　　金：湖南省教育厅科学研究项目(青年项目)(22B1000);湖南省自然科学基金(2023JJ60226)。

摘　　要：构建高职学生在线深度学习影响因素假设模型,采用结构方程模型进行模型验证。研究发现:高职涉农专业学生在线深度学习处于中等水平,仍有较大提升空间,并在性别和年级上均存在显著性差异;高职涉农专业学生在线深度学习受学生因素、教师因素、交互因素与环境因素的影响,其中,学生因素和教师因素为主要因素,交互因素和环境因素为次要因素。应从学生、教师、交互与环境4个层面提升高职涉农专业学生在线深度学习水平。Constructing a hypothetical model for the influencing factors of online deep learning among vocational college students,and structural equation model was used for model validation.It is found that:vocational college students majoring in agriculture are at a moderate level in online deep learning,and there is still significant room for improvement,with significant differences in gender and grade levels.Online deep learning of vocational college students majoring in agriculture is influenced by factors such as student,teacher,interaction,and environmental factors,among them,student and teacher factors are the main factors,while interaction and environmental factors are secondary factors.It is suggested to improve the online deep learning level of vocational college students majoring in agriculture from four aspects:students,teachers,interaction,and environment.

关 键 词：在线深度学习 影响因素 涉农专业 高职 乡村振兴 

分 类 号：G712[文化科学—职业技术教育学]