“互联网+”环境下大学生深度学习影响因素及模型建构研究

Research on Influencing Factors and Model Construction of College Students’Deep Learning under the Environment of"Internet+"

研究基于文献分析将深度学习划分为知识迁移和能力培养两个维度,使用AMOS软件建构深度学习影响因素的结构方程模型,探究大学生深度学习不同层面的影响因素。研究结果表明,学习反思和学习资源正向影响深度学习的知识迁移,学习投入、合作学习及学习评估正向影响深度学习的能力培养,学习动机与学习活动对深度学习无显著影响。实践中应从学习资源、合作学习、学习反思及学习评估等方面入手,促进大学生深度学习。

As an important branch of learning science,deep learning has received close attention from researchers both at home and abroad in recent years. The integration of education and information technology in the " Internet + " environment has created a new space for the exploration of deep learning research. This study divides deep learning into two dimensions of knowledge transfer and ability cultivation based on literature analysis. AMOS software is adopted to construct a structural equation model of influencing factors of deep learning,and explore the influencing factors of different levels of deep learning for college students. The final results show that learning reflection and learning resources among influencing factors positively affect the knowledge transfer of deep learning,learning engagement,cooperative learning,and learning assessment positively affect the ability cultivation of deep learning,and learning motivation and learning activities have no significant influence on deep learning. In practice,this study starts with aspects such as learning resources,cooperative learning,learning reflection,and learning assessment to promote deep learning for college students.