Influencing Factors Analysis And Promotion Strategies Research On College Students' Deep Learning In Online Courses

Online courses,with MOOC as the mainstream trend,have promoted the curriculum reform and classroom revolution of the deep integration of information technology and teaching,realized the open sharing of high-quality course resources in colleges and universities,and laid a solid foundation for improving the quality of higher education.In the process of practice,there are some difficulties when many achievements are made.Especially in the process of online learning,it is difficult for college students to achieve deep learning due to various reasons,thus the quality of teaching and learning is affected.Therefore,it is a pressing task to analyze the influencing factors of deep learning of college students in online courses,the relationships among these factors,and the teaching strategies that can effectively promote deep learning,so as to promote the sustainable development of online courses.The purpose of this study is to promote the deep learning of college students in online courses,with 983 students from three universities in Zhejiang Province as the survey object,compile a scale of influencing factors of college students in deep learning in online courses,and use this scale Measurement of learning situation,then analyze the relationship between various influencing factors and propose corresponding promotion strategies,the study found :Firstly,based on the literature analysis method,it is concluded that the key influencing factors that affect college students' deep learning in the online course learning process mainly focus on six aspects : self-efficacy,metacognition,course perception,learning motivation,learning strategies,and interactive behaviors.According to Bandura 's ternary interaction theory,the above influencing factors can be summarized as personal factors,environmental factors and behavioral factors.Secondly,based on Bandura 's ternary interaction theory to develop a scale of influencing factors for college students ' deep learning in online courses.Afterexploratory factor analysis and confirmatory factor analysis,a formal scale of influencing factors of deep learning for college students in online courses was formed,which was composed of five subscales: self-efficacy of online learning,deep learning process,metacognitive ability,course perception and deep interactive behavior.Thirdly,through the analysis of the relationship between the influencing factors of deep learning in online courses,to construct the structural model of influencing factors of deep learning in online courses.Among them,the influencing factors of course perception as the antecedent variables of students entering the deep learning stage in online courses has a positive effect on deep learning motivation and deep learning strategies,network learning self-efficacy and metacognitive ability have a complete mediating effect,deep learning motivation has partial mediation effects,deep learning strategies have full mediation effects.Fourthly,to construct strategies to promote the occurrence of deep learning.First of all,it analyzes the structure of the path relationship of the influencing factors in online courses,and concludes the guiding role of course perception factors,the subjective role of personal factors,and the constructive role of behavioral factors.On this basis,it puts forward four teaching strategies to promote the deep learning of college students in online teaching: to establish teaching objectives with presupposition as the main and generation as the auxiliary,to select teaching contents with situational materials as the link intermediary,to carry out teaching activities with knowledge construction as the guide,and to carry out continuous online learning evaluation with the development of students as the goal.At last,based on the findings of this thesis,three suggestions for online teaching that promote deep learning for college students in online courses are proposed: Firstly,teachers should improve their teaching ability and shape the role of students' learning partners.Secondly,cultivate students' learning subject consciousness and autonomous learning ability.Thirdly,the online platform should meet the needs of personalized teaching and teaching research.