Research On Influencing Factors Of Students' Deep Learning In Universities Blending Courses

The NMC issued "Horizon Report" in 2017 and joint the Institute of Wisdom Study of Beijing Normal University released "China Higher Education Edition "Horizon Report"for the purpose of China's higher education technology application.In terms of trend that the key to the application of technology,the two files all mentioned that the occurrence of deep learning has become an important criterion for evaluating the success of a course from the tangible form of learning and learning space to intangible innovation the transformation of and deep learning concepts.At present,the opening of mixed-type classrooms has become very common in colleges and universities.On average,each student will take 3 mixed-use courses.How effective are these courses?Is there any deep learning in the learning process?Therefore,it is of great significance to explore the situation and influencing factors of deep learning in the mixed classroom of colleges and universities.It will also promote the construction and development of the mixed courses.This study is based on the practice of the "Art and Aesthetics" course at Central China Normal University in the online education platform of Wisdom Tree,using literature research and questionnaires,collecting and analyzing 235 students' deep learning situation and perception data of influencing factors of deep learning.The first part of this study investigates the current situation of deep learning in the mixed courses,depending on the definition of deep learning and his own teaching experience and students' learning feedback.In terms of knowledge construction,college students have the ability to process knowledge in-depth independently;in terms of learning-driven,the external environment's incentive for achievement motivation needs to be improved;in terms of learning behavior,combining online and offline promotes students' in-depth communication;in terms of ability acquisition,transferring and updating knowledge transfer capabilities to the creation and innovation capabilities need to pay more attention;in terms of emotions and values,the hybrid learning model will help students improve information literacy.On the whole,the current status of deep learning in colleges' hybrid curriculum has reached a medium level,but still a large space to develop.In the second part of this research,the author summarizes up the six dimensions that affect deep learning through factor analysis,motivation for learning(X1),online learning environment and guidance(X2),establishment of human relations(X3),teaching and management(X4),challenging stress(X5),self-management ability(X6).The author also established a regression model which includes influencing factors of deep learning:Y=0.314a*X1+0.161*X2+0.370a*X3+.251*X4+0.390*X5+0.094*X6.According to the model,the author gets the conclusions:?Challenging stress has the greatest impact on deep learning;?The establishment of human relations has a significant impact on deep learning;?The excitation of learning motivation is the driving source of deep learning;?teaching and management are direct influencing factors of deep learning;?online learning environment and guidance have a significant impact on deep learning;?self-management ability is the intrinsic driving force of deep learning.In the third part of this study,the author builds a strategy model for deep learning from both online and offline perspectives aiming mixed courses' features in colleges and universities.In addition,specific tactics are further elaborated,which has great reference value for the future construction and promotion of mixed-type courses in colleges and universities.