Research On The Evaluation And Promotion Strategy Of College Students' Deep Learning Ability In SPOC Blended Learning

With the rapid development of knowledge economy and information age,it has become an urgent task for China's education reform to cultivate new talents who can adapt to the learning society and meet the challenges of future work and life.Obviously,shallow learning is difficult to meet the demands of social development for new talents,while deep learning focuses on the all-round development of mind,and is becoming a powerful "gripper" to promote the high-quality development of future education,cultivate and improve learners' critical thinking ability,problem-solving ability and other deep learning ability.At the same time,education is gradually moving towards informatization and networking,and it is difficult for traditional face-to-face learning to achieve deep learning.However,with the rapid update and development of information technology,the construction of blended learning,which combines the advantages of traditional face-to-face learning and online learning,is becoming more and more mature,providing a strong foundation for the development of learners' deep learning and deep learning ability situational support,technical support,interactive support,resource support and learning evaluation support are favored by the majority of teachers and students,and have been recognized and promoted by many universities.So far,deep learning research has been carried out in full swing.The research of deep learning in blended learning has become a new perspective and direction,mostly focusing on pattern design and activity design.However,the targeted research on the evaluation of deep learning effect is less,which is not conducive to the continuous and effective development of deep learning.Therefore,how to evaluate the actual effect of deep learning in blended learning and how to improve the deep learning ability have become the urgent problems to be solved.It is of great significance to construct the evaluation model of deep learning ability in blended learning and explore the countermeasures to improve the deep learning ability.Based on this,this study takes "SPOC blended learning" as the background,closely around the four aspects of "what is the connotation of deep learning ability","from which elements to evaluate learners' deep learning ability","which factors affect the development of learners' deep learning","how to improve learners' deep learning ability",comprehensively adopts literature research,structural equation model analysis,questionnaire and statistical analysis,this study defines the evaluation elements of deep learning ability,constructs and verifies the evaluation model structure of deep learning ability,reveals the relationship between the constituent elements of deep learning ability and the predictive effect of the constituent elements on deep learning ability from an empirical perspective,and designs the evaluation of deep learning ability based on this.Finally,the paper puts forward some countermeasures and suggestions for improving the ability of deep learning.The specific research work and achievements are as follows:(1)In SPOC blended learning,the core elements of deep learning ability are screened,the influencing factors are analyzed,and the conceptual model of deep learning ability is determined.Under the guidance of deep learning theory,constructivist learning theory,multiple intelligences theory and humanistic learning theory,as well as the research on deep learning and deep learning ability at home and abroad,combined with the practice of SPOC blended learning in this study,the core elements of deep learning ability suitable for this study are determined as the evaluation elements,which is the construction of deep learning ability evaluation model build a solid foundation.(2)The construction,test and modification of the evaluation model of College Students' deep learning ability in SPOC blended learning.Firstly,based on the ontology of deep learning ability in SPOC blended learning,this paper constructs an evaluation model of deep learning ability,which includes nine primary evaluation elements,such as critical thinking ability and problem-solving ability.Then,it uses questionnaire survey to obtain actual data,and uses AMOS24.0 to analyze the structural equation model to test the fitting degree between the theoretical model and the actual data.Finally,based on the results of empirical data,the evaluation of deep learning ability is designed.(3)This study puts forward countermeasures and suggestions to improve College Students' deep learning ability in SPOC blended learning.Based on the revised final model,the relationship between the components,and the predictive effect of the components on deep learning ability,this paper puts forward nine development strategies from the perspectives of teachers,facilitators,and learners from the aspects of interpersonal ability,cognitive ability,and introspective ability respectively,which provides a reference for the improvement of deep learning ability and blended teaching effect.Under the guidance of the existing research and related theories,this study constructs the evaluation model of deep learning ability in SPOC blended learning,and puts forward the promotion countermeasures of deep learning ability.However,due to the limitations of researchers' own ability and research time,there are still some deficiencies in the research,which need to be further improved in the future research,in order to get more considerable research results.