Research And Application Of College Students’ Deep Learning Evaluation Model Based On SOLO Classification Theory

With the development and progress of society,surface learning has been difficult to meet the basic social requirements for talents.Deep learning pays attention to the cultivation of people with all-round development of mind,and it has received deep attention as a way of learning concept.It emphasizes that learners should incorporate new knowledge into their original cognitive structure on the basis of understanding and transfer their ability to solve practical problems in new problem situations.Teaching evaluation is an indispensable link in education,which has a certain role in promoting the occurrence of deep learning.However,there are some drawbacks in the evaluation of deep learning in China at present,and it is difficult to judge the level of students’ in-depth learning accurately and effectively.SOLO classification theory is a mature evaluation framework,which can divide students’ understanding level into specific and clear levels,and evaluate students’ deep learning level accurately and effectively.It can promote the occurrence of deep learning.Based on this,this paper constructs an evaluation model of College Students’ deep learning based on SOLO classification theory.The purpose is to provide some reference to the theory and practice of deep learning in higher education.Firstly,this study understands the status of deep learning evaluation through literature research,and studies deep learning and SOLO classification theory,which provides a solid theoretical basis for the construction of deep learning evaluation model for college students based on SOLO classification theory.Secondly,design each dimension index from the five levels of thinking structure of SOLO classification theory,which refer to the mature evaluation indexes at home and abroad.Then use expert evaluation method to revise the evaluation index system and test its reliability and validity.From the view of students,a questionnaire on the status of deep learning was compiled and its reliability and validity were tested by pre-survey.Finally,the empirical study of the evaluation model.Select specific cases and use the evaluation model of deep learning to evaluate them,the purpose is to understand the problems existing in college students’ deep learning and put forward the promotion strategies.The results show that students’ overall understanding level is not high,mostly in surface learning;students’ deep processing ability is insufficient and learning motivation is low;students’ problem solving ability is insufficient.In view of this,this study holds that it is an effective strategy to improve the level of deep learning to determine appropriate deep learning objectives according to learning conditions,to set multiple learning tasks for teaching content,to create real problem situations around learning topics,and to pay continuous assessment based on learning objectives.