Research On Learning Resource Recommendation Methods For Knowledge Level

With the development of information technology and the transformation of people's educational concepts,personalized learning and lifelong learning have received more and more attention.Although traditional classrooms have high teaching efficiency,there is a need to not take care of the knowledge level of each student,and it is difficult to realize the recommendation of personalized learning resources.Therefore,it is extremely urgent to carry out research on the recommendation method of learning resources for students' knowledge level.On the basis of combing the relevant literatures of "cognitive diagnosis" and "resource recommendation" at home and abroad,this paper combines cognitive diagnosis and collaborative filtering recommendation algorithms with the guidance of meaningful learning and mastery of learning theory,and proposes a knowledge-oriented level.Learning resource recommendation method,which mainly includes two stages of knowledge level diagnosis and learning resource recommendation.In the knowledge level diagnosis stage,cognitive diagnosis technology is used to construct cognitive models,test questions,generate expected answer patterns and determine learners' knowledge levels;learn resource recommendation stage,collect user preferences,find similar users,and recommend learning resources.In order to verify the effectiveness of the resource recommendation method for knowledge level,this method is combined with the traditional classroom to carry out teaching practice.The results show that the method can accurately diagnose students' knowledge level and recommend personalized learning resources,and the students' academic performance is significantly improved.