| With the wide coverage of online digital resources,learners are able to learn independently what they want to understand and master.However,learners themselves do not have a clear orientation of what they need when faced with the vast amount of learning resources.It is difficult for learners to quickly locate learning resources that meet the required knowledge content in a short period of time,and it often takes a lot of time in the search process,making learners inefficient in learning.To address the problems in the above situation,this study focuses on exploring learning aids that combine the knowledge mapping domain with the learning path recommendation domain.This study takes junior high school physics subject in compulsory education as the research object,constructs a junior high school physics knowledge map,and provides learning support for the majority of junior high school physics learners through the junior high school physics knowledge map.And on this basis,we design and implement a learning path recommendation system based on junior high school physics knowledge map,and the specific research contents of this paper are as follows:(1)Construction of junior high school physics knowledge map.Firstly,all junior high school physics knowledge is divided into five levels according to the textbook materials and subject experts’ suggestions.Secondly,the factual and conceptual knowledge of junior high school physics knowledge is extracted by using OCR technology.Finally,a middle school physics knowledge map containing 1056 knowledge nodes was constructed using a semi-automated approach with manual-based and Python algorithm as a supplement.(2)Design and implementation of a learning path recommendation system based on the knowledge graph.In this study,a learning aid system with B/S architecture is designed and implemented in order to combine the knowledge map and learning path recommendation.By traversing all knowledge points related to the retrieved knowledge points in the knowledge map,the learning paths are generated by arranging these knowledge points according to the hierarchical relationship and the degree of difficulty.In this way,the system achieves the function of quickly locating knowledge points and generating learning paths for understanding and mastering knowledge points,which helps learners save time in searching and retrieving knowledge points and screening learning resources,and improves learning efficiency.(3)Practical application and effect analysis of the system.This study verifies the efficiency and scientificity of the learning path recommendation system based on the knowledge map of junior high school physics through practical application.Three front-line physics teachers were selected to analyze the knowledge points contained in each of the three types of input information and to recommend learning paths for understanding and mastering the knowledge points.These teachers were compared with the system’s recommended learning paths using comprehensiveness and accuracy as evaluation criteria.The analysis of the system’s effectiveness showed that the system’s recommended learning paths for middle school physics points outperformed those recommended by new teachers and even surpassed those recommended by experienced teachers with many years of experience.The study concludes that the learning paths recommended by the middle school physics knowledge map are better than those recommended by new teachers and are similar to or better than those recommended by experienced teachers.Although the system has some limitations,it still has great advantages in assisting learning.Overall,the system can save learning time and cost for learners,resulting in faster understanding and mastery.Moreover,the construction of the knowledge map used in this study takes the knowledge map of junior high school physics as an example,which can provide a new idea and reference for the construction of knowledge maps of other basic subjects. |
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