Construction and Application of Knowledge Points Intelligent Analysis Model driven by data
The students'mastery of knowledge points is an important indicator of their learning situation,but also an important approach of personalizing their learning,which plays a key role in improving students'learning and teachers'teaching quality.Therefore,how to accurately diagnose and evaluate students'mastery of knowledge by intelligent means has become one of the current research hotspots.Students'mastery of knowledge is an important indicator of their learning status and an important way of personalizing their learning,which plays a key role in improving students'learning and teachers'teaching quality.Therefore,it has become one of the hot topics of current research to accurately diagnose and assess students'mastery of knowledge through intelligent means.This paper uses the Rasch model as the basis for research and data mining technology as the research tool.Based on the characteristics of the Rasch model to construct an analysis model of students'knowledge mastery level in an intelligent learning system.By mining students'examination results,the knowledge mastery of each student is accurately analyzed based on the test scores,thereby realizing personalized learning.By collecting and analyzing the results of two monthly physics exams in a certain school,the experimental results were processed and analyzed to draw relevant conclusions and further validate the feasibility of the model.
NETL
NSTL
万方数据
