Learning Analysis Path Construction and Empirical Research Based on Rasch Model in Electronic Schoolbag Environment

With the continuous development of the Internet + education, big data analysis technology, and learning analysis technology have attracted more and more attention. As a new medium of education informatization, electronic schoolbag has been widely concerned by everyone. However, after reviewing the researches in this field, it is found that most of the learning analysis functions of electronic schoolbags are still at the level of statistical test scores, which significantly limits students' understanding of their learning conditions, is not conducive to teachers' finding out students' problems, and restricts the development and improvement of the education platform. First, we reviewed the relevant research and discussion of the electronic schoolbag and the research status of the learning analysis system based on the electronic schoolbag by reading literature. Second, according to the characteristics of the Rasch model, combining the relationship among questions, knowledge points, and cognition, the learning performance analysis model and the learning dashboard generation model under the environment of electronic schoolbag are constructed according to the steps of learning analysis. Finally, the study performance analysis model is verified, and the monthly test data of the electronic school bag experimental school is processed, and the data is analyzed using the Rasch model analysis software. From the above data, the average knowledge point mastery level of each student, each class and grade and the status of each cognitive dimension ability are obtained, and the visual presentation is used to provide suggestions for teachers and students. It is found that the learning analysis model system based on the Rasch model can conduct great research and analysis on learners' knowledge mastery level and cognitive ability. The model system has a good promotion effect on learners and can be recommended for wider use.