Abstract
In recent years, big data has been attracting attention in various fields, and Japanese institutions of higher education are also focusing on improving education based on the analysis of data accumulated in schools. Therefore, as an example of the application of big data analysis to mathematics education, we considered the mathematics exam score data accumulated at our college as big data and analyzed it. Another major objective is to obtain some knowledges about mathematics education for information engineering students. The software used for the analysis is the freeware statistical analysis software R. The analysis method used is covariance structure analysis, which represents correlations and causal relationships among observed variables as a well-fitting model. As a result, two models with good fit indices were created for the integrated data of multi-year exams, and it was found the learning items that have a significant impact on the later learning items in that data. Furthermore, it was also able to use one of the models to analyze the characteristics of a single-year data. It is thought that these results can contribute to mathematics education for information engineering course students.
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