College Students' curriculum achievement is an important index to measure their comprehensive quality, which can also reflect the quality level of higher education and teaching. How to improve the comprehensive quality of students and significantly enhance the competitiveness of the university has become the focus and difficulty of the education and teaching work in Colleges and universities. In this paper, with the help of big data, data mining technology, building a learning behavior model, which can comprehensively analyze the characteristics of students' group learning behavior, and formulate personalized education and teaching assistance programs for different student groups to help students improve their learning ability.

Lei Zhang. Comprehensive analysis of students' performance based on student comprehensive analysis model. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 4: 66-72. https://doi.org/10.25236/AJCIS.2020.030408.

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