@article{4372,
  author = {Dongming Zhao,Xiaojie Ge},
  title = {University Education Model and its Value of Cultivating Students in the Perspective of Education Considering Association Rules Algorithm},
  journal = {Journal of Intelligent Computing},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jic/2025/16/1/19-27},
  url = {https://www.dline.info/jic/fulltext/v16n1/jicv16n1_3.pdf},
  abstract = {In today’s higher education institutions, the development of “big ideology” has become essential. From a macro
perspective, integrating “big ideology” into the classroom allows for better utilization of course resources and
improves the classroom atmosphere. It also makes the curriculum more relevant to students’ daily needs,
thereby better cultivating their moral qualities. Therefore, this study explicitly analyses the university education
model of nurturing students from the ideological and political education perspective, considering the
association rules algorithm and its value. The study optimizes the association rules algorithm, drawing inspiration
from the harmony search algorithm’s main ideas, and introduces the concept of “self-learning” for
students’ improvement, thereby enhancing the overall search capability of the group and delving into the
deficiencies in the analysis of students’ existing course grades. The study proposes an association rules algorithm
with self-learning capabilities, and the optimized performance of the association rules algorithm surpasses
that of the function algorithm. The comparative results indicate that the optimization can achieve the
ideal optimal solution of the reference function, and the proposed optimization significantly improves the
computational performance of the rules algorithm. The algorithm’s advantage increases considerably from
1000 rounds, and the network’s lifetime extends to 1600 rounds. Through testing, it is found that applying
association rules mining technology to analyze students’ academic performance helps identify the relationship
between course settings and course grades on the platform network, contributing to discovering essential
information hidden in the network. Universities should actively explore the model of ideological and political
education in practice and cultivate students, construct a “dual-platform and four-linkage” practical education
model considering the association rules algorithm under the perspective of “big ideology,” fully exert the
value of ideological and political education in practice, and promote effective reform and progress of ideological
and political education in universities.},
}