Campus informatization has been constantly improved. The traditional education system can no longer meet the requirements of modern society. After the country introduced the policy of population birth, a large part of the students in the campus are only children. As the only child has been favored by the family since childhood, a fixed cognitive style has been formed in the way of thinking. In view of this kind of phenomenon, corresponding information platform for this education course has been established to facilitate teachers and parents to participate in the learning of the education curriculum. It not only eliminates the boring offline classroom, but also enables parents to keep abreast of the learning situation in time, and also participate in the learning of the curriculum with students. After establishing the education information platform, the information data of students, teachers and parents were analyzed. The highest accuracy in logic intelligence has reached 35%. The accuracy of language intelligence has been up to 20%, with high accuracy. It can quickly adapt to different learning environments and quickly analyze language logic.

Lina Gong. Strategies for Optimizing the Informatization Management Mechanism of Ideological and Political Education in Colleges and Universities in the Age of Artificial Intelligence. Frontiers in Educational Research (2023) Vol. 6, Issue 28: 84-94. https://doi.org/10.25236/FER.2023.062812.

[1] Luo P. Researches on ASP. NET-based education website development for ideological and political management of colleges and universities. Revista de la Facultad de Ingenieria, 2017, 32(11):960-966.

[2] Xia Y. Big data based research on the management system framework of ideological and political education in colleges and universities. Journal of Intelligent and Fuzzy Systems, 2020, 1(6):1-10.

[3] Zhu L. Research on the design and application of ideological and political education platform in colleges and universities based on Moodle. Journal of Intelligent and Fuzzy Systems, 2021, 1(3):1-8.

[4] Sun X, Zhang Y. Research on the framework of university ideological and political education management system based on artificial intelligence. Journal of Intelligent and Fuzzy Systems, 2021,1(5):1-10.

[5] Han W. Using Information Technology to Improve Ideological and Political Education and Student Management Efficiency in Colleges. Journal of Physics: Conference Series, 2020, 1533(2):022126 -022126(5pp).

[6] Dong W, Gao W, Zhang S. Effectiveness of Ideological and Political Education in Colleges and Universities under the Outbreak of Internet Media. Eurasia Journal of Mathematics Science and Technology Education, 2017, 13(11):7605-7610.

[7] Yin Z. Efficiency of public opinion in social network in the ideological and political education of college students. Agro Food Industry Hi Tech, 2017, 28(1):693-696.

[8] Chen T. Research on the Dilemma and Breakthrough Path of Ideological and Political Education in Colleges and Universities in the Era of Big Data. Journal of Higher Education Research, 2022, 3(2):203-206.

[9] Du Y. The Development of ideological and political education information platform based on web technology. C e Ca, 2017, 42(4):1530-1536.

[10] Huang X, Zhao J, Fu J. Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology. Journal of Intelligent and Fuzzy Systems, 2020, 40(2):1-12.

[11] Wang Q. Application of Clustering Algorithm in Ideological and Political Education in Colleges and Universities. Journal of Physics: Conference Series, 2021, 1852(3):032041-032041.

[12] Zhao J, Wang J. A design of college ideological and political education management system based on data mining technology. Revista de la Facultad de Ingenieria, 2017, 32(14):73-78.

[13] Zeng F, Liu L. Improving the Quality of Ideological and Political Education in Colleges and Universities in Big Data Age. Journal of Physics Conference Series, 2021, 1852(3):032034-032034.

[14] Wang Y. Ideological and political teaching model using fuzzy analytic hierarchy process based on machine learning and artificial intelligence. Journal of Intelligent and Fuzzy Systems, 2020, 40(6):1-13.

[15] Hou Y. Students' emotional analysis on ideological and political teaching classes based on artificial intelligence and data mining. Journal of Intelligent and Fuzzy Systems, 2020, 40(2):1-9.