Author(s)

Huawei Wan ^1,2

Affiliation(s)

¹ School of Marxism, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China
² School of Marxism, Hubei University of Technology, Wuhan, Hubei, 430068, China

Corresponding Author

Huawei Wan

ABSTRACT

Big changes are taking place in China: big changes in business, society and the world view. These major changes require college students in the new era to strengthen the autonomy of learning, enhance the comprehensive competitiveness of college students, enhance the international competitiveness of the country, and promote the construction of cultural power. Aiming at the problems existing in the teaching of ideological and political courses in colleges and universities, this paper proposes a multi-level fuzzy evaluation model based on artificial intelligence. The experimental results showed that in the "smart" classroom, 45 students could do their own preview. Although many students lack the ability of independent learning, they can still be well guided in independent learning. Therefore, intelligent education can effectively guide students to self-study in ideological and political teaching in colleges and universities.

KEYWORDS

Ideological and political lessons, Fuzzy Evaluation, Teaching Strategy, Autonomous Learning

CITE THIS PAPER

Huawei Wan, Exploration of Teaching Strategies for Artificial Intelligence-Oriented College Students' Autonomous Learning. Journal of Artificial Intelligence Practice (2024) Vol. 7: 91-100. DOI: http://dx.doi.org/10.23977/jaip.2024.070411.

REFERENCES

[1] Xu B, Li D. Deep Thinking and Innovative Design of Professional Ideological and Political Education for Engineering Students in Local Universities in the New Era[J]. International Journal of Social Science and Education Research, 2019, 2(8): 55-60. 
[2] Zheng R, Zheng G. An artificial intelligence data mining technology-based evaluation model of education on political and ideological strategy of students[J]. Journal of Intelligent and Fuzzy Systems, 2020, 40(5): 1-12.
[3] Yinxiang Z. Efficiency of public opinion in social network in the ideological and political education of college students [J]. Agro Food Industry Hi Tech, 2017, 28(1): 693-696. 
[4] Li Q, Wu M, Han L. Multidimensional ideological and political education of college students based on the computer platform[J]. Agro Food Industry Hi Tech, 2017, 28(1): 871-875.
[5] Wu D, Shen H, Lv Z. An artificial intelligence and multimedia teaching platform-based integration path of IPE and IEE in colleges and universities1[J]. Journal of Intelligent and Fuzzy Systems, 2020, 40(115): 1-10.

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