Author(s)

Lin Liu ¹

Affiliation(s)

¹ Business School, Taishan University, Taian, Shandong, 271000, China

Corresponding Author

Lin Liu

ABSTRACT

With the rapid development of digitalization and intelligentization (digital intelligence) technologies, the teaching reform of marketing courses in higher education faces new opportunities and challenges. Traditional teaching models, which are characterized by outdated content, weak practical teaching, and low student engagement, can no longer effectively meet the needs of society for cultivating marketing professionals in the new era. This study aims to explore the strategies for the teaching reform of marketing courses in higher education from the perspective of digital intelligence. By analyzing the application status and development trends of digital intelligence technology in the educational field, this research proposes strategies for updating teaching content, innovating teaching models, optimizing teaching methods, and reforming teaching evaluation mechanisms to construct a multidimensional and multi-level teaching reform system. Additionally, this study provides a reference for the implementation paths of teaching reform in higher education by combining pilot course reforms, university-enterprise cooperation, and practice-oriented teaching models. The research concludes that the application of digital intelligence can significantly improve teaching effectiveness, enhance students' practical skills and innovation capabilities, and lay a solid foundation for cultivating versatile talents who can adapt to the modern market environment.

KEYWORDS

Digital intelligence; Marketing courses; Higher education teaching reform; Teaching model innovation

CITE THIS PAPER

Lin Liu, Research on the Teaching Reform of Marketing Courses from the Perspective of Digital Intelligence. Transactions on Comparative Education (2025) Vol. 7: 1-8. DOI: http://dx.doi.org/10.23977/trance.2025.070101.

REFERENCES

[1] Zhang, Yanni, and Qamar Farooq. "Accounting reform of higher education: A social and managerial analysis in the era of digital intelligence." Frontiers in Management and Business 2.1 (2021): 95-100.
[2] Hu, Jiheng, Boya Liu, and Hao Peng. "Role of AI for application of marketing teaching–A research perspective." Journal of Intelligent & Fuzzy Systems 40.2 (2021): 3711-3719.
[3] Hu, Wenjing. "Exploration on Curriculum Teaching Reform of BOPPPS Model+ Smart Cloud Platform: Take Marketing as an Example." Curriculum and Teaching Methodology 5.11 (2022): 61-67.
[4] Meng, Wanrong, and Piyapong Sumettikoon. "The use of artificial intelligence to enhance teaching effectiveness in vocational education." Eurasian Journal of Educational Research 98.98 (2022): 266-283.
[5] Liang, Yanbing, and Jun Wu. "Research on the Method and Path of Embedding Artificial Intelligence into Higher Vocational Teaching Reform." artificial intelligence 6.18 (2023): 53-58.
[6] Xiaoyang, Huang, et al. "Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology." Journal of Intelligent & Fuzzy Systems 40.2 (2021): 3743-3754.
[7] Wu, Jun, and Yanbing Liang. "Empowering Vocational Education New Media Marketing Teaching Reform and Practical Exploration with AIGC." Journal of Education and Educational Research 6.2 (2023): 82-85.
[8] Ding, Yahong. "Performance analysis of public management teaching practice training based on artificial intelligence technology." Journal of Intelligent & Fuzzy Systems 40.2 (2021): 3787-3800. 

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