This study takes the course of Macroeconomics as a practical carrier, focusing on the deep integration of AI technology and the "teaching learning evaluation" system of higher education, and exploring the value-added logic and implementation path of students' professional competence. By conducting literature research to clarify core concepts and theoretical foundations, and combining empirical research methods to compare and analyze the differences in effectiveness between AI driven "teaching learning evaluation" closed-loop and traditional teaching models, a theoretical model of "AI empowering teaching learning evaluation → closed-loop dynamic linkage → professional competence enhancement" is constructed, and four major paths for professional competence enhancement are designed. The research results indicate that there has been a significant improvement in the four dimensions of professional cognition, professional practice, innovative thinking, and independent reflection. Research can provide a practical paradigm for the cultivation of professional competence in economic management courses, enriching the theoretical research on the integration of AI education and professional competence.

Mengya Shen, Tingjun Huang. Research on the Value-Added Path of Students' Professional Competence under the AI Driven "Teaching Learning Evaluation" Closed Loop——Taking Macroeconomics as an Example. International Journal of New Developments in Education (2025), Vol. 7, Issue 8: 57-63. https://doi.org/10.25236/IJNDE.2025.070809.

[1] Huang R H, Yang J F, Hu Y B. The Triple Realm of Smart Education: From Environmental Intelligence to Ecological Intelligence[J]. Modern Educational Technology, 2020, 30 (1): 5-12.

[2] Baker R S, Inventado P S. Educational Data Mining and Learning Analytics: An Updated Survey [J]. IEEE Transactions on Learning Technologies, 2014, 7 (1): 13-24.

[3] Li Z T. On the Essence, Path, and Implementation Conditions of "Teaching Learning Evaluation" Integration [J]. Education Measurement and Evaluation, 2022 (1): 5-11.

[4] Zhang C G, Li X. The cultivation path of vocational literacy for college students in the era of artificial intelligence [J]. Higher Education Research, 2021, 42 (5): 77-83.

[5] Liu S N Y, Huang B, Zheng L X, et al. The connotation, core elements, and application scenarios of AI empowered education [J]. China Electronic Education, 2020 (06): 1-7.

[6] Chen L, Lin S Y, Zheng Q H. Internet plus Education: A New Starting Point of China's Educational Informatization [J]. Research on Audio Visual Education, 2016, 37 (01): 5-10.

[7] Zhou Y L, Zhang B H, Yang J F. The practical evolution and theoretical exploration of intelligent education: based on the perspective of "technology education society" synergy[J]. Education Research, 2022, 43 (09): 115-126.

[8] Wang C X, Zhang J P. Ethical considerations and normative pathways for the application of artificial intelligence in education [J]. Education Research, 2021, 42 (07): 106-115.

[9] Yu S Q, Wang A X. Educational Reform in the Era of Artificial Intelligence [J]. Basic Education Reference, 2018 (04): 3-8.

[10] Gu X Q, Yi L Y, Zhu Z T. The Trend of Digital Education Resource Construction and Application [J]. China Electronic Education, 2013 (09): 1-7.