Constructing and Exploring the Model of AI-Assisted Career Education for University Students

DOI: https://doi.org/10.62517/jhet.202515216

Author(s)

Cao Xiaoyuan, Wang Fei

Affiliation(s)

School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, Shandong, China

Abstract

This study explores innovative models of AI-assisted career education for university students and their practical potential to enhance the accuracy and effectiveness of career planning. the research employs a combination of literature review, theoretical model construction, and system design to analyze the current application of AI in education and its impact on career education. A smart career education model tailored for university students was developed, incorporating core elements such as intelligent data analysis, personalized learning pathways, and real-time feedback mechanisms. By collecting and analyzing relevant data, the model provides students with scientifically-based career choice recommendations. the findings indicate that AI-assisted career education not only enhances students' self-awareness and career adaptability but also better meets personalized needs and facilitates the transformation of learning outcomes. the results underscore the significance of intelligent technology in the advancement of new engineering disciplines and career education reform, offering valuable insights for future educational practices and policy formulation.

Keywords

Artificial Intelligence; Career Education; Model Construction; Practical Exploration; Intelligent Education

References

[1] Li Yan, Qi Ling, Chen Haiyong. Research on the training system of Artificial Intelligence professional Practice under the background of collaborative education [J]. Shanxi Youth, 2023(7):148-150. (in Chinese) [2] Sun Shizheng. Research on the Cultivation of innovative Compound talents of "Artificial Intelligence+Machinery" based on multi-dimensional drive from the perspective of new engineering [J]. Education research, 2021, 4(1):43-44, DOI: 10.12238/er v4i1.3561. [3] Xin Dandan. Exploration and practice of integrated education Mode of "Post Class Competition Certificate" for Artificial intelligence Major in Higher vocational colleges under the background of integration of production and education [J]. Computer Knowledge and Technology, 2024, 20(16):156-158. (in Chinese) [4] Wang Zhenyu, He Zhengbin, Yi Songlin. Exploration on the teaching reform of "Wood Drying Science" under the background of numerical intelligence [J]. China Forestry Education, 2024, 42(4):59-63. [5] Wan Houzhao, Lv Lin, Zhang Jun, et al. Construction and practice mode exploration of innovation and Entrepreneurship Community in new engineering [J]. Chinese Science and Technology Journal Database (Full text) Education Science, 2023(5):4. [6] Su Zhentao. Practice and Exploration of Artificial Intelligence Teaching Model under the CDIO concept [C]// Excellent Papers on Education Reform and Innovation of "Guangdong School Famous Teacher Cup" in 2022 (V). 2023. [7] Chen Wenbai, Wu Xibao, Wang Wansen. Innovative entrepreneurial intelligent science and technology professional engineering talents cultivation to explore and practice [J]. Journal of higher engineering education research, 2018(4):7. DOI: CNKI: SUN: GDGJ. 0.2018-04-014. [8] Wang Li. Data empowerment: Exploration and practice of mathematical precision teaching in primary schools supported by intelligent homework platform [J]. Education progress, 2025, 15(1):5. DOI: 10.12677/ae. 2025.151082.