pisco_log
banner

Research on the Design of an AI Career Path Recommendation System Based on MBTI from a Cross-Cultural Perspective

Yizhou Zhou, Yong Zhang, SijiaYu , Naijie Liu

Abstract


In the process of globalization, personalized career planning within a cross-cultural context has become a challenge, especially when seeking a balance between diverse cultural values and educational systems. This study aims to explore how to provide customized career planning advice in a cross-cultural environment through the design of an AI career path recommendation system based on the Myers-Briggs Type Indicator (MBTI). Utilizing artificial intelligence technology, and leveraging the large language model of OpenAIs ChatGPT combined with big data analysis, the system proposes career paths that align with usersMBTI types, academic backgrounds, grades, and hobbies, in accordance with their personal and cultural backgrounds. By integrating MBTI personality analysis, the research emphasizes the importance of understanding individual tendencies and cultural values in career planning and demonstrates the potential of AI in promoting cross-cultural career planning and educational pathway choices. The development of this system not only provides scientific and systematic support for us- ers to explore suitable career paths but also showcases its effectiveness and innovation in practical application through case analysis. This, in turn, advances individualspursuit of personalized and meaningful career development in diverse cultural environments.

Full Text:

PDF

Included Database


References


[1] Zhao W X, Peng M Y P, Liu F. Cross-cultural differences in adopting social cognitive career theory at student employability in PLS- SEM: the mediating roles of self-efficacy and deep approach to learning[J]. Frontiers in psychology, 2021, 12: 586839.

[2] Fatima N, Gul S, Ahmed J, et al. A rule-based machine learning model for career selection through MBTI personality[J]. Mehran Uni- versity Research Journal Of Engineering & Technology, 2022, 41(2): 185-196.

[3] Yanti N E, Surjono H D, Sunarto S. Development of Web-Based Information Media for Career Choice Recommendations According to Personality Type of MBTI[C]//International Conference on Online and Blended Learning 2019 (ICOBL 2019). Atlantis Press, 2020: 186-189.

[4] Ramachandran V, LoyaA, Shah K P, et al. Myers-Briggs Type Indicator in medical education: a narrative review and analysis[J]. Health Professions Education, 2020, 6(1): 31-46.


Refbacks

  • There are currently no refbacks.