Theoretical Innovation of value-led Mentorship Community for Outstanding Finance Talents in the ai Era: The "One-Core, Two-Wings, Three-Dimensions, Four-Loops" Model
International Journal of Development Research
Theoretical Innovation of value-led Mentorship Community for Outstanding Finance Talents in the ai Era: The "One-Core, Two-Wings, Three-Dimensions, Four-Loops" Model
Received 14th October, 2025; Received in revised form 09th November, 2025; Accepted 26th December, 2025; Published online 30th January, 2026
Copyright©2026, Xiaokun Guo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Generative AI is profoundly reshaping higher finance education, bringing opportunities such as personalized learning support and research efficiency improvement while posing challenges like vague value orientation, weakened humanistic care, and ethical risks in algorithm application. Against the backdrop of China’s "new quality productive forces" strategy and the demand for ethical and professional finance talents, this study aims to address the gap between technological empowerment and value guidance in current finance education. Through systematic literature review, theoretical integration, and expert consultation, this paper constructs an original "One-Core, Two-Wings, Three-Dimensions, Four-Loops" model for value-led mentorship communities. The "One-Core" focuses on fostering virtue through education; "Two-Wings" refer to the spirit of educators (value guidance) and AI technology (technical empowerment); "Three-Dimensions" include value leadership, academic progress, and emotional connection; "Four-Loops" involve goal alignment, interactive symbiosis, resource enhancement, and evaluation feedback. This model enriches the theory of "all-round education" in finance, provides a theoretical framework for balancing technological innovation and humanistic care, and offers actionable guidance for the transformation of mentorship relations in the AI era.