An Optimization Path for "Supervisor-Counselor" Collaborative Education in Universities Empowered by Large Language Models

Dongxia Wei; Qiaolian Wang

doi:10.54097/m1pg6g15

An Optimization Path for "Supervisor-Counselor" Collaborative Education in Universities Empowered by Large Language Models

Dongxia Wei, Qiaolian Wang

Academic Journal of Applied Sciences, (2026), Vol.2, No.1, pp.11-14

Published: June 2, 2026

DOI: 10.54097/m1pg6g15

PDF: Download Full Text PDF

Abstract

The deep integration of large language model (LLM) technology offers a transformative opportunity to break the long-standing zero-sum game dilemma in graduate "supervisor-counselor" collaborative education. This paper proposes a value orientation grounded in the concepts of "precision, synergy, integration, and symbiosis," and guided by the practical principles of "technological support, multi-stakeholder cooperation, resource sharing, and dynamic adjustment," to construct an optimized path system for university "supervisor-counselor" collaborative education in the context of LLMs. On this basis, it proposes reshaping a positive-sum game pattern featuring the deep integration of "academic and ideological-political education" under a fourfold guarantee of institution, platform, capability, and culture, thus providing an operable practical scheme for enhancing the management and service capacity of graduate education.

Keywords: Large language models, supervisor-counselor collaboration, precision education, human-machine symbiosis, positive-sum game

APA Citation: Dongxia Wei, Qiaolian Wang (2026). An Optimization Path for "Supervisor-Counselor" Collaborative Education in Universities Empowered by Large Language Models. Academic Journal of Applied Sciences, 2(1), 11-14. https://doi.org/10.54097/m1pg6g15

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