Chuanbao Peng, Jingyi Wei, Xi Gong, Yaqing Cao

Chuanbao Peng

Volume 21, Issue 12 (Part 2), 2025

College administrative teachers, Pursuing a doctoral degree, AI self-efficacy.

In the context of the connotative development of higher education and the in-depth implementation of the strategy of rejuvenating the country through science and education, administrative teachers in colleges and universities are facing significant pressure to improve their academic qualifications and career transformation. This paper aims to construct an integrated analysis framework corresponding to "reality driver-multi-dimensional dilemma-path optimization", and systematically explore the moderating effect of AI self-efficacy in it. The study found that the motivation of administrative teachers to study for doctoral degrees mainly stems from four aspects: institutional education threshold, career development demand, family responsibility drive and future uncertainty response. In the process of studying for a doctorate, they face four core dilemmas: entry threshold, engineering contradiction, physical and mental adaptation and cognitive renewal. Based on this, this paper proposes four optimization paths: further education path optimization, core capacity building, environmental support enhancement and digital technology empowerment. Theoretical analysis shows that AI self-efficacy, as a key psychological and ability variable, can play a positive moderating role in the above-mentioned "dilemma-effectiveness" path by improving the efficiency of information processing, scientific research management and technology application, effectively relieving pressure and improving academic success rate. This study provides theoretical reference and practical enlightenment for supporting the professional development and team building of college administrative teachers.

© 2025, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license