ARTIFICIAL INTELLIGENCE–DRIVEN INNOVATION IN UNIVERSITY STUDENT AFFAIRS GOVERNANCE: EVIDENCE FROM INNER MONGOLIA

Abstract

In the digital era, artificial intelligence (AI) is reshaping student affairs governance in universities of Inner Mongolia. This region features multi‑ethnic students (Mongolian and Han), bilingual education, and scattered student sources, which challenge traditional manual‑based management. The integration of AI into student affairs governance is reshaping higher education administration, particularly in regions with unique demographic and cultural characteristics such as Inner Mongolia. This paper explores how AI-driven technologies—including predictive analytics, intelligent counseling systems, and automated administrative platforms—are transforming student governance models in universities across Inner Mongolia. Through a review of regional educational policies, current AI applications, and governance challenges, the study identifies key innovations in student tracking, mental health support, academic advising, and resource allocation. It also addresses the theoretical basis of AI‑enabled governance, regional characteristics of Inner Mongolia, core applications including intelligent profiling and ethnic cultural education, and practical challenges such as the digital divide and algorithm bias. Findings indicate that while AI enhances efficiency, personalization, and equity in student affairs, significant barriers remain, including inadequate infrastructure, shortage of trained personnel, cultural-linguistic mismatches, and data privacy concerns. Despite challenges like talent shortage and data privacy risks, targeted strategies can enhance implementation. The paper proposes a multi-level strategy involving policy support, institutional capacity building, and the adoption of open-source, bilingual AI platforms such as DeepSeek. Special attention is given to the need for culturally responsive algorithms that accommodate Mongolian-language users and local social norms. The study concludes that AI provides a sustainable path for student‑centered, culturally inclusive governance in ethnic minority regions and that with strategic investments and ethical safeguards, AI can significantly improve student outcomes and institutional resilience in Inner Mongolia’s higher education system. Future research should focus on longitudinal impact evaluations and cross-regional comparative studies.