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AI-ENABLED TRANSFORMATION OF ACADEMIC TRAINING GOVERNANCE:
A CONCEPTUAL FRAMEWORK FOR DIGITAL UNIVERSITIES

Nguyen Duc Vinh* 1

1 University of Economics Ho Chi Minh City, Vietnam.
(*E-mail: vinhnd@ueh.edu.vn)

ABSTRACT
The rapid expansion of Artificial Intelligence is transforming higher education
beyond pedagogical innovation, reshaping how academic training systems are governed.
While prior studies have focused on digital technologies and AI applications in teaching
and learning, the governance implications of AI-enabled digital ecosystems remain
insufficiently theorized. In particular, limited attention has been paid to how universities
restructure academic training governance in data-intensive and platform-based
environments.
Addressing this gap, this study develops a conceptual framework grounded in
institutional theory and digital governance. It proposes a four-pillar model: data
governance, digital platform governance, data-driven decision-making, and AI ethics
governance. These pillars form an integrated governance architecture that supports the
transition from administrative management to data-centric academic training governance.
To enhance analytical relevance, the study incorporates a contextual illustration
from a digitally advanced university environment, highlighting how governance
mechanisms operate in practice. The findings suggest that successful digital
transformation requires institutional restructuring that aligns digital infrastructures,
organizational processes, and ethical oversight. The study contributes to the literature by
conceptualizing governance as a central dimension of digital university transformation
and offers actionable implications for policy and institutional implementation.
Keywords: Artificial intelligence; higher education governance; digital
transformation; academic training governance; data governance; digital universities.

1. Introduction
The rapid advancement of digital technologies has transformed higher education
worldwide. Universities increasingly adopt digital platforms, online learning environments,
and data analytics to enhance teaching, learning, and institutional management. More
recently, the emergence of Artificial Intelligence has accelerated this transformation by
enabling automated decision-making, predictive analytics, and intelligent learning
systems. These developments reshape not only pedagogical practices but also the
academic training governance systems.
Digital transformation now extends beyond the adoption of technological tools. It
involves broader institutional change, including the restructuring of organizational
processes, decision-making mechanisms, and governance systems. As universities operate
in data-intensive and platform-based environments, traditional administrative models are
increasingly inadequate. Institutions must develop governance approaches capable of
managing digital infrastructures, large-scale data, and AI-enabled systems.
Existing research has examined the role of digital technologies in improving
teaching and learning. Studies focus on online platforms, digital learning environments,

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