ปัญญาประดิษฐ์ในฐานะตัวเร่งการเปลี่ยนผ่านเชิงสถาบันของอุดมศึกษา

Nuttawat Chantarotorn; Piyalux Phetang; Supanya Chanpensre; Navaphorn Iamthirakul

Authors

Nuttawat Chantarotorn Faculty of Political Science, South-East Asia University
Piyalux Phetang King Mongkut's University of Technology North Bangkok
Supanya Chanpensre King Mongkut's University of Technology North Bangkok
Navaphorn Iamthirakul Faculty of Political Science, South-East Asia University

Keywords:

Artificial Intelligence, Institutional Transformation, Algorithmic Inequality

Abstract

This critical synthetic conceptual article examined the integration of artificial intelligence (AI) into higher education through a Structural-Critical AI Framework. The objective was to demonstrate that AI technology serves not merely as a tool for educational efficiency, but as a significant catalyst for complex institutional transformation with structural implications that challenge academic ethics. By integrating theoretical frameworks concerning technology acceptance, human capital, and digital inequality. The study unveiled the "algorithmic inequality" embedded within educational operating systems. The analysis revealed that, in the absence of proactive regulatory mechanisms, higher education institutions risk falling into a state of "institutional signaling," focusing solely on the appearance of modernization without substantive internal quality improvement. The author proposed a tri-level synergistic strategic approach: 1) at the national policy level, promoting intellectual sovereignty and localized learning platforms to reduce dependency on foreign technology; 2) at the institutional level, developing transparent, audit-ready algorithmic governance frameworks; and 3) at the individual level, systematically fostering critical AI literacy. This approach was essential for driving a sustainable digital university transition grounded in intellectual equity and data governance that prioritizes human agency over the pressures of mere efficiency.

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