Assessment Quality in the AI Era: A Conceptual Framework for Academic Management in International Schools

บทคัดย่อ

Assessment quality in international schools is no longer only a technical issue of rubrics, moderation or examination security. Generative AI has made this problem more urgent because polished student products may conceal the learning process that produced them. The research gap addressed in this article is that current AI-assessment debates often focus on detection and integrity violations, whereas less attention is given to the systems through which schools manage assessment quality. This conceptual article synthesizes literature on academic integrity, educational leadership, organizational trust, stakeholder engagement, quality assurance and AI governance. It proposes a six-domain framework for academic management: policy coherence, assessment architecture, staff capability and calibration, AI governance, stakeholder role clarity and quality-assurance feedback loops. The framework is presented as a recursive management cycle rather than a checklist. Its main implication is that international-school leaders should not rely on surveillance or AI-detection tools alone, but should build defensible academic systems that make learning evidence visible, moderation decisions consistent and stakeholder expectations transparent.