Innovative Artificial Intelligence in Quality Assurance Management for Higher Education in Vietnam (INNOAIQA-VN)

About the training:

The main goal of the training was to empower educational leaders and management staff in higher education institutions (HEIs) across Vietnam to effectively integrate Artificial Intelligence (AI) into quality assurance (QA) processes, thereby enhancing institutional performance, fostering ethical AI adoption, and building sustainable professional networks for innovation in QA management. The training aims to:

• Enhance participants’ understanding of the potential of AI to support and improve quality assurance practices in higher education.
• Support the development of practical and ethically grounded approaches for AI adoption in Vietnamese higher education institutions.
• Build institutional capacity for planning and implementing AI-enabled improvements in quality assurance systems.
• Foster professional collaboration and knowledge exchange on emerging AI applications and innovations in QA management.
• Promote inclusive AI adoption by addressing the needs and constraints of institutions with varying levels of technological readiness.

Expected learning outcomes:

By the end of the program, participants are expected to:

• Apply AI tools (e.g., data analytics, natural language processing…) to optimize specific quality assurance activities, such as academic program reviews, compliance monitoring, and reporting.
• Create institutional AI guidelines that address responsible use, data privacy, and ethical considerations in QA processes, aligned with national, international standards and the UNESCO Ethics of AI.
• Lead change projects by employing project management frameworks and strategies for integrating AI into QA systems, overcoming resistance, and ensuring scalability.
• Collaborate effectively to establish and sustain a professional learning network (with key members from the participants of this project and other relevant stakeholders) for sharing AI-based QA solutions, focusing on practical challenges and innovations.
• Tailor AI applications to address the unique challenges faced by their institutions, particularly those in rural, mountainous, and disadvantaged regions. By strengthening the capacity of leaders and administrators to utilise AI in quality assurance processes effectively, these efforts aim to enhance access, equity, and inclusivity, enabling underprivileged institutions to improve their quality standards and better serve their communities.

Target group:

The training is tailored for middle- and senior-level management staff from higher education institutions across Vietnam, including:

• Deans, department heads, and directors in central administrative units related to quality assurance, accreditation, and institutional research.
• Quality assurance managers and officers tasked with designing and implementing QA frameworks and processes.

Training dates:

• Workshop 1: Artificial Intelligence Application in Quality Assurance for Higher Education (From November 26 to November 28, 2025)

• Workshop 2: AI Use in Higher Education Quality Assurance: Opportunities, Challenges and Ethical Dimensions (From May 07 to May 09, 2026)