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DIES National Multiplication Trainings 2025-2026

Topic: Innovative Artificial Intelligence in Quality Assurance Management for Higher Education in Vietnam (InnoAIQA-VN)

1. Program Background

Over the years, Vietnam’s higher education sector is rapidly evolving to meet global and regional standards, with an increasing emphasis on developing and implementing internal quality assurance (IQA) as a strategic component for enhancing institutional governance, fostering autonomy, and promoting continuous improvement across higher education institutions (HEIs). However, this process faces numerous challenges, including a lack of advanced tools, limited capacity for data-driven decision-making, and the very limitations of professional communities fostering innovation in QA practices.

Artificial Intelligence (AI) offers unprecedented opportunities to address these challenges and enhance the quality of higher education by automating routine QA tasks, analyzing large datasets for institutional improvement, optimization of accreditation and evaluation processes, and the promotion of transparency and efficiency in internal quality assurance (IQA) systems. Yet, despite the global trend toward integrating AI in higher education, its adoption in Vietnam remains limited due to a lack of specific practical guidelines and a supportive technical ecosystem tailored to domestic conditions.

To address this critical demand, the VNU - HCM Center for Education Accreditation (VNU-HCM CEA), in partnership with distinguished experts from Vietnamese universities, and with the esteemed support of the DIES (Dialogue on Innovative Higher Education Strategies) program—a collaborative initiative led by the German Academic Exchange Service (DAAD), the German Rectors’ Conference (HRK), and the University of Potsdam, Germany—has developed and launched the “Innovative Artificial Intelligence in Quality Assurance Management for Higher Education in Vietnam” (InnoAIQA-VN) program. This National Multiplication Training (NMT) initiative exemplifies the strategic adaptation of global innovations to response the specific requirements of Vietnam’s higher education system.

2. Program Objectives

1.  General Objective

To empower educational leaders and management staff in higher education institutions (HEIs) across Vietnam to effectively integrate Artificial Intelligence (AI) into internal quality assurance (IQA) processes; To develop a professional community on quality assurance and AI; promote experience sharing, innovation, and sustainable collaboration among universities in Vietnam.

2. Specific objectives:

• Equip participants with practical knowledge and advanced skills to apply AI tools in specific areas of quality assurance, such as program/curriculum development, database management for IQA, monitoring, and institutional research.

• Develop actionable, ethical, and context-relevant AI implementation guidelines tailored to the Vietnamese higher education landscape.

• Strengthen participants’ capacity to design, lead, and manage change projects that incorporate AI for improving QA processes.

• Establish a professional learning network to facilitate the exchange of best practices and innovations in AI-driven QA management.

• Address regional disparities in AI adoption by providing tailored support for HEIs with limited technological resources, particularly in underserved areas.

Please click the link below to apply:  LINK;   Appendix available here: LINK

3. Expected learning outcome

• 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 effectively utilize AI in quality assurance processes, these efforts aim to enhance access, equity, and inclusivity, enabling underprivileged institutions to improve their quality standards and better serve their communities.

4. Target Group

• Middle-level managers at institutes/faculties/departments/offices/centers (e.g., Quality Assurance Office, Testing Center, R&D Department, Training Institute, Faculty) or units responsible for quality assurance/IQA functions at higher education institutions (HEIs) (maximum of 3 participants per institution).

• Priority will be given to:

• Institutions located in disadvantaged, central, mountainous, or highland regions.

• Female candidates in leadership/management/coordination roles.

• Applicants with a change project idea that applies AI in quality assurance.

Notes: Participants should not have taken part in any DIES training (funded by DAAD) in the past.

4. Program Structure, Topics and Timeframe

Workshop I: 

• Date: 26th - 28th November, 2025 (3 days)

• Place: Ho Chi Minh City

• Topics:

• AI application for curriculum development and scientific research.

• AI application for quality monitoring and database management for IQA.

• Establishment of AIHE Community of Profession in quality assurance.

Online support phase: includes mentoring, supplementary training, and monthly progress sharing sessions from December 2025 to March 2026.

Workshop II: 

• Date: 10th - 12th April, 2026 (3 days)

• Place: Other Provinces (excludiing Ho Chi Minh City)

• Topics:

• Ethics and challenges in applying AI to quality assurance.

• Presentation of change projects by participants and sharing of practical experiences.

5. Application Requirements

• Fully filled “Change project application form” (Appendix 1). The change project can be implemented individually or in groups (up to 3 members per group). Members of a change project team may come from one or multiple higher education institutions (HEIs).

• Curriculum vitae (CV) of one or more applicants including date and signed.

• Letter of commitment from the leadership of the HEI including date and signed (Appendix 2).

Note: The application must be submitted in Vietnamese or English. The training will be conducted in both Vietnamese and English.

6. Application Procedure and Key Dates

• Kick-off: August 2025 (online), with detailed registration guidance provided.

• Application deadline: From August 11, 2025, until 11:00 PM on September 14, 2025.

• Notification of selection results: Between October 6 and October 11, 2025, via email.

• All applications must be submitted through the online application form below: LINK

• Official website: https://iqadvanceteam.blogspot.com/

7. Selection Criteria 

• Relevance to AI and QA Objectives, feasibility, innovation, and potential impact of the change project.

• Participant Qualifications: Professional roles and experience, AI Knowledge or Willingness to Learn

• Support from institutional leadership and internal consensus.

• Regional and gender diversity.

8. Funding and Expenses

The program outlines the following funding and expense provisions:

• Training fees: Fully waived for all participants.

• Accommodation: Accommodation will be arranged for all participants during both contact phases in Ho Chi Minh City and other provinces.

• Meals: Participants will be provided with three daily meals throughout both contact phases.

• Travel expenses: Participants, or the nominating higher education institutions, are respectfully requested to cover travel expenses to and from the training locations and daily allowances during workshops..

9.  Contact

• Website: https://iqadvanceteam.blogspot.com/

• For more information, please contact: 

Huynh Huu Phuoc Tho (MA)

Center for Education Accreditation, VNU-HCM

Email: InnoAIQAVN@gmail.com; C.C.: hhptho@vnuhcm.edu.vn;

Mobile phone: (+84) 987109179