Thứ Năm, 14 tháng 5, 2026

A Journey of Accompanying the InnoAIQA-VN Project: Spreading AI Knowledge in Higher Education Quality Assurance

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 Participating in the InnoAIQA-VN project as a mentor and a member of the training team, and accompanying groups from many universities across the country, was a very special experience for me. This was not only a professional activity on the application of artificial intelligence in higher education quality assurance, but also a journey of sharing knowledge, building connections, and working together to create practical values for Vietnamese education.



The training team presented certificates to the lecturers participating in the project

Most of the lecturers participating in the project came from quality assurance units of higher education institutions. Therefore, developing AI systems by themselves to directly support their professional work was a significant challenge. Many lecturers did not have a strong background in technology, programming, or AI system design. However, this made the project even more meaningful, because the goal was not only to create products, but also to help lecturers understand, master, and apply AI in a practical, effective, and responsible manner.

The training team took a commemorative photo with the lecturers participating in the project at Vietnam National University Ho Chi Minh City (Workshop 1)


The training team and the lecturers participating in the project took a commemorative photo at Tay Nguyen University (Workshop 2)

In Workshop 1, I provided guidance on foundational topics, ranging from basic concepts of AI and ways of thinking about AI applications in work, to methods for developing a personal AI assistant for specific tasks. Throughout the implementation process, I monitored the progress of the groups, supported them in solving technical difficulties, gave feedback on their ideas, and accompanied them step by step as they completed their products. What impressed me was that, although the groups had different starting points in terms of technology, their spirit of learning, perseverance, and desire to create practical value were very clear.


Guidance on developing a personal AI system at Workshop 1

I was particularly impressed by the team from Ton Duc Thang University with their product TCORA, a tool used to review programme learning outcomes based on the OBE philosophy. The product demonstrated careful preparation, high attention to detail, and strong alignment with practical needs in programme management. The team from Pham Van Dong University also left a strong impression on me through their systematic approach, with training courses focusing on ethics and effective and responsible use of AI, despite their limited infrastructure conditions. In addition, I could clearly feel the enthusiasm and aspiration of the University of Medical Technology and Pharmacy at Da Nang team to create technology-oriented products. For Lac Hong University, where I am currently working, the two chatbot products supporting students and lecturers in community service activities showed efficiency, applicability, and the ability to quickly implement AI solutions in a university environment.


Taking a commemorative photo with the poster of Pham Van Dong University

Taking a commemorative photo with the Lac Hong University team

In Workshop 2, I presented a paper on “Data Repositories in Quality Assurance”, focusing on the role of data in supporting QA managers to retrieve information more quickly, conduct better analysis, and make more accurate decisions. Through working with the groups, I became more aware that AI only becomes truly valuable when it is connected with structured data, specific workflows, and the practical needs of users. In the field of quality assurance, building a data repository not only helps reduce administrative workload, but also contributes to forming a culture of evidence-based decision-making.

Delivering a presentation at Workshop 2

Engaging in discussions with lecturers participating in the project

As a mentor, when I reviewed the reports and products of the groups, I experienced a feeling that was difficult to describe. In each product, I could see a part of my own contribution, not as someone who did the work for them, but as someone who accompanied them, opened up ideas, and shared methods so that the groups could create their own products. This gave me a great sense of pride, because personal knowledge, when shared in the right way, can spread, be transformed into community capacity, and create values that go beyond the scope of one individual or one institution.

Attending the reception hosted by Tay Nguyen University

Taking a photo with the project mentor from Germany, Benjamin Jung

Through the project, I also had the opportunity to connect with many colleagues from different regions of Vietnam. From online discussions and technical mentoring sessions to invitations to visit universities and share my experience, I could feel that an educational community was gradually being formed around the spirit of innovation, learning, and human-centered technology application. This was one of the greatest values that the project brought to me.


Sharing professional expertise at the University of Medical Technology and Pharmacy at Da Nang

Looking back on my journey with InnoAIQA-VN, I realize that the project brought me a great deal of joy, both spiritually and through practical experience. It helped me gain a deeper understanding of how to guide lecturers without strong technology backgrounds to create AI products that serve their own professional work. More importantly, the project created connections and formed a community that supports, shares, and promotes the application of AI in higher education quality assurance.

For me, InnoAIQA-VN is not only an AI project. It is a journey of spreading knowledge, awakening the creative capacity of lecturers, and opening up a new approach to improving the quality of higher education through technology, data, and collaboration.

By Le Truong

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A Journey of Learning, Sharing, and Growing with InnoAIQA-VN

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 Joining the Innovative Artificial Intelligence in Quality Assurance Management for Higher Education in Vietnam (InnoAIQA-VN) project under the DIES National Multiplication Training Programme was one of the most meaningful professional experiences I have had in recent years.

As a member of the training team, I initially saw my role as contributing knowledge and supporting participants in exploring AI applications in higher education. However, this journey became much more than training delivery—it became a shared learning experience.

What made this project special was its practical focus. AI is rapidly entering higher education in Vietnam, yet many institutions are still navigating how to use it responsibly and effectively. Through this project, we moved beyond theory and worked with participants to explore real applications in quality assurance, curriculum review, research, and academic management. Of course, the journey came with challenges. Participants came from different institutions with very different levels of digital readiness. Some had exciting ideas but limited technical confidence. Organizing activities across regions also required significant coordination and flexibility. But these challenges made the outcomes even more meaningful. The most rewarding part for me was seeing participants become multipliers themselves—organizing workshops at their own universities, training colleagues and students, and initiating collaborations across institutions. That was the moment I realized this project was not simply about AI training; it was about building a community of change agents. Personally, this experience reminded me that successful transformation in higher education is not driven by technology alone. It requires people, collaboration, institutional support, and a willingness to learn together.
As this chapter closes, I believe the impact of InnoAIQA-VN is only beginning. The conversations, collaborations, and ideas created through this project will continue to grow—and I am grateful to have been part of that journey.

By Thuy Nguyen
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InnoAIQA-VN Project: Workshop 2 “Application of AI in Quality Assurance in Higher Education: Opportunities, Challenges, and Ethical Aspects”

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 From May 7 to May 9, 2026, within the framework of the Innovative Artificial Intelligence in Quality Assurance Management for Higher Education in Viet Nam Project (InnoAIQA-VN), under the DIES – National Multiplication Trainings (NMT) 2025–2026 Program, Workshop 2, entitled “Application of AI in Quality Assurance in Higher Education: Opportunities, Challenges, and Ethical Aspects,” was held at Tay Nguyen University, Dak Lak Province.

Workshop 2 was attended by Assoc. Prof. Dr. Le Ngoc Quynh Lam, Director of the Center for Education Accreditation, Vietnam National University Ho Chi Minh City; Mr. Benjamin Jung, an AI expert from the University of Potsdam, Germany; Assoc. Prof. Dr. Le Duc Niem, Vice Rector of Tay Nguyen University; Dr. Duong Van Thinh, President of AI & Data Center Vietnam; MSc. Ho Dac Hai Mien, Deputy Director of the Center for Education Accreditation, Vietnam National University Ho Chi Minh City and Head of the InnoAIQA-VN Project; together with project members including Assoc. Prof. Dr. Le Phuong Truong from Lac Hong University, Dr. Nguyen Thi Huyen from the University of Science, Vietnam National University Ho Chi Minh City, and Dr. Nguyen Thi Thanh Thuy from Ho Chi Minh City University of Technology. Notably, Workshop 2 also brought together 20 lecturers, leaders, and educational managers from nine higher education institutions participating in the project nationwide.



Workshop 2 was one of the key activities of the InnoAIQA-VN Project. It was implemented to create an academic forum for discussion and practical sharing on the application of AI in quality assurance in higher education. Through thematic sessions, discussions, and group activities, the workshop aimed to connect leaders, managers, and experts in the field of quality assurance, while providing a space for higher education institutions to exchange experiences and identify opportunities, challenges, and ethical issues in applying AI to higher education.

This activity also contributed to realizing the overall goal of the InnoAIQA-VN Project, which is to enhance the capacity of leaders and managers at higher education institutions across the country to effectively integrate AI into quality assurance processes. In doing so, the project seeks to improve organizational efficiency, promote the ethical use of AI, and gradually establish a sustainable professional network to foster innovation in quality assurance management in higher education.

On the first working day, participants joined a series of in-depth thematic sessions focusing on core issues of higher education quality assurance in the context of digital transformation. The topics discussed included internal quality assurance systems at higher education institutions; AI competencies for learners and staff; ethics and challenges in AI application; the development of AI-integrated QA data repositories for program assessment and improvement; and issues related to data security and safety in the use of AI.





The working sessions created an open academic exchange environment, promoting connections between theory, management practice, and implementation experience at higher education institutions.

The second working day continued with discussions on AI policy and regulatory frameworks, international experience shared by Germany, and exchanges among higher education institutions in Viet Nam.


A highlight of the program was the talk show “Changes and Impacts of AI on Internal Quality Assurance in Higher Education in Viet Nam – Sharing Good Practices,” with the participation of experts and representatives of leaders from higher education institutions. The discussion provided diverse perspectives on the impact of AI on quality accreditation, data governance, decision-making support, and the development of a quality culture in higher education. Various practical implementation models, lessons learned, and ethical issues in AI application were also shared and discussed in depth.


In addition to academic activities, the workshop also included a field experience program entitled “Asset-Based Community Development: The Story of the Indigenous Coffee Value Chain in the Central Highlands.” This activity helped strengthen exchanges and connections among participants, while introducing cultural values and community development models associated with the distinctive identity of the Central Highlands region.

The final working day focused on project progress reporting by participating groups. Representatives of higher education institutions presented the results of AI application activities implemented at their institutions through reporting sessions and project poster exhibitions. The shared contents demonstrated diverse approaches and the potential for applying AI in management, quality assurance, and decision-making support at individual higher education institutions. This activity clearly reflected the spirit of cooperation, innovation, and mutual learning within the InnoAIQA-VN project community.

Workshop 2 concluded with a closing session and the awarding of certificates to participants. Both Workshop 2 and the overall InnoAIQA-VN Project were highly appreciated by participants not only for their updated and practical academic content, but also for their role in fostering connection, experience sharing, and the development of a professional community on AI in quality assurance in higher education in Viet Nam.

The InnoAIQA-VN Project has concluded an important phase of activities with many positive outcomes, while opening up expectations for the continued dissemination of innovative initiatives and the promotion of effective, responsible, and contextually appropriate AI applications in the digital transformation of higher education in Viet Nam.

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Thứ Bảy, 29 tháng 11, 2025

[InnoAIQA-VN Project] Workshop 1: Applying Artificial Intelligence in Quality Assurance for Higher Education

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 On the morning of November 26, 2025, the Center for Education Quality Accreditation – Vietnam National University Ho Chi Minh City solemnly opened Workshop 1 under the InnoAIQA-VN Project, themed “Artificial Intelligence Application in Quality Assurance for Higher Education.”

Workshop 1 marks the beginning of a series of capacity-building activities for quality assurance managers within the project “Artificial Intelligence Application in Quality Assurance for Higher Education (InnoAIQA-VN),” funded by DAAD under the DIES – National Multiplication Training (NMT) program.
The project aims to support Vietnamese universities in adopting new tools, new mindsets, and modern quality assurance models in the digital transformation era.


The event welcomed the participation of Ms. Xia Qin – NMT Program Coordinator, Center for Quality Development, University of Potsdam, along with 20 representatives who are quality assurance and management staff from 9 universities across Vietnam, stretching from the North to the South.
The diversity in academic disciplines—from engineering, medicine, and pharmacy to economics and multi-disciplinary institutions—painted a vivid picture of the need for innovation and commitment to quality development in higher education.
In her opening remarks, Ms. Hồ Đắc Hải Miên, MSc – Deputy Director of the Center for Education Quality Accreditation – VNU-HCM and Project Leader of InnoAIQA-VN, emphasized that AI is creating profound changes in education, requiring universities not only to update processes or tools but, more importantly, to transform mindsets and strengthen the capacity of quality assurance personnel.
She also acknowledged the proactive, serious, and eager-to-learn attitude of participating institutions.

Throughout the three working days, management staff joined training sessions on:

  • Applying AI in needs analysis and forecasting labor market trends;

  • Developing learning outcomes based on OBE;

  • Designing program frameworks, course structures, syllabi, examinations, rubrics, and digital learning materials;

  • Improving research quality;

  • Analyzing graduate outcome data;

  • Developing chatbots to support quality assurance monitoring;

  • Analyzing Self-Assessment Reports (SAR) and External Evaluation Reports (EQA).


The InnoAIQA-VN Project is expected to form a professional community network in AI-enabled quality assurance, promote best practices, and support universities in gradually building intelligent, sustainable IQA systems aligned with the needs of modern higher education.
The collaboration among DAAD, the University of Potsdam, the Center for Education Quality Accreditation – VNU-HCM, and Vietnamese universities is a crucial foundation for the success of Workshop 1 and the entire project.

The 09 Vietnamese universities participating in the InnoAIQA-VN Project include:

  • Hai Duong University of Medical Technology

  • Hai Phong University of Medicine and Pharmacy

  • Da Nang University of Medical Technology and Pharmacy

  • Pham Van Dong University

  • Tay Nguyen University

  • Ton Duc Thang University

  • Ho Chi Minh City University of Food Industry

  • Lac Hong University

  • An Giang University – VNU-HCM







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Thứ Tư, 30 tháng 7, 2025

CALL FOR APPLICATION

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 CALL FOR APPLICATION

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.

  1. 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.

  1. 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 hereLINK

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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/

  1. 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.

  1. 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..

  1.  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


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