Thứ Năm, 14 tháng 5, 2026

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

0 nhận xét

 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.

Read more ►

Thứ Tư, 30 tháng 7, 2025

CALL FOR APPLICATION

0 nhận xét

 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 here: LINK

  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


Read more ►

Thứ Tư, 1 tháng 1, 2025

Quality Assessment for Distance Higher Education Programmes in Vietnam: Introduction, Benchmark and Lessons Learned

0 nhận xét

Quality Assessment for Distance Higher Education Programmes

in Vietnam: Introduction, Benchmark and Lessons Learned

Ho Dac Hai Mien

Vice-Director of Center for Education Accreditation, Vietnam National University - Ho Chi Minh City

PhD student, VNUHCM-University of Social Sciences and Humanities

 

Abstract

In the context of Industry 4.0 and the pandemic of Covid – 19, the quality of distance eduction in higher education institutions has been much concerned by stakeholders. This paper introduces distance education development and quality assessment standards for distance higher education programmes in Vietnam. The paper also provides benchmark between Code of Practice for Programme Accreditation: Open and Distance learning issued by Malaysian Qualifications Agency and Vietnam’s quality assessment standards for distance higher education programmes issued by the Ministry of Education and Training, from that the lessons are withdrawn for improvement. Some suggestions for the Ministry of Education and Training are also mentioned with hope to shorten the gap with international standards and to promote distance education quality improvement in Vietnam.

Keywords: accreditation, distance education, quality assessment

1. General introduction on distance education in Vietnam

1.1. Definition of distance education

In Vietnam, distance education is defined as “an education process in which the student and the teacher are mostly separated in time and place. By this mode of education, the students study through textbooks, video tapes, audio tapes, CD-ROMs, computer software, using personal audio-visual media, broadcasting radio, television, multimedia communication complexes and the internet under the management and support of the school” (MOET, 2003). This definition contains basic contents that UNESCO as well as other international institutions define about distance education. Distance education includes online education (with ≥ 80% of the content delivered online) and blended education (with 30 – 79% of the content delivered online), as well as modes of education using printed material delivered by post and/or other tools for bridging the distance. Distance education programmes have the same volume, content and structure as traditional programmes of the same major and level. The degrees are guaranted in legality and value as other forms of education by the government.

There are 4 methods of distance education: a) Mail: The programme is conducted mainly by mail through the main printed learning materials (textbooks, reference books, study guides, researches, workbooks, exam and test guides); b) Radio and television: The programme is mainly conducted through radio and television systems, in which the main learning materials are radio and television programme that are broadcast live or replayed on radio and television channels; c) Computer network: The programme is implemented mainly through computer networks, internet and telecommunications networks in which the main learning materials are electronic learning materials transferred over the network, the teaching is carried out online or offline; d) Combination: combine the above methods (MOET, 2017).

1.2. The history of distance education development in Vietnam

The history of distance education development in Vietnam can be divided into 2 periods of time: before and after 2009. Before 2009, there were not many research on distance education in Vietnam. Around 2003-2004, distance education in Vietnam attracted more attentions from many higher education institutions through many seminars and conferences on distance education held at school and national level. Vietnam has joined the Asia E-learning Network (AEN) with the participation of the Ministry of Education and Training, the Ministry of Science and Technology, the Ministry of Posts and Telecommunications and Ha Noi University of Science and Technology. Besides, some software companies in Vietnam launched a number of products to support training. Although these products were not perfect, they have initially contributed to promote the development of e-learning in Vietnam (Pham Hong Hanh & Ha Thanh Hoa, 2019).
After 2009, being invested by businesses and higher education institutions, distance education gradually has attracted the attention of many learners/students. In 2013, Hanoi Open University built an online training technology system, becoming the first university in Vietnam to provide a full e-learning programme which has put the foundation in distance education in higher education institutions until today.
At present, Vietnam has over 100 bachelor degree programmes under distance education mangaged by around 21 higher education institutions. The programmes include a variety of majors such as: business administration, accounting, finance - banking, information technology, law, English, Vietnamese studies, tourism…
2. Introduction on quality assessment standards for distance higher education programmes in Vietnam 
2.1. The legal foundation of the establishment quality assessment standards for distance higher education programmes in Vietnam.

In Vietnam, the policy of distance education development and information technology application has been early concerned, first shown on the Project "Development of distance education in the period 2005-2010" approved by the Prime Minister (2005). The Project mentioned the policy of developing and improving the quality of distance education; creating conditions for people, especially who live in remote areas with difficult socio-economic conditions for regular study and lifelong learning; that contributes to enhance the education level, professional and vocational skills; raises people's intellectual level and trains human resources for country industrialization and modernization. In 2015, the Prime Minister (2015) continued to promulgate the Project "Development of distance education for the period 2015-2020" which set a specific goal for all distance higher education programmes to be accredited by 2020. Higher education institutions conducting distance programmes are also encouraged to be accredited by reputable international accreditation agencies. To implement this Project, two legal documents have been issued including Circular No. 10/2017/TT-BGDDT dated on April 28, 2017 of the Minister of Education and Training on Regulation on distance learning at university level (MOET, 2017) and Circular No. 39/2020/TT-BGDDT dated on October 9, 2020 of the Minister of Education and Training stipulating standards/criteria for assessing the quality of distance education programmes at university level (MOET, 2020). These two main documents created a solid legal foundation for the development of distance education, as well as emphasized the important attention to quality assurance of this form of education.

In particular, Law No. 34/2018/QH14 promulgated on November 19, 2018 by the National Assembly (2018) has a remarkable point in which there are no differences in degree value between different forms of education. All requirements of outcome standards, programme content, teaching methods... of training programmes, no matter what forms of training are implemented, must ensure the same quality. This adjustment reflects the spirit of integration with global education, creating equality for learners, and emphasizes the important role of quality assurance for all types of training.

From the above bases, standards/criteria for assessing the quality of distance education programmes at university level were born, making the foundation for the quality assurance and accreditation of this type of education.

2.2. The structure of quality assessment standards for distance higher education programmes in Vietnam.

Highly influenced by AUN-QA's assessment at programme level (AUN-QA, 2015), the quality assessment standards for distance higher education programmes in Vietnam (below called Vietnam’s standards) has about 80% of the same content as the AUN-QA’s assessment (see Figure 1). The remaining 20% ​​is designed to be adapted with Vietnam education context and with the features of distance education programmes (especilly facilities, infrastructure and materials, as well as Programme Management).


Figure 1. Comparison between AUN-QA and Vietnam’s model

The Vietnam’s model (see Figure 1: the model on the right) includes the following eleven standards: (1) Expected Learning Outcomes; (2) Programme Specification, Structure and Content; (3) Teaching and Learning Approach; (4) Student Assessment; (5) Academic Staff; (6) Support Staff Quality; (7) Student Quality and Support; (8) Facilities, Infrastructure and Materials; (9) Programme Management; (10) Programme Quality Enhancement; (11) Output.

The model starts with stakeholders needs which are transfered into the expected learning outcomes which drive the programme. In the centre, there are four rows in which the first row addresses the question of how the expected learning outcomes are translated into the programme; and how they can be achieved through teaching and learning approach and student assessment.

The second row considers the "input" into the process including academic and support staff; student quality and support; facilities and infrastructure and materials; and Programmes Management.

The third row addresses the programme quality enhancement which requires to identify the methods to get feedback from stakeholders, to measure and to use feedback for improvement. The concept of PDCA (Plan, Do, Check, Act) is manipulated into the process of improvement.

The fourth row focuses on the output of the programme including pass rates and dropout rates, the average time to graduate, employability of the graduates, research activities and stakeholders’ satisfaction.

The final column addresses the achievements of the expected learning outcomes and the programme.

The model finishes with the fulfilment of stakeholders’ needs and the continuous improvement of the quality assurance system and benchmarking to seek best practices.

3. Benchmark with Code of Practice for Programme Accreditation: Open and Distance learning (COPPA: ODL - MQA)

According to my research, in countries of ASEAN, Malaysia, specifically Malaysian Qualifications Agency (MQA) has developed and applied Code of Practice for Programme Accreditation: Open and Distance Learning (COPPA: ODL) for accreditation and program audit purposes. The COPPA:ODL contains specific indicators and benchmark standards that will guide the institutions in the development, delivery, assessment as well as the monitoring and review of the ODL programme (Malaysian Qualifications Agency, 2019).

Compared with COPPA: ODL, the Vietnam’s standards are mostly the same in term of assessment domains (see Table 1) . Although the distribution/arrangement of criteria and sub-criteria is different, both focus on assessing these following main areas: Programme Development and Delivery, Student Assessment, Academic Staff, Student Support, Facilities and Materials, Programme Managment, Continual Quality Enhancement.

 

 

Vietnam’s standards

COPPA: ODL (MQA)

1. Expected Learning Outcomes

1. Programme Development and Delivery

2. Programme Specification, Structure and Content

1. Programme Development and Delivery

3. Teaching and Learning Approach

1. Programme Development and Delivery

4. Student Assessment

2. Assessment of Student Learning

5. Academic Staff

4. Academic Staff;

6.  Support Staff Quality

4. Academic Staff;

7. Student Quality and Support

3. Student Selection and Support Services;

8. Facilities, Infrastructure and Materials

5. Educational Resources;

9. Programme Management

6. Programme Management

10. Programme Quality Enhancement

7. Programme Monitoring, Review and Continual Quality Improvement.

11. Output

 

7. Programme Monitoring, Review and Continual Quality Improvement.

11 criteria, 55 sub-criteria

7 criteria/areas, 21 sub-criteria

Table 1. Comparison between Vietnam’s standards and COPPA: ODL (MQA)

Through benchmark with COOPA: ODL, there are some important and special points that Vietnam could learn as follows:
Firstly, COOPA: ODL emphasizes the sufficience in academic autonomy of the ODL programme department and staff in programme development and management. These points are clearly mentioned at sub-criteria: 1.2.1, 2.3.1, 4.2.2, 6.1.4 (see Table 2). However, this requirements have not been mentioned in Vietnam’s standards while academic autonomy is one of the basic and important requirement in higher education. 
 

A HEP is expected to have sufficient autonomy, especially over academic matters. Such autonomy must be reflected at the departmental level where the programme is being designed and offered.

1.2.1  The department must have sufficient autonomy to design the curriculum and to utilise the allocated resources necessary for its implementation.

2.3.1  The department and its academic staff must have an adequate level of autonomy in the management of student assessments.

4.2.2  The academic staff must be given sufficient autonomy to focus on areas of their expertise.

6.1.4  The academic board of the department must be an effective decision-making body with an adequate degree of autonomy”.

Table 2: Sub-criteria: 1.2.1, 2.3.1, 4.2.2, 6.1.4  (Malaysian Qualifications Agency, 2019)

Secondly, COOPA: ODL requires clearly the allignment between the programme with Malaysian Qualifications Framework (MQF) in some aspects, such as: learning outcomes; assessement principles, methods and practices (see Table 3). However, in Vietnam’s standards, there is only one standard (sub-criteria 1.2) that refers the allignment between programme learning outcomes and Vietnamese Qualifications Framework (VQF), but the related requirements do not show in detail how and what clusters of VQF learning outcomes should be assessed. This could make the institution and external assessors pay less attention on this allignment and then not assess exactly and specifically the allignment level.

1.1.4  The programme learning outcomes must correspond to an MQF level descriptors and the five clusters of MQF learning outcomes: i. Knowledge and understanding; ii. Cognitive skills; iii. Functional work skills; iv. Personal and entrepreneurial skills v. Ethics and professionalism; v. Ethics and professionalism.

2.1.1  Assessment principles, methods and practices must be aligned to the learning outcomes, consistent with the levels defined in the MQF.

Table 3: Sub-criteria: 1.1.4, 2.1.1 (Malaysian Qualifications Agency, 2019)

 

Thirdly, COOPA: ODL guildline shows clearly the relationship between criteria/areas and sub-criteria (for example sub-criteria 1.1.2 must be read together with sub-criteria 1.2.2 in Area 1 and 6.1.6 in Area 6…). This helps the institutions and external assessors have an overview picture of the matrix of criteria/areas and sub-criteria relationship, from which the quality of assessment/self-assessment become more comprehensive. I can not find this information in the Vietnam’s standards.

Finally, through the information I got from the conference “Education & Research in the COVID-19 Era” organized by  DESE Australian High Commission KL from 23 -25 August 2021, 336 ODL programmes (the statistics updated to 30 April 2021), including provisional accreditation and full accreditation, were assessed and accredited using COOPA: ODL (MQA, 2021). While, in Vietnam, although standards have taken effect from November 2020, however, there has not been any programmes assessed and accredited. The lack of clear processes and guildances for implementing the standards should be the main reason for this situation.

As it can be found that there are many similar points in context between Malaysia and Vietnam, Vietnam should do more research on distance education quality assessment in Malaysia, including how to build and apply the COPPA: ODL, from that good practices could be learnt for improvement.

4. Conclusion and suggestion for Vietnam
This paper introduced the situation of distance higher education, as well as the quality assessment standards for distance higher education programmes in Vietnam.  The paper also showed some important points withdrawn through benchmark/comparison between COPPA: ODA (MQA) and Vietnam’s standards. Some more suggestions for the Ministry of Education and Training in Vietnam are shown as follows:
-      Conduct more regional and international research on distance higher education assessment, from that they have scientific and practical basis for building up the quality assurance system for distance higher education programmes.
-      Build sufficiently guildlines on process, methods and instrument for distance higher education assessment.
-      Encourage institutions who are offerring distance programmes to build up and carry out quality assurance process to distance programmes. When the internal quality assurance process is implemented well enough, they can be ready for external assessment and be accredited. 
I believe that the above suggestions if being concerned by the Ministry of Education and Training will help Vietnam’s standards shorten the gap with international standards and improve the quality of distance programmes in higher education institutions.

References

AUN-QA. (2015). Guide to AUN-QA Assessment at Programme Level Version 3.0. ASEAN University Network.

Malaysian Qualifications Agency. (2019). Code of Practice for Programme Accreditation: Open and Distance Learning (COPPA; ODL).

MOET. (2003). Decision 40/2003/QD-BGDĐT dated 08/8/2003 promulgating regulations on organization of training, examination, assessment, granting certificates and graduation degrees in the form of distance education.

MOET. (2017). Circular No. 10/2017/TT-BGDDT dated April 28, 2017 promulgating the Regulation on distance learning at university level.

MOET. (2020). Circular 39/2020/TT-BGDDT dated October 9, 2020 of the Minister of Education and Training stipulating standards for assessing the quality of distance education programs at university level.

MQA. (2021, August 23). MQA update on quality assurance in the higher education sector in Malaysia with respect to online education. Quality Assurance in Online Higher Education in Australia and Malaysia. Education & Research in the COVID-19 Era.

National Assembly. (2018). Law No. 34/2018/QH14 promulgated on November 19, 2018 by the National Assembly on amending and supplementing a number of articles of the Higher Education Law.

Pham Hong Hanh, & Ha Thanh Hoa. (2019). E-learning Training in China and Experiences for Vietnam. 120–121.

Prime Minister. (2005). Decision No. 164/2005/QD-TTg dated July 4, 2005 approving the Project “Development of distance education in the period 2005–2010.”

Prime Minister. (2015). Decision No. 1559/QĐ-TTg dated September 10, 2015 approving the Project “Development of distance education in the period 2010–2020.”

 

A

 

 

Read more ►
 

Copyright © Inno AIQA-VN Design by O Pregador | Blogger Theme by Blogger Template de luxo | Powered by Blogger