Quality Assurance and Accreditation of Distance Education Programs in Vietnam: Rationale and Future Directions
Bibliographic record
Abstract
Distance and online education are popular training modes in the era of the Fourth Industrial Revolution and open education. Accreditation is one of the approaches that many countries across the world have implemented to assure the quality of higher education, including distance learning programs. This study investigates the rationale and future directions for quality assurance and accreditation of distance education programs in Vietnam. First, the paper presents concepts of distance education, and quality assurance and accreditation of distance education. Second, the research reviews experiences of implementing quality assurance and accreditation for distance education from several countries in the world. Next, the paper analyses the rationale for conducting accreditation of distance education programs in our country. Finally, the study proposes three groups of recommendations for the national quality assurance organization, accreditation agencies and higher education institutions to be able to implement the quality assurance and accreditation of distance education in Vietnam successfully. Keywords Quality assurance; Accreditation; Distance education; Online learning; Higher education References [1] UNESCO, Distance education in Asia and the Pacific: country papers, Volume III (Singapore - Vietnam), 2009. www.unesco.org/education/pdf/53-23c.pdf.[2] UNESCO, Open and distance learning: trends, policy and strategy considerations, 2002. http://unesdoc.unesco.org/images/0012/001284/128463e.pdf.[3] Owusu-Boampong, A. & Holmberg, C., Distance education in European higher education – the potential, UNESCO Institute for Lifelong Learning, International Council for Open and Distance Education and Study Portals B.V, 2015.[4] Australian University, Distance learning Australia, 2018. http://www.australianuniversities.com.au/distance-learning/.[5] Darojat, O., Nilson, M. & Kaufman, D., Quality assurance in Asian open and distance learning: policies and implementation, Journal of Learning for Development, Vol. 2, No. 2 (2015) 1. [6] Jung, I. & Latchem, C., Quality assurance and accreditation in distance education and e-learning: models, policies and research, Routledge, London, 2012.[7] Wang, Qi., Quality assurance - best practices for assessing online programs, International Journal on Elearning, Vol. 5, No. 2 (2006) 265. [8] Friedman, J., 10 facts about accreditation in online degree programs, U.S.News & World Report, February 9, 2017. https://www.usnews.com.[9] U.S. Department of Education., Accrediting agencies recognized for distance education and correspondence education, 2018. https://www2.ed.gov. [10] The Australasian Council on Open, Distance and e-learning (ACODE), Benchmarks for technology enhanced learning, ACODE, Canberra, 2014.[11] Bollaert, L., NVAO’s accreditation of online education in a nutshell, 2015. https://www.nvao.net.[12] Henderikx, P. & Ubachs, G., Quality assurance and accreditation of online and distance higher education, 2017. https://www.unic.ac.cy.[13] Stella A. & Gnanam, A., Quality assurance in distance education: The challenges to be addressed, Higher Education, Vol. 47, No. 2 (2004) 143.[14] Malaysian Qualification Agency (MQA), Code of practices for open and distance learning, MQA, Kuala Lumpur, 2013.[15] COL, DEMP & UNESCO, Quality assurance toolkit for distance higher education institutions and programmes, COL, Vancouver, 2009.[16] Vietnamnet, Mở đào tạo từ xa sẽ không cần cấp phép, 2017. http://vietnamnet.vn. [17] Tertiary Education Quality and Standards Agency (TEQSA), Quality assurance of online learning: discussion paper, TEQSA, Melbourne, 2017. [18] Nhân dân Điện tử, Phát triển đào tạo từ xa đúng hướng, 2017. http://www.nhandan.com.vn.[19] Nguyễn Hữu Cương, Một số kết quả đạt được của kiểm định chất lượng giáo dục đại học Việt Nam và hướng triển khai trong tương lai, Tạp chí Quản lý giáo dục, Tập 9 Số 8 (2017) 7.[20] Cục QLCL - Bộ GD-ĐT, Danh sách các CSGD đại học; các trường cao đẳng, trung cấp sư phạm, đã hoàn thành báo cáo tự đánh giá, được kiểm định, 2018 (dữ liệu cập nhật đến ngày 31/8/2018).[21] Cục QLCL - Bộ GD-ĐT, Danh sách các chương trình đào tạo được đánh giá/công nhận, 2018 (dữ liệu cập nhật đến ngày 31/8/2018).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.071 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".