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Topic · Education

Education and Vocational Training

Education and Vocational Training is a research topic within Education. Science Explorer counts 4.8k research works in it since 1959. 11.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role and impact of non-formal education, lifelong learning, and basic education reform in the postmodern era, with a focus on indigenous education, informal learning, educational technology, community development, and MOOCs. It also delves into social research related to educational policy and practices.

  • Non-formal Education
  • Lifelong Learning
  • Basic Education Reform
  • Indigenous Education
  • Informal Learning
  • Educational Technology
  • Community Development
  • MOOCs
  • Social Research
  • Educational Policy
Research works
4.8k
fractional, since 1959
In the world top 10%
533
per year above
Top-10% rate
11.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+47%
the tick is no change

Which countries lead Education and Vocational Training research?

By volume, Malaysia and China publish the most (229 and 224 works in 2022–2025).

By volume, 2022–2025

  1. 1 Malaysia 229 works
  2. 2 China 224 works
  3. 3 Indonesia 177 works
  4. 4 Philippines 163 works
  5. 5 Brazil 80 works
  6. 6 India 73 works
  7. 7 United States 68 works
  8. 8 Pakistan 32 works
  9. 9 Kenya 29 works
  10. 10 Nepal 21 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

Malaysia: 20.9%China: 20.4%Indonesia: 16.1%Philippines: 14.9%6 others listed: 27.7%21%largest
Malaysia229 · 20.9%China224 · 20.4%Indonesia177 · 16.1%Philippines163 · 14.9%6 others listed303 · 27.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Education and Vocational Training research?

By volume in 2022–2025, National University of Malaysia publishes the most Education and Vocational Training research, followed by Universiti Teknologi MARA and Sultan Idris Education University.

By volume, 2022–2025

  1. 1 National University of MalaysiaMalaysia 37 works
  2. 2 Universiti Teknologi MARAMalaysia 24 works
  3. 3 Sultan Idris Education UniversityMalaysia 24 works
  4. 4 University of Technology MalaysiaMalaysia 13 works
  5. 5 Universiti of Malaysia SabahMalaysia 13 works
  6. 6 University of MalayaMalaysia 12 works
  7. 7 State University of PadangIndonesia 11 works
  8. 8 Tribhuvan UniversityNepal 11 works
  9. 9 Universiti Putra MalaysiaMalaysia 10 works
  10. 10 Yogyakarta State UniversityIndonesia 10 works

Where is Education and Vocational Training research done?

The largest centres of Education and Vocational Training research in 2022–2025 are Kuala Lumpur (Malaysia), Shah Alam (Malaysia), Beijing (China) and Yogyakarta (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Kuala Lumpur and Shah Alam.

Largest cities, 2022–2025

  1. 1 Kuala Lumpur Malaysia 88 works
  2. 2 Shah Alam Malaysia 29 works
  3. 3 Beijing China 25 works
  4. 4 Yogyakarta Indonesia 18 works
  5. 5 Manila Philippines 18 works
  6. 6 Kathmandu Nepal 16 works
  7. 7 Kota Kinabalu Malaysia 14 works
  8. 8 Cebu City Philippines 14 works
  9. 9 Johor Bahru Malaysia 14 works
  10. 10 Padang Indonesia 13 works

Where it is the local speciality

  1. Kuala LumpurMY · 87.5 works27×
  2. Shah AlamMY · 29.2 works24×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Education and Vocational Training than the world average.

See Education and Vocational Training on the map

Where is the best place to study Education and Vocational Training?

Among universities, judged by research, Universiti Teknologi MARA, University of Technology Malaysia and National University of Malaysia score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 21.91%fractional works in this node (log) →share in the world top 10% →Universiti Teknologi MARA: 24, 25.3%University of Technology Malaysia: 13, 27.2%National University of Malaysia: 37, 14.9%Sultan Idris Education University: 24, 17.4%Universiti Sains Malaysia: 8, 24.9%Universiti Putra Malaysia: 10, 37.1%University of Malaya: 12, 17.2%Universiti Malaysia Sarawak: 8, 23.2%Northern University of Malaysia: 8, 21.1%Tribhuvan University: 11, 10.8%University of Techno…Universiti Teknologi…Sultan Idris Educati…National University …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Universiti Teknologi MARAMalaysia 78.725.3%23.4×24 +690.4%
2 University of Technology MalaysiaMalaysia 76.927.2%20.8×13 +501.9%
3 National University of MalaysiaMalaysia 76.214.9%45.5×37 +547.3%
4 Sultan Idris Education UniversityMalaysia 72.417.4%86.6×24 +410.8%
5 Universiti Sains MalaysiaMalaysia 68.124.9%10.7×8 +260.0%
6 Universiti Putra MalaysiaMalaysia 66.737.1%15.1×10 +52.8%
7 University of MalayaMalaysia 57.917.2%16.3×12 —
8 Universiti Malaysia SarawakMalaysia 55.423.2%46.8×8 —
9 Northern University of MalaysiaMalaysia 54.221.1%34.9×8 —
10 Tribhuvan UniversityNepal 44.310.8%18.6×11 —

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Education and Vocational Training research growing?

Output in 2018–2022 was 47% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Education and Vocational Training.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.