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Topic · Artificial Intelligence

Educational Technology and Pedagogy

Educational Technology and Pedagogy is a research topic within Artificial Intelligence. Science Explorer counts 25k research works in it since 1956. 3.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the application of artificial intelligence, machine learning, and deep learning in various aspects of education, including teaching evaluation, online education platforms, multimedia teaching, and physical education. It also delves into the intersection of artificial intelligence with technology such as Internet of Things, cloud computing, and data mining.

  • Artificial Intelligence
  • Teaching Evaluation
  • Online Education
  • Deep Learning
  • Multimedia Teaching
  • Internet of Things
  • Data Mining
  • Machine Learning
  • Physical Education
  • Cloud Computing
Research works
25k
fractional, since 1956
In the world top 10%
759
per year above
Top-10% rate
3.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+56%
the tick is no change

Which countries lead Educational Technology and Pedagogy research?

By volume, China and ?? publish the most (5.9k and 129 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 5.9k works
  2. 2 ?? 129 works
  3. 3 Indonesia 109 works
  4. 4 Malaysia 108 works
  5. 5 United States 108 works
  6. 6 India 103 works
  7. 7 Philippines 101 works
  8. 8 Thailand 71 works
  9. 9 South Korea 59 works
  10. 10 Japan 37 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.

China: 87.7%??: 1.9%Indonesia: 1.6%Malaysia: 1.6%6 others listed: 7.1%88%largest
China5,915 · 87.7%??129 · 1.9%Indonesia109 · 1.6%Malaysia108 · 1.6%6 others listed479 · 7.1%

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

Which institutions lead Educational Technology and Pedagogy research?

By volume in 2022–2025, Shandong Institute of Commerce & Technology publishes the most Educational Technology and Pedagogy research, followed by Wuhan Business University and China West Normal University.

By volume, 2022–2025

  1. 1 Shandong Institute of Commerce & TechnologyChina 57 works
  2. 2 Wuhan Business UniversityChina 52 works
  3. 3 China West Normal UniversityChina 44 works
  4. 4 Sichuan UniversityChina 39 works
  5. 5 Changchun UniversityChina 36 works
  6. 6 Nanning Normal UniversityChina 35 works
  7. 7 Chongqing Vocational Institute of EngineeringChina 32 works
  8. 8 Zhaoqing UniversityChina 32 works
  9. 9 Taishan UniversityChina 32 works
  10. 10 Guangzhou Vocational College of Science and TechnologyChina 31 works

Where is Educational Technology and Pedagogy research done?

The largest centres of Educational Technology and Pedagogy research in 2022–2025 are Beijing (China), Wuhan (China), Xi'an (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Hailar.

Largest cities, 2022–2025

  1. 1 Beijing China 334 works
  2. 2 Wuhan China 288 works
  3. 3 Xi'an China 259 works
  4. 4 Guangzhou China 253 works
  5. 5 Jinan China 198 works
  6. 6 Chengdu China 176 works
  7. 7 Shanghai China 166 works
  8. 8 Changchun China 152 works
  9. 9 Chongqing China 138 works
  10. 10 Harbin China 134 works

Where it is the local speciality

  1. HailarCN · 22.0 works173×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Educational Technology and Pedagogy than the world average.

See Educational Technology and Pedagogy on the map

Where is the best place to study Educational Technology and Pedagogy?

Among universities, judged by research, Wuhan Business University, ZhengZhou Shengda University Of Economics, Business & Management and Nanchang Institute of Science & Technology 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 13.65%fractional works in this node (log) →share in the world top 10% →Wuhan Business University: 52, 2.9%ZhengZhou Shengda University Of Economics, Business & Management: 8, 39.3%Nanchang Institute of Science & Technology: 10, 18.6%Jilin International Studies University: 17, 22.0%Krirk University: 19, 16.1%Bohai University: 31, 0.5%Chongqing Vocational Institute of Engineering: 32, 3.3%Sanya University: 26, 10.2%Jiangxi Science and Technology Normal University: 23, 3.6%Dalian Polytechnic University: 12, 20.0%ZhengZhou Shengda Un…Jilin International …Nanchang Institute o…Wuhan Business Unive…
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 Wuhan Business UniversityChina 62.22.9%99.9×52 +237.9%
2 ZhengZhou Shengda University Of Economics, Business & ManagementChina 61.539.3%146.3×8 +40.0%
3 Nanchang Institute of Science & TechnologyChina 57.818.6%65.3×10 +1521.4%
4 Jilin International Studies UniversityChina 57.622.0%88.0×17 —
5 Krirk UniversityThailand 56.016.1%62.4×19 —
6 Bohai UniversityChina 53.20.5%44.0×31 +177.6%
7 Chongqing Vocational Institute of EngineeringChina 53.03.3%84.0×32 +128.6%
8 Sanya UniversityChina 52.710.2%31.0×26 —
9 Jiangxi Science and Technology Normal UniversityChina 52.43.6%46.1×23 +173.9%
10 Dalian Polytechnic UniversityChina 51.420.0%10.6×12 —

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 Educational Technology and Pedagogy research growing?

Output in 2018–2022 was 56% higher than in 2013–2017, peaking in 2024.

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.