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Topic · Artificial Intelligence

Educational Robotics and Engineering

Educational Robotics and Engineering is a research topic within Artificial Intelligence. Science Explorer counts 19k research works in it since 1950. 4.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on robotics programming education for elementary and junior high school students, university education, and mechatronics education. It emphasizes self-directed learning, creative activity, and the development of learning environments fostering creativity. The papers also discuss the educational effects of participation in robot competitions and the application of control engineering in teaching materials.

  • Robotics Programming
  • Education
  • Learning Environments
  • Engineering Design
  • Humanoid Robotics
  • Creative Activity
  • STEM Education
  • Control Engineering
  • Self-directed Learning
  • Robot Competition
Research works
19k
fractional, since 1950
In the world top 10%
874
per year above
Top-10% rate
4.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-6%
the tick is no change

Which countries lead Educational Robotics and Engineering research?

By volume, Japan and the United States publish the most (616 and 428 works in 2022–2025).

By volume, 2022–2025

  1. 1 Japan 616 works
  2. 2 United States 428 works
  3. 3 China 208 works
  4. 4 United Kingdom 110 works
  5. 5 Indonesia 92 works
  6. 6 India 68 works
  7. 7 Germany 55 works
  8. 8 France 51 works
  9. 9 Canada 36 works
  10. 10 Italy 35 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.

Japan: 36.3%United States: 25.2%China: 12.2%United Kingdom: 6.5%6 others listed: 19.8%36%largest
Japan616 · 36.3%United States428 · 25.2%China208 · 12.2%United Kingdom110 · 6.5%6 others listed337 · 19.8%

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

Which institutions lead Educational Robotics and Engineering research?

By volume in 2022–2025, The University of Tokyo publishes the most Educational Robotics and Engineering research, followed by Health & Medical Publishing Group and Kindai University.

By volume, 2022–2025

  1. 1 The University of TokyoJapan 27 works
  2. 2 Health & Medical Publishing GroupSouth Africa 26 works
  3. 3 Kindai UniversityJapan 18 works
  4. 4 Institute of Electrical and Electronics EngineersUnited States 16 works
  5. 5 University of St AndrewsUnited Kingdom 14 works
  6. 6 Tottori UniversityJapan 10 works
  7. 7 Kanagawa Institute of TechnologyJapan 10 works
  8. 8 Ritsumeikan UniversityJapan 9 works
  9. 9 Kyushu UniversityJapan 9 works
  10. 10 Kyoto UniversityJapan 8 works

Who are the leading researchers in Educational Robotics and Engineering?

The most-cited researchers publishing on Educational Robotics and Engineering include R. W. L. Jones.

  1. 1 R. W. L. Jones United Kingdom 8.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Educational Robotics and Engineering research done?

The largest centres of Educational Robotics and Engineering research in 2022–2025 are Tokyo (Japan), Beijing (China), Osaka (Japan) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Cape Town.

Largest cities, 2022–2025

  1. 1 Tokyo Japan 166 works
  2. 2 Beijing China 44 works
  3. 3 Osaka Japan 37 works
  4. 4 New York United States 35 works
  5. 5 Kyoto Japan 29 works
  6. 6 London United Kingdom 28 works
  7. 7 Cape Town South Africa 27 works
  8. 8 Paris France 20 works
  9. 9 Nagoya Japan 19 works
  10. 10 Shanghai China 17 works

Where it is the local speciality

  1. Cape TownZA · 26.6 works32×
← less than its size predicts1×more →

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

See Educational Robotics and Engineering on the map

Where is the best place to study Educational Robotics and Engineering?

Among universities, judged by research, Kindai University, The University of Tokyo and University of St Andrews 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%1%2%mean 0.2%fractional works in this node (log) →share in the world top 10% →Kindai University: 18, 1.8%The University of Tokyo: 27, 0.0%University of St Andrews: 14, 0.0%Ritsumeikan University: 8, 0.0%Institute of Electrical and Electronics Engineers: 16, 0.0%Tottori University: 10, 0.0%Kanagawa Institute of Technology: 10, 0.0%Kyushu University: 8, 0.0%Kyoto University: 8, 0.0%Kindai UniversityThe University of To…University of St And…Ritsumeikan 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 Kindai UniversityJapan 76.61.8%55.9×18 +4.4%
2 The University of TokyoJapan 50.70.0%11.2×27 -21.3%
3 University of St AndrewsUnited Kingdom 50.20.0%32.3×14 —
4 Ritsumeikan UniversityJapan 43.70.0%24.1×8 +28.2%
5 Institute of Electrical and Electronics EngineersUnited States 42.50.0%280.1×16 -18.9%
6 Tottori UniversityJapan 36.50.0%56.2×10 —
7 Kanagawa Institute of TechnologyJapan 34.10.0%248.8×10 -2.8%
8 Kyushu UniversityJapan 24.50.0%7.8×8 -6.3%
9 Kyoto UniversityJapan 11.60.0%5.5×8 -4.1%

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 Robotics and Engineering research growing?

Output in 2018–2022 was 6% lower than in 2013–2017, peaking in 2015. The fastest-growing topics are Educational Robotics and Engineering.

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.