Teaching and Learning Programming
Teaching and Learning Programming is a research topic within Computer Science Applications. Science Explorer counts 28k research works in it since 1950. 22.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on computational thinking in education, including topics such as programming education, educational robotics, the maker movement, learning analytics, gender differences in computer science education, tangible interfaces for learning, and the integration of computational thinking into K-12 curriculum. The papers explore various strategies to promote computational thinking skills and engagement in STEM education among students of different ages and backgrounds.
- Computational Thinking
- Programming Education
- Educational Robotics
- Maker Movement
- Learning Analytics
- Gender Differences
- Tangible Interfaces
- STEM Education
- K-12 Curriculum
- Scratch Programming
- Research works
- 28k fractional, since 1950
- In the world top 10%
- 6.3k per year above
- Top-10% rate
- 22.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +61% the tick is no change
Which countries lead Teaching and Learning Programming research?
By volume, the United States and Indonesia publish the most (2.1k and 367 works in 2022–2025).
By volume, 2022–2025
- 1 United States 2.1k works
- 2 Indonesia 367 works
- 3 China 360 works
- 4 Brazil 306 works
- 5 Germany 244 works
- 6 Türkiye 214 works
- 7 United Kingdom 195 works
- 8 India 188 works
- 9 Spain 161 works
- 10 Canada 160 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Teaching and Learning Programming research?
By volume in 2022–2025, North Carolina State University publishes the most Teaching and Learning Programming research, followed by University of Florida and University of Illinois Urbana-Champaign.
By volume, 2022–2025
- 1 North Carolina State UniversityUnited States 38 works
- 2 University of FloridaUnited States 37 works
- 3 University of Illinois Urbana-ChampaignUnited States 37 works
- 4 University of MichiganUnited States 28 works
- 5 Indonesia University of EducationIndonesia 27 works
- 6 University of California San DiegoUnited States 27 works
- 7 Education University of Hong KongHong Kong 26 works
- 8 University of Hong KongHong Kong 26 works
- 9 University of WashingtonUnited States 26 works
- 10 Michigan State UniversityUnited States 26 works
Who are the leading researchers in Teaching and Learning Programming?
The most-cited researchers publishing on Teaching and Learning Programming include Richard E. Mayer, Armando Fox and Roland Siegwart.
- 1 Richard E. Mayer United States 4.7k citations
- 2 Armando Fox United States 4.2k citations
- 3 Roland Siegwart Switzerland 3.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Teaching and Learning Programming research done?
The largest centres of Teaching and Learning Programming research in 2022–2025 are Beijing (China), New York (United States), Tokyo (Japan) and Bandung (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Tai Po.
Largest cities, 2022–2025
Where it is the local speciality
- Tai PoCN · 26.3 works26×
Location quotient: how much more of its research is in Teaching and Learning Programming than the world average.
Where is the best place to study Teaching and Learning Programming?
Among universities, judged by research, Education University of Hong Kong, University of Hong Kong and National Taiwan Normal University 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Education University of Hong KongHong Kong | 91.5 | 63.7% | 26.9× | 26 | +335.2% |
| 2 | University of Hong KongHong Kong | 76.1 | 59.8% | 4.5× | 26 | +171.5% |
| 3 | National Taiwan Normal UniversityTaiwan | 68.5 | 38.2% | 23.7× | 17 | +144.1% |
| 4 | North Carolina State UniversityUnited States | 68.1 | 19.6% | 10.3× | 38 | +137.1% |
| 5 | University of Eastern FinlandFinland | 65.2 | 46.4% | 12.6× | 16 | +19.7% |
| 6 | University of Illinois Urbana-ChampaignUnited States | 61.7 | 19.2% | 6.4× | 37 | +202.9% |
| 7 | Chinese University of Hong KongHong Kong | 61.5 | 64.5% | 3.2× | 15 | +75.9% |
| 8 | University of AucklandNew Zealand | 59.8 | 43.8% | 6.0× | 20 | +75.1% |
| 9 | University of FloridaUnited States | 59.4 | 20.6% | 5.4× | 37 | +1039.4% |
| 10 | Aarhus UniversityDenmark | 59.3 | 47.3% | 3.4× | 16 | +206.5% |
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 Teaching and Learning Programming research growing?
Output in 2018–2022 was 61% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Teaching and Learning Programming.
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.