Intelligent Tutoring Systems and Adaptive Learning
Intelligent Tutoring Systems and Adaptive Learning is a research topic within Artificial Intelligence. Science Explorer counts 21k research works in it since 1950. 20.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the effectiveness and impact of intelligent tutoring systems, exploring topics such as cognitive-affective interaction, meta-cognitive skills, knowledge tracing, student modeling, and adaptive learning environments. It also delves into the use of educational agents, Bayesian networks, and pedagogical strategies to enhance learning outcomes.
- Intelligent Tutoring Systems
- Affective States
- Cognitive-Affective Interaction
- Meta-cognitive Skills
- Knowledge Tracing
- Student Modeling
- Adaptive Learning Environments
- Educational Agents
- Bayesian Networks
- Pedagogical Strategies
- Research works
- 21k fractional, since 1950
- In the world top 10%
- 4.2k per year above
- Top-10% rate
- 20.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +13% the tick is no change
Which countries lead Intelligent Tutoring Systems and Adaptive Learning research?
By volume, the United States and China publish the most (993 and 872 works in 2022–2025).
By volume, 2022–2025
- 1 United States 993 works
- 2 China 872 works
- 3 India 514 works
- 4 Indonesia 213 works
- 5 Germany 201 works
- 6 Japan 153 works
- 7 United Kingdom 145 works
- 8 Canada 124 works
- 9 Australia 109 works
- 10 Türkiye 98 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 Intelligent Tutoring Systems and Adaptive Learning research?
By volume in 2022–2025, Central China Normal University publishes the most Intelligent Tutoring Systems and Adaptive Learning research, followed by Carnegie Mellon University and East China Normal University.
By volume, 2022–2025
- 1 Central China Normal UniversityChina 47 works
- 2 Carnegie Mellon UniversityUnited States 33 works
- 3 East China Normal UniversityChina 23 works
- 4 Beijing Normal UniversityChina 23 works
- 5 South China Normal UniversityChina 22 works
- 6 North Carolina State UniversityUnited States 19 works
- 7 Amrita Vishwa VidyapeethamIndia 19 works
- 8 University of Science and Technology of ChinaChina 16 works
- 9 Binus UniversityIndonesia 16 works
- 10 University of Illinois Urbana-ChampaignUnited States 16 works
Who are the leading researchers in Intelligent Tutoring Systems and Adaptive Learning?
The most-cited researchers publishing on Intelligent Tutoring Systems and Adaptive Learning include Richard E. Mayer, Robert J. Sternberg and Richard G. Baraniuk.
- 1 Richard E. Mayer United States 4.7k citations
- 2 Robert J. Sternberg United States 4.4k citations
- 3 Richard G. Baraniuk United States 4.4k citations
- 4 Herbert A. Simon United States 4.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Intelligent Tutoring Systems and Adaptive Learning research done?
The largest centres of Intelligent Tutoring Systems and Adaptive Learning research in 2022–2025 are Beijing (China), Wuhan (China), Shanghai (China) and Guangzhou (China).
Largest cities, 2022–2025
Where is the best place to study Intelligent Tutoring Systems and Adaptive Learning?
Among universities, judged by research, Central China Normal University, Education University of Hong Kong and Carnegie Mellon 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 | Central China Normal UniversityChina | 72.5 | 26.9% | 35.4× | 47 | +325.2% |
| 2 | Education University of Hong KongHong Kong | 71.8 | 60.3% | 15.8× | 12 | +143.4% |
| 3 | Carnegie Mellon UniversityUnited States | 63.8 | 41.4% | 15.6× | 33 | +1.5% |
| 4 | East China Normal UniversityChina | 56.9 | 34.0% | 9.2× | 24 | — |
| 5 | Abdelmalek Essaâdi UniversityMorocco | 55.3 | 15.2% | 17.1× | 15 | +449.1% |
| 6 | University of West AtticaGreece | 55.3 | 52.3% | 12.2× | 9 | — |
| 7 | Beijing Normal UniversityChina | 53.6 | 24.9% | 6.3× | 23 | +222.0% |
| 8 | Monash UniversityAustralia | 50.4 | 74.4% | 2.1× | 9 | +111.6% |
| 9 | Macao Polytechnic UniversityMacau | 48.4 | 21.9% | 20.5× | 9 | — |
| 10 | University of FloridaUnited States | 45.9 | 40.5% | 2.9× | 16 | +193.0% |
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 Intelligent Tutoring Systems and Adaptive Learning research growing?
Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Intelligent Tutoring Systems and Adaptive Learning.
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.