Adaptive Learning Control is a metacognitive regulation strategy that enables learners to dynamically adjust their cognitive processes and resource allocation in response to feedback, task demands, and performance outcomes to optimize learning efficiency and accuracy.
187
Publications
9.6K
Citations
400
Authors
181
Institutions
Publications per year
2017–2026
74
Parents
Publications
187
1–5 of 187
Authors
400
- ZH
14
h-index
- PT
10
h-index
- JL
10
h-index
- CM
7
h-index
- DS
6
h-index
1–5 of 400
Institutions
181
Xidian University
Xi'an, China
12 h-index
31 publications
1.3K citations
University of Rome Tor Vergata
Rome, Italy
11 h-index
31 publications
811 citations
Beijing Jiaotong University
Beijing, China
11 h-index
26 publications
1.5K citations
Qingdao University of Science and Technology
Qingdao, China
6 h-index
16 publications
352 citations
Zhejiang University
Hangzhou, China
6 h-index
11 publications
307 citations
National Yang Ming Chiao Tung University
Hsinchu, Taiwan
6 h-index
18 publications
1.1K citations
University of Science and Technology Beijing
Beijing, China
6 h-index
14 publications
706 citations
South China University of Technology
Guangzhou, China
5 h-index
10 publications
1.8K citations
1–8 of 181
Venues
- IEEE Transactions on Neural Networks and Learning Systems
15 publications · 1.2K citations
15
h-index
- International Journal of Robust and Nonlinear Control
IJRCEA · 8 publications · 277 citations
8
h-index
- Automatica
7 publications · 677 citations
7
h-index
- International Journal of Control
5 publications · 205 citations
5
h-index
- International Journal of Automation and Computing
4 publications · 98 citations
4
h-index
1–5