Open Learner Modeling is a computational framework within personalized learning environments that explicitly represents and dynamically maintains a learner’s knowledge, skills, and preferences in an accessible and interpretable form, allowing learners to view, interact with, and influence the model’s content to support self-regulated learning.
75
Publications
3.6K
Citations
157
Authors
58
Institutions
Publications per year
2017–2026
29
Variants
Olm
Publications
75
1–5 of 75
Authors
157
- SB
17
h-index
- PB
8
h-index
- JG
6
h-index
- JK
6
h-index
- VD
5
h-index
1–5 of 157
Institutions
58
University of Birmingham
Birmingham, United Kingdom
13 h-index
29 publications
1.4K citations
University of Pittsburgh
Pittsburgh, United States
8 h-index
16 publications
558 citations
The University of Sydney
Sydney, Australia
6 h-index
10 publications
820 citations
University College London
London, United Kingdom
5 h-index
5 publications
196 citations
Austral University of Chile
Valdivia, Chile
5 h-index
5 publications
159 citations
University of Leeds
Leeds, United Kingdom
4 h-index
5 publications
284 citations
University of Canterbury
Christchurch, New Zealand
3 h-index
6 publications
420 citations
The University of Queensland
Brisbane, Australia
2 h-index
6 publications
225 citations
1–8 of 58
Venues
- International Journal of Artificial Intelligence in Education
12 publications · 1K citations
12
h-index
- IEEE Transactions on Learning Technologies
3 publications · 115 citations
3
h-index
- Computers and Education Artificial Intelligence
2 publications · 61 citations
2
h-index
- International Conference on Computers in Education
2 publications · 36 citations
2
h-index
- British Journal of Educational Technology
BJET · 2 publications · 109 citations
2
h-index
1–5