Student Attention Modeling
Student Attention Modeling is a computational framework within learner engagement modeling that specifically characterizes the cognitive and behavioral focus of students during educational activities, distinguishing itself by quantifying moment-to-moment attentional states through multimodal data sources such as eye-tracking, neural signals, or interaction logs.
126
Publications
5.7K
Citations
424
Authors
184
Institutions
Publications per year
2017–2026
85
Parents
126
Zouheir Trabelsi, Fady Alnajjar, Medha Mohan Ambali Parambil et al. · Big Data and Cognitive Computing · 2023 · 181 citations · Full text
1–5 of 126
424
4
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
4 publications · 293 citations
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 424
184

Beijing Normal University
Beijing, China
5 h-index
21 publications
984 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
9 publications
540 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
889 citations
Central China Normal University
Wuhan, China
4 h-index
16 publications
381 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
8 publications
121 citations

University of Ljubljana
Ljubljana, Slovenia
3 h-index
6 publications
415 citations
University of Kaiserslautern
Kaiserslautern, Germany
3 h-index
13 publications
237 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
6 publications
481 citations
1–8 of 184
4 publications · 299 citations
4
h-index
3 publications · 56 citations
3
h-index
3 publications · 214 citations
3
h-index
DE · 2 publications · 56 citations
2
h-index
2 publications · 67 citations
2
h-index
1–5