Learning Analytics For Affect
Learning Analytics for Affect is a learning analytics approach that specifically integrates affective data—such as emotions, engagement, and motivation—to interpret and enhance educational experiences by systematically analyzing learners' emotional and cognitive states within digital learning environments.
5
Publications
332
Citations
23
Authors
12
Institutions
Publications per year
2017–2026
2
5
AI Grand Challenges for Education
Beverly Park Woolf, H. Chad Lane, Vinay K. Chaudhri et al. · AI Magazine · 2013 · 213 citations · Full text
Education, Educational Assessment, Educational Technology +17
Paul Joseph‐Richard, James Uhomoibhi, Andrew Jaffrey · International Journal of Information and Learning Technology · 2021 · 17 citations · Full text
1–5 of 5
23
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 23
12
California Southern University
Chandler, United States
1 h-index
1 publications
213 citations
SRI International
Menlo Park, United States
1 h-index
1 publications
213 citations

University of Notre Dame
Notre Dame, United States
1 h-index
2 publications
122 citations
Digital Science (United States)
Cambridge, United States
1 h-index
1 publications
17 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
213 citations
University of Ulster
Coleraine, United Kingdom
1 h-index
3 publications
51 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
213 citations
Columbia University
New York, United States
1 h-index
2 publications
122 citations
1–8 of 12
Conference · 1 publications · 61 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 213 citations
1
h-index
JMBL · 1 publications · 13 citations
1–4