Cited by 371Intelligent Tutoring Systems and Adaptive LearningEmotion and Mood RecognitionOnline Learning and Analytics

Affect-aware tutors: recognising and responding to student affect

Woolf, Beverly, Burleson, Winslow, Arroyo, Ivon, Dragon, Toby, Cooper, David, Picard, Rosalind·2009·International Journal of Learning Technology

Abstract

Theories and technologies are needed to understand and integrate the knowledge of student affect (e.g., frustration, motivation and self-confidence) into learning models. Our goals are to redress the cognitive versus affective imbalance in teaching systems, develop tools that model student affect and build tutors that elicit, measure and respond to student affect. This article describes our broad approach towards this goal and our three main objectives: develop tools for affect recognition, interventions in response to student affect, and emotionally animated agents.

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Crossref · 10.1504/ijlt.2009.028804

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Authors
Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., & Picard, R.
Venue
International Journal of Learning Technology
Published
2009
Volume
4
Issue
3/4
Pages
129
ISSN
  • 1477-8386 (ISSN-L)
  • 1741-8119
OpenAlex
W2172071592
Cited by
371
References
93
Citations by year
2026: 13 · 2025: 13 · 2024: 13 · 2023: 17 · 2022: 22 · 2021: 22 · 2020: 21 · 2019: 28 · 2018: 33 · 2017: 32 · 2016: 31 · 2015: 25 · 2014: 30 · 2013: 23 · 2012: 27
FWCI
17.32
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Learning Technology (publishedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
student affect, affect recognition, affective computing, frustration, motivation, self-confidence, affective interventions

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