Affective computing in education uses physiological and behavioral signals to sense learner emotion and adapt instruction β see affective-text-wearable-student-health, multimodal-affective-its-presentation, and kar-mathbuddy-affective-math-tutoring-2025. The wiki also documents emotional risks of AI interaction, including sycophantic-ai-social-interaction-2026 and shame-guilt-ai-regulation-computing-education.
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π 14 other pages tagged affective-computing
- A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
- Affective Tutoring
- AI-Driven Tools for Enhancing Campus Well-being: Prevention and Intervention
- An exploratory behavioral and electroencephalographic study of artificial intelligence-assisted learning modes in high school students
- An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
- Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model Using Grounded Theory
- Designing Needs- and Attention-Aware AI Learning Tools for Engineering Education: Insights from Psychological Outcomes
- Engagement Assessment in Video Learning
- Gaze-Informed Proactive AI Assistance for Childrenβs Picture Exploration
- Invisible Impact of Empathy on Behavioral Change: Isolating the Effect of Empathy in Long-term Physical Activity Coaching Chatbot Interactions
- MathBuddy: Affective Math Tutoring
- Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving
- Socially fluent AI decouples conversational signals from source identity in online interaction
- Sycophantic AI makes human interaction feel more effortful and less satisfying over time