Sotiria Foutsitzi
Papers
1
Total Citations
8
H-Index
1
About
Sotiria Foutsitzi is a researcher at the intersection of affective computing, artificial intelligence, and education, exploring how emotion shapes human learning. Her work challenges the long-held separation between cognition and emotion, arguing that positive affective states are essential for optimizing educational outcomes. In her highly cited 2019 overview, "An overview of Affective Models and ICT in Education," she synthesizes how intelligent tutoring systems and ICT can detect and respond to learners' emotional states—paving the way for more empathetic, adaptive learning technologies. With over 8 citations on this foundational piece alone, Foutsitzi’s research has helped shift the conversation in educational technology from purely cognitive models to holistic, affect-aware systems. Her contributions are particularly relevant for designing AI-driven platforms that support student engagement, motivation, and well-being. By bridging affective science with human-computer interaction, Foutsitzi is shaping a future where machines not only teach, but understand how learners feel.
Research Focus
Key Achievements
Top Papers
- 1An overview of Affective Models and ICT in Education8 citations · 2019