Emotionally-Aware Intelligent Tutoring Through Affective Computing and Reinforcement Learning

DOI

10.2991/978-94-6239-654-8_35How to use a DOI?

Keywords

Affective computing; Intelligent Tutoring System; Emotion Recognition; Reinforcement Learning; Adaptive Learning

Abstract

Most educational technology systems focus on cognitive factors while ignoring affective Learning. This research presents an emotionally-aware intelligent tutoring framework integrating with multimodal affective computing and with reinforcement learning for a personalized learning experience. Our system uses hybrid CNN-LSTM architectures for real-time emotion detection, detecting engagement, frustration, confusion, and boredom with 90.1% accuracy. A reinforcement learning agent dynamically adjusts with instructional strategies based on cognitive performance and emotional states.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - N. M. Sudharsan
AU  - G. Yogesh
AU  - S. P. Priyadharshinin
PY  - 2026
DA  - 2026/04/24
TI  - Emotionally-Aware Intelligent Tutoring Through Affective Computing and Reinforcement Learning
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 429
EP  - 442
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_35
DO  - 10.2991/978-94-6239-654-8_35
ID  - Sudharsan2026
ER  -