Emotion-Aware and Ethically Adaptive AI Learning Platform for Personalized, Inclusive and Real-World Student Engagement

Abdul Rasheed P., Baiju Krishnan, Chandrasekhar V., A. Narmatha, Charumathi S., Syed Hauider Abbas

2025

Abstract

The fast pace of AI in education not only requires technically sound adaptive learning systems, but also ethically attuned and emotionally responsive ones. The work in this paper introduces an emotion-aware, AI-enabled adaptive learning system that extends beyond traditional performance-based personalisation with the use of emotion-aware analytics, real-time feedback and multi-model learner profiling. Dr. Swart and her team have developed SOSTAC Classic System which teaches: Time Management, Study Skills, Organisational Skills, Multi-lingual and cultural friendly platform - adapting with individual learning style, cognitive preference and engagement pattern. It guarantees secure and ethical management of learner data, in line with the GDPR, and fosters collaborative learning involving teachers in the adaptive feedback loop. Delivered across diverse contexts, the platform has also proven sustained learning outcomes by closely monitoring performance over time. Results from deployments in real academic classrooms demonstrate superior engagement, retention, and academic performance, and has thus achieved a milestone for personalized education systems.

Paper Citation

in Harvard Style

P. A., Krishnan B., V. C., Narmatha A., S. C. and Abbas S. (2025). Emotion-Aware and Ethically Adaptive AI Learning Platform for Personalized, Inclusive and Real-World Student Engagement. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 710-717. DOI: 10.5220/0013942600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Abdul P. and Baiju Krishnan and Chandrasekhar V. and A. Narmatha and Charumathi S. and Syed Abbas},
title={Emotion-Aware and Ethically Adaptive AI Learning Platform for Personalized, Inclusive and Real-World Student Engagement},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={710-717},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013942600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Emotion-Aware and Ethically Adaptive AI Learning Platform for Personalized, Inclusive and Real-World Student Engagement
SN - 978-989-758-777-1
AU - P. A.
AU - Krishnan B.
AU - V. C.
AU - Narmatha A.
AU - S. C.
AU - Abbas S.
PY - 2025
SP - 710
EP - 717
DO - 10.5220/0013942600004919
PB - SciTePress