Abstract Book of the 9th International Academic Conference on Education
Year: 2025
[PDF]
Designing Emotionally Safe Learning Spaces Using Audio Intelligence for Inclusive Education
Lakshmi Ganesh Banda, Tanmayee HN, Ritu Jaiswal R
ABSTRACT:
In today’s diverse educational environments, ensuring emotional safety is foundational to inclusive learning. Learners—especially those from neurodiverse backgrounds or culturally sensitive settings—are significantly impacted by the tone, language, and atmosphere of classroom communication. This paper introduces an innovative audio intelligence framework developed by LinkLabs that detects, filters, and classifies emotionally disruptive language such as swear words, aggressive speech, or negative auditory cues in real time.
The core system, EchoDNA, is trained on a multilingual, socio-culturally contextualized database of profane and harmful language patterns, ensuring relevance across regional and global classrooms. Complementing this, our audio pattern recognition module provides analytics on conversational tone, engagement level, and inclusive speech patterns, empowering educators to intervene early and adapt teaching strategies.
Through pilot implementations in hybrid and digital learning environments, we present data-driven evidence of reduced classroom conflicts, improved learner well-being, and heightened inclusivity. This approach not only supports learners’ emotional and psychological safety but also helps align educational practices with modern ethical and inclusive standards.
We argue that such AI-powered interventions are essential to the future of inclusive education, particularly in supporting marginalized and neurodivergent learners, and propose guidelines for their ethical adoption in educational settings.
Keywords: audio intelligence, educational technology, emotional safety, inclusive learning, speech pattern detection