SEN classroom: Future Classroom with AIoT System for SEN Students

Overview

This system enables 1-to-many teaching mode by analysing multimodal IoT data such as vital signs and videos collected during the class. It helps SEN students and therapists to improve learning and teaching effectiveness. Trial run has been conducted in education centers in Singapore and SEN schools in Hong Kong.

Commercialisation opportunities

· IP licensing· Technology co-development

Problem addressed

The number of SEN students has been increasing in the past decade. However, 1-on-1 intensive training is unaffordable for most families. This project enables 1-to-many teaching mode by analysing multimodal data collected during the class. Therapists can adjust the learning task in real-time based on AI recommendation to improve training effectiveness.

Innovation

Emotion wristband & sleeve for predicting the emotion status of SEN students and enabling training tasks adjustment in real-time
Video analytic engine for detecting the completion of training tasks by SEN students in class
Programme recommendation AI engine that can assist the assessment of student performance and the design of Individualized Educational Plan

Key impact

Affordable and accessible behaviour therapy tailored for each SEN student
Substantially improve the effectiveness of SEN training through 1-to-multiple classroom setting
Quality and consistent learning experience across different parents and teachers

Award