Focus Plus: Detect Learner's Distraction by Web Camera in Distance Teaching
Eason Chen, Yuen Hsien Tseng, Kuo-Ping Lo

TL;DR
Focus+ is an AI-powered system that uses web camera analysis to detect student distraction during distance learning, helping teachers monitor and students regulate their engagement.
Contribution
The paper introduces Focus+, a novel AI-based system for real-time distraction detection in distance education using web camera analysis.
Findings
Designed a model for distraction detection
Proposed training and evaluation methods for the AI system
Aimed to improve engagement monitoring in online learning
Abstract
Distance teaching has become popular these years because of the COVID-19 epidemic. However, both students and teachers face several challenges in distance teaching, like being easy to distract. We proposed Focus+, a system designed to detect learners' status with the latest AI technology from their web camera to solve such challenges. By doing so, teachers can know students' status, and students can regulate their learning experience. In this research, we will discuss the expected model's design for training and evaluating the AI detection model of Focus+.
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Taxonomy
TopicsRobotics and Automated Systems · Online Learning and Analytics · Intelligent Tutoring Systems and Adaptive Learning
