EEG-based attention monitoring system for classroom evaluation

Muhammad Nasir, Nur Ashikin (2025) EEG-based attention monitoring system for classroom evaluation. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The project of EEG- Based Attention Monitoring System for Classroom Evaluation come up with an inventive method of monitoring student engagement and attention levels during classes is the EEG-based attention monitoring system. In modern educational environments, monitoring student engagement is critical for effective learning, yet traditional methods are often subjective and insufficient. This project addresses the need for objective, real-time attention monitoring by developing an EEG-based system using Mind Link sensors connected via HC-05 Bluetooth modules to Arduino Uno microcontrollers, capturing data through a MATLAB GUI. The primary objectives are to read real-time data from the MindLink brain sensor and process acquire through MATLAB GUI, accurately interpret the detected EEG waveforms, and monitor student attention levels. The methodology involves setting up the hardware to collect EEG data, processing signals via Arduino, and analyzing them with MATLAB levels. The outcome is instructional effectiveness and personalized learning experiences through timely interventions based on accurate attention and meditation data. The conclusion, aims to revolutionize classroom evaluation by providing objective measures of student engagement of attention and meditation, ultimately leading to improved educational outcomes. Students wear EEG sensors that track electrical brainwave activity in a classroom. Supervisor and students receive real-time data on their attention or meditation levels through a dashboard or alerts, which are analyzed by developing algorithms.

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