A concept paper on an alert system for profiling attention deficits through neurofeedback to enhance effective learning

Handayani, Dini Oktarina Dwi and Hasram, Hayani Nazurah and Ismail, Nora Alissa and Falemban, Ohud and Suryady, Zeldi and Subardjo, Ratna Yunita Setiyani (2024) A concept paper on an alert system for profiling attention deficits through neurofeedback to enhance effective learning. In: 10th International Conference on Computing, Engineering and Design (ICCED), 11-12 December 2024, Saudi Arabia.

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Abstract

Attention deficits significantly impede students' learning outcomes and academic performance, yet current educational frameworks often lack the tools to effectively identify and address these challenges. This concept paper proposes a novel Brain-Computer Interface (BCI) system to monitor and profile student attention deficits, leveraging deep learning models and neurofeedback mechanisms. Specifically, the system employs Long Short-Term Memory (LSTM) networks to analyze real-time electroencephalogram (EEG) data, detecting shifts in attention during learning activities. By integrating neurofeedback, the BCI system provides personalized interventions tailored to individual cognitive states, enhancing student engagement and facilitating improved academic performance. The research structures itself into four phases: (1) developing deep learning models for attention detection, (2) creating a real-time BCI system, (3) integrating neurofeedback mechanisms, and (4) evaluating the system's effectiveness in educational settings. This study aims to bridge the gap in existing literature regarding attention deficits in education, providing educators with actionable insights and innovative tools to foster cognitive engagement. Ultimately, the proposed system has the potential to transform educational practices, support at-risk students, and contribute to the growing field of BCI applications in education.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Attention Deficit, Alert System, Neurofeedback, Profiling, Effective learning
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Dini Handayani
Date Deposited:	17 Jul 2025 16:07
Last Modified:	17 Jul 2025 16:07
URI:	http://irep.iium.edu.my/id/eprint/122096

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