Future of Smart Classroom in the Era of Wearable Neurotechnology

2021/10/21 by Mojtaba Taherisadr, Taherisadr, Mojtaba, Berken Utku Demirel +5
Computer Science · Engineering · Neuroscience · #CCD and CMOS Imaging Sensors #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #IoT and Edge/Fog Computing

paper · pdf · doi:10.48550/arxiv.2110.11475

openalex publication_date 2021/10/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability of wearable neurotechnology in adaptive human-in-the-loop smart systems. Considering these advances, we envision that future education will exploit the advances in wearable neurotechnology and move toward more personalized smart classrooms where instructions and interactions are tailored towards. students' individual strengths and needs. In this paper, we discuss the future of smart classrooms and how advances in neuroscience, machine learning, and embedded systems as key enablers will provide the infrastructure for envisioned smart classrooms and personalized education along with open challenges that are required to be addressed.

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