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.

翻译：工程、计算机科学和神经科学之间的跨学科研究,以了解和利用人类大脑信号,导致可磨损的神经技术在适应性流动人类智能系统中的进步和广泛应用。考虑到这些进展,我们设想,未来的教育将利用可磨损的神经技术的进步,转向更个性化的智能教室,这些教室的教学和互动是针对学生的个人优势和需要的。在本论文中,我们讨论了智能教室的未来,以及神经科学、机器学习和嵌入系统作为关键推进器的进步如何为设想的智能教室和个性化教育提供基础设施,同时提出需要应对的公开挑战。