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Integrating Innovative Neuro-educational Technologies (I-Net) into K-12 Science Classrooms

机译:将创新的神经教育技术(I-Net)集成到K-12科学课堂上

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With the U.S. facing a decline in science, math and engineering skills, there is a need for educators in these fields to team with engineers and cognitive scientists to pioneer novel approaches to science education. There is a strong need for the incorporation problem solving and emerging neuroscience technologies into mainstream classrooms, and for students and teachers to experience what it means at a very personal level, to engage in and struggle with solving difficult science problems. An innovating and engaging way of doing this is by making the problem solving process visible through the use of realtime electroencephalography cognitive metrics. There are educational, task, and measurement challenges that must be addressed to accomplish this goal. In this paper we detail some of these challenges, and possible solutions, to develop a framework for a new set of Interactive Neuro-Educational Technologies (I-Net).
机译:与美国的科学,数学和工程技能下降,这些领域的教育工作者需要与工程师和认知科学家的团队,以便先锋新颖的科学教育方法。强烈需要将内容解决问题和新兴的神经科学技术进入主流教室,以及学生和教师在非常个人层面上体验意味着什么,从事艰难的科学问题。通过使用实时脑电图认知度量,通过使用实时脑电图认知度量来解决问题的创新和吸引力。必须解决这一目标的教育,任务和衡量挑战。在本文中,我们详细介绍了这些挑战和可能的解决方案,为新型交互式神经教育技术(I-Net)开发框架。

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