Using Adaptive Inbodied Motor e-learning Interactions to improve cognitive performance in language acquisition

开发新颖的互动工具和技术，探索动态学习。研究表明，运动可以促进课堂内外的学习。研究还清楚地表明，在不同的人口统计数据中，长时间坐着和看屏幕会导致认知能力低下，以及从疾病到压力升高的相关身体风险。电子学习-在COVID 19封锁中变得更加关注-包含了最糟糕的知识工作ICT：固定屏幕的久坐练习。本博士的工作将探索我们如何开发新工具，通过结合学习生理学，学习理论，（如运动学习），以支持在环境中离开椅子、离开桌面和移动的的学习;特别是利用AR和AI。目标案例将支持语言习得-语言和运动利用大脑的互补区域;语言习得对于来英国的学生、增加合作机会的工人和创造力来说尤其重要。贡献将是人类系统的互动;以人为中心的人工智能;电子学习;移动的计算。

To develop novel interactive tools and techniques to explore learning in motion.Research shows that movement enhances learning both inside and outside the classroom. Research also clearly shows across demographics that long periods of both sitting and looking at screens induces poor cognitive performance as well as associated physical risks from illness to elevated stress. e-Learning - becoming even more of a focus in COVID19 lockdown - embraces the worst of knowledge work ICT: sedentary practices with fixed screen.The work in this phd will explore how we can develop new tools to enhance e-Learning by combining physiology of learning, theories of learning (eg motor learning) in order to support learning that is out of the chair, off the desktop and mobile, in the environment; leveraging AR and AI in particular.The target case will be supporting language acquisition - language and movement leverage complementary areas of the brain; language acquisition is of particular concern for students coming to the UK, for workers increasing opportunities for collaboration, and for creativity. Contributions will be to human systems interaction; human centred AI; e-Learning; mobile computing.