Design of Online-Merge-Offline Intelligent Learning Space under the Background of Open Education

Lamei Wang, Yuanyi Qi, Jun Xiao
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Abstract

The global COVID-19 is spreading, and online teaching is developing rapidly. The continuous deepening of the integration of new technologies such as artificial intelligence and big data with education and teaching has prompted new changes in education and teaching, especially online and offline integrated teaching has become a new form of teaching. Combining the characteristics of open education, this study proposed a design model of online-merge-offline (OMO) intelligent learning space under the framework of PSST on the basis of sorting out the connotation of OMO intelligent learning space, in order to provide reference for future research on intelligent learning space.
开放教育背景下线上融合线下智能学习空间设计
新冠肺炎疫情在全球蔓延,网络教学发展迅速。人工智能、大数据等新技术与教育教学融合的不断深入,促使教育教学发生了新的变化,尤其是线上线下融合教学成为一种新的教学形式。本研究结合开放教育的特点,在梳理OMO智能学习空间内涵的基础上,提出了PSST框架下的线上融合线下(online-merge-offline, OMO)智能学习空间的设计模型,以期为未来智能学习空间的研究提供参考。
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