我国学习空间研究的进展与前瞻——兼论“人工智能+教育”视域下学习空间未来发展

Research Progress and Prospect of Learning Space in China:Also on the Future Development of Learning Space from the Perspective of “AI + Education”

在我国教育信息化深度推进的进程中,学习空间研究在理论和实践领域,都取得了较为丰富的研究成果。通过对相关数据库的学习空间文献进行系统性综述,发现我国学习空间研究总体上呈现三重分野:2013年是我国学习空间研究的重要分水岭;2013年之前呈现出思辨研究与综合研究的分野;2013年之后主要体现为团队特色研究的分野;在整体时间轴上,则体现为传统学习空间与网络学习空间的分野。推动我国学习空间研究的动力,主要来自技术助力、政策推动、学术共同体尽力、高规格学术会议推动、跨学科和国际借鉴五个方面。在"人工智能+教育"视域下,未来我国学习空间应在"基于智能技术整合的学习空间架构"和"基于智能大数据技术的学习空间教学"两方面进行深入研究,基于此的应用主要有学习资源进化机制、学习者画像分析、个性化学习干预和学习风险预警研究等。

In the process of educational informationization in China, the study of learning space has obtained a lot of research results in both theory and practice. By analyzing all the literature on learning space in CNKI database systematically, it is concluded that： the researches of learning space in China present three divisions in general. 2013 is an important year that watershed for the researches of learning space. Before 2013, the distinction between speculative research and comprehensive research was presented. After 2013, it was mainly embodied in the division of team characteristics. The overall time axis reflects the separation of the tra-ditional learning space and the network learning space. The impetus to promote learning space mainly comes from five aspects ： technical assistance, policy promotion, academic community＇s efforts, high specification academic conference promotion, interdisciplinary and international reference. Under the threshold of ＂AI ＋ Education＂, the future study of learning space in China may focus on two aspects： the learning space architecture based on the integration of intelligent technology and the learning space teaching based on the technology of big data analysis. The applications mainly include the evolution mechanism of learning resources, the analysis of the learners＇ portrait, the intervention of individual learning and the study on early warning of learning risk.