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    “互联网+教研”形态研究:内涵、特征与趋势

    Research on The Pattern of "Internet + Teaching and Research": Connotations, Characteristics and Trends

【作      者】:

胡小勇, 徐欢云


【关 键 词 】:

互联网+教研; 社群教研; 教师专业发展; 教研形态


【栏      目】:

理论探讨


【中文摘要】:

“互联网+”推动教研发展,引发教研形态转型。文章在梳理网络技术支持教研形态演化发展的基础上,提出“互联网+教研”是信息化教研发展的高端形态,其内涵表现为:以多维空间的开放互通,优化教研生态环境;以智能技术的创新应用,拓展教研活动场域;以教师学习方式变革,促进教研形式创新;以促进教师高水平专业成长为核心,推动教师质量和教育质量的内涵式发展。同时,从教研主体、环境、内容、过程及评价五个方面分析了“互联网+教研”的关键特征。最后,文章提出以下研究发展趋势:以研究范式转型来构建“互联网+教研”理论体系;重视人工智能技术与教研应用的创新融合;开展大数据驱动的“互联网+教研”服务的综合效能评估。


【英文摘要】:

"Internet +" promotes the development of teaching and research, and triggers the transformation of the pattern of teaching and research. Based on the analysis of the evolution and development of teaching and research enhanced by network technology, this paper puts forward that "Internet + Teaching and Research" is the advanced pattern of information-based teaching and research, and its connotation is as follows: optimizing the ecological environment of teaching and research with the opening and interworking of multidimensional space, expanding the field of teaching and research activities with the innovative application of intelligent technology, promoting the innovation of teaching and research pattern through the reform of teachers' learning methods and promoting the connotation-oriented development of quality of teacher and quality of education to promote teacher professional development at a high level. Meanwhile, this paper analyzes the key characteristics of "Internet + Teaching and Research" from five aspects: main body of teaching and research, environment, content, process and evaluation. Finally, the paper puts forward the following research trends: the transformation of research paradigm is used to construct the theoretical system of "Internet + Teaching and Research"; the innovative integration of artificial intelligence technology and the application of teaching and research is attached importance to; and comprehensive effectiveness evaluation of the service of "Internet + Teaching and Research" driven by big data is carried out.

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