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    人工智能时代教学行动研究抽样技术的三大基础

    Three Principles of Sampling in Educational Action Research in the Artificial Intelligence Era

【作      者】:

陈思宇, 曾文婕, 黄甫全


【关 键 词 】:

人工智能; 教学行动研究; 抽样技术; 客观性; 进化; 概念; 意义


【栏      目】:

理论探讨


【中文摘要】:

在教学行动研究方法论体系中,抽样关涉行动研究的学术性,日益受到重视。人工智能时代的到来,推动着智能技术与行动研究及其抽样方法的深层融合。文章集中阐释教学行动研究的抽样技术进化基础、概念基础和意义基础。进化轨迹表现为,从方便抽样到多元取样、从人类样本到经验样本,昭示教学行动研究抽样技术超越研究条件局限性,向科学性和智能化演变;在概念上,理论先行和实践关怀是教学行动研究抽样技术的本质特征,人工智能技术的变革和解决学术合法性危机的需要是其发展动力,符合学校伦理规定和切实保护师生权益是其实施原则;而明晰研究目的和研究问题,据以开展研究设计和抽样分析,则是教学行动研究的意义基础。


【英文摘要】:

In the educational action research (AR ) methodological system, sampling is closely related to AR quality and has received increasing attention. With the advent of Artificial Intelligence, intellectual technologies penetrate into AR and the sampling gradually and deeply. This paper focuses on discussing the evolvement, concept and meaning of sampling in educational AR. The evolutionary trajectory of sampling in educational AR has developed from convenient sampling to multiple sampling, and from human sampling to experience sampling, which shows that AR sampling surpasses the limitations of research conditions and evolves into scientific and intelligent ones. In concept, theory first and practice focused are the essential characteristics of sampling in educational AR; the reform of Artificial Intelligence and the need to solve the crisis of academic legitimacy are its driving force for development, and complying with school ethics regulations and protecting the rights and interests of teachers and students effectively are implement principles of sampling in AR. Clear research goals and research questions, design and data analysis are significant to sampling procedures.

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