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    物联网技术应用于学前儿童类比推理 评价与学习支持的研究 ——基于认知诊断方法

    Research on Application of IoT Technology in Analogical Reasoning Evaluation and Learning Support for Preschool Children: Based on Cognitive Diagnostic Method

【作      者】:

郭力平, 吕 雪, 罗艳艳, 李一帆, 赵玉仙


【关 键 词 】:

反馈; 类比推理; 学前儿童; 物联网; 认知诊断; 认知模型


【栏      目】:

课程与教学


【中文摘要】:

在智慧教育背景下开展交叉学科研究,探究物联网技术在学前儿童类比推理评价与学习支持领域的应用。研究借助物联网技术设计类比推理工具,自动化采集和传输数据,采用认知诊断方法从更为微观的层面探究幼儿类比推理的特点、自动化反馈对幼儿类比推理学习的影响。研究发现,反馈和反馈+解释能够有效促进学前儿童类比推理能力的发展,促使学前儿童类比推理认知属性掌握模式的改变。利用物联网技术设计学前儿童学习与发展评价工具具有可行性和有效性,自动化反馈能够支持学前儿童类比推理学习。


【英文摘要】:

Under the background of smart education, interdisciplinary research is carried out to explore the application of Internet of Things technology in the field of analogical reasoning evaluation and learning support for preschool children. This study uses the Internet of Things technology to design analogical reasoning tools, automatically collects and transmits data, and adopts cognitive diagnostic method to explore the characteristics of children's analogical reasoning from a more micro level, and the impact of automatic feedback on children's analogical reasoning learning as well. It is found that feedback and feedback plus explanation can effectively promote the development of preschool children's analogical reasoning ability, and promote the changes of preschool children's understanding of cognitive attributes of analogical reasoning. It is feasible and effective to use Internet of Things technology to design evaluation tools for preschool children's learning and development, and automatic feedback can be used to support preschool children's analogical reasoning learning.

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