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    数字学习的知识转化中低韧性群体学业韧性与 困惑感知研究

    A Study on Academic Resilience and Confusion Perception in Low-resilience Groups in Knowledge Transformation in Digital Learning

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【作      者】:

刘哲雨, 姚宇哲, 王丽蕾


【关 键 词 】:

数字学习; 学业韧性; 困惑感知; 知识转化; 低韧性群体


【栏      目】:

课程与教学


【中文摘要】:

教育数字化时代学习方式和知识生产方式正在经历变革,深刻影响着隐性知识与显性知识的转化机制。数字学习中信息海量且组织方式复杂,“困惑感知”作为自我知识审视的起点,对学生的知识转化起到关键作用。“学业韧性”作为最核心的学习品质之一,是学生面对数字学习挑战时的适应力和修复力。“低韧性群体”在知识转化过程中面临更多障碍,其困惑感知与知识转化效果受到影响。研究首先基于知识转化的SECI模型设计实验,其次调查学业韧性,确定低韧性大学生群体,通过多模态数据表征学生困惑感知水平,最后分析学业韧性与困惑感知的相关性。研究发现,低韧性群体在高困惑与低困惑两种数字学习情境下,学业韧性与困惑感知均呈现出显著相关关系。研究结论为提升低韧性群体知识转化效果的数字学习技术设计提供科学支撑。


【英文摘要】:

In the era of digitalization of education, the learning mode and knowledge production mode are undergoing great changes, which have a profound impact on the transformation mechanism of tacit and explicit knowledge. In digital learning, information is massive and organized in complex ways. As the starting point of self-knowledge introspection, "confusion perception" plays a key role in students' knowledge transformation. "Academic resilience", as one of the most important learning qualities, refers to students' adaptability and restorative capacity in facing digital learning challenges. The "low-resilience group" faces more obstacles in the process of knowledge transformation, and its confusion perception and the effectiveness of knowledge transformation are affected. This study first designed an experiment based on the SECI model of knowledge transformation, and then investigated academic resilience to identify the college student group with low resilience. The multimodal data were used to characterize the level of students' confusion perception, and finally the correlation between academic resilience and confusion perception was analyzed. It is found that there is a significant correlation between academic resilience and confusion perception in low-resilience groups in both high confusion and low confusion digital learning situations. The research results provide scientific support for the design of digital learning technology to improve the effectiveness of knowledge transformation of low-resilience groups.

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