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Effect of demographic factors on knowledge creation processes in learning management system among postgraduate students

机译:人口统计学因素对研究生学习管理系统中知识创造过程的影响

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Analyzing data from top Japanese industries, Nonaka and Takeuchi concluded that knowledge creation involves the processes of interaction and transaction of tacit and explicit knowledge between experts and novices that employ the processes of Socialization, Externalization, Combination, and Internalization (SECI). The SECI model is appealing but has not been shown to be applicable to the field of education. Thus, this study investigated whether the SECI model could explain the knowledge creation processes in education for demographic factors in online Learning Management System (LMS) supported postgraduate courses. The sample comprised 160 postgraduate students enrolled in LMS-supported courses in higher learning institution. Data was analyzed using statistical analysis such as independence samples t-test and one-way analysis of variance (ANOVA). It was found that the Socialization process has significant difference in the scores for all the demographic factors. These findings suggest that for Socialization process, careful review of LMS-supported teaching method among the postgraduate students should be undertaken to harness the knowledge creation processes from lecturers as experts to students as novices.
机译:Nonaka和Takeuchi分析了来自日本顶尖行业的数据,得出的结论是,知识创造涉及专家和新手之间采用社会化,外化,组合和内化(SECI)流程的隐性知识和显性知识的交互和交易过程。 SECI模型很吸引人,但尚未显示出适用于教育领域。因此,本研究调查了SECI模型是否可以解释在线学习管理系统(LMS)支持的研究生课程中针对人口因素的教育中的知识创造过程。样本包括160名在高等院校学习LMS支持的课程的研究生。使用统计分析(例如独立样本t检验和方差单向分析(ANOVA))对数据进行分析。发现社会化过程在所有人口因素的得分上都有显着差异。这些发现表明,对于社会化过程,应认真研究研究生中LMS支持的教学方法,以利用从讲师作为专家到新手的知识创造过程。

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