Modelling tacit knowledge transfer in MOOCs: Simulations on the transfer process

Jilan Wu, Shanshan Shang
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引用次数: 0

Abstract

Massive Open Online Courses (MOOCs) are massive large-scale open online resources provided by famous universities or organisations by which anybody can take the courses anywhere through internet connection for free. The implementation of MOOCs in universities shows a new form of learning. Considering that tacit knowledge plays a very important role in learning, this paper discusses the tacit knowledge transfer process in MOOCs. A useful system dynamics model to analyse which factors impact the tacit knowledge transfer effect is proposed in this research. A simulation method is used to illustrate the relation between transfer effect and these factors through sensitivity analysis. The results show that transfer effect increases with the circulation of the platform and technology advances of MOOCs, but the rate of growth has changed from high to low. The research mainly aims to guide the design and operation of MOOCs and other e-learning platforms.
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MOOC中隐性知识转移的建模:转移过程的模拟
大规模开放在线课程(MOOC)是由著名大学或组织提供的大规模开放在线资源,任何人都可以通过互联网连接在任何地方免费学习。MOOC在大学的实施展示了一种新的学习形式。鉴于隐性知识在学习中起着非常重要的作用,本文讨论了MOOC中的隐性知识迁移过程。本文提出了一个有用的系统动力学模型来分析哪些因素影响隐性知识转移效应。通过敏感性分析,采用模拟方法说明了转移效应与这些因素之间的关系。结果表明,转移效应随着平台的流通和MOOC技术的进步而增加,但增长率由高变低。本研究主要旨在指导MOOC和其他电子学习平台的设计和运营。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions Hong Kong Institution of Engineers
Transactions Hong Kong Institution of Engineers Engineering-Engineering (all)
CiteScore
2.70
自引率
0.00%
发文量
22
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