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首页> 外文期刊>International Review of Research in Open and Distributed Learning >Public Response to “the MOOC Movement” in China: Examining the Time Series of Microblogging
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Public Response to “the MOOC Movement” in China: Examining the Time Series of Microblogging

机译:公众对中国“ MOOC运动”的回应:审视微博的时间序列

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摘要

In China, microblogging is an extremely popular activity and is proving to be an effective mechanism to gauge perceptions about social phenomena. Between 2010 and 2015 Sina Weibo, China’s largest microblogging website, generated 95,015 postings from 62,074 users referencing the term massive open online courses (MOOCs), a method of online course delivery popularized in North America that has spread globally. Time series analyses revealed distinct patterns in the volume of postings during a four-year period, and subsequently by month, by week, and by the time of day. The volume of postings during the week, for example, peaked on Monday and declined daily to a low point on Saturday. Relative to maximizing learner engagement, the findings may provide insight to parties who deliver MOOCs to employ or test strategies on timing (i.e., time of year to offerot offer a MOOC, time of week to releaseot release new material, time of day to scheduleot schedule chat sessions). The paper also serves to demonstrate a mechanism to retrieve big data from social media sources, otherwise underutilized in educational research.
机译:在中国,微博是一种非常流行的活动,并且被证明是衡量对社会现象的看法的有效机制。在2010年至2015年之间,中国最大的微博网站新浪微博从62,074位用户生成了95,015条帖子,这些帖子引用了术语“大规模开放在线课程(MOOC)”,这是一种在北美流行的在线课程交付方式,已在全球范围内普及。时间序列分析揭示了四年期间,随后按月,按周和按一天中的时间的发帖量的不同模式。例如,一周中的发帖量在周一达到顶峰,而在周六则每天下降至低点。相对于最大程度地提高学习者的参与度,调查结果可能会为提供MOOC以采用或测试策略的参与者(例如,一年中提供/不提供MOOC,一周中的时间发布/不发布新材料,安排/不安排聊天会话的日期)。本文还有助于说明一种从社交媒体资源中检索大数据的机制,否则该机制将在教育研究中得到充分利用。

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