Macro MOOC learning analytics: exploring trends across global and regional providers

José A. Ruipérez Valiente, Matt Jenner, T. Staubitz, Xitong Li, Tobias Rohloff, Sherif A. Halawa, C. Turró, Yuan Cheng, Jiayin Zhang, Ignacio M. Despujol, J. Reich
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引用次数: 17

Abstract

Massive Open Online Courses (MOOCs) have opened new educational possibilities for learners around the world. Most of the research and spotlight has been concentrated on a handful of global, English-language providers, but there are a growing number of regional providers of MOOCS in languages other than English. In this work, we have partnered with thirteen MOOC providers from around the world. We apply a multi-platform approach generating a joint and comparable analysis with data from millions of learners. This allows us to examine learning analytics trends at a macro level across various MOOC providers, with a goal of understanding which MOOC trends are globally universal and which of them are context-dependent. The analysis reports preliminary results on the differences and similarities of trends based on the country of origin, level of education, gender and age of their learners across global and regional MOOC providers. This study exemplifies the potential of macro learning analytics in MOOCs to understand the ecosystem and inform the whole community, while calling for more large scale studies in learning analytics through partnerships among researchers and institutions.
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宏观MOOC学习分析:探索全球和区域供应商的趋势
大规模在线开放课程(MOOCs)为世界各地的学习者开辟了新的教育可能性。大多数研究和关注都集中在少数几家全球性的英语提供商身上,但也有越来越多的地区性mooc提供商提供英语以外的语言。在这项工作中,我们与来自世界各地的13家MOOC提供商合作。我们采用多平台方法,从数百万学习者的数据中生成联合和可比较的分析。这使我们能够在宏观层面上检查各种MOOC提供商的学习分析趋势,目的是了解哪些MOOC趋势是全球通用的,哪些是与环境相关的。该分析报告了基于全球和地区MOOC提供商的原籍国、教育水平、学习者性别和年龄的趋势差异和相似之处的初步结果。这项研究举例说明了宏观学习分析在mooc中理解生态系统和为整个社区提供信息的潜力,同时呼吁通过研究人员和机构之间的合作,进行更多大规模的学习分析研究。
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