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Understanding MOOC students: motivations and behaviours indicative of MOOC completion

机译:了解MOOC学生:表明完成MOOC的动机和行为

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摘要

Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as college courses. This research examined MOOC student demographic data, intended behaviours and course interactions to better understand variables that are indicative of MOOC completion. The results lead to ideas regarding how these variables can be used to support MOOC students through the application of learning analytics tools and systems.
机译:大规模的在线公开课程(MOOC)继续出现在高等教育领域中,其起源于美国和世界各地的许多机构。至少与传统课程相比,MOOC的完成率通常较低,因为这种课程的交付模式与传统的收费模式(例如大学课程)有很大不同。这项研究检查了MOOC学生的人口统计数据,预期的行为和课程之间的相互作用,以更好地理解指示MOOC完成的变量。结果引发了关于如何通过学习分析工具和系统的应用这些变量如何为MOOC学生提供支持的想法。

著录项

  • 来源
    《Journal of Computer Assisted Learning》 |2016年第3期|202-217|共16页
  • 作者单位

    Penn State Univ, Educ Technol Serv, 309 Rider Bldg, University Pk, PA 16802 USA|Penn State Univ, Ctr Online Innovat Learning, 309 Rider Bldg, University Pk, PA 16802 USA;

    Penn State Univ, Dept Educ Policy Studies, University Pk, PA 16802 USA;

    Penn State Univ, Penn State Great Valley Sch Grad Profess Studies, University Pk, PA 16802 USA;

    Penn State Univ, Dept Learning & Performance Syst, University Pk, PA 16802 USA;

    Penn State Univ, Dept Chem Engn, University Pk, PA 16802 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    completion; engagement; learning analytics; MOOC; motivation; persistence;

    机译:完成度;参与度;学习分析;MOOC;动机;持久性;

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