首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Exploring Co-studied Massive Open Online Course Subjects via Social Network Analysis
  • 其他标题:Exploring Co-studied Massive Open Online Course Subjects via Social Network Analysis
  • 本地全文:下载
  • 作者:Katy Jordan
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2014
  • 卷号:9
  • 期号:8
  • 页码:38-41
  • 语种:English
  • 出版社:Kassel University Press
  • 摘要:Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’.
  • 关键词:Curricula; Open education; Massive Open Online Courses; MOOCs; Social network analysis
国家哲学社会科学文献中心版权所有