Online learning data set for scientists on CASMOOC in 2018

In order to promote scientific and technological innovation and development, the Continuing Education Network of the Chinese Academy of Sciences (CASMOOC) provides online learning services where researchers choose courses independently. This study examines a time period from January 1, 2018 to December 31, 2018, through which 219,472 data entries were accumulated, amounting to a total learning time of 21,282.74 hours. It shows that online learning behavior arrives at its peak at 10am to 12am and 14pm to 18pm while we should not ignore that considerable learning behaviors occur at 18pm to 24pm. There is no significant correlation exists among learning duration, gender and age, and artificial intelligence and big data are on the highest demand. The data set provides a locus for analyzing the tendencies of researchers’ online learning time, content and duration across a variety of professional and technical titles, ages, genders and working years, which lays a precise foundation for online curriculum design of scientific researchers.

为推动科学技术创新与发展，中国科学院（CASMOOC）继续教育网络提供了在线学习服务，研究人员可独立选择课程。本研究考察了2018年1月1日至2018年12月31日期间的数据，累计219,472条数据记录，总计学习时长为21,282.74小时。研究表明，在线学习行为在上午10点至12点以及下午2点至6点达到高峰，同时亦不容忽视的是，在下午6点至午夜的学习行为亦颇为显著。学习时长、性别与年龄之间不存在显著的相关性，对人工智能与大数据的需求处于最高水平。该数据集为分析不同专业和技术职称、年龄、性别以及工作年限的研究人员在线学习时间、内容和时长趋势提供了研究焦点，为科学研究人员在线课程设计奠定了精确的基础。