Data Paper Zone II Versions ZH2 Vol 4 (3) 2019
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Online learning data set for scientists on CASMOOC in 2018
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: 2019 - 04 - 14
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: 2019 - 09 - 26
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Abstract & Keywords
Abstract: 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.
Keywords: scientific researchers; online learning; CASMOOC; learning analysis
Dataset Profile
TitleOnline learning data set for scientists on CASMOOC in 2018
Data corresponding authorZhao Yixia (zyx@cnic.cn)
Data authorsZhao Yixia, Jin Kun, Zheng Xiaohuan, Kong Lihua
Time range2018
Survey scopeResearch Staff of 129 Institutions of Chinese Academy of Sciences
Data volume42,299 KB, 219,472 entries
Data format*.xlsx
Data service system<http://www.sciencedb.cn/dataSet/handle/752>
Source of fundingE-learning System Project of the 13th Five-Year Informatization Program of the Chinese Academy of Sciences (2017-2018).
Dataset compositionThe data set consists of three data sheets, namely, “All Selected Courses”, “Selected but not Attended” and “Selected and Attended”. “All Selected Courses” includes 219 472 pieces of data; “Selected but not Attended” includes 12,716 pieces of data; and “Selected and Attended” includes 206,756 pieces of data. Each entry of “All Selected Courses” and “Selected but not Attended” have 11 data fields, of which 5 fields account for basic information, while “Selected and Attended” has 12 fields, of which 5 fields account for basic information.
Article and author information
Zhao Yixia
主要承担工作:基础数据处理与论文撰写。
zyx@cnic.cn
Jin Kun
主要承担工作:整体设计与数据质量控制。
Zheng Xiaohuan
主要承担工作:技术指导。
Kong Lihua
主要承担工作:技术指导。
Publication records
Released: April 19, 2019 ( VersionsZH1
Published: Sept. 26, 2019 ( VersionsZH2
References
中国科学数据
csdata