期刊名称:Journal of University Teaching and Learning Practice
印刷版ISSN:1449-9789
出版年度:2016
卷号:13
期号:3
页码:7
出版社:University of Wollongong
摘要:Learning analytics can be used to enhance student engagement and performance in online courses. Using learning analytics, instructors can collect and analyze data about students and improve the design and delivery of instruction to make it more meaningful for them. In this paper, the authors review different categories of online assessments and identify data sets that can be collected and analyzed for each of them. Two different data analytics and visualization tools were used: Tableau for quantitative data and Many Eyes for qualitative data. This paper has implications for instructors, instructional designers, administrators, and educational researchers who use online assessments.