Open University Learning Analytics dataset

被引:178
|
作者
Kuzilek, Jakub [1 ,2 ]
Hlosta, Martin [1 ]
Zdrahal, Zdenek [1 ,2 ]
机构
[1] Open Univ, Knowledge Media Inst, Walton Hall, Milton Keynes MK7 6AA, Bucks, England
[2] Czech Tech Univ, CIIRC, Zikova St 1903-4, Prague 16636, Czech Republic
关键词
D O I
10.1038/sdata.2017.171
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.
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页数:8
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