Center for Machine Learning and Intelligent Systems 		About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Open University Learning Analytics dataset Data Set
Download: Data Folder, Data Set Description

Abstract: Open University Learning Analytics Dataset contains data about courses, students and their interactions with Virtual Learning Environment for seven selected courses and more than 30000 students.

Data Set Characteristics:  

Multivariate, Sequential, Time-Series

Number of Instances:

N/A

Area:

Computer

Attribute Characteristics:

Integer

Number of Attributes:

N/A

Date Donated

2015-12-21

Associated Tasks:

Classification, Regression, Clustering

Missing Values?

Yes

Number of Web Hits:

28129

Source:

Jakub Kuzilek (jakub.kuzilek '@' gmail.com)
Knowledge Media Institute, The Open University
Walton Hall, Milton Keynes, MK7 6AA, UK
CIIRC, CTU in Prague
Zikova 1903/4, Prague, CZ
Martin Hlosta (martin.hlosta '@' open.ac.uk)
Knowledge Media Institute, The Open University
Walton Hall, Milton Keynes, MK7 6AA, UK
Zdenek Zdrahal (zdenek.zdrahal '@' open.ac.uk)
Knowledge Media Institute, The Open University
Walton Hall, Milton Keynes, MK7 6AA, UK
CIIRC, CTU in Prague
Zikova 1903/4, Prague, CZ


Data Set Information:

Open University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) for seven selected courses (called modules). Presentations of courses start in February and October - they are marked by 'B' and 'J' respectively. The dataset consists of tables connected using unique identifiers. Dataset is stored in several csv files. More information, examples and news can be found at: [Web Link]


Attribute Information:

see description file


Relevant Papers:

N/A



Citation Request:

Released under CC-BY 4.0. Please use this paper for your citation: Kuzilek, J., Hlosta, M., Herrmannova, D., Zdrahal, Z. and Wolff, A. OU Analyse: Analysing At-Risk Students at The Open University. Learning Analytics Review, no. LAK15-1, March 2015, ISSN: 2057-7494.

Supported By:

 In Collaboration With:
About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML