7 tables of data representing 32,593 students across 22 module presentations at the Open University. It includes demographic information, assessment scores, and 10,655,280 records of student interactions with the Virtual Learning Environment (VLE).
Use Cases
- Predict student dropout risk using the final_result column and cumulative sum_click counts from the studentVle table
- Analyze the impact of socio-economic status on academic performance using the imd_band and score columns
- Cluster student learning patterns based on the frequency of interaction with different activity_type entries in the VLE
- Evaluate the difficulty of specific course components by correlating assessment_type with average score in the studentAssessment table
Strengths
- 10.6 million rows of time-stamped student interactions with VLE resources
- Includes student demographic features such as gender, region, highest_education, imd_band, and age_band
- Links student performance across assessments and studentAssessment tables to final final_result labels
- Provides a vle table mapping interaction types to specific activity categories like 'forumng', 'resource', and 'url'