A processed dataset linking student engagement, performance, and dropout risk in online learning. The dataset originates from the Open University Learning Analytics Dataset (OULAD) project. Specific details on the number of records, time period, and geographic scope are not provided in the input.
Use Cases
- Predicting student dropout risk based on engagement and performance data mentioned in the description
- Analyzing the relationship between engagement metrics and academic performance outcomes
- Building classification models to identify at-risk students for early intervention
- Conducting educational data mining to understand online learning behaviors
Strengths
- Focuses on a specific and actionable domain: student engagement and dropout risk
- Data is described as 'processed', which may indicate it is ready for analysis
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- Last update date is unknown; freshness unverified
Provenance
- Source
- Open University Learning Analytics Dataset (OULAD)
- Collection Method
- Processed from original student-level data
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified
- Geography
- null