Higher Education Student Performance Evaluation Data

Higher Education Students Performance Evaluation dataset contains records of student academic performance. It is hosted on the UCI Machine Learning Repository. Specific details on the number of rows, columns, and collection date are not provided in the input metadata.

Use Cases

• Predict final student grade from demographic and prior academic performance features.
• Analyze correlation between attendance rate and assessment scores.
• Identify key factors leading to student failure using classification models on performance labels.
• Cluster students based on study habits and midterm exam results.

Strengths

• Dataset is hosted on the reputable UCI Machine Learning Repository, ensuring a degree of curation.
• Focuses on a clearly defined domain of higher education performance evaluation.

Limitations

• Unknown sample size limits assessment of statistical power for modeling.
• Lack of column details prevents evaluation of feature relevance and potential biases.
• Temporal staleness is a concern as the last update date is unknown.

Provenance

Source

UCI Machine Learning Repository