Middle School Student Knowledge Tracing with 1.05 Million Interactions

A dataset of 1.05 million student interactions from 4,939 middle school students. It is hosted on Kaggle and appears to be designed for modeling student knowledge acquisition over time. The specific author, organization, and time range of data collection are not provided.

Use Cases

• Build knowledge tracing models based on the sequence of student interactions.
• Predict student performance on future tasks based on their interaction history.
• Analyze learning patterns and skill acquisition across a large student population.
• Benchmark machine learning algorithms for educational applications.

Strengths

• Contains 1.05 million recorded interactions, providing a substantial volume of data.
• Covers 4,939 students, offering a broad sample of the middle school population.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle