STDG-KT: Knowledge Tracing Model with Static and Dynamic Graphs

A dataset supporting the STDG-KT model, which integrates static knowledge graphs and dynamic interaction graphs for knowledge tracing. The model was authored by Yan Zhang and published on figshare under a CC-BY-4.0 license. The dataset archive was last updated on May 7, 2026.

Use Cases

• Training knowledge tracing models based on the described dual-graph framework.
• Benchmarking model performance against three public datasets mentioned in the description.
• Simulating long-term knowledge acquisition and forgetting based on the described temporal awareness mechanism.
• Studying the relationship between static knowledge structures and dynamic learner interactions.

Strengths

• Model performance was validated on three public datasets, as stated in the description.
• The dataset archive is 681.7 MB, indicating substantial content.
• The model incorporates a temporal awareness mechanism inspired by cognitive science, as described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description focuses on the model methodology; the specific contents of the data files are not detailed.

Provenance

Source

figshare

Collection Method

Likely contains model outputs, training data, or evaluation results from the described STDG-KT experiments.

Freshness

Last updated 2026-05-07 05:34:06; freshness should be verified.