"ASSISTments Dataset 2009-2010"

"This dataset contains student interaction logs from the ASSISTments online tutoring platform during the 2009-2010 academic year. As one of the most widely used benchmarks in the Educational Data Mining (EDM) and Intelligent Tutoring Systems (ITS) communities, this collection provides a rich foundation for modeling student learning trajectories and predicting academic performance.The dataset encompasses a large scale of records involving middle school students solving mathematics problems. Each entry captures detailed interaction attributes, including student identifiers, problem IDs, skill (knowledge component) names, success rates (correct\/incorrect), and longitudinal response sequences. Notably, the dataset is structured to support complex modeling tasks such as Bayesian Knowledge Tracing (BKT), Deep Knowledge Tracing (DKT), and Dynamic Bayesian Networks (DBN).Researchers can utilize this data to develop and validate adaptive learning algorithms, analyze the impact of multi-skill mappings, and investigate cognitive mastery over time. The version provided has been organized to ensure compatibility with standard machine learning pipelines, making it an essential resource for benchmarking personalized remediation strategies and student behavior analysis in digital learning environments."