A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
ACM Computing Surveys55(11), Article 224, 37 pages (2023)
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EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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Large-scale data from an AI platform confirms students have consistent learning rates (IQR 7.01-8.25 opportunities to 80% mastery) despite variable starting knowledge, replicating prior findings with automated knowledge components.
citing papers explorer
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Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
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Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
MOSAIC combines frozen-LLM semantic embeddings with hierarchical consistency objectives to report up to 3.4% AUC gains on knowledge-tracing benchmarks including a new MOOC dataset.
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SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context
SCRIPT is an adaptable intelligent tutoring system for Python that supports plug-in hint mechanisms including LLMs and operates within Germany's strict data privacy and AI ethics rules.
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Personalized AI Practice Replicates Learning Rate Regularity at Scale
Large-scale data from an AI platform confirms students have consistent learning rates (IQR 7.01-8.25 opportunities to 80% mastery) despite variable starting knowledge, replicating prior findings with automated knowledge components.