learning analytics
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New Learner Digital Twin Uses Knowledge Graphs for Evidence-Grounded Early Warnings
Researchers have developed an incremental Learner Digital Twin, structured as a lightweight knowledge graph, to improve early-warning models in learning analytics. This system updates at temporal checkpoints by replayin…
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LLM consensus may mislead in diagnosing student math errors
A new study published on arXiv explores the reliability of large language models (LLMs) in diagnosing student failure modes within K-12 math tutoring dialogues. Researchers found that while LLMs showed moderate agreemen…
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AI virtual patient dialogues offer new insights into clinical reasoning
A new study published on arXiv explores how generative AI virtual patients can be used to generate interpretable evidence of clinical reasoning in medical education. Researchers analyzed over 1,000 virtual patient dialo…
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Study reveals GenAI literacy differences in student writing patterns
A new study published on arXiv explores how students interact with generative AI tools in academic writing. Researchers used Epistemic Network Analysis on interaction logs from 162 university students to identify patter…