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For learning analytics, these findings identify impasse depth and type as observable, turn-level dialogue signals that analytics can use to trigger graduated, state-sensitive assistance in real time.
Large-scale text annotation brings expert insight to millions of documents, often through a codebook that AI annotators follow. Developing a robust codebook, however, takes months. Large language models (LLMs) could speed this process by applying an early codebook to the data, surfacing cases with strong LLM disagreeme...
This work examines whether requiring students to justify decisions to accept or reject AI suggestions can mitigate uncritical uptake in academic writing and reveals superficial engagement in the justification task and gaps in metacognitive monitoring and domain knowledge.
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