📄 Research Article
Informal Learning Emerges in Everyday Human-LLM Interaction
As LLMs take over task execution, a central worry is that everyday AI use becomes cognitive offloading that erodes people's own capability development. This study analyses 128,569 naturalistic human-LLM conversations, translating learning-science constructs into turn-level behavioural signatures to test whether informal learning actually emerges in routine use.
The authors find that users do engage in learning-supporting behaviours — cognitive engagement, self-explanation, and elaboration — within ordinary LLM interactions, tempering the pure offloading concern. The analysis contributes to debates on AI Literacy and the risks of Over Reliance, and reframes Student Experience as a site where incidental learning can occur. It also informs Self Regulated Learning and Metacognition research by quantifying how conversational patterns either preserve or displace opportunities to think.
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Citation
Zixin Chen, Haotian Li, Ziang Xiao, Huamin Qu, et al. (2026). Informal Learning Emerges in Everyday Human-LLM Interaction. arXiv:2607.17643. arXiv:2607.17643 [cs.HC].