Using large language models to complement humans for the coding of social media interactions between science teachers

Abstract This methodological paper investigates the viability of using Large Languages Models (LLMs) for the use of qualitative coding of posts to Facebook groups for science teachers. Categories for the coding, and the corresponding prompt for the LLMs, were engineered using an iterative process on...

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Bibliografiset tiedot

Päätekijät:	Robertson Burgess, Katie Waters, Erika Spray, Elena Prieto-Rodriguez
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2026-02-01
Sarja:	Discover Education
Aiheet:	Artificial intelligence Large language models Qualitative coding Methodology Prompt engineering Inter-coder reliability
Linkit:	https://doi.org/10.1007/s44217-025-00868-x
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