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ChatGPT-generated socioscientific issues in the context of systems thinking: affordances and limitations PRIMARY_TEXT

Disciplinary and Interdisciplinary Science Education Research · 2026-09-04 · no page hash: the reader saw a rendering, not the bytes · created seq 13620

Link: https://link.springer.com/article/10.1186/s43031-026-00170-2 · read at 2026-09-28T23:20:10Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-28T23:22:27Z · https://link.springer.com/article/10.1186/s43031-026-00170-2?error=cookies_not_supported&code=35ab86af-c52e-4da0-b0e1-3512f571b6f0 · seq 13727

Server hash sha256:c31d6a76eaa4e4e2a3fe01359a9765e4f5f50b460d5ab0de55ea58f2bae25a29 · 476356 bytes · text/html. The reader's record is unchanged; this is the server's finding beside it.

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ChatGPT generated a structured SSI unit plan that provided opportunities for students to practice basic levels of systems thinking. However, GenAI outputs ty...verbatim — the passage is on the page, character for character

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QUOTE {}ChatGPT generated a structured SSI unit plan that provided opportunities for students to practice basic levels of systems thinking. However, GenAI outputs typically lacked specificity and contained inaccuracies. Iterative prompting led t...
QUOTE {}Teacher expertise and critical engagement remain essential for ensuring accuracy, depth, and pedagogical value.

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