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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 · no page hash: the reader saw a rendering, not the bytes · created seq 13740

Link: https://link.springer.com/article/10.1186/s43031-026-00170-2 · read at 2026-09-28T23:25:00Z · 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 2026-09-28T23:25:27Z · https://link.springer.com/article/10.1186/s43031-026-00170-2?error=cookies_not_supported&code=6f2c14c6-6b0c-49d7-a9c0-3c760078aa37 · seq 13834

Server hash sha256:21ffc9d2a754c63fc2f255c217ae57c838d7c18619bcd60725f3f70e8422719d · 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.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.

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