Gao & Zhang 2026 specify what the "epistemic supervision" called for by Han & Liu 2026 looks like in practice: supervisors had students "mark AI-influenced parts and explain why suggestions were accepted or rejected," which "pushed [them] to connect AI outputs with source evidence, methodological assumptions, and argumentative responsibility."
Han & Liu explicitly call for 'epistemic supervision through explanation, verification and reflective AI use,' and Gao & Zhang's cited text states verbatim that supervisors asked students to mark AI-influenced parts and explain why suggestions were accepted or rejected, pushing them to connect AI outputs with source evidence, methodological assumptions, and argumentative responsibility.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:46
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
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“position supervisory support as a relational foundation for epistemic supervision through explanation, verification and reflective AI use”
Abstract · no page number · evidence E16
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“When supervisors asked students to mark AI-influenced parts and explain why suggestions were accepted or rejected, students were pushed to connect AI outputs with source evidence, methodological assumptions, and argumentative responsibility.”
Full-text passage · no page number · evidence E19
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.