Assessment shifts from the quality of AI-generated text to articulating tasks, justifying prompt choices, and reflexively evaluating AI behaviour¶

Claim · All claims
Evidence · 1 study · design r1 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? The proposed pedagogy evaluates students on how they define tasks, justify prompts, and critically evaluate AI behaviour rather than on the quality of AI-generated text. → Laurence Dierickx 2026

Evidence¶

Laurence Dierickx 2026¶

Laurence Dierickx, Fredrik Bjerknes, Andreas L. Opdahl, Carl-Gustav Lindén. (2026). A Taxonomy of LLM-Supported Tasks for Critical AI Literacy in Journalism. Postdigital Science and Education. https://doi.org/10.1007/s42438-026-00690-0

q1 · i? · design · r1

Authors' design recommendation in the classroom-practice section, where students define tasks, formulate prompts, analyse AI outputs, and critically evaluate ethical risks before revising their instructions. This is a stated pedagogical proposal, not a tested result; the paper notes the taxonomy requires classroom validation.

"Rather than evaluating stu- dents on the ‘quality’ of AI-generated text, this approach shifts the focus of assess- ment towards articulating tasks, justifying prompt choices, and reflexively evaluat- ing AI behaviour."

Discussion¶

Related Claims¶

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