Argumentative dialogs between humans and generative AI can support knowledge transformation when prompted appropriately¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? With appropriate prompts, argumentative dialogs among humans and AI tools can be achieved in which emergent processes of joint knowledge construction may take place. → Ulrike Cress · Joachim Kimmerle 2023
Evidence¶
Ulrike Cress · Joachim Kimmerle 2023¶
Ulrike Cress · Joachim Kimmerle. (2023). Co-constructing knowledge with generative AI tools: Reflections from a CSCL perspective. Intern. J. Comput.-Support. Collab. Learn. https://doi.org/10.1007/s11412-023-09409-w
q1 · i? · theoretical · r2
Theoretical position stated in the abstract and elaborated in the discussion. The authors argue that dialogs 'with appropriate prompts' can enable emergent joint knowledge construction. This is an argued assumption, not a tested result.
"We suggest, however, that argumentative dialogs among humans and AI tools can be achieved with appropriate prompts, where emergent processes of joint knowledge construction can take place."
Discussion¶
Related Claims¶
- Distributed epistemic agency emerges as learners attribute authority to AI outputs and shift responsibility for knowledge validation, though some engage dialogically — related
- GenAI can support learner agency through self-regulated learning, self-efficacy, and feedback literacy under appropriate conditions — related
- In interviews with 25 engineering students at one Swedish university, students described GenAI as acceptable when it stimulates reflection and directly copying its outputs as cheating, and one used its fallibility as a prompt to double-check — related
- Using generative AI as a dialogic partner for brainstorming, feedback, and co-construction can support constructive and interactive learning — possibly the same claim (merge candidate)
- Human-AI collaboration requires refined group-awareness concepts for asymmetrical relationships between users and AI partners — related
- Low-level feedback automation is appropriate only for sentence-level clarity; argumentative unclarity should trigger human review — related
- AI involvement at the intermediate feedback level is appropriate only if five non-negotiable boundary principles hold simultaneously — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
human-ai-argumentative-dialog-knowledge-transformation |
title |
Argumentative dialogs between humans and generative AI can support knowledge transformation when prompted appropriately |
description |
Argumentative dialogs between humans and generative AI can support knowledge transformation when prompted appropriately |
status |
review |
evidence_strength |
weak |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ulrike-cress-joachim-kimmerle-2023 |
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