AI-assisted inquiry condition in which a conversational AI partner is embedded in climate-change inquiry¶
Design · All designs
Evidence · 4 claims (4 for) · 1 study (1 causal),q3· 0 of 1 report an effect size · 4 claims rest on one study
Description¶
The experimental condition embedded a conversational generative AI partner within inquiry-based learning on climate change, a socio-scientific issue. The article's design principle is that "AI helps most when it is designed to question rather than to answer," positioning the AI as a questioning partner rather than an answer provider. Students' verification behaviour — checking AI claims against sources — was tracked and predicted learning gains.
Design Implications¶
Context¶
Requirements¶
- The AI is designed to question rather than to answer
- The AI is embedded within an inquiry-based learning sequence
- Students check the AI's claims against sources
Constraints¶
Target Learners¶
- secondary students
Learning Goals¶
- decision-making on socio-scientific issues
- climate change reasoning
Claims¶
- Within the AI-assisted group, the frequency of checking the AI's claims against sources predicted decision-making gains, with no students flagged for over-reliance [+W]
- AI-assisted inquiry produced larger decision-making gains than inquiry-only and traditional instruction in secondary climate-change education [+W]
- The clearest AI-assisted advantages appeared on the stakeholder engagement, alternatives, implementation, and monitoring decision-making steps [+W]
- Between-group effect sizes on decision-making gains were large for AI-assisted versus traditional instruction and moderate-to-large for AI-assisted versus inquiry-only [+W]
Related Designs¶
Examples¶
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Key Sources¶
- Dimitrios Gousopoulos. (2026). Can AI-Assisted Inquiry Enhance Students' Decision-Making Skills in Socio-Scientific Issues? A Three-Group Experimental Study on Climate Change. International Journal of Advanced Multidisciplinary Research and Studies. https://doi.org/10.62225/2583049X.2026.6.3.6516
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
ai-assisted-inquiry-condition-climate |
title |
AI-assisted inquiry condition in which a conversational AI partner is embedded in climate-change inquiry |
description |
The experimental condition embedded a conversational generative AI partner within inquiry-based learning on climate change, a socio-scientific issue. |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — dimitrios-gousopoulos-2026 |
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