Dual-process reasoning hazards framework with hazard-matched questioning strategies¶
Design · All designs
Evidence · no claims cited
Description¶
Dual-process theories describe reasoning as the interplay of a fast, automatic Process 1 producing a provisional mental model and a slow, effortful Process 2 that evaluates it. Physics education research maps four hazards along the reasoning path: intuition may supply an incorrect first model (A); a confident reasoner may accept it without scrutiny (B); analysis may be biased towards rationalising the initial answer (C); or the mindware may be insufficient to detect the error (D). The course matched each hazard to a questioning strategy from the ISLE framework: guiding questions for A and B, conflict between formula and known result for C, and falling-back questions for D.
Design Implications¶
Context¶
Requirements¶
- Each hazard was explicitly matched to a strategy in the lesson preceding the simulation.
Constraints¶
- Hazards are failure points of a process, not student types; reifying them as stable characters is a simplification.
Target Learners¶
- prospective physics teachers
- secondary-school physics students whose reasoning the teachers diagnose
Learning Goals¶
- diagnosing student reasoning hazards
- selecting questions matched to the hazard
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- Eugenio Tufino. (2026). A multi-agent AI classroom based on dual-process reasoning hazards: a pilot with prospective physics teachers. https://huggingface.co/spaces
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
dpt-hazards-framework-and-matched-questioning |
title |
Dual-process reasoning hazards framework with hazard-matched questioning strategies |
description |
Dual-process theories describe reasoning as the interplay of a fast, automatic Process 1 producing a provisional mental model and a slow, effortful Process 2 that evaluates it. |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — eugenio-tufino-2026 |
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