Five-step prompting framework (Clarify, Organize, Integrate, Differentiate, Correct) operationalizing Generative Learning Theory in AI-supported review¶
Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal),q3· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
The article introduces a five-step interaction framework that translates Generative Learning Theory's selecting, organizing, and integrating processes into observable student–AI interaction behaviors during review. "The framework guides students through a structured sequence consisting of Clarify, Organize, Integrate, Differentiate, and Correct." Each step has an instructional purpose and example prompt (e.g., asking for the 2–3 most important key points, a real-world example, a commonly confused concept, and the most important misconception). The sequence structures AI use as guided cognitive activity rather than open-ended querying.
Design Implications¶
Context¶
Requirements¶
- A course-aligned generative AI platform with which learners can pose the structured prompts for each topic before proceeding to another
Constraints¶
- The structured sequence may not accommodate all individual learning preferences, and the study tested only this single prompting strategy without comparison to alternative designs
Target Learners¶
- undergraduate construction engineering students without prior construction management coursework
Learning Goals¶
- conceptual understanding, organization, and integration of course content during self-directed review
Claims¶
- Structured Prompting Improves Open Ended Ai Learning [+M]
- Prompted Ai Raises Overall Post Test Score [+M]
Related Designs¶
Examples¶
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Key Sources¶
- Xiaoyu Hou, Bo Xiao, Hexu Liu and Shane Mueller. (2026). The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education.
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
five-step-glt-prompting-framework |
title |
Five-step prompting framework (Clarify, Organize, Integrate, Differentiate, Correct) operationalizing Generative Learning Theory in AI-supported review |
description |
The article introduces a five-step interaction framework that translates Generative Learning Theory's selecting, organizing, and integrating processes into observable student–AI interaction behaviors during review. |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — xiaoyu-hou-2026 |
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