LearnAI Framework¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 design),q1· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
A university-developed two-layer framework combining wide-scale AI-readiness exposure with customized co-creation support for mixed-ability learners.
Components¶
Claims¶
- Over two semesters the LearnAI deployment reached 18 courses (293 enrolled students) and 35 co-creation clients who produced 36 portfolio websites and over 20 deployed applications [+M]
- Client interviews suggest a recurring shift from treating AI as a passive answer machine (\"Oracle\") to engaging it as a collaborative tool under human direction (\"Process Partner\") [+W]
Related Products and Programmes¶
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Key Sources¶
- Weihao Qu, Ling Zheng, Chris Buzaid, and Daniel Crawford. 2026. LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University. https://arxiv.org/abs/2608.19164
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
learnai-framework |
title |
LearnAI Framework |
description |
A university-developed two-layer framework combining wide-scale AI-readiness exposure with customized co-creation support for mixed-ability learners. |
status |
review |
product_kind |
framework |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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