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¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · no dated study recorded · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Across Fall 2025 through Spring 2026, the Wide-Exposure layer reached 18 courses with 293 enrolled students, and the Co-Creation layer enrolled 35 clients who co-created 36 portfolio websites and over 20 deployed applications. → reach-1

Evidence¶

reach-1¶

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 doi:10.48550/arxiv.2608.19164

q2 · i? · design · r2

Deployment report from a single-institution experience report at a comprehensive teaching university, Fall 2025 through Spring 2026. The article states the wide-exposure layer "reached 18 courses (293 enrolled students)" and the co-creation layer "enrolled 35 clients" producing 36 portfolios and over 20 deployed applications. Artifact production reflects task completion, not measured learning gains.

"The Wide-Exposure layer reached 18 courses (293 enrolled students), and the Co-Creation layer enrolled 35 clients who co-created 36 portfolio websites and over 20 deployed applications."

Discussion¶

Related Claims¶

• Boundary cases: at least one non-technical client felt overwhelmed by multi-tool complexity, and a subset of surveyed students deliberately rejected AI use, framing the framework as serving the tentatively open — related
• Paired pre/post AI readiness scores rose descriptively from 82.5% to 89.9% (mean gain 7.4 percentage points) among seven co-creation clients, treated as descriptive context only — related
• Layer 1 survey (N=54) found mostly daily or weekly but largely passive AI use, with persistent ethical anxiety described as cheating fears or hallucination worries — related
• 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\") — related
• LEA's course-agnostic architecture was operationalised across three courses with no changes to the orchestrator, mastery tracker, or scaffolding engine — related