No significant GenAI-literacy-by-agent-condition interaction emerged, so the formal models did not support different literacy slopes across designs¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Neither domain knowledge nor agent condition had a significant unique association with AI-removal performance, and none of the literacy-by-agent interactions was significant. → Yueqiao Jin 2025

Evidence¶

Yueqiao Jin 2025¶

Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gašević and Lixiang Yan. (2025). The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal Reasoning. https://arxiv.org/abs/2507.04398 doi:10.48550/arxiv.2507.04398

q2 · i? · causal · r2

Null result from the prespecified ordinal regression models (n=79); the article states the formal models did not support different literacy slopes in the reactive and proactive conditions, and no effect size is printed for these null terms.

"Neither domain-specific knowledge nor agent condition had a significant unique association with AI-removal performance, and none of the GenAI-literacy-by-agent interactions was significant."

Discussion¶

Related Claims¶

• GenAI literacy predicted immediate independent writing performance after AI removal for Visual Data Integration, Critical Thinking, and overall Composite Score — related
• Perceived AI literacy moderates the direct path: the negative GenAI use–trust association is significant at low literacy and non-significant at high literacy — related
• Condition-specific mediation estimates showed a literacy–performance association in the reactive condition but not the proactive condition, with indirect effects not significant — possibly the same claim (merge candidate)
• Counterbalancing condition did not affect map accuracy and did not interact with test condition — related
• Proactive AI agent dialogues showed stronger conceptual–adequate reasoning links while reactive dialogues showed stronger factual/off-task associations — related