Four types of LLM reliance (Strategic 34.3%, Instrumental 30.9%, Dialogic 30.4%, Dependent 4.5%) were identified among undergraduates, with AI literacy predicting type and value/cost beliefs predicting intensity.
A systematic review of AI literacy scales
4 Pith papers cite this work, alongside 133 external citations. Polarity classification is still indexing.
4
Pith papers citing it
133
external citations · Crossref
citation-role summary
background 2
citation-polarity summary
years
2026 4roles
background 2polarities
background 2representative citing papers
The Perceived Cooperativity Scale and Teaming Perception Scale were developed from theory and validated across three studies to reliably measure subjective quality of human-AI cooperation.
The paper names 'agentic literacy debt' as the structural deficit from deploying autonomous AI agents without literacy infrastructure for users to govern them.
Students integrate AI into academic writing through three value-oriented configurations: early-stage for learning and exploration, late-stage for quality and refinement, and peripheral for productivity and momentum.
citing papers explorer
-
Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University
Four types of LLM reliance (Strategic 34.3%, Instrumental 30.9%, Dialogic 30.4%, Dependent 4.5%) were identified among undergraduates, with AI literacy predicting type and value/cost beliefs predicting intensity.
-
Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
The paper names 'agentic literacy debt' as the structural deficit from deploying autonomous AI agents without literacy infrastructure for users to govern them.