USC Internal Grant: Cross-National GenAI Adoption Among K–12 Teachers (US & China)
Published:
Overview
A USC Rossier School of Education Internal Research Funds Grant project (2025–2026, $1,500) examining why K–12 teachers in the United States and China differ in their adoption of generative AI tools. The study draws on cross-cultural survey data and applies structural modeling to identify institutional, attitudinal, and contextual predictors.
Research Questions
- What factors explain cross-national differences in K–12 teacher GenAI adoption between the US and China?
- How do institutional support, AI self-efficacy, and policy environment moderate adoption?
Methods
- Cross-national survey design
- Structural Equation Modeling (SEM)
- Comparative cross-cultural analysis
- Multi-group measurement invariance testing
Funding
USC Rossier School of Education Internal Research Funds Grant, 2025–2026
Status
Data collection in progress