Teacher AI Literacy for ML Learner Instruction

This repository contains de-identified survey data, a codebook, and reproducible analysis scripts supporting the study Teacher AI Literacy for Multilingual Learner (ML) Instruction. The dataset includes item-level responses for a 12-item Teacher AI Literacy scale (AIL01–AIL12), a 4-item Responsible AI-Use Intentions scale (INT01–INT04), and four vignette-based decision-quality indicators (VIG01–VIG04), along with de-identified background variables and computed composite scores. A detailed codebook documents variable names, coding, and scoring. Analysis scripts (R and SPSS) reproduce the primary descriptive, reliability, correlational, regression, and exploratory subgroup analyses reported in the manuscript. For privacy protection, direct identifiers have been removed and demographic fields are reduced; a quant-only dataset is included for fully public sharing.