Teacher-GenAI Collaboration - Data and Code Package

This package accompanies the manuscript "Teacher-GenAI collaboration: A mixed-methods structural analysis of perceived functionality, ethical-pedagogical concerns, and institutional expectations." Contents - `Data.csv` - anonymized survey data (N = 406 teachers, Türkiye, May 2025). To protect participant privacy, the submission timestamp has been replaced by a random participant ID and the open-ended free-text column has been emptied (`OpenEnded_Excluded`). All Likert items and demographic categories are included; column headers are the original Turkish survey questions. - `sentiment_codes.csv` - text-free sentiment codes for the 66 open-ended respondents, implementing the study's dual-coder design: `RowIndex` (row in the cleaned N = 403 analysis frame), `HumanSentiment` (independent blind human coding by a single coder — the primary data), and `LLMSentiment` (Google Gemini 3.5 Flash as second coder). Codes: 1 = positive, 0 = neutral, -1 = negative. - `llm_sentiment_analyse.py` - the archived LLM coding pipeline: pins the explicit model identifier `gemini-3.5-flash` and contains the full coding prompt (requires a GEMINI_API_KEY and the unredacted survey file to run; distributed for transparency). - `Analyses.ipynb` - executable analysis notebook (English; Python 3.12; pandas, semopy, pingouin, factor_analyzer) reproducing every quantitative result, table, and figure in the article: measurement-model respecification (parallel analysis, EFA, HTMT), item-trimming record, split-half cross-validation, latent structural models, outlier sensitivity analyses, ANOVAs, common-method-bias checks, subsample representativeness tests, and the dual-coder sentiment analysis (correlations for both coders and Cohen's kappa). Reproduction Keep all files in one directory and run `Analyses.ipynb` top to bottom - it reads `Data.csv` and `sentiment_codes.csv` directly; no renaming or configuration is required. All results reported in the article reproduce. Raw open-ended texts are withheld for privacy and are available from the corresponding author on reasonable request.