Dataset for "Measuring AI Exposure in Teachers' Work: A Task-Based Analysis of Secondary Education"

This dataset supports the article Measuring AI Exposure in Teachers’ Work: A Task-Based Analysis of Secondary Education by Andrea Lupi and Marco Manieri. The repository contains the analytical materials used in the study, including:(1) the teacher-task corpus derived from Marzano-based task representations;(2) the AI-task corpus;(3) the outputs of the semantic-matching analysis based on cross-encoder comparison; and(4) the notebook documenting the analytical workflow. More specifically, the repository includes four files: Marzano_EN.xlsx, Task_AI_EN.xlsx, CrossEncoder_Comparison.xlsx, and CrossEncoder_Comparison.ipynb. These materials are shared to support transparency, replicability, and reuse of the analytical procedure described in the article. The repository contains researcher-constructed corpora and derived analytical outputs. It should therefore be understood as a research dataset supporting the study, rather than as an official or exhaustive representation of teacher work or AI capability taxonomies. Some source frameworks on which parts of the corpora are based remain subject to their original copyright and licensing conditions. Accordingly, this repository shares derived analytical representations and outputs rather than reproductions of proprietary source documents. The views expressed in the related article and in this repository are solely those of the authors and do not necessarily represent the views of their affiliated institutions.