Generative AI in Academic Research: Database on Usage, Perception and Productivity Variables (Latin America, 2022-2025)

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Authors: Juan Moisés de la Serna
Cited by: 0

Abstract

Generative AI in Academic Research: Database on Usage, Perception and Productivity Variables (Latin America, 2022-2025) Structured database on the use of generative artificial intelligence (GAI) in academic research and university teaching in Latin America (2022-2025). Includes data on: frequency of use by students and researchers, areas of application (writing, data analysis, programming), perception of reliability and ethics, and impact on scientific productivity. Data collected from regional studies, institutional surveys and indexed scientific literature. Designed for measurement through structured questionnaires applied to university students and researchers. 📋 Dataset Information DOI: 10.5281/zenodo.19150845 Version: 1.0.2 License: CC BY 4.0 Data files: 1 CSV file(s) Total files: 24 files (data + FAIR documentation) 🗃️ Files Included Generative_AI_Academic_Research_Database_LatinAmerica_2022_2025.csv — Data in CSV format (UTF-8) README.md — Dataset overview CODEBOOK.md — Variable dictionary METHODOLOGY.md — Study design and methodology CITATION.cff / CITATION.bib / CITATION.ris — Citation formats datapackage.json — Frictionless Data descriptor dataset_description.json — schema.org metadata (Google Dataset Search) schema.json — Formal column structure checksums.txt — MD5/SHA256 hashes for integrity verification 📖 How to Cite de la Serna, Juan Moises (2026). Generative AI in Academic Research: Database on Usage, Perception and Productivity Variables (Latin America, 2022-2025). Zenodo. 10.5281/zenodo.19150845 🔑 Keywords artificial intelligence, generative AI, large language models, ChatGPT, academic research, Latin America, Latin America and the Caribbean, CEPAL/ECLAC ⚖️ License and Use Published under Creative Commons Attribution 4.0 International (CC BY 4.0). Free to share, adapt, and use commercially with appropriate attribution. 👤 Author de la Serna, Juan Moises — ORCID: 0000-0002-8401-8018 —

Fields of Study & Subjects

Artificial Intelligence in Education Artificial Intelligence Applications Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN
Document type
Dataset