Systematic review dataset on chatbots and artificial intelligence in higher education in Latin America (2021–2026)
Description
This dataset contains the analytical matrix used in a systematic review on the use of chatbots and artificial intelligence in higher education in Latin America. It includes bibliographic, methodological, and analytical variables extracted from the selected studies (n = 18), organized according to PRISMA 2020 guidelines. The dataset enables transparency, reproducibility, and verification of the study selection, data extraction, and synthesis processes.
Files
Steps to reproduce
The dataset was developed as part of a systematic literature review on the use of chatbots and artificial intelligence in higher education in Latin America. The study followed PRISMA 2020 guidelines for identification, screening, eligibility, and inclusion of studies. Data were collected from multiple academic databases, including Scopus, Web of Science, SciELO, and Redalyc, to ensure coverage of both international and regional literature. A structured search strategy was applied using combinations of keywords such as “chatbot,” “artificial intelligence,” “ChatGPT,” “higher education,” and “Latin America,” in both English and Spanish. Inclusion criteria were: (a) publications between 2021 and 2026, (b) studies focused on higher education, (c) explicit use or analysis of chatbots or artificial intelligence, and (d) research conducted in Latin American contexts or directly related to the region. Exclusion criteria included studies outside the time frame, non-Latin American contexts, and records lacking sufficient methodological information. A total of 36 studies were initially identified, and after applying inclusion and exclusion criteria, 18 studies were retained for analysis. Data extraction was conducted using a structured Excel-based analytical matrix, including bibliographic information, methodological characteristics, research objectives, study design, sample description, instruments, data analysis techniques, key findings, and reported limitations. The dataset was organized and processed using Microsoft Excel, and no automated extraction software was used. Data were manually reviewed and validated to ensure consistency and accuracy. This dataset is intended to support transparency, reproducibility, and secondary analysis of research on artificial intelligence in higher education.
Institutions
- Autonomous University of TamaulipasTamaulipas, Ciudad Victoria