Dataset GAI in Higher Education
Description
The GAI in Higher Education Dataset compiles data extracted from a literature review on generative artificial intelligence in higher education. It includes bibliographic information, methodologies, applications, technologies used, benefits, challenges, ethical considerations, and key findings from scientific studies, as well as supporting bibliometric analyses, systematic literature reviews, and research on the adoption of GAI in universities.
Files
Steps to reproduce
Steps to Reproduce the Research Download the dataset in Microsoft Excel (.xlsx) format from the repository. Review and organize the data by verifying the variables, handling missing values if necessary, and preparing the dataset for analysis. Create Pivot Tables in Microsoft Excel to summarize and explore the data according to the research objectives (e.g., publication year, country, research methods, AI applications, or thematic categories). Analyze the results by identifying trends, frequencies, distributions, and relationships among the extracted variables. Interpret and report the findings, comparing the identified patterns with the existing literature and drawing conclusions about the use of Generative Artificial Intelligence in Higher Education.