The Use of Artificial Intelligence for Data Analysis in Educational Research
DOI:
https://doi.org/10.5281/zenodo.15370342Keywords:
artificial intelligence, educational research, data analysis, machine learning, natural language processing, student performance, educational policy, data accuracyAbstract
This study explores the application of artificial intelligence (Al) for data analysis in educational research. The aim is to investigate how AI can enhance the processing and interpretation of large educational datasets. Using machine learning algorithms and natural language processing, the research analyzes student performance data and feedback. The results demonstrate that AI significantly improves data accuracy, reduces processing time, and provides deeper insights into learning patterns. Furthermore, AI enables the identification of hidden trends and correlations that traditional methods may overlook. These findings underscore the potential of AI to transform educational research and inform evidence-based decision-making in educational policy and practice.
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Copyright (c) 2025 Olha Zadorina, Olha Serhiienko, Valery Kaminskyy
This work is licensed under a Creative Commons Attribution 4.0 International License.