Main Article Content
Abstract
The use of big data in the education sector is now the main focus in efforts to improve
the learning process and strategic decision making. Big data provides a valuable resource for
analyzing data generated by educational institutions, such as student data, attendance,
evaluations, and classroom interactions. However, the use of big data also faces various
challenges, including data privacy and security protection, data integrity, and limited
technological resources and analytical expertise. This research combines qualitative and
quantitative approaches to describe the benefits and challenges of using big data in
educational institutions. The research results show that the application of big data can improve
operational efficiency, decision-making effectiveness and student learning experiences.
However, the importance of protecting data privacy and security as well as developing
analytical resources and expertise must be considered to maximize the benefits of big data.
Recommendations for educational institutions include special attention to the use of big data
in decision making, personalization of learning, and increased operational efficiency.