The Use of Data Analytics in Managing Education Information: A Conceptual Review

Abstract

The integration of technology into the education sector has opened new pathways for more efficient educational management, particularly through the use of data analytics or nowadays it calls as learning analytics to manage educational data. Data analytics enables the collection, processing, and analysis of large volumes of data, providing valuable insights into student performance, teaching resource allocation, and institutional effectiveness in decision-making. These insights can support educators and administrators in improving academic programmed and institutional practices. This paper explores how data analytics is used to monitor student performance, support administrative decision-making, and assist in curriculum planning and improvement in schools and higher education institutions. A review of previous studies indicates that data analytics can significantly enhance the efficiency of educational management. In addition, a bibliometric analysis was conducted using Research Rabbit to examine research trends in data analytics within the education field. Research Rabbit extracts data from Semantic Scholar and organises it based on key findings provided by the user. The platform offers several built-in functions in its free version, allowing researchers to identify trends, key authors, and related studies in the field. By exploring connected research nodes and influential authors, deeper analysis can be conducted based on the relationships between studies and core findings.