USE OF BIG DATA IN EDUCATION: HOW ANALYTICS SUPPORTS PEDAGOGICAL DECISIONS

Abstract

The emergence of Educational Analytics and the use of Big Data are revolutionizing the way educational institutions approach pedagogical decision-making. This study analyzes the transformative impact of these technologies on the contemporary educational landscape, exploring how the collection, analysis, and interpretation of large volumes of data can significantly improve teaching-learning processes. The research examines the methodologies employed in the implementation of Educational Analytics systems, highlighting their potential to personalize learning experiences, identify student performance patterns and optimize pedagogical strategies. The ethical and practical challenges associated with the use of educational data on a large scale are discussed, including issues of privacy, security and equity in access to information. The study also investigates the crucial role of teacher training in the age of Big Data, emphasizing the need to develop analytical skills among educators. The results indicate that Educational Analytics, when implemented ethically and effectively, can provide valuable insights for educators and managers, allowing for more accurate and timely pedagogical interventions. It is concluded that while the use of Big Data in education offers significant potential to improve learning outcomes, its successful adoption requires a balanced approach that considers both the benefits and risks associated with this emerging technology.