BIG DATA IN EDUCATION: ANALYZING THE FUTURE OF LEARNING THROUGH DATA COLLECTION AND ANALYSIS

Abstract

This study aimed to analyze how data collection and analysis through Big Data could influence the future of learning by promoting personalized education and improving educational quality. The research was bibliographic in nature with a qualitative approach, focusing on a review of specialized literature on the use of Big Data in education. Key methods of data collection were discussed, including e-learning platforms, mobile devices, and educational applications, as well as data analysis tools such as Learning Analytics and Artificial Intelligence. The findings indicated that Big Data holds significant potential to personalize education by tailoring pedagogical practices to students' individual needs. However, challenges such as insufficient technological infrastructure, a lack of trained professionals, and ethical concerns regarding data privacy were identified. The study emphasized the importance of training educators and administrators for the effective use of these technologies, as well as the need for research on the long-term impacts of Big Data in education. Ultimately, the study contributed to understanding the transformative role of Big Data in education, highlighting the need for advancements in the implementation of these technologies in educational institutions.