Big Data in Education: Real-Time Personalization of Learning

Resumen

Big data, as a branch of data science, has been seen as a transformative force in education, despite the potential benefits, such as improving the learning experience for students and enabling more informed educational decisions, there are also ethical, and privacy concerns related to the collection and use of student data. Personalization of learning involves adapting curriculum and teaching strategies to the individual needs of students, a process traditionally driven by the professional judgment of educators, however, the use of data analytics and algorithm-based systems has the potential to revolutionize how personalized education is understood and applied. As educational environments become data-rich ecosystems, it is crucial for institutions to develop a data-driven approach to improving learning outcomes. The importance of analyzing data in real time to adapt teaching and increase educational equity is emphasized.