Big data refers to the massive amounts of data produced by our technologies that are often difficult to analyze using traditional tools and methods. The value of big data in education and other fields comes from finding hidden patterns and trends through data mining and data analytics. The growth and development of learning analytics stems from the vast amounts of student and teacher data being generated by learning technologies, such as Learning Management Systems and other educational platforms. Essential data on learning is measured, collected, analyzed and reported on to better understand and solve problems relating to educational institutions, pedagogical decisions, curriculum development, and learner interactions.
Big data and learning analytics are buzzwords in education. As educational institutions drive to become more efficient and adopt learning analytics into their operations, it is important to consider security and privacy limitations, as well as the ethical impacts that these technologies bring.