õppimisanalüüsid

õppimisanalüüsid is the Estonian term for learning analytics. It refers to the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. This field combines aspects of educational research, data mining, and computer science to gain insights into how students learn.

The primary goal of learning analytics is to improve educational outcomes. By analyzing data such as student performance on assignments, engagement with learning materials, participation in online discussions, and time spent on tasks, educators and institutions can identify patterns, predict potential difficulties, and intervene to provide targeted support. This can lead to more personalized learning experiences, improved student retention rates, and more effective pedagogical strategies.

Learning analytics encompasses a wide range of data sources and analytical techniques. These can include data from learning management systems (LMS), digital textbooks, educational games, online assessment tools, and even social media platforms used in an educational context. The analysis might involve statistical modeling, machine learning algorithms, or visualization techniques to make complex data understandable. The ethical implications of collecting and using student data are also a significant consideration within the field, emphasizing privacy and responsible data governance.