3. Traditional learning analytics
Traditional learning analytics involves collecting and analysing data about learners' past activities during the educational process. This includes information such as grades, test scores, number of assignments completed, time spent on the platform, and other quantifiable activities.
This approach is primarily used to track and report past events – for example, how successfully a learner completed assignments or how much time they spent learning. The goal is to provide instructors and learners with an overview of progress and to identify potential problems in monitoring learning.
While traditional analytics are mostly descriptive, some methods also include basic predictive analytics, such as using statistical models to predict outcomes based on past performance. However, these predictions are often limited and do not account for the broader range of data that artificial intelligence can process.
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