1. Introduction
Today, education systems generate vast amounts of data about learners’ activities and progress. This data can be analysed to better understand learners’ needs and adjust the learning process.
The main difference between traditional analytics and AI-based analytics lies in their capabilities and opportunities. Traditional analytics uses data about what a learner did and how they did it. In contrast, AI-based analytics relies on predictive analysis in three areas: forecasting future outcomes, producing personalised recommendations for each learner, and providing automatic, immediate feedback. This significantly improves the efficiency and quality of education.
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