The two fundamental problems in machine learning (ML) are statistical analysis and algorithm design. The former tells us the principles of the mathematical models that we establish from the observation data. The latter defines the conditions on which ...
Learning analytics (LA) as a field remains in its infancy. Many of the techniques now prominent from practitioners have been drawn from various fields, including HCI, statistics, computer science, and learning sciences. In order for LA to grow and ...
Applying machine learning techniques to predict learning outcomes through learning analytics is a research direction of current interest, especially in online courses. In this paper, we present the results from experimenting with machine learning ...
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