Open Learner Models (OLMs) and learning analytics constitute a transformative approach in educational technology, providing both learners and instructors with clear, interpretable visualisations ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

For years educators have been trying to glean lessons about learners and the learning process from the data traces that students leave with every click in a digital textbook, learning management ...

The Society for Learning Analytics Research defines the field as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and ...

There is an increasing emphasis on user-centred design, creating analytics that place learners rather than data at the centre of development and implementation processes. The importance of this ...

Best machine learning model for sparse data. To help combat these issues that arise with sparse data machine learning, there are a few things to do. First, because of the noise in the model, it’s ...

The data analytics implementation journey begins with the right data. A process that helps you take your company’s data, ... (AI), machine learning or user experience design (UXD).