This study provides a comprehensive analysis of learning analytics research trends from 2004 to January 2024. Key researchers, institutions, and emerging research themes in the field of …

We consider how to associate latent constructs of learning with observable data from a variety of data sources relevant to learning contexts, illustrated with examples from recent LAK …

This chapter focuses on elaborating tools which are prerequisite for data analytics and data processing. We will not only provide a vast overview, but will also introduce relevant theorems …

Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to uncover useful information, inform conclusions, and support decision-making.

The aim of this Guidebook is to provide an overview of learning analytics (LA) and increase academic staff’s knowledge, awareness and insights into how it can be used to enhance …

Multimodal learning analytics and education data mining: Using computational technologies to measure complex learning tasks. Journal of Learning Analytics, 3(2), 220-238.

This course gives students an introduction to predictive data analytics, a solid understanding of how machine learning solutions should be designed to meet a business need, insight into how …