Content Collection
Analysing evidence
To generate, select, critically analyse and interpret digital evidence on learner activity, performance and progress, in order to inform teaching and learning.
Artificial intelligence (AI) is the ability of a computer, or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. More information Artificial intelligence in education IEEE Xplore Full-Text…
Machine Learning is a branch of artificial intelligence (AI) that allows software to learn from experience. It enables reasoning and decision making without of human interaction, i.e., based on statistical models to develop predictions. In our daily lives, machine learning…
Visual data analysis refers to highly advanced computational methods and graphics to make complex datasets easier to explore and visualize, revealing strong patterns and trends. It combines data analytics and data visualization techniques, given that these techniques help to see…
Track records are information about a learner’s progression along a given time span, namely dealing with performance, learning, development, marks, and attendance. Dealing mainly with the past, it can be a fundamental predictor of the learner’s future achievements, and a…
Checklists are a way to manage the learning workload and ensure that tasks get done. Activity checklists can help leaners to navigate through tasks at their own pace and according to their own needs. They also help teachers to monitor…
Educational data mining refers to the area of scientific inquiry focused on data that come from educational settings to discover useful information to better understand the learning process and the settings in which it occurs. It can be used, for…