This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…

Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…

This paper contributes to the discourse in stochastic education of how young students deal with learning settings that allow a data-based approach to probability. By using the micro-structure of arguments by Toulmin (1958), it explores which arguments students use and which role they play in the learning process. The data stems from design…

We can fill the gap between theory (of ambitious teacher education) and practice (in mathematics classrooms) more easily, when we take into account that teacher education is not only explicit acquisition of knowledge and methods but also development of individual personal constructs of mathematics and mathematics education. But how can we get…