Anna Radtke, Nikol Rummel and their colleagues have published a chapter in the anthology of the AI project. The chapter entitled “Learning Analytics in Educational Science: Learning data-based promotion of self-regulation in a statistics course” is part of the book “Learning Analytics and Artificial Intelligence in Studies and Teaching”, edited by P. Salden and J. Leschke and published by Springer VS, Wiesbaden.
In their chapter, Radtke, Osinski, Serova, Scheffel and Rummel investigate how learning analytics can be used to promote students’ self-regulation in a statistics course. The researchers present innovative approaches to using learning data to support students and improve their learning processes.
This publication is a significant contribution to the advancement of educational science and demonstrates how artificial intelligence and learning analytics can be used effectively in higher education to optimise learning.
The full text is available in the anthology “Learning Analytics and Artificial Intelligence in Teaching and Learning” and can be viewed here.