Learning Analytics for Teachers
Freie Universität Berlin
TU Chemnitz
at any time
Record of Achievement
6 hours
AI in schools
School offers the opportunity to spark children’s and young people’s interest in technology at an early stage and to strengthen their competences in confidently handling AI and data applications. Our online courses are aimed at student teachers and teachers who wish to expand their competences in dealing with artificial intelligence and data.
The AI Campus supports you with didactic handouts, teaching ideas, and practical materials. Learn how to address AI in the classroom using concrete examples, how AI-based tools can be implemented in everyday school life, and what impact they have on educational processes.
Selected courses
School generates data
Junge Tüftler
8 hours
Record of Achievement
4.4 (5)
German
AI Campus Original
AI in Schools
Data Literacy
Data literacy for primary schools
University of Bamberg
5 hours
Record of Achievement
4.25 (4)
German
AI Campus Original
AI in Schools
Data Literacy
Learning Analytics for Teachers
Freie Universität Berlin
6 hours
Record of Achievement
4.17 (6)
German
AI Campus Original
AI in Schools
Data Literacy
Selected blog posts
Experts
Universität Mannheim
Visit Prof. Dr. Dirk Ifenthaler homepage (opens in a new tab)
Pädagogische Hochschule Heidelberg
Visit Prof. Dr. Marco Kalz homepage (opens in a new tab)
Visit Prof. Dr. Marco Kalz LinkedIn (opens in a new tab)
Universität Stuttgart
Visit Prof Dr. Kristina Kögler homepage (opens in a new tab)
AI Explorables for Schools
IMAGINARY gGmbH
anytime
Record of Achievement
10 hours
Data literacy for primary schools
University of Bamberg
at any time
Record of Achievement
5 hours
AI and Sustainable Development Goals
Junge Tüftler
Fraunhofer IAIS
anytime
Confirmation of Participation
4 hours
School generates data
Junge Tüftler
Fraunhofer IAIS
at any time
Record of Achievement
8 hours
School empowers with AI
Junge Tüftler
Fraunhofer IAIS
at any time
Record of Achievement
8 hours
Dr. Isabella Buck
Isabella Buck holds a PhD in linguistics and works as an advisor for innovation and sustainability at the German Federation of Chemical Employers' Associations. Until mid-2025, she headed the LehrLernZentrum at RheinMain University of Applied Sciences (Wiesbaden), where she was, among other things, responsible for the Writing Center.
Machine Learning at School
Science on Stage
at any time
12 hours
AIce Your Exams – Generative AI as a Copilot in School and at the University
TU München
at any time
Record of Achievement
7 hours
Prof. Dr. Renata Szczepaniak
Universität Bamberg
She studied Slavic and German Studies at the Adam Mickiewicz University in Poznan and at the Johannes Gutenberg University in Mainz. From 2002 to 2005 she was a research assistant in Mainz and completed her doctorate there. In 2006, she worked as a research assistant in Mainz and at the Institute for the German Language in Mannheim, in the project Grammar of German in European Comparison. In October 2006, she became junior professor for historical linguistics of German in Mainz. From 2009 to 2017, she held the professorship for Linguistics of German with a focus on historical linguistics at the University of Hamburg. In 2017, she accepted the call to the Chair of German Linguistics at the University of Bamberg and moved to the Chair of Historical Linguistics of German at the University of Leipzig on 1 April 2022.