Information about the Interview Series
Spotlight: Data Literacy Teaching Lab
In our series 'Spotlight: Data Literacy Teaching Lab' we talk to teachers whose teaching projects were funded by the Digital and Data Literacy in Teaching Lab (DDLitLab) at the University of Hamburg. What were the innovative ideas of the projects? What were the special didactic and content-related challenges, but also highlights? And are there perhaps concrete tips for other teachers who also want to start a new teaching project and are looking for experience reports? We clarify this and more in our look at and behind the scenes. Spotlight on!
Concept & Production: Julia Pawlowski, Sven Rehder, Simon Steinhauser, unterstützt von Laura Aguilera
Participants: Maimon Thiems, Prof. Dr. Sandra Schulz, Moritz Kreinsen, Prof. Dr. Sandra Sprenger
Apr 23 - Mar 24 (12 months) | Round 2
Faculty of Educational Science
Funding Line: Transfer-orientated data literacy
Event Type: Seminar
External WebsiteAI crash course for student teachers and pupils in year 8: concepts such as “AI Unplugged” enable not only secondary school pupils but also student teachers of all subjects to learn valuable knowledge about how AI works. In co-creation, small research projects are also created in which the knowledge learnt is directly applied.
In this interview, Moritz Kreinsen tells us about his teaching project ‘Teacher AID Lab - Interdisciplinary AI + Data Lab in Teacher Education’, which was funded by the Digital and Data Literacy in Teaching Lab (DDLitLab for short) in 2023 and 2024 and carried out at the Faculty of Education at the University of Hamburg and the Schülerforschungszentrum Hamburg.
The aim: to give Master’s degree students in all subjects a quick introduction to the basics of AI and also to encourage them to gain practical experience working with pupils beyond the usual internships.