15
Sep

©142781697-F8-stock-adobe.com
Workshop
Workshop: AI Literacy for School Communities
Practical Applications in Education
15.09.2025
3:00 pm - 6:00 pm
Vorhoelzer Forum (0501.05.166, 5th floor), Arcisstr. 21, 80333 Munich, Technical University of Munich
The Munich Center for Machine Learning warmly invites all MCML doctoral researchers to a workshop that builds on key outcomes of the recent MCML conference „KI und Schule im Dialog“.
The focus will be on how these insights can be translated into practical measures and resources that empower teachers and other key actors in schools to use AI technologies effectively. For the development of a professionalization concept for schools in Bavaria, the workshop will be held in German.
The workshop is organized in cooperation with KI-macht-Schule and the Chair of Computer Science Education (Department of Educational Sciences, TUM).
MCML doctoral researchers who would like to join can email Anna Schneider anna.m.schneider@tum.de.
This event is for MCML members only.
Organized by:
Anna Maria Schneider MCML
KI-macht-Schule
Chair of Computer Science Education (Department of Educational Sciences, TUM)
Related

Career Fair • 23.10.2025 • TranslaTUM at Klinikum rechts der Isar, Einsteinstraße 25 (Bau 522), 81675 Munich
Munich Career Fair AI & Data Science 2025
Munich Career Fair AI & Data Science 2025 on Oct 23 connects students with industry through talks, networking, and career opportunities.

MCML Stammtisch • 21.10.2025 • Trumpf oder Kritisch, Feilitschstraße 14, 80802 München
MCML Stammtisch - October Edition
We heartily invite to the next MCML-Stammtisch edition on 21st October, 2025.

The Onboarding • 21.10.2025 • Geschwister-Scholl-Platz 01 LMU Hauptgebäude Hörsaal E 006
MCML Onboarding Event
Onboarding event for MCML doctoral students with program overview and informal get-together.

Workshop • 24.09.2025 - 30.09.2025 • Richard-Wagner-Str. 10, Room D 105
MCML Workshop: Reproducibility and Scientific Computing
MCML workshop offers hands-on training in reproducibility, HPC, and packaging for early-career researchers.