Home | News

01.08.2025

Teaser image to MCML Hosts “AI and School in Dialogue”

MCML Hosts “AI and School in Dialogue”

How Can Schools Prepare the Next Generation for an AI-Driven World?

This week, the Munich Center for Machine Learning hosted the event „KI und Schule im Dialog – Forschung, Bildungspolitik und Unterrichtspraxis” (AI and school in dialogue - research, education policy and teaching practice).

Participants discussed practical approaches to integrating AI in schools, focusing on empowering teachers and schools to use AI effectively and responsibly. Topics included AI competence development, teacher training challenges, curriculum adaptation, and the importance of cooperation between research, education policy, and schools.

The event brought together stakeholders from several institutions, including the Didactics Institute and the Mathematics Department at the University of Augsburg, the Bavarian State Ministry of Education, the Bavarian State Institute for School Quality and Education (Bayerisches Staatsinstitut für Schulqualität und Bildungsforschung), the Helmholtz Association, TüftelLab, LMU, TUM, and MCML. From MCML, Moritz Herrmann, Steffen Schneider as well as Director Bernd Bischl provided insights.

The event emphasized the need for accessible learning formats, professional development, and establishing sustainable structures to embed AI learning in schools.

We are looking forward to continuing our collaboration with all involved institutions to support AI education in Bavaria and beyond.


AIandSchools1
AIandSchools2
#event #research #outreach

Related

Tiny logo
Link to MCML at COLT 2026

26.06.2026

MCML at COLT 2026

MCML researchers are represented with 1 paper at COLT 2026.

Read more
Tiny logo
Link to MCML at WWW 2026

26.06.2026

MCML at WWW 2026

MCML researchers are represented with 1 paper at WWW 2026.

Read more
Link to FIFA World Cup: How well can AI predict sports results?

19.06.2026

FIFA World Cup: How Well Can AI Predict Sports Results?

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Tiny logo
Link to MCML at DIS 2026

12.06.2026

MCML at DIS 2026

MCML researchers are represented with 1 paper at DIS 2026.

Read more
Link to MCML PI Tom Sterkenburg Receives 2026 Simon Award

12.06.2026

MCML PI Tom Sterkenburg Receives 2026 Simon Award

Tom Sterkenburg receives the 2026 Simon Award for research at the intersection of computing, philosophy, and machine learning.

Read more
Back to Top