The KI_FEM project

Our goal is to improve the motivation and academic success of women in STEM subjects through AI-based coaching. Due to the low proportion of women and high drop-out rates, there is an acute need for action.

Our solution metis is an AI coach as a personal assistant, outside of an e-learning platform and independent of a specific subject area or subject field. The AI coach supports female students in their intrinsic motivation, self-reflection on their own learning model and the development of individual learning strategies.

Aspects that metis can promote

• promote individual skills development and potential
• support self-directed and personalized learning
• reflect on your own self-assessment and learning model
• maintain or even increase personal motivation for the chosen field of study

Topics covered by metis

• learning strategies
• resilience
• self-organization
• self-efficacy
• stress management
• scientific work
• time management

Important documents for participants

• Data protection of the funding body
• Data protection of the project

Any questions, comments or suggestions?

Then get in touch with us!
ki-fem@tu-dresden.de

Current news

January 2026

Our major evaluation is coming to an end. How is Kira being received by students? What wishes and suggestions for improvement have emerged? The next development sprint is now being created in the spirit of participatory development.

October 2025

New design – metis is one step ahead. Thanks to student support in our Studium Generale seminar.
Our innovation is Kira, a specific coaching bot. Whether it’s a conversation about learning strategies or student needs, Kira advises using systemic methods.

June 2025

Through focus groups, seminars, lectures and design thinking workshops, we share our Evaulations stand of Metis with prospective students and students. What features? Attractive quiz? Flow of conversation? Topics and content?
Thanks to the expertise of our students, we find out exactly which challenges require support in STEM studies.

January 2025

The MVP of our chatbot is ready for testing! Thanks to the first feedback loop with our Studium Generale course “Participatory Methods for Teaching and Learning”, the first variant was launched. With 4 learning styles, the knowledge topics resilience and self-efficacy, our coach metis is ready.

October 2024

The context analysis is finished, the result are our personas that reflect the students. Curious? Our personas are published here.

July 2024

We are currently in the context analysis phase, where we want to get to know our target group. By inviting students from as many different degree programs as possible for an interview, we gain very diverse insights into different learning strategies and environments.

Team

ScaDS.AI Dresden/Leipzig

• Dr.-Ing. Claudia Loitsch (Overall coordination)
• Julian Striegel (Projekt member)
• Niclas Rosteck (Project member)
• Sebastian Eberl (Project member)

Service Center Studium (SCS)

• Nicole Strauss (Head of SCS)
• Emilie Peters (Project member)

Chair of Human-Computer Interaction, TUD Dresden University of Technology

• Sebastian Rottmann (Project member)