Our goal is to improve the motivation and academic success of women in STEM fields through AI-based coaching. The low percentage of women and high dropout rates indicate an urgent need for action. Our solution is an AI coach serving as a personal assistant, independent of an e-learning platform and specific subject areas. The AI coach supports female students in developing their individual competencies, reflecting on their own learning models, and creating personalized learning strategies.

Aspects a chatbot could address

• Foster individual competence development and potentials
• Support self-directed and personalized learning
• Reflect on self-assessment and learning models
• Maintain or even increase personal motivation for the chosen field of study

Our target group is women in STEM fields studying at TUD Dresden University of Technology, regardless of their semester, both as the target group and participants in the development. Involving the target group in the process ensures precise adaptation to their needs. With students, for students!

Project Components

Structure and Process of our Project

Context Analysis – Interviews and Diary Study

How Do Female Students Learn? With What? When? Where?

To find the right approach and understand the needs, we start with a context analysis. We use methods from the Design Thinking Toolbox, beginning with a series of interviews and concluding with a diary study.

We are looking for women in STEM fields who can give us insights into their study habits.

Would you like to support us? Then feel free to contact us at ki-fem@tu-dresden.de.

Development of the AI Coach

In the course of the project, we are developing the AI coach as a progressive web app, which supports female students in the form of a natural language chatbot in coping with study tasks, promotes self-assessment (reflective dialogs) and resource orientation.

Formative and Summative Evaluation

Targeted and User-Oriented – That’s Our Main Focus!

We will discuss initial concepts of the chatbot with the target groups and evaluate many further development steps.

An AI-based tool becomes more targeted and precise through interaction and prompts. In multiple evaluation rounds, users will interact with the chatbot and the results will be assessed. After a feedback loop, the chatbot will be adjusted and enter the next cycle, allowing the functions to be tested by the target group.

We rely on your feedback. Interested in participating and testing the chatbot? Contact us at ki-fem@tu-dresden.de.

Important Documents for Participants

• Data Protection of the Funding Provider (German only)
• Data Protection of our Project (German only)

Any questions, comments, or suggestions?

Feel free to contact us!
ki-fem@tu-dresden.de

Project Updates

May-July 2024

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

October-November 2024

The context analysis is completed; the result is our personas that reflect the students. In the following survey, the personas can be evaluated.
Curious? Lime Survey on the personas

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 types, the knowledge topics of resilience and self-efficacy, our coach KIRA is ready to go.

Team

ScaDS.AI Dresden/Leipzig

• Dr.-Ing. Claudia Loitsch (Overall coordination)
• Chrakhan Barzanji (Project member)
• Niclas Rosteck (Project member)

Service Center Studium (SCS)

• Nicole Strauss (Head of SCS)
• Annika Lau (Project member)

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

• Sebastian Rottmann (Project member)