AI-based coaching for women in STEM subjects to improve academic success
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Project description
Our aim is to improve the motivation and academic success of women in STEM subjects through AI-based coaching. Due to a low proportion of women and high drop-out rates, there is an acute need for action.
Our solution 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 a chatbot could address:
- Promote individual skills development and potential
- support self-directed and personalized learning
- reflect on your own self-assessments and learning model
- maintain or even increase personal motivation for the chosen field of study
Our target group are women studying STEM subjects at TU Dresden.
Regardless of which semester, as a target group and as participants in the development. By involving the target group in the process, we can ensure that it is precisely tailored to their needs.
With female students for female students!
Project modules
Structure and procedure of our project
How do female students learn? With what? When? Where?
To find the right approach and understand the needs, we start with a context analysis. To do this, we use methods from the DesignThinkingToolBox, starting with a series of interviews and concluding with a diary study.
We are looking for women from STEM subjects who can give us an insight into their learning during their studies.
Would you like to support us? Then please contact us at
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.
Target group-oriented and user-oriented - that is our main focus!
We will already discuss initial concepts of the chatbot with the target groups and also evaluate many further development steps.
An AI-based tool becomes more targeted and precise through interaction and prompts.
The chatbot is interacted with and the results evaluated in several evaluation series. After a feedback loop, the chatbot is adapted and enters the next loop so that the functions can also be tested by the target group.
We are dependent on your feedback. Would you like to take part and test the chatbot? Then get in touch at
Important documents for participants
Data protection of the funding body
Data protection of the project
Any questions, comments or suggestions?
Current news
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 to 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 could be launched. Our coach Metis is ready with 4 learning styles, the knowledge topics resilience and self-efficacy.
Contact and contact person
Our team
© Michael Kretzschmar
Leitung Nachwuchsforschungsgruppe
NameDr.-Ing. Claudia Loitsch
Bedarfsorientiertes KI-Coaching für Studierende, Projektleitung
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© M
Projektmitarbeiterin
NameMs Chrakhan Barzanji
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© Sven Ellger/TUD
Projektmitarbeiterin
NameMs Annika Lau
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© Sven Ellger/TUD
Projektmitarbeiter
NameMr Niclas Rosteck
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Projektmitarbeiter
NameMr Sebastian Rottmann
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ScaDS.AI is home to the junior research group on AI-based coaching for students.
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