Artificial intelligence in financial education and over-indebtedness prevention

The project

KIfB

The initial aim of the project is to develop practical and evaluated learning and counselling environments for various target groups (school pupils, refugees, older people, people with over-indebtedness challenges) based on artificial intelligence. Through the theory-based and empirically supported use of these environments in different application scenarios by various practice partners, extensive knowledge is to be generated that will enable the evidence-based use of generative AI in over-indebtedness prevention and financial education. In order to achieve this, close collaboration with various practice partners is taking place in accordance with the design-based research approach (DBR).
For each of the four sub-projects, a requirements profile for the AI models is first defined depending on the specific objectives and the needs of the target group, and suitable data and documents for the model training are identified. Based on this, the models are selected and customised. At the same time, didactic concepts and materials for the use of AI are developed. Data collection tools to answer the research questions are then designed and validated. This is followed by iterative phases of testing and optimising the learning environments. Finally, the results are analysed and disseminated, e.g. at a conference, in publications for different target groups and via a project website.