Knowledge production is based on (1) interaction between experts by experience, experts in social services, students and researchers, as well as documents generated through the interaction, and on (2) research data that responds to the questions posed by work communities.
Praxis produces numerous documents that record local data about students’ practice research and theses, as well as different parties’ views on co-learning situations. They provide information on issues such as
- clients’ experiences of services
- the impact of services on people’s daily lives
- the challenges and solutions of those who implement social work
- the effects of service activity management
- students’ insights and reflections
- new initiatives based on research data.
Praxis does not operate only on the basis of a single meaning system or concept system. The parallel use of various meaning systems is typical of it, as are thinking and learning at their interfaces. This generates multifaceted knowledge that is challenging to analyse, interpret and make conclusions from, but doing it presents a societally important task.
To implement the aforementioned task, it is necessary to develop new data processing methods that enable the presentation of a holistic picture of the data along with a focus on determined key points, such as the location and relationships of cross-generational phenomena. The analysis tools of this data are a huge challenge for IT experts and those in charge of the Praxis activities.