Since 2015, the (vocational) education system has been geared toward teaching competencies in all areas of training. This is no longer just about imparting mere knowledge about a subject or mastering a certain defined work process. Those who have competencies in a particular area can combine their knowledge of that area with their skills and abilities in that area, and will be able to act and find solutions individually, depending on the requirements set.
Basic professional competencies are generally divided into the areas of professional, social and personal competencies. These areas are in turn subdivided into individual sub-competencies.
The digitization process, which is permeating and changing the entire working world in all areas, has added another important basic professional competence in recent years that needs to be learned: digital competencies!
Digital competencies are already of great importance for today's working world, and they will become even more important for most jobs in the future. A suitable basis for "digital competencies" is provided by the so-called "European Reference Framework (for) Digital Competencies" (DigComp). It comprises five areas, which in turn summarize 21 individual sub-competencies. The five competence areas are:
- Information and data literacy
- Communication and collaboration
- Digital content creation
- Problem solving
The work package "Competencies" investigates which competencies the participants need to master in order to be able to use the AI-based assistance system successfully and profitably in the daily routine of vocational rehabilitation, but also with regard to (re-)entering the labor market.
For the testing of the AI-based assistance technologies in the innovation spaces, all participants will attend training courses on the topic of "digital competencies" in advance. On the one hand, the trainings should help to create a basic and general understanding of artificial intelligence and digitalization. On the other hand, very specific digital competencies are to be promoted among the participants so that they can also make ideal use of the tested AI-based assistance systems.
Source: Federal Institute for Vocational Education and Training on the concept of competence and competence orientation in vocational training