A successful digitalization strategy involves training employees for new duties in a digital, networked production system. In the project »KIRA Pro – AI-based role navigator and automated learning path determination for continuing vocational training in the manufacturing sector« artificial intelligence is being created that will help industrial companies prepare their employees in a tailored fashion for the challenges of networked production.
The AI-based role navigator to be developed should make it possible to select branch-specific continuing education offerings in a manner appropriate to the individual employee in order to be able to develop and pursue customized learning paths. The AI solution thus helps those interested in continuing education to gain an overview of the enormous variety and heterogeneity of continuing education offerings and to identify professionally relevant offerings that build on one another. Such matching between corporate goals, existing competencies, and available further training opportunities makes it easier to navigate the vocational training market and eliminates the need for users to develop manual search strategies.
The algorithm that emerges in KIRA Pro will take into account preferences and the learning strategies of trainees when selecting offerings. For example, training courses, coaching, e-learning, or practical units can be regarded. The project thus also takes into consideration the trend toward smaller learning units and new learning formats. Continuing education offerings sourced from various renowned learning partners are fed into the system. One future goal is a user-friendly integration of 3000 professions and 12,000 skills of the European ESCO framework into the software.