Our goal: Development of a virtual teaching-learning platform (LUCA) for commercial training and further education that enables individual support and automated diagnostics – based on AI mechanisms (log data-based real-time analyses, machine learning), among other things.
As a result of the digitization-related “skill shift,” commercial work activities are also increasingly characterized by complex problems, as simple routine activities are often automated. Therefore, future business people should already work on complex work scenarios during their training. In the PSA-SIM project, the office simulation LUCA is therefore being developed – following on from the ASCOT projects DomPL-IK and CoBALIT – which promotes the skills of trainees in the professions of industrial clerk and office management clerk and enables teachers and trainers to easily develop virtual lessons in an office simulation.
Our approach: Technical innovation, empirical longitudinal design, and practice transfer.
The software employs several innovative technologies: (partially) automated evaluation procedures for written text responses are provided in order to efficiently evaluate the test results of large groups of participants. In addition, the software analyzes learners' problem-solving processes in real time and provides individualized support based on these log data analyses. Using a larger sample of trainees, the project will investigate how competencies develop over the course of training and how individualized support can be provided in LUCA. Extensive training measures are being developed and implemented for practitioners.
Prof. Dr. Andreas Rausch (Interconnector)
Braunstein, A., Deutscher, V., Seifried, J., Winther, E. und Rausch, A. (2022). A taxonomy of social embedding – A systematic review of virtual learning simulations in vocational and professional learning. Studies in Educational Evaluation, 72.
Rausch, A., Deutscher, V., Seifried, J., Brandt, S. und Winther, E. (2021). Die web-basierte Bürosimulation LUCA – Funktionen, Einsatzmöglichkeiten und Forschungsausblick. Zeitschrift für Berufs- und Wirtschaftspädagogik : ZBW, 117, 372–394.