Design of Work Process Oriented Digital Learning Systems Based on Work Analysis

Digital learning media can extend traditional media concepts beyond the presentation of explicit knowledge. In this paper, a digital learning system for Technical Vocational Education and Training (TVET) is described that integrates the concept of learning from errors into work processes of company-based apprenticeships. The learning system detects action errors at work, simulates error consequences and visualizes possibly hazardous consequences in Augmented Reality. In order to do so, the digital learning system utilizes information gained from work analysis. Work analysis methods help to reveal and communicate variations in work processes. Traditionally, they support qualification research with empirical evidence on changes in work practice and need for adaption. This article investigates whether work analyses facilitate the development of digital learning media and didactic concepts in TVET. For this purpose, work processes in company-based apprenticeships have been analysed using structural and procedural work analysis methods. The results illustrate the contribution of work analysis on didactic conception using the Hamburg Model of Teaching Practice and Learning Practice and face a critical discussion. The article further provides an outlook on a desideratum, which focusses on the integration of structural and procedural work analysis results in a didactic compatible unified technical development framework.