Workplace-based Learning in the Industrie 4.0: Multi-perspective approaches and solutions for the shopfloor by Dr Carsten Ullrich

Dr Carsten Ullrich

German Research Center for Artificial Intelligence (DFKI), Germany

Workplace-based Learning in the Industrie 4.0

Multi-perspective approaches and solutions for the shopfloor

Today’s shop floor, the area of a factory where operatives assemble products, is a complex and demanding work environment. The employed and produced technology becomes ever more complex, and employees are responsible for an increasing amount of tasks. As a consequence, the employee is under constant pressure to solve problems occurring on the shop floor as fast as possible, and simultaneously to improve his work-related knowledge, skills, and capabilities. This keynotes presents the outcome of the APPsist project, which investigated how adaptive technology can support the employee on the shop floor in this challenging environment.

Biography

Dr. Carsten Ullrich is the associate head of the Educational Technology Lab (EdTec Lab) at the German Research Center for Artificial Intelligence (DFKI GmbH), and an associate researcher at the e-learning lab of Shanghai Jiao Tong University, China.
He received his PhD from the Department of Computer Science at Saarland University in 2008 with a thesis on pedagogically founded courseware generation for Web-Based Learning. Also in 2008, he moved to Shanghai, China, to become an associate researcher at Shanghai Jiao Tong University with a focus on web-based and mobile learning in adult education. In 2013, he returned to Berlin, Germany to become the associate head of the EdTec Lab.
Dr. Ullrich’s research covers technology-supported learning, with a focus on personalization and learner-support, applied in various domains such as mathematics, language learning and smart manufacturing.