Learning Outcomes Based Evaluation of HPC Professional Training
Nia Alexandrov, María-Ribera Sancho · Procedia Computer Science · 2017
Supercomputing Centres worldwide, such as BSC, face the challenge of supporting a growing base of HPC users with little or no HPC experience and with mainly scientific background. In addition, HPC training centres feel the need to respond to the clearly observed convergence of Data Science and Computational Science research methods into Data and Compute Intensive Science methods. The goals of the training evaluation are to capture the impact of the training program and to afford an insight in the personal progress of the attendees, as well as to provide understanding how to support the attendees in implementing the learned methodologies/tools in their work. The paper presents the work by BSC Education and Training team to design a suitable exit evaluation and follow-on evaluation to tackle the issues of on-the-job implementation of training.