Blended training for scientific software users

Abstract

This research investigates training approaches followed by scientific software users whose goal is the reliable application of such software. A key issue in current literature is the requirement for a theory-substantiated scientific software user training framework that will support knowledge sharing among scientific software users, in a blended learning environment. Scientific software is used in research areas that can directly affect public safety, such as nuclear power generation computer systems, groundwater quality monitoring and engineering designs. This investigation of current software training practices employs Grounded Theory in a qualitative methodology. Snowball sampling as well as purposive sampling methods were employed. Input from 20 respondents with diverse education and experience was collected and analyzed with constant comparative analysis. The Scientific Software Training Framework that results from this study encapsulates specific aptitudes and strategies that affect the professional development of the users regarding scientific software applications, in a blended learning environment. The findings of this study indicate that scientific software developers and users should take into consideration three key parameters in the design of training techniques for successful application of scientific software: (a) Confidence in Comprehension, (b) Discipline (and Systematic Validity Procedures), and (c) Ability to Adapt.