Novel application of a predictive skill retention model to technical VLE content production skills among Higher Education teachers: a case study

Abstract

Periods of no practice in performing a technical procedure may impact on the retention of the procedural skills required to produce VLE content. This exploratory paper reports a case study into the application of a validated skills retention model, the User Decision Aid (UDA). Use of the UDA results in a series of indicative retention rates predicting how long the procedures required to carry out Virtual Learning Environment (VLE) content production tasks will be remembered. Considerable variability in retention rates for differing VLE content production tasks was indicated. The study reveals that improvement in predicted VLE content production skills retention rates may be observed when a quality job aid is available and the mental processing complexity resulting from conducting VLE tasks is reduced. Outputs from this research can inform the design of VLEs, lead to the development of targeted training for teaching staff, and the better design of effective resources in order to mitigate skills fade in VLE content production tasks.