Project Aims:
  • Analysis of the evolution of training transfer in time for various rescue brigades will be conducted using a Hidden Markov Model (HMM), a procedure widely used to analyse temporal patterns with hidden intermediate states.
  • Predictions made by the model will be compared with observed performance during and after training sessions to test the robustness of the model.
  • Finally, complementary information will allow us to evaluate the degree of alignment of expectations between managers and trainers with actual training transfer capacity and identify the most efficient training sequences.
  • This will help Mines Rescue to develop better tailored training programs for existing and future rescue brigades in Woonona, Lithgow, Newcastle and Singleton.