A Framework for Model-Based Adaptive Training

Training Unit Properties

Training units are specified and designed using a set of 12 properties as introduced in the previous chapters. The training unit design properties are:

  1. training unit class;
  2. training strategy;
  3. goal expertise level;
  4. preferred learning mode;
  5. problem space;
  6. generic task;
  7. domain model type;
  8. problem solving method;
  9. items of expertise;
  10. training unit script;
  11. transfer of learning; and
  12. time duration.

at the symbol level with sample values and variables is shown below in Figure 6-3. This example illustrates the main properties of the Workmanship-MOBAT training units.

Figure 6-3 Training Unit Representation

Figure 6-3 Training Unit Representation

Training units are linked to multiple models in such a way that it promotes learning. Multiple models enable the trainer to plan the content and sequence of delivering the training. The representation of multiple models also has the advantage that the pace of using different training unit can be readily altered for individual trainees, slowing down where they have difficulty and speeding up on points they grasp readily. Depending on trainee progress or trainee errors, a change from one training unit to another may involve either a model switch or an adjustment of an appropriate model property. The training system is implemented with separate trainer and expert agents. The trainer agent is generic (i.e., domain independent) but has the ability to cope with complexity in the domain by making use of multiple models that vary along a number of modelling dimensions. Each of the different modelling dimension is presented in separate sections of this chapter.

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