The model of hierarchical complexity (MHC) assesses a general, unidimensional behavioral developmental set of tasks that measure difficulty across different domains. Teaching the model is a challenge because of the abstract nature of the model. Using the traditional Precision Teaching method of SAFMEDS, those learning the model reported the approach to teaching to be rather boring. In the present work, computer-based instruction was integrated into the Precision Teaching of MHC. The results indicate that mastery was achieved in 8 of the 27 participants. Controlling relations developed that were not useful to scoring stage. This indicates that the program needs to analyze more closely the technology of process as derived from the basic and applied learning sciences. These considerations will be reviewed in detail.

Functional analysis data and previous studies on animal training have demonstrated that social interaction with humans can serve as a reinforcer for animals. Yet, some studies have demonstrated that tactile interaction (e.g., patting, petting, or scratching) is less effective or ineffective when compared to food. However, the reinforcement procedures used may account for these discrepancies. The current study investigated whether tactile interaction, in the form of petting and scratching, could be used as a reinforcer to train behaviors to two horses and a mule. First, each equine learned when reinforcement would be available and what behaviors to engage in during reinforcement delivery. Next, a series of shaping steps and a changing-criterion design were used to test whether tactile interaction could be used to shape two new behaviors, stay and come. All three equines completed reinforcement training and met the mastery criteria for training stay and come. These results demonstrate that tactile interaction can be used as a reinforcer to train equines and also suggest that details of the reinforcement delivery process may be an important consideration when tactile interaction is used as a reinforcer.