Cognitive components of troubleshooting strategies

This study investigated the kinds of knowledge necessary to learn an important troubleshooting strategy, elimination. A total of 50 college-level students searched for the source of failures in simple digital networks. Production system modelling suggested that students using a common but simpler backtracking strategy would learn the more advanced elimination strategy if they applied certain domain-specific knowledge and the general-purpose problem-solving strategy of reductio ad absurdum. In an experiment, students solved network troubleshooting problems after being trained with either the domain-specific knowledge, the reductio ad absurdum strategy, both types of knowledge, or neither. Students needed both the domain-specific and general knowledge identified by the models in order to significantly increase their elimination use.     

Parolee Concentration,Risk of Recidivism,and the Consequences for Neighborhood Crime

ABSTRACT

We examine whether the clustering of certain types of higher-likelihood-of-recidivating parolees in neighborhoods differentially influences violent and property crime. We also test whether the relationship between the concentration of certain types of parolees and crime is moderated by disadvantage. We examine parolees released between 2000 and 2009 in Cleveland, Ohio, and neighborhood crime data. Results suggest that increases in certain types of parolees contribute to a corresponding increase in crime. This suggests that risk factors associated with reoffending might explain larger crime trends in neighborhoods. Furthermore, the broader neighborhood context compounds these risk factors, resulting in higher rates of crime.