Explanations have become increasingly recognized as central to learning and intelligence. To explore the content and construction of human explanations, detailed protocol analyses were performed on the explanations that subjects produced while learning about a fictional system. During the system learning phase of the experiment, subjects received a series of diagrams for a system and then expla...

Performance problems in complex systems are often caused by underprovisioning, workload interference, incorrect expectations or bugs. Troubleshooting such systems is a difficult task faced by service engineers. We have built CLUEBOX, a non-intrusive toolkit that aids rapid problem diagnosis. It employs machine learning techniques on the available performance logs to characterize workloads, pred...

System Administration is an emerging academic discipline, yet there remains no commonly accepted approach to teaching the core skill of troubleshooting system problems. Troubleshooting is considered by many in the field to be the single most important skill for a working professional. The lack of common teaching methodology for this skill has resulted in an on the job training approach to teach...

The aim of this paper is to present an innovative teaching approach using a troubleshooting methodology in teaching and learning microprocessors by trainees at technical high schools. Moreover, this paper presents the evaluation of this methodology by electronics teachers who teach at technical high schools. In the beginning, the basic theoretical background about the troubleshooting problem-so...

As the heavy duty truck market becomes more competitive the importance of quick and cheap repairs increases. However, to find and repair the faulty component constitutes cumbersome and expensive work and it is not uncommon that the troubleshooting process results in unnecessary expenses. To repair the truck in a cost effective fashion a troubleshooting strategy that chooses actions according to...