No abstract

No abstract

No abstract

This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study, similarity scores from the first student assignments (N = 132) were collected to determine a baseline level of textual similarity. Students were then offered an educational intervention workshop on academic integrity. Another set of similarity scores from consenting participants' second assignments (n = 106) were then collected, and a statistically significant assignment effect (p < 0.05) was found between the similarity scores of the two assignments. The results of this study indicate that TMS, when used in conjunction with educational interventions about academic integrity, can be useful to students and educators to prevent and identify academic misconduct. This study adds to the growing body of empirical research about academic integrity in Canadian higher education and, in particular, in engineering fields.

informs ® doi 10.1287/ijoc.1040.0127 © 2006 INFORMS Modern integrated circuit design involves the layout of circuits consisting of millions of switching elements or transistors. Due to the sheer complexity of the problem, optimizing the connectivity between transistors is very difficult. The circuit interconnection is the single most important factor in performance criteria such as signal delay, power dissipation, circuit size, and cost. These factors dictate that interconnections, i.e., wires, be made as short as possible. The wire-minimization problem is generally formulated as a sequence of discrete optimization subproblems that are known to be NP-hard. Hence, they can only be solved approximately using meta-heuristics. These methods are computationally expensive and the quality of the solution depends to a great extent on an appropriate choice of starting configuration and modeling techniques. In this paper, new modeling techniques are used to solve the routing problem formulated as an integer programming problem. The main contribution of this paper is a proposed global routing heuristic that combines the wire length, channel congestion, and number of pins in routes to find the best wiring layout of a circuit. By adding information such as channel congestion and the number of pins in each route as well as the wire length, the quality of th