No abstract

The aim of this study is to examine the effect of self-confidence on mathematics achievement. In this meta-analysis, the effect of self-confidence on mathematics achievement was analysed using the Trends in International Mathematics and Science Study (TIMSS). In the first stage of the study, the average effect size of self-confidence on mathematics achievement was determined, and in the second stage, the moderators that may impact average effect size were investigated. For the meta-analysis, 336 independent data belonging to 76 countries included in the TIMSS (2003, 2007, 2011 and 2015) were combined, and a sample of 1,028,567 subjects was obtained. The average effect size was then calculated using the differences between means (Cohen d) based on the random effect model, whereas the significance of the moderator variables was calculated using the Q statistic. The results indicated that self-confidence has a moderate effect on mathematics achievement. In addition, the year in which the survey was conducted, national culture, continent of the country and Human Development Index were found to play a moderator role in the effect of self-confidence on mathematics achievement. In this respect, the economic, cultural and social capital of students are very similar to each other as the economic levels of the countries and individual families increase. These similarities highlight the differences between students' personal characteristics, wherein traits such as self-confidence have become one of the most important variables that determine students' mathematics achievement in recent years.

#nofulltext#As a multi-criteria decision-making (MCDM) method, the analytic hierarchy process (AHP) has been used considerably to solve hierarchical or network-based decision problems in socio-economic fields. Following an in-depth explanation of the transport function in logistics and an overview of the MCDM methods, the AHP model is employed in the paper for a logistics company in selecting the most suitable way of transportation between two given locations in Turkey. The criteria used in the selection of transportation modes are identified as the cost, speed, safety, accessibility, reliability, environmental friendliness, and flexibility. Several cost parameters (transportation, storage, handling, bosphorus crossover) are incorporated into the decision-making process. The application is carried out in instructional character. The results of the study indicate that the railway transportation, which is not widely used in Turkey, is also an alternative and suitable means of transportation

Abstract:Owing to its complexity, the traveling salesman problem (TSP) is one of the most intensively studied problems in computational mathematics. The TSP is defined as the provision of minimization of total distance, cost, and duration by visiting the n number of points only once in order to arrive at the starting point. Various heuristic algorithms used in many fields have been developed to solve this problem. In this study, a solution was proposed for the TSP using the ant colony system and parameter optimization was taken from the Taguchi method. The implementation was tested by various data sets in the Traveling Salesman Problem Library and a performance analysis was undertaken.In addition to these, a variance analysis was undertaken in order to identify the effect values of the parameters on the system. Implementation software was developed using the MATLAB program, which has a useful interface and simulation support.

No abstract