Mobile devices use in analyzing the engineering students attitude towards programming by using a fuzzy logic technique

Abstract

The aim of this study is to use mobile devices in the determination of engineering students' attitudes towards programming by using a fuzzy logic technique. First of all, a mobile game that is played by engineering students is developed to make learning programming more enjoyable. After that, the proposed fuzzy logic-based attitude determination system which runs on mobile devices comes into play. Student answers and gives points between 1 and 5 to the survey questions which are presented by the developed mobile application. These points are first evaluated in the fuzzification step by using membership functions and then the fuzzied input is given to the rule base step. To get crisp output value, fuzzied output is defuzzified at the last step of the fuzzy logic-based system. Hence the attitude of the student towards programming is inferenced. The developed system is carried out with 100 first-grade students of the software engineering department. Frequency, mean, standard deviation, normality, t test, and analysis of variance (ANOVA) analyses are performed with the obtained data. Results show that the proposed fuzzy logic-based system performs much better than the classical approach. As a result of Article Reliability Analysis of the Attitude Scale Towards Mobile Learning, the scale is found highly reliable. A significant difference is found in favor of fuzzy logic-based attitude score among classical logicbased attitude scores as a result of the paired-samples t test. The results of t test and ANOVA tests according to gender, mother, and father education levels are found not statistically significant.

Development of a photovoltaic panel emulator and LabVIEW‐based application platform

“…In t test, the relationship or difference between two groups is determined by p (significance/probability). The fact that p < .05 indicates a significant difference between the two groups, otherwise (p > 0.05) there is no significant difference between the groups [26,27]. The results of t test applied for A-B and C-D groups are given in Table 8.…”

Fuzzy logic based performance analysis of educational mobile game for engineering students

“…As shown in Figure 4, if there is more than one maximum point, these points are averaged. The found value is the absolute value [30].…”

“…As shown in Figure 5, if there is more than one maximum point, the element with the greatest value in the LoM method is the absolute value. In the SoM method, the element with the smallest value is the absolute value [30].…”

“…It is noteworthy that the traditional method is preferred for evaluating the scales used in the studies, that is, the scales are evaluated with classical logic-based methods. In the literature, however, there are studies stating that the approaches based on fuzzy logic theory will be more appropriate in the evaluation of the scales that measure uncertainties such as attitude [14,19,30,31,38,44].…”

A mobile app for algorithms learning in engineering education: Drag and drop approach

“…Mobile learning allows users to access resources online or offline, regardless of time and place. In addition, teachers can recognize each student's attitude toward mobile learning and can update their teaching methods to teach students in a more effective way [22].…”