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 logic‐based 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.

中文翻译：

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移动设备用于使用模糊逻辑技术分析工程专业学生对编程的态度

本研究的目的是使用移动设备通过模糊逻辑技术确定工程专业学生对编程的态度。首先，开发了由工程专业学生玩的手机游戏，以使学习编程更加有趣。此后，在移动设备上运行的建议的基于模糊逻辑的姿态确定系统开始发挥作用。学生回答并给出由开发的移动应用程序提出的调查问题的1到5分。这些点首先在模糊化步骤中通过使用隶属度函数进行评估，然后将模糊化的输入提供给规则基础步骤。为了获得清晰的输出值，在基于模糊逻辑的系统的最后一步对模糊输出进行了模糊化处理。因此，可以推断出学生对编程的态度。所开发的系统是由100名软件工程系的一年级学生实施的。频率，平均值，标准差，正态性，t检验，并使用获得的数据进行方差分析（ANOVA）分析。结果表明，所提出的基于模糊逻辑的系统比经典方法具有更好的性能。作为对面向移动学习的态度量表的文章可靠性分析的结果，该量表被认为是高度可靠的。由于配对样本t检验，在基于经典逻辑的态度评分中发现基于模糊逻辑的态度评分存在显着差异。发现根据性别，母亲和父亲的受教育程度进行的t检验和ANOVA检验的结果在统计学上不显着。