Efficiency of game-based educational methods in mathematics based on emotional intelligence of students by using Data Envelopment Analysis ( DEA)
نویسندگان
1 PhD Student in Mathematics Education , Department of Math, Faculty of Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Department of Mathematics and Computer Science, School of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 Research Center of Performance and Productivity Analysis, Istinye University, Istanbul, Türkiye.
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چکیده
Given the significance of mathematics and the challenges associated with its learning, using effective educational strategies can enhance comprehension and boost student motivation. Data envelopment analysis (DEA) is a mathematical programming model for evaluating the efficiency of decision-making units (DMUs) that have multiple inputs and multiple outputs. Efficiency measurement has always been the focus of researchers due to its importance in evaluating the performance of a company or organization. The analysis methodology of data envelopment has been used in this study to investigate the efficiency of game-based educational approaches in mathematics depending on students' emotional intelligence. Schools in District 4 of Qom city (Iran) were the focus of this study. This study has aimed to investigate the effect of game-based educational methods on the emotional intelligence and academic performance of mathematics. In the practical part of this paper, 150 students who are here are placed in groups of 15 people. The relative efficiency values of these groups have been calculated by using the Games software in data envelopment analysis, and also the progress and regression of each group of students before and after the game have been obtained using the efficiency values. In general, it can be concluded that using game-based educational methods can help improve students' emotional intelligence and academic performance. However, some games require a review in terms of development, community selection, and implementation methods to achieve the best results.