The effect of traditional education approaches and big data method on academic achievement of accounting students

 The purpose of this study is to investigate the effect of different teaching methods on the academic achievement of accounting students in order to determine the most effective teaching method experimentally and thus can improve academic achievement among accounting students. In this regard, using the traditional approach as well as new educational approaches, including the big data approach and comparing them with each other, their effect on students' academic achievement was examined. The population of this study includes all accounting students who were studying at the undergraduate level of Islamic Azad University, Shiraz in the academic year 1399-1398 and the study sample includes 247 students. In this research, using laboratory method and pre-test-post-test design, two experimental groups with traditional approaches and big data participated in Advanced Accounting 2, Cost Accounting 2 and Auditing 1. For each lesson, a group was considered as a control group. Data analysis was performed using structural equation modeling, Mann-Whitney nonparametric test and hierarchical regression. Findings showed that both big data teaching methods and traditional teaching methods have a significant positive effect on students' academic achievement. Also, the research findings showed that the effect of big data method education on the academic achievement of accounting students is more than traditional method education. The research results emphasize the need for big data method education in the accounting education program at the undergraduate level to increase students' knowledge. Findings also showed that the effect of traditional education and big data on academic achievement of accounting students in advanced Accounting 2, Cost Accounting 2 and Auditing 1, by controlling the variables of gender and grade point average of students has been positive and increased.