Topic Analysis in TOEIC Courses in College by LDA Topic Modeling

The purpose of this study is to investigate the TOEIC research topics in college from 2000 to 2022 in Korea. The total 184 papers were collected and analyzed by LDA (Latent Dirichlet Allocation) topic modeling. The results are as follows: The number of TOEIC papers has increased significantly since 2011. By analyzing LDA topic modeling, 12 topics were identified and categorized into two major topics: teaching and learning methods and learner factors. In teaching and learning method category, there were satisfaction with online lectures (T1), listening strategy (T2), reading and grammar (T3), TOEIC intensive program (T4), vocabulary learning (T6), speaking (T10), and teaching method (T11). In learner factors category, there were factors affecting TOEIC course (T5), affective factors and proficiency (T7), learning style and self-directed learning (T8), self-error analysis and report (T9), and achievement and motivation by proficiency level (T12). This study is meaningful in that it covers the 20 years of TOEIC research by LDA topic modeling and hopes to provide useful and meaningful analysis for researchers.