토픽 모델링을 통한 컴퓨터 보조 언어학습의 연구 동향

초록

This study is to identify research trends by extracting keywords from papers on computer-assisted language learning listed in Korean journals from 1990 to 2022 through topic modeling, deriving topics, and studying changes over time. A total of 344 papers were selected as research subjects. Salient terms and topics were analyzed, and regression analysis was performed to analyze upward and downward topics. Among the 30 salient terms, ai, reading, online, translation, feedback, and apps were the top. The ten topics extracted through the topic modeling as follows: ① AI and language education, ② multimedia classroom education, ③ AI, multimedia, & grammar instruction, ④ Internet, pronunciation & software, ⑤ vocabulary, ⑥ online collaborative, ⑦ speaking apps, ⑧ cyber translation, ⑨ reading, & extensive, and ⑩ digital communication. The topic ⑦ is an upward topic but ② ③ ④ ⑤ topics are downward.

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