초록 열기/닫기 버튼
This study aimed to analyze the effect size of English education programs using AI chatbots on EFL learners’ language education effectiveness as well as moderator variables affecting program effectiveness. Forty-four dissertations and academic journals published from 2002 to March 2023 were selected as the analysis subjects, and the effect size was calculated using a random effect model due to high heterogeneity among studies. A meta-regression analysis was performed to confirm moderation effects, and publication bias was verified using Egger’s regression test. The effect size of AI education programs was significant, with a moderate effect size (0.428; 95% CI: 0.310-0.546), and major variables affecting language education effectiveness included school level by age and length for a single class. In terms of school level, it showed a higher effect size in the order of college students, high school students, and elementary school students. The most effective length of a single class was found to be 51-60 minutes. The time range of 51-60 minutes is mainly associated with university student learning. From both the school level and the length of a single class perspectives, the effect size related to university students is the largest. This can be attributed to the higher likelihood of university students engaging in self-directed learning compared to younger learners. It is believed that self-directed learning time has contributed significantly to improving learning effectiveness. This study provides useful information for developing and application of AI education programs for EFL learners.
키워드열기/닫기 버튼
AI chatbots, language education effectiveness, meta analysis
