• ÇмúÁö
  • ³í¹®ÀÚ·á½Ç

³í¹®ÀÚ·á½Ç

Æò»ýȸ¿ø¼Ò°³
Á¦¸ñ A Meta-analysis of the Effects of Using AI Chatbot in Korean EFL Education
ÀúÀÚ Je-Young Lee ¡¤ Yohan Hwang ±Ç 48 È£ 1
³í¹® ³í¹®´Ù¿î¹Þ±â 11 ÀÌÁ¦¿µ,Ȳ¿äÇÑ.pdf
Lee, Je-Young & Hwang, Yohan. ¡°A Meta-analysis of the Effects of Using AI Chatbots in Korean EFL Education.¡± Studies in English Language & Literature 48.1 (2022): 213-243. The main purpose of this study is to perform a meta-analysis from a macro perspective, synthesizing the results of experimental research for the use of AI chatbots on educational purposes and practices in EFL environments. From the analysis of the results of 58 individual research cases in 16 experimental trials, EFL classes employing chatbot technology showed a mean effect size of .689, which is near to a large effect size. The following are the key findings in terms of moderators (e.g., school level, publication kind, treatment period, chatbot type, interaction method, and device type). The results show that 1) the lower the school level, the larger the effect size was calculated, 2) treatment that lasted fewer than 8 weeks proved to be more beneficial, and 3) the effect of using a purpose-built chatbot was greater than that of a general-purpose chatbot. On the other hand, the effect sizes calculated for dependent variables regarding linguistic competence and affective domains showed values greater than the medium effect size. The overall outcomes of this study shed light on why AI chatbots have become popular in an EFL setting as a learning and teaching tool to support a set of English capabilities and communication skills. This research has confirmed how AI chatbots may improve the quality, equity, and efficiency of education, as well as where they can optimize their potential and achieve their goals. Based on the findings, this study further suggests valuable insights into future AI chatbot-based research and education. (Jeonju University)

³í¹®¸®½ºÆ®·Î °¡±â