Integrating Corrective Feedback in EFL Classrooms

Abstract

In contemporary language education, integrating traditional pedagogies with digital innovations signifies a pivotal shift in teaching and learning practices. This synergy enhances language acquisition by blending established instructional methods with the precision and adaptability contributed by emerging digital technologies, particularly Artificial Intelligence (AI) tools. Despite the challenges in fostering fluency in English as a foreign language (EFL) classrooms, corrective feedback (CF) remains a cornerstone of effective language learning. This study explores the intersection between traditional corrective feedback methodologies and the potential of artificial intelligence-powered technologies, specifically examining the impact of immediate feedback and oral grammar correction provided by artificial intelligence language assistants, focusing on Grammarly as a case study. Employing a quasi-experimental design, this research compares the effectiveness of traditional corrective feedback with artificial intelligence-mediated feedback, analyzing the outcomes using statistical methods (t-tests) in SPSS. The findings aim to contribute useful implications and valuable insights into the educational advantages of integrating artificial intelligence technologies in language classrooms.