THE ROLE OF AI IN GRAMMAR FEEDBACK: ADVANTAGES AND LIMITATIONS COMPARED TO TEACHER EVALUATION

Abstract

The integration of Artificial Intelligence (AI) in education has significantly influenced language learning, particularly in grammar correction. This study investigates students’ perceptions of AIgenerated feedback compared to traditional teacher feedback in grammar instruction. Conducted with 54 EFL students at Universitas Pancasakti Tegal, the research employed a structured questionnaire to assess the strengths and limitations of both feedback methods. The findings reveal that AI feedback is valued for its speed, consistency, and accessibility, providing instant corrections. However, AI lacks contextual understanding, personalization, and emotional engagement, which are essential for deeper learning. In contrast, teacher feedback offers tailored explanations, motivational support, and adaptability to individual learning needs, but it is slower and limited by availability. The study suggests that a hybrid approach, combining AI efficiency with human insight, may offer
the most effective strategy for enhancing grammar learning. Despite these insights, the study is limited by its small sample size, reliance on self-reported perceptions, and focus on grammar correction. Future research should explore AI feedback in broader language-learning contexts and incorporate objective performance measures. The findings contribute to ongoing discussions on AI’s role in education and its potential as a complementary tool for language instruction.