Assessing English Performance of Students in the Context of AI: A Case Study in Hanoi

Abstract

This study examines the impact of artificial intelligence (AI) on English language performance among students in Hanoi, Vietnam. Conducted in the second half of 2024, the research employed a mixed-methods approach. The results show that AI-assisted learning helped students enhance their vocabulary more effectively than traditional methods. AI tools were particularly effective in introducing new words and reinforcing their usage, and achieved a more consistent performance among students in the experimental group. The students generally viewed AI as an effective and engaging tool for language learning. Insights from this research can contribute to understanding AI’s role in enhancing English language proficiency and suggest strategies for integrating technology into educational practices. While some students found AI interactions engaging, they did not fully equate them to real-life social situations. The interaction and content engagement highlights AI’s potential to create an enjoyable learning experience in the context that human interaction remains a key component in language learning, whilst AI may not fully replace traditional classroom or peer-based learning environments.