Enhancing English academic writing proficiency for international students in Thailand: a data-driven approach leveraging ChatGPT

This dissertation investigates the effectiveness of integrating ChatGPT technology into English academic writing pedagogy for international students in Thailand, leveraging a data-driven approach. The study addresses the critical need for improved academic writing skills among EFL students, who often face challenges due to inadequate pre-college preparation. By incorporating ChatGPT, an advanced AI language model, the research aims to enhance students' writing proficiency through personalized, immediate feedback and interactive learning experiences.The study employs a mixed-methods research design, involving both quantitative and qualitative data collection. Participants were divided into two experimental groups: one utilizing ChatGPT for writing assistance and the other relying on traditional paper-based methods. Results indicate that students using ChatGPT demonstrated significant improvements in writing fluency, coherence, and overall quality compared to their counterparts. Additionally, the majority of participants reported increased confidence and satisfaction with their writing abilities when supported by ChatGPT.The findings highlight the potential of AI-driven tools to transform language learning by providing accessible, tailored support that aligns with individual learner needs. This research contributes to the growing body of literature on technology-enhanced language learning, offering practical insights for educators seeking to incorporate AI into their teaching practices. The dissertation concludes with recommendations for further research and practical applications of ChatGPT in diverse educational settings, emphasizing its role in fostering equitable and effective language education.