Utilizing Artificial Intelligence (AI) and Chatbot to Enhance English Proficiency for Students and Staff

Abstract

This research aimed to develop and implement an AI-powered English chatbot system to enhance English proficiency among students and staff at Suan Sunandha Rajabhat University. The study employed a mixed-methods design, integrating quantitative and qualitative approaches. The quantitative phase used a one-group pre-test/post-test experimental design to measure learning outcomes, while the qualitative phase involved in-depth interviews and focus group discussions to explore user experiences and system acceptance. A total of 200 participants (150 students and 50 staff) voluntarily took part in the study. Research instruments included a CEFR-aligned English proficiency test, a satisfaction questionnaire, and interview protocols. Findings revealed that the post-test mean scores were significantly higher than the pre-test scores (p < .05), with an average improvement of 9.2 points, indicating the system’s effectiveness in enhancing English listening, speaking, reading, and writing skills. Participants reported high satisfaction (mean = 4.35/5.00), particularly regarding ease of use, motivation, and practical usefulness. Furthermore, instructors experienced a reduction of approximately 32% in repetitive workloads, enabling greater focus on interactive teaching. In conclusion, the AI/Chatbot system demonstrated strong potential in promoting self-directed English learning and reducing instructors’ workload. It is recommended that future development expands to domain-specific English learning, integrates CEFR-based evaluation systems, and establishes the platform as a sustainable lifelong learning tool accessible to the wider community.