Enhancing Educational Quality Assurance in Thai Vocational Education: Intelligent Chatbot

This study addresses the challenge of limited advisory services for educational quality assurance in Thailand's vocational institutions. We developed an Intelligent Chatbot for Self-Assessment Report (IC-SAR) system to provide 24/7 support and evaluated its efficacy using machine learning algorithms on the LINE platform. The Decision Tree algorithm demonstrated superior performance with 97.44% accuracy, outperforming Naïve Bayesian and K-Nearest Neighbor methods. Usability tests showed 92.00% accuracy in answering queries. The IC-SAR effectively supports educational institutions by providing timely and accurate responses, potentially reducing delays in advisory services and enhancing the efficiency of the self-assessment process.