RMUTSB's LINE-Based AI Chatbot for University Admission and Educational Guidance

Faced with limited admissions-office staff, researchers Nontachai Singhuang and Parinya Natho at Rajamangala University of Technology Suvarnabhumi (RMUTSB) developed an NLP/machine-learning chatbot to answer prospective students' questions about admissions, tuition fees and general educational guidance, deployed on LINE — Thailand's dominant messaging app — so that applicants could reach it through a channel they already use daily.

The team evaluated the chatbot with a mixed-methods study combining a technical accuracy assessment and a usability test with 100 students. The accuracy assessment reported 97% accuracy with an F1 score of 82%, and the usability test found a 92% satisfaction rate among the students who used it. The study, published as a peer-reviewed paper at the 2025 IEEE International Conference on Cybernetics and Innovations, frames the tool as a low-cost way to give applicants personalised, speedy answers to admissions questions without proportionally increasing administrative staff.

This is a legitimate, peer-reviewed evaluation with real reported figures, but it should be read as a modest, single-institution research pilot: the usability sample was 100 students, and no information is available on whether the chatbot has since been rolled out university-wide across multiple admissions cycles, or on longer-term outcomes such as changes in application volumes or reductions in staff workload.

Read the full analysis: https://ieeexplore.ieee.org/document/10987355/