CONVERSATIONAL AI FOR HIGHER EDUCATION AUTOMATING STUDENTS QUERIES ON REGISTRATION AND FEE SERVICES

Abstract

The increasing number of student inquiries related to registration procedures and fee-related services in
higher education institutions has created a significant workload for administrative staff. Traditional
support systems such as help desks and email-based communication often lead to delays in responses and
inefficiencies in handling repetitive queries. Conversational Artificial Intelligence (AI) has emerged as an
effective solution for automating student support services by providing instant and accurate responses
through intelligent chat-based systems. This study proposes a conversational AI framework designed to
automate student queries related to registration and fee services in higher education institutions. The
system utilizes Natural Language Processing (NLP) techniques and machine learning models to
understand student questions, interpret their intent, and generate appropriate responses. The chatbot is
trained using a dataset of frequently asked questions related to admission registration, course enrollment,
fee payment procedures, deadlines, and scholarship information. The proposed system provides a userfriendly
interface where students can interact with the chatbot through text-based conversations, enabling
quick access to information at any time. By automating routine queries, the system reduces the workload
of administrative staff, improves response efficiency, and enhances the overall student support
experience. The implementation of conversational AI in higher education demonstrates the potential to
transform traditional administrative services into intelligent, automated, and scalable digital support
systems.