EventsThe 4th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session C. Computing and Artificial Intelligence of the event The 4th International Electronic Conference on Applied Sciences
Published date
12 Dec, 2023
Academic Editor
author-avatarNunzio Cennamo
Citation
Pedro Filipe Oliveira, Paulo Matos, Introducing a chatbot on the Web Portal of a Higher Education Institution to enhance student interaction, in Proceedings of The 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2023-16621
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Introducing a chatbot on the Web Portal of a Higher Education Institution to enhance student interaction

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1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal, Portugal
2. Laboratório para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
3. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Abstract

This paper introduces the implementation of a chatbot on the web portal of a higher education institution, aiming to enhance student interaction and provide seamless access to information and support services. With the increasing reliance on digital platforms for student engagement, a chatbot offers a user-friendly and efficient means of communication, catering to the diverse needs of students in a higher education setting.

The chatbot developed utilizes natural language processing, machine learning, and artificial intelligence algorithms to engage in dynamic conversations with students. We use Large Language Models (LLMs), because this and vector databases are revolutionizing the way we handle and retrieve complex data structures.

Its main objective is to provide instant responses, personalized guidance, and timely support for various aspects of student life within the institution namely: Information Retrieval, the chatbot acts as a virtual collaborator, offering quick and accurate responses to frequently asked questions regarding admissions, programs, course registration, financial aid, and campus facilities, reducing the need for manual information searches; Academic Support the chatbot assists students in academic matters, such as course selection, prerequisites, graduation requirements, and study resources. It can offer personalized recommendations based on the student's academic profile and preferences; Campus Services, provides information about campus services, extracurricular activities, events, and resources; Appointment Scheduling, facilitates appointment scheduling with academic advisors, and support staff, streamlining the administrative processes and ensuring timely access to guidance and assistance.

This development follows a user-centric approach, incorporating feedback from students, faculty, and administrators to ensure that the chatbot meets their specific needs and preferences. Rigorous testing and quality assurance measures are implemented to guarantee the accuracy, reliability, and security of the chatbot.

In conclusion, we achieve a functional chatbot with a medium computational heavy, in this way it can be practical to use it in real time by the students at the institution web portal. The introduction of a chatbot on the web portal of a higher education institution represents a significant advancement in facilitating student interaction and support services. By providing instant and personalized responses, the chatbot streamlines communication, reduces response times, and empowers students to find information and resources efficiently. As the chatbot technology continues to evolve, ongoing enhancements and refinements will ensure that it remains a valuable tool in enhancing student experiences, promoting engagement, and fostering a positive learning environment within the institution.

Keywords
chatbot
machine-learning
nlp
artificial-intelligence
students.
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