This project introduces the development and implementation of a virtual assistant tailored specifically for student interaction in a higher education institution. With the increasing demand for personalized support and efficient communication channels in educational settings, virtual assistants have emerged as a promising technology to enhance student engagement, support academic success, and streamline administrative processes. The virtual assistant presented in this project leverages natural language processing, machine learning, and artificial intelligence techniques to provide an intuitive and interactive platform for students to seek information, access resources, and receive personalized assistance. Some functionalities of the virtual assistant include the following: Information Retrieval: the virtual assistant serves as a knowledge repository, allowing students to obtain quick and accurate answers to frequently asked questions regarding academic programs, course offerings, campus facilities, and administrative procedures; Personalized Guidance: by analyzing student profiles and historical data, the virtual assistant offers tailored guidance on academic planning, course selection, and career pathways, ensuring that students receive relevant and timely advice based on their individual needs and goals; Task Automation: the virtual assistant automates routine administrative tasks, such as registration, scheduling, and grade tracking, reducing administrative burden and allowing students to focus more on their learning experience; and Interactive Support: through natural language processing capabilities, the virtual assistant engages in dynamic conversations, allowing students to ask questions, seek clarifications, and receive real-time feedback on their academic progress. Throughout the project's development, a user-centered approach is followed, with continuous feedback from students, faculty, and administrators. Rigorous testing and quality assurance measures are implemented to ensure the accuracy, reliability, and usability of the virtual assistant.
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Using a virtual assistant for interactive student engagement at universities
Published:
03 December 2024
by MDPI
in The 5th International Electronic Conference on Applied Sciences
session Computing and Artificial Intelligence
Abstract:
Keywords: virtual-assistant; machine-learning; nlp; students.
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