Abstract
Traditional repositories, such as university knowledge resources, present challenges for students accustomed to instant answers. To improve information delivery at university, we propose an AI-Driven System for University Information Provision (UnIPro). By analyzing 4551 student posts over 18 months, we classified 20 key categories of student questions. These insights formed the basis for developing a system that assists students in accessing relevant information. The system will be helpful in meeting genuine student information needs and could yield functional and operational improvements within universities, facilitating communication between students and administrative bodies.
Paper Type
Poster
DOI
10.62036/ISD.2024.11
AI-Driven System for University Information Provision: Preliminary Lessons Learned from a University in Poland
Traditional repositories, such as university knowledge resources, present challenges for students accustomed to instant answers. To improve information delivery at university, we propose an AI-Driven System for University Information Provision (UnIPro). By analyzing 4551 student posts over 18 months, we classified 20 key categories of student questions. These insights formed the basis for developing a system that assists students in accessing relevant information. The system will be helpful in meeting genuine student information needs and could yield functional and operational improvements within universities, facilitating communication between students and administrative bodies.
Recommended Citation
Put, D., Balsamski, B., Kanclerz, J., Karcz, A. & Stal, J. (2024). AI-Driven System for University Information Provision: Preliminary Lessons Learned from a University in Poland. In B. Marcinkowski, A. Przybylek, A. Jarzębowicz, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings). Gdańsk, Poland: University of Gdańsk. ISBN: 978-83-972632-0-8. https://doi.org/10.62036/ISD.2024.11