TY - JOUR
T1 - ChatGPT-Based Conversational Artificial Intelligence System for Virtual University Admissions Office Client Attention
AU - Vega-Huerta, Hugo
AU - Gutierrez-Mejía, Fernando
AU - Calcina-Aguilar, Brayan
AU - Benito-Pacheco, Oscar
AU - De-La-Cruz-Vdv, Percy
AU - Maquen-Niño, Gisella Luisa Elena
AU - Lázaro-Guillermo, Juan Carlos
N1 - Publisher Copyright:
©2025 The authors.
PY - 2025/4
Y1 - 2025/4
N2 - This research investigates the modernization of virtual customer service within academic environments using a conversational AI system based on ChatGPT. This study introduces the first implementation of ChatGPT in a Peruvian public university’s admissions office, offering an innovative approach to automate and enhance user support. Educational organizations face the challenge of enhancing accessibility and delivering more efficient services, as traditional methods, such as telephone calls, in-person consultations and online support, often fail to meet user satisfaction expectations. This study proposes and develops a system designed to optimize online interaction and improve accessibility of virtual services, providing quick and accurate responses to academic and administrative queries. Leveraging advanced natural language processing technologies, the system enhances the user experience by reducing wait times and increasing satisfaction levels by 95%. The findings demonstrate its effectiveness in transforming the interaction between users and educational services, offering a scalable and adaptable solution to different educational contexts. This approach establishes a new benchmark for query management within educational institutions and lays the foundation for future applications of artificial intelligence in academic contexts.
AB - This research investigates the modernization of virtual customer service within academic environments using a conversational AI system based on ChatGPT. This study introduces the first implementation of ChatGPT in a Peruvian public university’s admissions office, offering an innovative approach to automate and enhance user support. Educational organizations face the challenge of enhancing accessibility and delivering more efficient services, as traditional methods, such as telephone calls, in-person consultations and online support, often fail to meet user satisfaction expectations. This study proposes and develops a system designed to optimize online interaction and improve accessibility of virtual services, providing quick and accurate responses to academic and administrative queries. Leveraging advanced natural language processing technologies, the system enhances the user experience by reducing wait times and increasing satisfaction levels by 95%. The findings demonstrate its effectiveness in transforming the interaction between users and educational services, offering a scalable and adaptable solution to different educational contexts. This approach establishes a new benchmark for query management within educational institutions and lays the foundation for future applications of artificial intelligence in academic contexts.
KW - chatbot
KW - ChatGPT
KW - conversational intelligence
KW - generative artificial intelligence
KW - online support
UR - http://www.scopus.com/inward/record.url?scp=105005759148&partnerID=8YFLogxK
U2 - 10.18280/isi.300411
DO - 10.18280/isi.300411
M3 - Article
AN - SCOPUS:105005759148
SN - 1633-1311
VL - 30
SP - 945
EP - 952
JO - Ingenierie des Systemes d'Information
JF - Ingenierie des Systemes d'Information
IS - 4
ER -