A carregar...
Publicação
Empirical Analysis of an AI-Powered Chatbot for Enhancing University Information Retrieval
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.69 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This thesis examines the implementation and evaluation of an AI-powered chatbot for
improving information retrieval processes at Kozminski University. Leveraging the DeLone
and McLean Model of Information Systems Success, the study assesses the chatbot’s impact
on user efficiency, information quality, and satisfaction, as well as its implications for the
university’s existing knowledge management practices. The empirical study involves
comparative testing between the AI chatbot and Kozminski Knowledge Base, the traditional
repository of institutional information. The outcomes indicate that the chatbot significantly
reduces information retrieval time and improves accuracy while enhancing user satisfaction.
This research not only contributes a viable AI solution for educational institutions but also
provides empirical evidence of its effectiveness, potentially advancing the integration of AI
applications in higher education. The research contributes theoretically by extending the
application of the DeLone and McLean Model to chatbot technology and practically by
providing insights into implementing AI chatbots in higher education contexts. Despite its
promising findings, the study acknowledges limitations, including its focus on a single
institution and a specific chatbot implementation. Future research directions are proposed to
explore broader applicability, advanced AI features, and long-term impacts on knowledge
management. This thesis underscores the transformative potential of AI chatbots as a key tool
for improving information retrieval in academic settings.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and Analytics
Palavras-chave
Artificial Intelligence Chatbots Technologies Large Language Models Natural Language Processing Informational Systems SDG 4 - Quality education SDG 9 - Industry, innovation and infrastructure