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Using Fuzzy Cognitive Maps and Chatbots to Evaluate Student Satisfaction in a University: A Comparison between Strong and Weak AI

Authors:
Wagner F. Godoy
José A. Fabri
Rodrigo H. C. Palácios
Marcio Mendonca
Janaina F. S. Gonçalves
Luiz O. M. Moraes

Keywords: Fuzzy Cognitive Maps, Quantitative Analysis, Chatbots, Operational Research.

Abstract:
The project aims to create a Fuzzy Cognitive Map (FCM) to assess student satisfaction at the Federal Technological University of Paraná, Campus Cornélio Procópio (UTFPR-CP), Brasil. By integrating intelligent techniques, the FCM allows for inference through the causal relationships between variables like teacher training, facilities, housing, and cleanliness. Online surveys were used to quantify these influences and provide an institutional improvement tool. A comparison was made with a Microsoft AI chatbot, which produced similar results, although GPT-4.0 offers more nuanced, human-like understanding and reasoning capabilities. After validating the results, this work ends with a conclusion and addresses future scientific investigations.

Pages: 16 to 20

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-68558-191-6

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024