Generative AI vs. Traditional Databases: Insights from Industrial Engineering Applications
This study evaluates the efficiency and accuracy of Generative AI (GAI) tools, specifically ChatGPT and Gemini, in comparison with traditional academic databases for industrial engineering research. It was conducted in two phases. First, a survey was administered to 101 students to assess their fami...
Saved in:
Main Authors: | Jose E. Naranjo, Maria M. Llumiquinga, Washington D. Vaca, Cristian X. Espin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-03-01
|
Series: | Publications |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-6775/13/2/14 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Translating classical Arabic verse: human translation vs. AI large language models (Gemini and ChatGPT)
by: Mohammed Farghal, et al.
Published: (2024-12-01) -
Generative AI in Pragmatics: Assessing the Accuracy of Automated Speech Act Classification in Pinter’s The Birthday Party
by: Tadej Todorović, et al.
Published: (2025-06-01) -
Usando análise de sentimentos para diferenciar bots e humanos na divulgação de publicações científicas sobre COVID-19 na mídia social X
by: Danielle Pompeu Noronha Pontes, et al.
Published: (2025-07-01) -
Breaking Boundaries with Generative AI: Good Practice of Unleashing the Power of ChatGPT for Inter- and Transdisciplinary Breakthroughs in the Age of Complexity
by: Beata Jones
Published: (2023-06-01) -
Comparative Performance of Chatbots in Endodontic Clinical Decision Support: A 4-Day Accuracy and Consistency Study
by: Mine Büker, et al.
Published: (2025-10-01)