Collaborative Work Alternatives with ChatGPT Based on Evaluation Criteria for its Use in Higher Education: Application of the PROMETHEE-SAPEVO-M1 Method
Luis Hernan Contreras Pinochet, Miguel Ângelo Lellis Moreira, Luíz Paulo Lopes Fávero, Marcos dos Santos, Vanessa Itacaramby Pardim
Abstract
The objective of this article is to adopt the integration of two methods of Multicriteria Decision Support, based on the axiomatic models PROMETHEE and SAPEVO-M1, aggregating data of a qualitative nature through ordinal entries to analyze collaborative work alternatives with ChatGPT from evaluation criteria for its use in higher education. It is highlighted that the alternative with the best performance is ‘Support for Autonomous Learning,’ presenting the highest positive flow and the lowest negative flow, exposing a natural preference over the set. In this study, ‘Emotional Support’ was the worst alternative. It occurs because the tool is still under discussion when addressing issues such as the lack of human interaction, reduced critical thinking, and less empathy.