ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0

EXPLORING THE LIMITS OF AI IN LOGICAL PROBLEMAS WITH EDUCATIONAL APPLICATION

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Authors

DOI:

https://doi.org/10.56579/rei.v7i5.2335

Keywords:

Artificial Intelligence, Education 5.0, Critical Thinking, Problem Solving, Digital Literacy

Abstract

This article explores the limits and potential of Artificial Intelligence (AI), specifically the ChatGPT-4.1 model, in solving logical-mathematical problems in educational contexts. Through a qualitative approach, simulations were conducted using various formulations of predefined problems. The analysis shows that AI performs well with clear questions but faces limitations when dealing with linguistic ambiguities and visual representations. The study highlights the role of the teacher as a critical mediator and emphasizes the importance of investigative practices for the responsible pedagogical use of AI, fostering the development of critical thinking and digital literacy, in alignment with the principles of Education 5.0.

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Author Biographies

Vinicius Alves Rodrigues, Cruzeiro do Sul University

He holds a Bachelor’s degree in Mathematics Education from the University of São Paulo (2012) and a professional Master’s degree in Mathematics Teaching from the University of São Paulo (2016). He specialized in Special and Inclusive Education (2019) and obtained a Bachelor’s degree in Pedagogy (2020) from Centro Universitário Internacional. He also earned a degree in Computer Engineering from the Virtual University of São Paulo (2022) and a Technical degree in Electronics (2021) from Centro Paula Souza. He is currently pursuing a PhD at Cruzeiro do Sul University, expected to be completed in 2025. His current research focuses on the use of Artificial Intelligence and its impacts and methods for the teaching of Science and Mathematics. He is a teacher of Mathematics, Geometry, Programming and Robotics at Colégio Isaac Newton, and a teacher of Mathematics, Financial and Statistical Calculations at the State Technical School of São Paulo. He works in the field of Education, with emphasis on the teaching of Statistics, Mathematics and its technologies, particularly Digital Technologies, Programming and Robotics. His main areas of focus are: mathematics teaching, basic statistics, robotics and computing education, and the learning of fundamental mathematical concepts and their technologies, with an emphasis on their application in Basic Education.

Marco Antônio Sanches Anastácio, Cruzeiro do Sul University

Area Coordinator and Professor of Computer Science and Information Technology programs at Cruzeiro do Sul University. PhD candidate and Master in Science and Mathematics Teaching from Cruzeiro do Sul University (2020); Specialist in Game Design and Development (2021) and Digital Technologies and Innovation in Education from Cruzeiro do Sul University (2019), History of Science and Physics Teaching from Centro de Extensão Universitária (2005), and Mathematics from Universidade Camilo Castelo Branco (1998). Advanced studies in Statistics at the University of São Paulo (2002). Bachelor’s degree in Mathematics from Universidade Camilo Castelo Branco (1995) and Technologist in Internet Information Systems from Universidade Nove de Julho (2014). He has been working in education since 1996. Research interests: Physics and Astronomy teaching; digital technologies in education.

Mauro Sérgio Teixeira de Araújo, Cruzeiro do Sul University

Bachelor in Physics (1988) and Licensed in Physics from the University of São Paulo (USP, 1998), Master in Physics from USP (1991), and PhD in Physics from USP (1997). He is currently a Full Professor at Cruzeiro do Sul University, where he teaches, supervises, and conducts research in the Master’s and Doctoral Programs in Science and Mathematics Education, aiming at the improvement of Physics Teaching. His work emphasizes thematic approaches based on STS Education and topics related to Environmental Education and Critical Financial Education, focusing on citizenship formation, development of values and attitudes, enhancement of social and environmental awareness, as well as the development of critical and reflective thinking toward responsible decision-making that contributes to improving quality of life. His research encompasses interdisciplinarity and contextualization, employing diverse Physics Teaching methodologies and strategies at secondary, elementary, and higher education levels, enabling the construction of scientific knowledge and the understanding of aspects of the Nature of Science (NoS).

Marcos Rincon Voelzke, Cruzeiro do Sul University

He holds a Bachelor’s degree in Physics from the Federal University of São Carlos (UFSCar-1985), a Master’s degree in Astronomy from the Institute of Astronomy and Geophysics of the University of São Paulo (IAG-USP-1989), and a PhD in Natural Sciences – specialization in Astrophysics – from the Astronomical Institute of Ruhr-University Bochum, Germany (AI-RUB-1994). He completed five postdoctoral fellowships: at the Institute of Astronomy and Geophysics of the University of São Paulo (IAG-USP-1995), at the Department of Mathematics of the Paulista State University "Júlio de Mesquita Filho" (UNESP-Guaratinguetá-1998), at the Institute for Aeronomy and Extraterrestrial Research of the University of Bonn, Germany (IAEF-UB-1999), at the Astronomical Institute of Ruhr-University Bochum, Germany (AI-RUB-2007), and at the Institute for Geophysics and Extraterrestrial Physics of the Technical University of Braunschweig, Germany (IGeP-TUB-2017). He is currently a Full Professor at Cruzeiro do Sul University. He has experience in Astronomy, with emphasis on Planetary Systems, working mainly on the following topics: Astronomy, Astronomy Education, Education, Comets, Comet 1P/Halley, and Comet 67P/Churyumov-Gerasimenko.

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Published

2025-09-28

How to Cite

Rodrigues, V. A., Anastácio, M. A. S., Araújo, M. S. T. de, & Voelzke, M. R. (2025). ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0: EXPLORING THE LIMITS OF AI IN LOGICAL PROBLEMAS WITH EDUCATIONAL APPLICATION. Interdisciplinary Studies Journal, 7(5), 01–25. https://doi.org/10.56579/rei.v7i5.2335

Issue

Vol. 7 No. 5 (2025): JOURNAL OF INTERDISCIPLINARY STUDIES

Section

DOSSIER: ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0 – TRANSFORMATIONS IN TEACHING AND LEARNING

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