Use of Artificial Intelligence Models in Optimising Mathematics Teaching in Higher Education.

Authors

  • Jorge Pablo Rivas Díaz Universidad Anáhuac México https://orcid.org/0000-0002-5183-3235
  • Carmen de las Mercedes Cevallos Méndez Universidad Estatal de Milagro
  • Zulema Jacoba Llange Nieves Universidad Nacional Hermilio Valdizan

DOI:

https://doi.org/10.59282/reincisol.V3(6)4334-4355

Keywords:

Artificial Intelligence; university teaching; mathematical problem solving; automated tutoring systems.

Abstract

Artificial Intelligence (AI) has transformed higher education, particularly in the area of solving mathematical problems. This technology facilitates the analysis of large volumes of data and provides immediate feedback, assisting students in grasping complex mathematical concepts. The aim of this research is to evaluate the use of AI in problem-solving within university environments, identifying the most effective technologies and their impact on academic performance.

The methodology is based on a literature review of recent studies obtained from databases such as Scopus, Web of Science, and Google Scholar. Research was selected that focuses on empirical applications of AI in mathematics learning within higher education.

The results indicate that AI has significantly improved students' academic performance and analytical skills. Technologies such as intelligent tutoring systems and machine learning algorithms offer personalised solutions, enhancing knowledge retention and accelerating the resolution of complex problems. Moreover, AI encourages autonomous and proactive learning. However, barriers were identified, such as the need to better train educators and ensure equitable access to these technologies.

While AI is having a transformative impact on the teaching of mathematics in higher education, it is essential to overcome technical limitations to guarantee its full effectiveness in the classroom.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Álvarez, J., & Cepeda, L. (2024). El impacto de la inteligencia artificial en la enseñanza y el. Revista Latinoamericana de ciencias sociales y humanidades , Doi: https://doi.org/10.56712/latam.v5i3.2061 Disponible en : file:///C:/Users/Athlon%20AMD/Downloads/Dialnet-ElImpactoDeLaInteligenciaArtificialEnLaEnsenanzaYE-9566741.pdf.

Baute, L., & Fernández, M. (2022). La tutoría científica; algunas experiencias. Conrado, Disponible en : http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1990-86442022000500490.

Béjar, L., & Chambi, F. (2021). Educación constructivista: una apuesta transformadora. Publicaciones de la Facultad de Educación y Humanidades del Campus de Melilla, Disponible en : https://www.scopus.com/record/display.uri?eid=2-s2.0-85093516792&origin=resultslist&sort=plf-f&src=s&sid=2e6f10c700e7d812eb9bf1fcc21939c1&sot=b&sdt=b&s=TITLE-ABS-KEY%28constructivista+educacion%29&sl=34&sessionSearchId=2e6f10c700e7d812eb9b.

Borbor, B., Pozo, J., Ayala, J., & Sánchez, C. (2024). Estrategias mediadas por IA en la enseñanza de las. Social Fronteriza , Doi: 10.59814/resofro.2024.4(5)e408 Disponible en : file:///C:/Users/Athlon%20AMD/Downloads/Estrategias+de+Ense%C3%B1anza+de+las+Matem%C3%A1ticas+con+IA+2%20(2).pdf.

Carbonell, C., Burgos, S., Calderón, D., & Paredes, O. (2023). La Inteligencia Artificial en el contexto de la formación educativa. Episteme Koinonía. Revista Electrónica de Ciencias de la Educación, Humanidades, Artes y Bellas Artes, Doi: https://doi.org/10.35381/e.k.v6i12.2547 Disponible en : https://ve.scielo.org/scielo.php?script=sci_arttext&pid=S2665-02822023000200152.

Cárdenas, S., Balladares, M., Vargas, M., & Murillo, J. (2024). Aplicación de herramientas de chat de inteligencia artificial para mejorar la enseñanza y aprendizaje de las Matemáticas: Un enfoque innovador. Polo del conocimiento , Doi: https://doi.org/10.23857/pc.v9i5.7125 Disponible en : https://polodelconocimiento.com/ojs/index.php/es/article/view/7125.

Cordero, M. (2023). Inteligencia Artificial en el aula: oportunidades y desafíos para la didáctica de la matemática y física universitaria. REVISTA INTERNACIONAL DE PEDAGOGÍA E INNOVACIÓN EDUCATIVA, Disponible en : file:///C:/Users/Athlon%20AMD/Downloads/RIPIE040109.pdf.

Menacho, M., Pizarro, L., Osorio, J., Osorio, J., & León, B. (2024). Inteligencia artificial como herramienta en el aprendizaje autónomo de los estudiantes de educación superior. Revista InveCom, Doi: https://doi.org/10.5281/zenodo.10693945 Disponible en : https://ve.scielo.org/scielo.php?script=sci_arttext&pid=S2739-00632024000200158.

Molina, Á. (2023). Introducción a la Inteligencia Artificial desde el aula de Matemáticas. Epsilon: Revista de la Sociedad Andaluza de Educación Matemática "Thales, Disponible en : https://dialnet.unirioja.es/servlet/articulo?codigo=9175902.

Published

2024-10-30

How to Cite

Rivas Díaz, J. P. ., Cevallos Méndez , C. de las M. ., & Llange Nieves, Z. J. . (2024). Use of Artificial Intelligence Models in Optimising Mathematics Teaching in Higher Education. REINCISOL, 3(6), 4334–4355. https://doi.org/10.59282/reincisol.V3(6)4334-4355
Bookmark and Share

10.59282

reincisol