Artificial Intelligence Tools in University Teaching: A Study Based on the SAMR Model (Original)

Authors

Keywords:

learning; university teaching; artificial intelligence; SAMR model; educational technologies

Abstract

The integration of artificial intelligence tools in university teaching is a topic of growing relevance, given the impact these technologies have on the transformation of educational processes. This study analyzed the implementation of intelligent technological tools in higher education, using the SAMR model as a theoretical framework to assess the level of technological integration and its effect on learning. A mixed approach was adopted, combining quantitative and qualitative methods at the theoretical, empirical, and statistical-mathematical levels. Data were collected on the use and perception of artificial intelligence tools used in university education. The results indicated that most tools are used at the replacement and augmentation levels, with a gradual shift toward modification and redefinition in specific teaching practices. Furthermore, a positive impact on the development of digital, communication, and critical thinking skills in students was evident. The main conclusion indicates that the integration of artificial intelligence, mediated by the SAMR model, has the potential to significantly transform university teaching, provided that ongoing teacher training and a reflective pedagogical approach that enhances educational innovation are promoted. This study is part of the research projects: Technological Tools under the SAMR Model. Case Study: Southern Manabí State University and Technologies Applied to Decision-Making for Innovation and Comprehensive Development in the Southern Manabí Region.

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Author Biographies

  • Mario Javier Marcillo Merino, Universidad Estatal del Sur de Manabí. Jipijapa. Manabí. Ecuador.

    Ingeniero en Sistema. Magister en Docencia Universitaria. Docente de la carrera Tecnología de la Información en la Facultad de Ciencias Técnicas

  • Kirenia Maldonado Zuñiga, Universidad Estatal del Sur de Manabí. Jipijapa, Manabí, Ecuador.

    Doctorando en Tecnología de la Información y Comunicación, Universidad Nacional de Piura, Perú. Magister en Ciencias de la Educación, Licenciada en Educación Informática. Catedrática de la maestría en TIC del Instituto de Posgrado Unesum. Docente de la carrera Tecnologías de la Información de la Facultad Ciencias Técnicas

  • Karina Virginia Mero Suarez, Universidad Estatal del Sur de Manabí. Jipijapa. Manabí. Ecuador.

    Ingeniera en Sistemas. Magister en Docencia Universitaria e Investigación Educativa. Magister en Informática Empresarial. Doctora en Tecnologías de la Información. Docente de la carrera de Tecnologías de Información. Facultad de Ciencias Técnicas.

  • Edwin Joao Merchán Carreño, Universidad Estatal del Sur de Manabí. Jipijapa. Manabí. Ecuador.

    Ingeniero en Sistemas. Magister en Docencia Universitaria e Investigación Educativa. Magister en Informática Empresarial. Doctor en Tecnologías de la Información. Docente de la carrera de Tecnologías de la Información.  Facultad de Ciencias Técnicas.

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Published

2025-07-01

How to Cite

Artificial Intelligence Tools in University Teaching: A Study Based on the SAMR Model (Original). (2025). Roca. Scientific-Educational Publication of Granma Province., 21(4), 13-26. https://revistas.udg.co.cu/index.php/roca/article/view/5191

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