Use of ChatGPT in Microcurricular Planning: A Strategy for Its Continuous Improvement

Authors

  • Servio Lenin Zatan Carpintero Universidad Bolivariana del Ecuador, Durán Ecuador https://orcid.org/0009-0004-0300-1348
  • Mónica Gioconda Asqui Quillupangui Universidad Bolivariana del Ecuador, Durán Ecuador
  • Avello Martínez Raidell Universidad de la Coruña, La Coruña-España https://orcid.org/0000-0001-7200-632X
  • Tatiana Tapia Bastidas Universidad Bolivariana del Ecuador, Durán Ecuador

DOI:

https://doi.org/10.56200/mried.v4i12.10835

Keywords:

ChatGPT, microcurricular planning, artificial intelligence, teaching, pedagogical innovation

Abstract

Microcurricular planning represents a technical task that demands precise articulation by teachers. The growing administrative burden and increasing demands for contextual adaptation have motivated the integration of artificial intelligence in this domain. This study aimed to analyze the effect of personalized use of ChatGPT as a support tool for the continuous improvement of microcurricular planning. A mixed-methods, applied, and explanatory approach was adopted, using a pre-experimental design with pretest and posttest measurements in a single group. Ten teachers from an educational institution in the city of Machala participated, receiving institutional guidelines for the use of ChatGPT configured according to the national curriculum. A structured survey and an analytical rubric were used to assess teacher perceptions and the technical quality of the lesson plans. The results showed significant improvements across all evaluated dimensions, with notable increases in attention to diversity (+2.0 points) and organizational efficiency (+1.5). Increases in methodological coherence and content contextualization were also observed. It is concluded that guided use of ChatGPT, under pedagogical criteria and with professional support, enhances but does not replace teacher planning, promoting more efficient and reflective practices.

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Author Biographies

Servio Lenin Zatan Carpintero, Universidad Bolivariana del Ecuador, Durán Ecuador

Bachelor in Educational Informatics and teacher at Unidad Educativa Dr. Jose Miguel Garcia Moreno (El Guabo, Ecuador), where he has been working for 5 years.

Mónica Gioconda Asqui Quillupangui, Universidad Bolivariana del Ecuador, Durán Ecuador

English teacher at Unidad Educativa Municipal Milenio Bicentenario (Quito, Ecuador). She has 16 years of experience teaching English at different educational levels, with a strong emphasis on active methodologies, ICT integration, and formative assessment.

Avello Martínez Raidell, Universidad de la Coruña, La Coruña-España

Docente de la Universidad Bolivariana del Ecuador y la Universidad de la Coruña, España

Tatiana Tapia Bastidas, Universidad Bolivariana del Ecuador, Durán Ecuador

Universidad Bolivariana del Ecuador, Durán Ecuador

References

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4337484 DOI: https://doi.org/10.2139/ssrn.4337484

Bejar Alegria, M. X., Anangonó Rosero, G. G., Vera Arroyo, D. M., & Cango Zhinín, M. Á. (2025). Integración de IA en el Aula: Estrategias para que los Docentes Integren IA en sus Métodos de Enseñanza, Optimizando el Tiempo y la Interacción con los Estudiantes. Revista Social Fronteriza, 5(1). https://doi.org/10.59814/resofro.2025.5(1)613 DOI: https://doi.org/10.59814/resofro.2025.5(1)613

Calderón Delgado, M. (2020). La planificación microcurricular: Una herramienta para la innovación de las prácticas educativas.: MICROCURRICULAR PLANNING: A TOOL FOR INNOVATION IN EDUCATIONAL PRACTICES. ReHuSo: Revista de Ciencias Humanísticas y Sociales, 4(2), 103-111. https://doi.org/10.33936/rehuso.v4i2.2900 DOI: https://doi.org/10.33936/rehuso.v4i2.2900

Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11 DOI: https://doi.org/10.11648/j.ajtas.20160501.11

Freire Quintana, J. L., Páez Quinde, M. C., Núñez Espinoza, M., Narváez Ríos, M., & Infante Paredes, R. (2018). El diseño curricular, una herramienta para el logro educativo / Curriculum design, a tool for educational achievement. Revista de Comunicación de la SEECI, 75-86. https://doi.org/10.15198/seeci.2018.45.75-86 DOI: https://doi.org/10.15198/seeci.2018.45.75-86

Gupta, B., Mufti, T., Sohail, S. S., & Madsen, D. Ø. (2023). ChatGPT: A brief narrative review. Cogent Business & Management, 10(3), 2275851. https://doi.org/10.1080/23311975.2023.2275851 DOI: https://doi.org/10.1080/23311975.2023.2275851

Hernández, R., Fernández, C., & Baptista, P. (2014). Metodología de la investigación. McGraw-Hill.

Kosmyna, N., Cabirol, V., & Zhao, Y. (2025). Your brain on ChatGPT: Cognitive impact of generative AI use. MIT Cognitive Science Lab Report. https://www.techlearning.com/news/your-brain-on-chatgpt-everything-educators-need-to-know-about-mits-ai-study

Lee, S., Jeon, J., & Choe, H. (2025). Enhancing Pre‐Service Teachers’ Global Englishes Awareness with Technology: A Focus on AI Chatbots in 3D Metaverse Environments. TESOL Quarterly, 59(1), 49-74. https://doi.org/10.1002/tesq.3300 DOI: https://doi.org/10.1002/tesq.3300

Ministerio de Educación. (2017). Currículo de los Niveles de Educación Obligatoria. Subnivel Medio. Ministerio de Educación. https://www.educacion.gob.ec/wp-content/uploads/downloads/2019/09/EGB-Media.pdf

Mondal, H., Marndi, G., Behera, J. K., & Mondal, S. (2023). ChatGPT for Teachers: Practical Examples for Utilizing Artificial Intelligence for Educational Purposes. Indian Journal of Vascular and Endovascular Surgery, 10(3), 200-205. https://doi.org/10.4103/ijves.ijves_37_23 DOI: https://doi.org/10.4103/ijves.ijves_37_23

Padilla Gómez, R. R., Castro Tacuri, S. E., Vera Panchana, M. J., & Mejillón González, Y. L. (2024). Chatgpt como herramienta para la planificación de contenidos educativos. Conocimiento global, 9(2), 288-304. https://doi.org/10.70165/cglobal.v9i2.422 DOI: https://doi.org/10.70165/cglobal.v9i2.422

Panday-Shukla, P. (2025). Exploring generative artificial intelligence in teacher education. Teaching and Teacher Education, 165, 105088. https://doi.org/10.1016/j.tate.2025.105088 DOI: https://doi.org/10.1016/j.tate.2025.105088

Plúas Burgos, J. J., Soledispa Baque, C. J., Limón Rosales, A. J., & Jiménez Ramírez, C. N. (2024). Chatgpt como herramienta para la planificación microcurricular del currículo Ecuatoriano. Conocimiento global, 9(3), 41-62. https://doi.org/10.70165/cglobal.v9i3.438 DOI: https://doi.org/10.70165/cglobal.v9i3.438

Posso-Pacheco, R. J., Barba-Miranda, L. C., Rodríguez-Torres, Á. F., Núñez-Sotomayor, L. F. X., Ávila-Quinga, C. E., & Rendón-Morales, P. A. (2020). Modelo de aprendizaje microcurricular activo: Una guía de planificación áulica para Educación Física. Revista Electrónica Educare, 24(3), 1-18. https://doi.org/10.15359/ree.24-3.14 DOI: https://doi.org/10.15359/ree.24-3.14

Posso-Pacheco, R. J., Gutiérrez-Ramos, E. A., Chica-Montero, N. J., Alemán-Aguay, J. A., Rondal-Guanotasig, M. D. C., & Mullo-Cóndor, K. S. (2024). Evaluation of Artificial Intelligence Technologies and the Metaverse in Adapting Pedagogical Strategies. Metaverse Basic and Applied Research, 3, 68. https://doi.org/10.56294/mr202468 DOI: https://doi.org/10.56294/mr202468

Segarra Ciprés, M., Grangel Seguer, R., & Belmonte Fernández, Ó. (2024). ChatGPT como herramienta de apoyo al aprendizaje en la educación superior: Una experiencia docente. Revista Tecnología, Ciencia y Educación, 7-44. https://doi.org/10.51302/tce.2024.19083 DOI: https://doi.org/10.51302/tce.2024.19083

Valencia Lucero, J. D., Zambrano Godoy, M. H., & Rosas Abarca, J. C. (2025). Entre la Sobrecarga Administrativa y la Innovación: Estrés Docente y Adopción de Metodologías Activas en la Enseñanza en el Nivel Superior Tecnológico. Ciencia Latina Revista Científica Multidisciplinar, 9(1), 12279-12295. https://doi.org/10.37811/cl_rcm.v9i1.16802 DOI: https://doi.org/10.37811/cl_rcm.v9i1.16802

Van Den Berg, G., & Du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences, 13(10), 998. https://doi.org/10.3390/educsci13100998 DOI: https://doi.org/10.3390/educsci13100998

Wang, J., & Fan, W. (2025). The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: Insights from a meta-analysis. Humanities and Social Sciences Communications, 12(1), 621. https://doi.org/10.1057/s41599-025-04787-y DOI: https://doi.org/10.1057/s41599-025-04787-y

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0

Published

2025-09-15

How to Cite

Zatan Carpintero, S. L., Asqui Quillupangui, M. G., Martínez Raidell, A., & Tapia Bastidas, T. (2025). Use of ChatGPT in Microcurricular Planning: A Strategy for Its Continuous Improvement. MENTOR Revista De investigación Educativa Y Deportiva , 4(12), 609–641. https://doi.org/10.56200/mried.v4i12.10835