Pedagogical Strategy to Promote the Ethical Use of Artificial Intelligence among 6th-Grade Students.

Authors

  • Jonathan Ramírez Mateo Universidad Central del Este

Keywords:

Artificial Intelligence, Digital Ethics, Secondary Education, Responsible Use of Technology, Teacher Training, Digital Citizenship

Abstract

The emergence of Artificial Intelligence in secondary education has created new pedagogical opportunities, but also ethical dilemmas related to plagiarism, misinformation, privacy, and technological dependency. The study aimed to develop a pedagogical strategy to promote the ethical use of Artificial Intelligence among 12th-grade students. A mixed-method approach was adopted, with a descriptive, non-experimental, cross-sectional design. The research was conducted at a polytechnic institute in San Pedro de Macorís and involved 22 intentionally selected teachers and educational managers, as well as a sample of 60 12th-grade students chosen through probabilistic sampling. Likert-type questionnaires and documentary review were used to characterize knowledge, attitudes, practices, and institutionalization of the ethical use of Artificial Intelligence. The results revealed highly favorable attitudes among teachers toward ethical training and student support, along with acceptable levels of knowledge of ethical principles and recognition of risks. However, significant weaknesses were identified in the existence of clear regulations, the incorporation of digital ethics criteria into rubrics, and institutional monitoring mechanisms. Based on the diagnosis and theoretical framework, a strategy was designed consisting of four training modules addressing ethical principles, academic honesty, data protection, and the construction of a classroom code of ethical use. It was concluded that the strategy is relevant, contextualized, and feasible as a response to the need to move from a spontaneous use of Artificial Intelligence to a culture of ethical, critical, and responsible use in secondary education.

Downloads

Download data is not yet available.

Author Biography

  • Jonathan Ramírez Mateo, Universidad Central del Este

    None

References

1. Arias Ortiz, E., Castro Vergara, N., Forero Pabón, T., Della Nina Gambi, G., Giambruno, C., Pérez Alfaro, M., & Rodríguez Segura, D. (2025). Inteligencia artificial y educación: construyendo el futuro mediante la transformación digital. Banco Interamericano de Desarrollo. https://doi.org/10.18235/0013500 publications.iadb.org

2. Balladares Burgos, J. A. (2023). Principios y valores para una ética digital. Oxímora. Revista Internacional de Ética y Política, (23), 1–16. https://doi.org/10.1344/oxmora.23.2023.42325 ResearchGate

3. Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE. https://us.sagepub.com/en-us/nam/designing-and-conducting-mixed-methods-research/book241842 collegepublishing.sagepub.com

4. Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflexiones sobre la ética, potencialidades y retos de la inteligencia artificial en el marco de la educación de calidad (ODS4). Comunicar, 31(74), 37–47. https://doi.org/10.3916/C74-2023-03 revistacomunicar.com

5. Hernández-Sampieri, R., Fernández-Collado, C., & Baptista-Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill. https://dialnet.unirioja.es/servlet/libro?codigo=775008 Dialnet

6. Hernández-Sampieri, R., & Mendoza, C. P. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill Education. https://doi.org/10.22201/fesc.20072236e.2019.10.18.6 virtual.cuautitlan.unam.mx

7. Mera, J. S. M., Lucio Paredes, A. O., & Chicaiza Morocho, D. C. (2025). Uso ético pedagógico de la inteligencia artificial en educación superior. Ciencia Latina, 9(2), 11459–11478. https://ciencialatina.org/index.php/cienciala/article/view/19082 ciencialatina.org

8. Paguay-Simbaña, M., Jimenez-Abad, D., Quiliguango-Lanchimba, V., Maynaguez-Canacuan, M., Coello-García, C., & Coello-Ortiz, S. (2024). La ética en el uso de la inteligencia artificial en los procesos educativos. Retos de la Ciencia, 1(4), 145–158. https://doi.org/10.53877/rc.8.19e.202409.12 Retos de la Ciencia

9. Secretaría General Iberoamericana. (2023). Carta Iberoamericana de principios y derechos en entornos digitales. Conferencia Iberoamericana. https://www.segib.org/es/documento/carta-iberoamericana-de-principios-y-derechos-en-entornos-digitales Secretaría General Iberoamericana

10. UNESCO. (2021). Recomendación sobre la ética de la inteligencia artificial. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. https://unesdoc.unesco.org/ark:/48223/pf0000381137 en.unesco.org

11. UNESCO. (2023). Orientaciones sobre la utilización de la inteligencia artificial generativa en la educación y la investigación. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. https://unesdoc.unesco.org/ark:/48223/pf0000386543 wp.table.media

12. UNESCO. (2021). AI and education: A guidance for policy-makers. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000376709

Downloads

Published

2026-05-02

Issue

Section

Investigación Académica en Ciencias de la Salud

How to Cite

Pedagogical Strategy to Promote the Ethical Use of Artificial Intelligence among 6th-Grade Students. (2026). UCE Ciencia. Revista De Postgrado, 14(1). https://uceciencia.edu.do/index.php/OJS/article/view/469

Similar Articles

1-10 of 56

You may also start an advanced similarity search for this article.