The teaching-learning process to be tested in the era of academic integrity (AI1) x artificial intelligence (AI2)

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https://doi.org/10.25267/Tavira.2025.i30.1102

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Camera Obscura: area investigations
1102
Published: 30-12-2025
PlumX

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Abstract

While Higher Education institutions aim students to develop the concept of academic integrity (AI1), the arrival of artificial intelligence tools (AI2) like ChatGPT puts the process of teaching-learning to test. Respective to teachers, they must inculcate ethical values while students are confronted with a great deal of factors that influence them during their academic writings. Given this situation, the main objective of this article is to determine the competencies that must be developed in this era of continued immersion in AI2 to guarantee AI1. To do so, the results of a quantitative descriptive analysis of the relevant sections and questions from questionnaires of the faculty (1357 participants) and the students (4664 participants) who participated in this first data collection of the study by Partnership on University Plagiarism Prevention (PUPP), conducted in 2023, will be used to apply them to the discipline of Spanish as a foreign language (SFL). The conclusion will be that, to accomplish their respective tasks, it is necessary that faculty and students work hand in hand.

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How to Cite

Potvin, C. (2025). The teaching-learning process to be tested in the era of academic integrity (AI1) x artificial intelligence (AI2) . Tavira. Electronic Journal of Teacher Training in Linguistic and Literary Communication., (30), 1102. https://doi.org/10.25267/Tavira.2025.i30.1102

References

Consejo de Europa. (2001). Marco común europeo de referencia para las lenguas: aprendizaje, enseñanza, evaluación. Servicio de publicaciones del Consejo de Europa. https://bit.ly/44GHsMH

Consejo de Europa. (2020). Marco común europeo de referencia para las lenguas: aprendizaje, enseñanza, evaluación. Volumen complementario. Estrasburgo: Servicio de publicaciones del Consejo de Europa. www.coe.int/lang-cefr

Desinova-Schmidt, E. (2024). Academic integrity and international students: An inclusive approach. En S. E. Eaton (Ed.), Second Handbook of Academic Integrity (pp. 1187-1200). Springer.

Freeman, J. (2024). Provide or punish? Students’ views on generative AI in higher education. HEPI Policy notes 51. Higher Education Policy Institute (HEPI). https://bit.ly/3TiM6du

Gregersen, E. (2025). ChatGPT software. Encyclopaedia Britannica.

https://www.britannica.com/technology/ChatGPT

Instituto Cervantes. (2007). Plan curricular del Instituto Cervantes Niveles de referencia para el español. Madrid: Editorial Biblioteca Nueva, S. L..

Mendes Rodrigues, M. M.a, Silva, R., Borges A. P., Franco M. y Oliveira, C. (2023). Artificial intelligence: threat or asset to academic integrity” A bibliometric analysis. Kybernetes. DOI 10.1108/K-09-2023-1666

Moreno Fernández, F. (2018). Las competencias clave del profesorado de lenguas segundas y extranjeras. Instituto Cervantes. https://bit.ly/4lwbCI3

Niel, X. y Roux, D. (2010). Introduction. La révolution internet. Les 100 mots de l’internet (p. 3-10). Presses Universitaires de France.

Paivandi, S. y Espinosa, G. (2013). Les TIC et la relation entre enseignants et étudiants à l’université. Distances et médiations des savoirs, 4. https://bit.ly/46jCIOf

Peters, M. (2021). Modèle sur les stratégies de créacollage numérique. Demande de subvention de partenariat soumise au CRSH/Partnership grant application submitted to SSHRC. https://mpeters.uqo.ca/ateliers-workshops/

Peters, M. (2015). Enseigner les stratégies de créacollage numérique pour éviter le plagiat au secondaire. Revue canadienne de l’éducation, 38(3), 1-28. https://bit.ly/3GkTdzc

PUPP (2022). Objectives. PUPP. https://bit.ly/3GkBdVD

Rabadán Zurita, M. (2025, 4 de marzo). ¿Cómo aplican los docentes de lenguas extranjeras las herramientas de la inteligencia artificial en sus clases? Una revisión sistemática.

[Ponencia]. Universidad Nacional Autónoma de México (virtual), México D.F., México.

UNESCO (2023a). Global Education Monitoring Report 2023: Technology in education – A tool on whose terms?. París: UNESCO. https://bit.ly/466u9GP

UNESCO (2023b). Résumé du rapport mondial de suivi sur l’éducation 2023 : Les technologies dans l’éducation : Qui est aux commandes?. París: UNESCO. https://bit.ly/4esc9J1

Université de Moncton (UdeM). (2025a). 10.9.3 Fraude. Répertoire universitaire. UdeM. https://www.umoncton.ca/repertoire/reglements

Université de Moncton (UdeM). (2025b). IA et vos plans de cours. UdeM. https://bit.ly/44cVWnC

Valerio, C. (2024). Inteligencia artificial y enseñanza de idiomas. British Council Spain. https://bit.ly/4nsmCbo

Verdia. A. (2019). Desarrollo profesional. En Muñoz-Bassols, J., Gironzetti, E. y Lacorte, M. (Eds.), The Routledge Handbook of Spanish language teaching (pp. 667-680). Routledge.

Vez, J. M. (2015). 50 años enseñando lenguas extranjeras (1965-2015): ¿Qué no hemos hecho bien? [Conferencia plenaria]. Universidade do Porto, Porto, Portugal.