Teaching with Generative Artificial Intelligence: Enhancing Critical Thinking and Ethical Awareness in Academic Writing

Authors

DOI:

https://doi.org/10.53761/28y4hw95

Keywords:

artificial intelligence, language teaching, writing, critical thinking

Abstract

This article explores the integration of artificial intelligence (AI) in an English course for Academic and Professional Communication, situated within the broader context of digital transformation in higher education and the evolving demands of academic integrity. Rather than restricting AI use, the study adopts a critical digital pedagogy approach to foster students' awareness of ethical and effective engagement with AI tools. The activities were designed to encourage reflective practices, promote critical analysis of AI-generated content, and establish clear guidelines for responsible use. These activities include setting explicit expectations for AI-assisted work, integrating reflective assessments to evaluate AI outputs, and designing tasks that strengthen students’ critical thinking and academic integrity. Additionally, the approach aims to improve students’ retention of the course content by encouraging them to use AI not as a shortcut, but as a means to actively reflect, process, and engage with the material explained in class. By interacting with AI to rephrase, question, edit, or elaborate on key concepts, students become more conscious of the content, reinforcing understanding and promoting deeper learning. The results suggest that the students developed a more nuanced understanding of the capabilities and limitations, enabling them to engage with it as a support tool rather than a substitute for the original work. The study concludes that structured integration of AI can enhance students' digital literacy, content retention, and critical thinking skills in the academic context.

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Author Biographies

  • Hanane Benali Taouis , Universidad Politécnica de Madrid, Spain

    Dr. Hanane Benali Taouis is an Associate Professor at Universidad Politécnica de Madrid. She is a member of research groups such as ANCORABI, Entelearn, and T2T: Technology to Teach, and leads projects including Digital Learn and AILearn. Her research focuses on academic writing, communication strategies, corpus analysis, and the integration of technology in higher education. Dr. Benali Taouis has published with renowned academic publishers, including Peter Lang, Tirant Humanidades, and IGI Global, and has contributed to journals such as Human Review and Complutense Journal of English Studies. She is also a reviewer for high-impact journals such as Lingua.

  • Almudena Díaz García , Universidad Politécnica de Madrid, Spain

    Almudena Díaz García is a Lecturer in the Department of Linguistics Applied to Science and Technology at the Universidad Politécnica de Madrid (UPM). She holds a BA in English Studies and an MA in English Linguistics from the Complutense University of Madrid, as well as an MA in Applied Linguistics for Teaching Spanish as a Foreign Language. She is currently pursuing a PhD in English Linguistics at the Complutense University of Madrid.

    Her teaching experience includes positions at institutions such as Middlebury College, the Complutense University of Madrid, and Pompeu Fabra University. At UPM, she teaches courses on building communication skills and on Spanish for academic and professional communication.

    Her research interests focus on sociolinguistics, pragmatics, digital discourse, and online communication, with particular attention to phenomena such as hate speech and interaction in social media. She is a member of the research group Discurso y Comunicación en Lengua Inglesa: Estudios de Lingüística Cognitiva y Funcional and has presented her work at several international conferences.

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Published

2026-05-03

Issue

Section

Special Issue: Generative AI Ethical Landscapes

How to Cite

Teaching with Generative Artificial Intelligence: Enhancing Critical Thinking and Ethical Awareness in Academic Writing. (2026). Journal of University Teaching and Learning Practice. https://doi.org/10.53761/28y4hw95