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L’Évaluation Des Compétences Rédactionnelles À L’Épreuve De L’Ia Générative

Author

Listed:
  • Riadh GHESSIL

    (Associate Professor PhD in Language Sciences and Teaching French as a F.L., University of Boumerdès, Algeria, researcher at the TECLANG Lab)

  • Sarah SLIMANI

    (Senior Lecturer PhD in Literary Texts and Teaching French as a Foreign Language, University of Boumerdès, TECLANG Lab, Algeria)

Abstract

This paper examines the assessment of writing skills at university in the generative artificial intelligence era from a pedagogical and ethical perspective, highlighting the challenges and issues that the rise of generative artificial intelligence poses for assessors. The aim of this article is to initiate a debate on AI and its impact on the assessment process and to present the possibilities for effective and fair assessment in the age of AI, which is designed to facilitate access to information and guarantee time savings, but which risks complicating the assessor’s task as much as it facilitates that of the writer. Our aim is to consolidate traditional evaluation tools, to support the reforms of the university system and to promote higher education and scientific research by reporting on the teaching practices of teachers and evaluators, and to ensure that they are kept up to date. How can we deal with fraud using artificial intelligence? How can students’ writing skills be assessed effectively and fairly in the age of AI? Finally, what alternatives to traditional assessment? What about the ethical dimension in this context?

Suggested Citation

  • Riadh GHESSIL & Sarah SLIMANI, 2026. "L’Évaluation Des Compétences Rédactionnelles À L’Épreuve De L’Ia Générative," Annals of the University of Craiova, Series Psychology, Pedagogy, Teacher Training Department, University of Craiova, vol. 48(1), pages 76-89, June.
    • Handle: RePEc:edt:aucspp:v:48:y:2026:i:1:p:76-89
    DOI: 10.5281/zenodo.21058557
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    References listed on IDEAS

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    1. S.S. Pathak & Mahajan K.D, 2025. "Artificial Intelligence- A Leap in Agriculture," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(5), pages 380-382, May.
    2. Lou, Zhukun & Li, Can & Tong, Chengsheng, 2025. "Artificial intelligence and corporate investment efficiency," International Review of Economics & Finance, Elsevier, vol. 104(C).
    Full references (including those not matched with items on IDEAS)

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    • Z0 - Other Special Topics - - General

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