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License Agreement on scientific materials use.
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A didactic model for developing sociolinguistic appropriateness in foreign language academic writing for linguistics undergraduates through the integration of prompts based on artificial intelligence and peer assessment
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Ivan Evgenievich Rodikov
Peoples’ Friendship University of Russia named after Patrice Lumumba, Moscow
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Submitted:
April 17, 2026
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Abstract.
The research aims to theoretically substantiate and describe a didactic model for developing sociolinguistic appropriateness in foreign language (L2) academic writing among linguistics undergraduates by integrating prompts based on artificial intelligence (AI-based prompts) and peer assessment. The article presents the model’s structure and details its implementation within a face-to-face English academic writing course as part of the “Practical Course of the First Foreign Language” discipline. The described model involves a sequential workflow: drafting, obtaining AI-based prompts via standardized requests (considering genre and addressee), self-correction, peer review by two classmates using an analytical rubric, and final editing. The analytical rubric provides a unified criterion-based foundation for the formative assessment of the text’s sociolinguistic appropriateness and is utilized both during peer review and when evaluating AI-generated recommendations. The scientific novelty of the study lies in the development of a reproducible formative assessment procedure for L2 academic writing, in which AI-based prompts and peer assessment are unified by a common criteria framework. As a result of testing the model through a formative experiment, it was established that the score increase in the experimental group significantly outperformed the control group: 3.6 points on the total scale and 1.2 points for the sociolinguistic appropriateness component, compared to 1.4 and 0.4 points, respectively. Approximately 40% of the edits in the experimental group were related to register, speech etiquette, audience awareness, and the degree of hedging (categoricalness). The findings suggest that the proposed model is a promising didactic solution for organizing step-by-step L2 academic writing within face-to-face educational settings.
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Key words and phrases:
социолингвистическая уместность
академическое письмо на иностранном языке
подсказки на основе искусственного интеллекта
взаимооценивание
формирующее оценивание
sociolinguistic appropriateness
foreign language academic writing
prompts based on artificial intelligence
peer assessment
formative assessment
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