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Возможности генеративного искусственного интеллекта для проверки академических текстов на английском языке
RHEMA. РЕМА. 2025. № 3. С. 82–102.
Bogolepova S., Греченко А. А.
The paper aims to assess the potential of generative AI for evaluating and providing feedback on academic texts based on criteria that account for the features of anglosaxon academic discourse. Twenty texts in the "Project Proposal" format were evaluated both by an experienced instructor and by generative AI. The scores assigned were analyzed statistically, and the feedback was analyzed thematically. It was found that AI is capable of identifying strengths and weaknesses in students' work and generating feedback based on the criteria; however, the level of agreement between AI and expert scores was low, and the formats of feedback provision differed significantly. The integration of AI can help standardize assessments and facilitate educational analytics, but to ensure reliable evaluation and personalized feedback, the expertise of an instructor is necessary.
Language:
Russian
Keywords: generative artificial intelligence in educationгенеративный искусственный интеллект в образованииоценочная обратная связьEnglish-language academic discourseartificial intelligence in language learningevaluative feedbackанглоязычный академический дискурсискусственный интеллект в обучении языкам
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This volume explores how generative artificial intelligence is reshaping universities worldwide. Rather than focusing only on the technology, it shows how Artificial Intelligence (AI) is changing how students learn, teachers teach, and institutions operate, while also being shaped by cultural values, educational traditions, and social expectations.
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СПб.: Издательство СПбГУ, 2026.
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