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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
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September 9, 2026
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Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Clausal complexity of expert and student writing: a corpus-based analysis of papers in social sciences

Language Learning in Higher Education. 2022. Vol. 12. No. 2. P. 453–475.
Smirnova E. A.

Syntactic complexity has been extensively approached in the fields of corpus linguistics and academic discourse studies. However, works focusing on disciplinary variation in terms of linguistic complexity and comparison of professional and novice academic writing are scarce. Addressing these issues is likely to have important implications for EAP/ESP practitioners in terms of selection of target structures and learning material design. This study is a corpus analysis of the use of clausal complexity features in two social sciences, management and economics. The research is based on two kinds of corpora: expert corpora which comprise articles published in peer-reviewed journals, and learner corpora of L2 undergraduate students’ research papers. This work aims at answering two questions: Do clausal complexity features vary in the texts in management and economics? What are the differences in syntactic use between the academic texts written by professional authors and learner writing? The data showed that economists and managers tend to use the structures under consideration with significantly different frequencies. The professional writing was found to demonstrate more signs of clausal complexity than the learners’ texts.

Research target: Philology and Linguistics
Language: English
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DOI
Text on another site
Keywords: corpus analysisacademic discourselearner corpusL2 writingdisciplinary variation
Publication based on the results of:
Automated Detection of Writing Inaccuracies for Students of English in Russia (2021)
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