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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Teaching AI-Enabled Business Communication in Higher Education: A Practical Framework

Business and Professional Communication Quarterly. 2024. Vol. 87 . No. 3 . P. 511–523.
Natalia Riapina

This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence, cognitive load management, and constructivist learning principles. The framework is exemplified through various tasks, including role-playing with AI chatbots, analyzing non-verbal cues, communication simulations, interactive presentation assessments, and collaborative AI-supported projects. Practical considerations for implementation, including technological infrastructure, faculty training, ethics, curriculum integration, and assessment strategies, are discussed. Future directions and implications for business communication education are also explored.

Research target: Education
Language: English
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Keywords: высшее образованиеискусственный интеллектbusiness communicationsпреподавание и обучениеhigher educationconceptual frameworkинформационные технологии в обученииadaptation and integrationбизнес-коммуникацияAI (artificial intellence)AI-enabled business communicationinstructional practices
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