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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

A Framework of Key Competences and New Literacies

P. 27–56.
Dobryakova M. S., Froumin I., Moss G., Seel N., Barannikov K., Remorenko I.

This chapter presents the authors’ attempt to develop a conceptual framework of key competences and new literacies. We aspire to identify theoretical roots underpinning most of the other frameworks of the twenty-first century skills and, thus, offer a clue to their diversity. We analyzed over 180 national and international frameworks of key competences, trying to align them with seminal theories of cognition, development, language, personality, and learning. First, we learn to differentiate between synonyms and conceptually different elements in the frameworks, sorting out competences and literacies. Second, we divide the pool of new literacies into two fundamentally different sets: domain-general and domain-specific literacies (this lets us explain the substantive difference between, e.g., digital literacy and health literacy). Finally, we discuss the structural place of such influential concepts as problem-solving, decision-making, and learning-to-learn. The resulting framework accommodates the thinking and reasoning competence, the interpersonal competence, and the intrapersonal competence. Together with the instrumental (tool-mediated) kind of literacies (i.e., the wide use of communication tools based on sign systems), they are nested under the domain-general umbrella. Other new literacies belong to specific domains and require domain-specific knowledge, as well as domain-general competences and literacies as their prerequisites.

Language: English
DOI
Text on another site
Keywords: decision-makingcollaborationcritical thinkingcreativitycommunicative skillsself-regulationkey competencesdomain-specific knowledgecreative thinking21st Century Skillsnew literaciesproblem-solvingdigital literacyinterpersonal skillsintrapersonal skillsdomain-general knowledge

In book

Key Competences and New Literacies: From Slogans to School Reality
Springer, 2023.
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