?
ОПРЕДЕЛЕНИЕ СФОРМИРОВАННОСТИ КОМПЕТЕНЦИЙ СТУДЕНТОВ НА ОСНОВЕ ЦИФРОВОГО СЛЕДА: СИСТЕМАТИЧЕСКИЙ ОБЗОР ЛИТЕРАТУРЫ
Педагогическое образование и наука. 2023. № 4. С. 125–130.
Kutuzov A., Богданова А. В.
The purpose of the review is to analyze the state of research on the use of the digital footprint of students to determine the formation degree of their competencies. In accordance with the parameters defined in the PRISMA declaration, the review uses the methodology of bibliographic research to study the WoS, Scopus and RSCI databases. When searching for articles published between 2014 and 2022, we analyze information obtained using descriptive statistics and content analysis. The results show the prevalence of empirical research in the European and Russian contexts. The studies are quantitative in nature and, as a rule, use the methodology of surveys and questionnaires. It is proposed to continue research using big data technologies.
Korchak A., Hughes C., Costley J., Journal of Research on Technology in Education 2026 P. 1–17
Generative artificial intelligence (Gen-AI) is increasingly used in higher education, yet its role in collaborative learning remains unclear. This study examines how students use Gen-AI during group lesson-planning tasks in an undergraduate education course. Drawing on Vygotsky’s sociocultural theory, we introduce the concept of “an effort space” and apply the categories of appropriate, over-, and ...
Added: October 8, 2026
Lysova-Golomzina E., Dobryakova M. S., Мир психологии. Научно-методический журнал 2026 № 3 С. 285–307
The study focuses on the cognitive mechanisms associated with teachers’ work with new, conceptually complex material, both when they are experts in philological analysis and when they design the acquisition of subject matter. The scientific novelty of the article lies in its interdisciplinary approach, which allows for an explanation of the interaction between “threshold” subject ...
Added: October 7, 2026
Lyu M., Omopekunola M., Wang F., / Series 2026.aimecon-wip.55 "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con)". 2026.
Large language models (LLMs) have been proposed as a substitute for field trials in itemdifficulty estimation, but evidence about where they succeed is usually drawn from a single test form. We compare LLM difficulty predictions across three task types that make different language demands, grammar cloze, semantic cloze and reading comprehension, on two operational Grade ...
Added: October 5, 2026
Denisenko I., Petrenko O., Vasilyeva T., Киров: Межрегиональный центр инновационных технологий в образовании, 2026.
Монография посвящена преодолению разрыва между стратегическими целями развития образования и повседневной практикой школы. Научно-методическое сопровождение рассматривается как управленческий механизм перевода образовательных инициатив в устойчивые изменения педагогических и управленческих практик.
Представлена эмпирически апробированная модель научно-методического сопровождения, основанная на цикле: данные — интерпретация — гипотеза — педагогическая проба — анализ — корректировка или закрепление практики. Эмпирическая база включает ...
Added: October 5, 2026
Vradiy N., Давыдова Е. А., Просвещение. Иностранные языки 2026
В статье рассматривается проект «Учитель-партнер» как модель взаимодействия школы и вуза, объединяющая олимпиадную подготовку школьников, профориентацию и методическую поддержку учителей иностранного языка. ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89
The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...
Added: October 2, 2026
Nisskaya A., Беляевская Е. С., Современная зарубежная психология 2026 Т. 3 № 15 С. 89–97
Context. The preschool period is a critical stage for the development of prosocial behavior. Children begin to understand the feelings of others, and the foundations of empathy and mutual assistance are formed. Situation-specific expressions of care can develop into more stable forms when children are embedded in a system of social relationships. However, the specific characteristics ...
Added: October 2, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The next collection “Cases of Russian Universities” contains cases developed in the master’s program “Management in Higher Education,” which has been offered since 2011 by the Institute of Education at the National Research University Higher School of Economics. The program is intended for university staff aiming for a managerial career or seeking to develop their ...
Added: October 1, 2026
Мичурина А. А., Гуманитарные науки и образование 2026 Т. 17 № 3 С. 82–87
China pays special attention to the application of artificial intelligence (AI) technologies in various spheres of life, including education. The integration of AI into the field of education carries many opportunities. At the same time, this process is associated with a large number of risks, which raises the issue of the need for legal regulation ...
Added: October 1, 2026
Dvoinin A., Развитие личности 2025 № Спецвыпуск С. 17–20
The article outlines A.M. Dvoinin’s personal reminiscences of his teacher, the prominent psychologist Valeria Sergeevna Mukhina ...
Added: September 30, 2026
Patarakin Y., Kutuzov A., Искусственные общества 2026 Т. 21 № 3 Статья 10
This paper presents STiMUS (Stigmergy and Mutualism in Socio-Technical Systems), an agent-based model implemented in NetLogo 7.0. The model formalises two complementary coordination mechanisms in digital project teams. The first is stigmergy: contributor agents select shared artefacts to work on by following traces left by previous editors, without explicit communication. The second is mutualism: artefacts ...
Added: September 30, 2026
Akhmedjanova D., М.: Издательский дом НИУ ВШЭ, 2026.
Восемнадцатый выпуск серии учебно-методических пособий «Подготовка профессионалов для нового образования» посвящен преподаванию курса по метакогнитивной регуляции обучения на магистерской программе «Педагогическое образование» Института образования НИУ ВШЭ. Пособие систематизирует современные знания о природе, диагностике и развитии саморегуляции в образовании и призвано восполнить дефицит качественных русскоязычных публикаций, интегрирующих достижения отечественной научной школы и передовые международные исследования. Пособие ...
Added: September 29, 2026
Ostapenko E., Ivanov I., JOURNAL OF EDUCATION AND LEARNING 2026 Vol. 20 No. 4 P. 2288–2295
In the Russian educational context, where structured extracurricular activities are widely promoted and institutionalized by the state, the role of unstructured after-school practices in shaping socioeconomic inequalities in academic achievement remains unexplored. This study examines how unstructured after-school activities are associated with students’ academic achievement, with a particular focus on whether these associations vary across ...
Added: September 27, 2026
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
Рупова Р. М., Вопросы теологии 2023 Т. 5 № 3
В рецензии рассматривается новый издательский проект, посвященный концептуальным основам христианской теологии образования. Предложенная в нем парадигма образования, в названии которой на первом месте стоит слово «теология», свидетельствует о том, что образованию придается богословски значимый статус, оно строится в перспективе базовых ценностей человеческого бытия, связанных с богочеловеческими отношениями. Лишь в силу выстраивания этой вертикали образование может ...
Added: September 25, 2026
Cham: Springer, 2020.
Added: September 18, 2026
Ионцев М. А., Финансы и кредит 2025 Т. 31 № 12 С. 53–62
Предмет. Надзор за децентрализованными финансами. Цели. Поиск оптимальных условий для эффективного осуществления встроенного надзора за децентрализованными финансами. Методология. Использованы математические подходы, общенаучные и специальные методы научного познания: ретроспективный, системный и функционально-структурный анализ, классификация; инструментальные приемы сравнения и обобщения. Результаты. Рассмотрены основные проблемы экономического анализа встроенного надзора за децентрализованными финансами и пути решения этих проблем. Определены ...
Added: September 10, 2026
Asemota M. O., DISCOVER ARTIFICIAL INTELLIGENCE 2026 Vol. 6 Article 892
Artificial intelligence (AI) is reshaping work and human resource management, yet existing reviews largely treat competencies as secondary outcomes of AI adoption and offer limited theory-driven integration of how competency management itself is transforming. This study addresses that gap by systematically examining how competency management has evolved in AI-enabled contexts, how dominant theories explain AI-driven ...
Added: August 31, 2026
Samoilov O., Морозов З. А., Петухова Д. Р. et al., Психология человека в образовании 2023 Т. 4 № 5 С. 519–535
Introduction. The article presents a systematic review of psychological research focusing on metacognitive regulation of learning effectiveness through digital educational technologies (DET). Digital technologies are often used in education. Over the past years, self-regulated learning, i.e., the practice of using digital technologies to manage learning activities, has been gaining momentum. However, the specifics of such ...
Added: July 13, 2026
Stoyanova O., Окусков И. С., Бизнес-информатика 2026 Т. 20 № 2 С. 81–93
The integration of artificial intelligence (AI) into information technologies is reshaping competency requirements for IT specialists. However, AI competency penetration into the early phases of the Software Development Life Cycle (SDLC) – requirements analysis and planning – remains underexplored. Existing studies either rely on static competency models lacking empirical validation or analyze the labor market ...
Added: July 5, 2026
Selskiy A., Физическое воспитание и студенческий спорт 2024 Т. 3 № 3 С. 227–231
Physical education and the corresponding subject in educational programs are traditionally considered as the tools for mastering skills directly related to sport and its certain disciplines. Meanwhile, within the competency-based education approach, physical education can be understood in a much wider context, as a source of development of soft skills and even cognitive abilities. This ...
Added: June 23, 2026
Neznanov A., Glushko A., Овчинников С. et al., В кн.: Интеллектуальный анализ данных в нефтегазовой отрасли.: М.: ООО «Геомодель Развитие», 2024. С. 140–143.
With the development of monitoring systems, now we have the opportunity to collect key performance indicators of devices in the process of artificial lift. Every day a huge amount of telemetry is generated by our devices, which can be used to forecast the working mode and health state of the equipment after the process of ...
Added: April 29, 2026
Neznanov A., Емельянов В., Glushko A. et al., В кн.: Интеллектуальный анализ данных в нефтегазовой отрасли.: М.: ООО «Геомодель Развитие», 2024. С. 42–45.
The complexity of data processing in corporate information systems at the oil and gas industry is constantly growing due to increasing data quantity and heterogeneity. It requires the adoption of modern methodologies and tools for data and knowledge management. Many architectural solutions have already been tested by the OSDU consortium, but in the current conditions ...
Added: April 29, 2026