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Решение комплексных проблем в PISA-2012 и PISA-2015: взаимодействие со сложной реальностью
Образовательная политика. 2012. № 6. С. 34–53.
In 2012 the Programme for International Student Assessment (PISA), for the first time in the history of large-scale assessments, included a new type of problems called “interactive problems”. This article will analyze the problems. The research area behind it is the psychology of complex problem solving in a complex multi-factor environment which involves search, experimenting and control in conditions of uncertainty. The article discusses the new opportunities that open up and the problems that arise in introducing such problems in large-scale assessment practice, with particular focus on the problem of standard assessment of creative problems. It looks at the growing importance of studies into exploratory behavior and “experimentation with experimentation” and their impact on education policy.
Full text (Russian): Poddiakov, A. (2012). Reshenie kompleksnykh problem v PISA-2012 i PISA-2015: vzaimodeistvie so slozhnoi real'nost'yu [Complex Problem Solving at PISA 2012 and PISA 2015: Interaction with Complex Reality]. Obrazovatel'naya Politika, 6, 34-53. http://edupolicy.ru/wp-content/uploads/2013/11/Poddjakov-No.6.2012.pdf
Full text (English translation): Poddiakov, A. (2012). Complex Problem Solving at PISA 2012 and PISA 2015: Interaction with Complex Reality]. Obrazovatel'naya Politika, 6, 34-53. https://www.hse.ru/data/2013/11/24/1337084180/cps-in-pisa.docx
Priority areas:
humanitarian
Language:
Russian
Кириллова Ю. В., Лебедева Е. И., Journal of Modern Foreign Psychology 2025 Vol. 14 No. 3 P. 8–19
Context and relevance. The study of adaptive functioning in children with autism spectrum disorder (ASD) is criti
cally important for identifying factors that influence their successful long-term adaptation in society. The theoretical
basis of the study encompasses key cognitive constructs, including metacognitive knowledge about one’s own mental
states (theory of mind) and metacognitive control processes (executive functions). Objective. ...
Added: September 21, 2026
Лебедева Е. И., Мир психологии. Научно-методический журнал 2026 № 1 (124) С. 182–196
Целью исследования стало изучение возрастных и половых различий
взаимосвязи социометрических индексов принятия сверстниками и воспринимаемой
популярности у детей младшего школьного и младшего подросткового возрастов. Ре
зультаты показали, что популярность в группе сверстников у младших школьников и
младших подростков определяется как принятием, так и частотой проявления агрес
сивного поведения, в то время как важными факторами принятия становятся частота
проявления просоциального поведения и ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060
This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...
Added: September 21, 2026
Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052
This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...
Added: September 21, 2026
Singapore: Springer Singapore, 2025.
Added: September 21, 2026
Tomat A., Sergei O. Kuznetsov, International Journal of Approximate Reasoning 2026 Vol. 197 Article 109754
Interval Pattern Structures (IPS) provide a natural way to represent local, human-readable explanations for predictions on numerical data through vectors of intervals interpreted as axis-parallel hyper-rectangles. In this paper, we develop and evaluate an IPS-based k-nearest neighbors classifier, IPS-KNN, that explains each prediction through a single local interval description rather than through the aggregation of ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., / Series arXiv "math". 2025. No. 2511.20141.
This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in information flow analysis. Building on the concept of tensor flow divergence, which quantifies how information is transformed across network layers, we develop a two-stage optimization process. The first stage ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 169–178
This study explores the incorporation of specialized self-attention mechanisms into deep learning architectures, with a particular emphasis on segmenting human iris and pupil regions in infrared images. In this work, we present some modified versions of nonlocal blocks designed to enhance self-attentive properties while addressing the distinct characteristics of infrared imaging data. By applying these customized ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 10 Article 359
Timely identification and accurate delineation of ultra-early ischemic stroke lesions in non-contrast computed tomography (CT) scans of the human brain are of paramount importance for prompt medical intervention and improved patient outcomes. In this study, we propose a deep learning-driven methodology specifically designed for segmenting ultra-early ischemic regions, with a particular emphasis on both the ...
Added: September 21, 2026
Springer, Cham, 2025.
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 6 P. 1–20
This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...
Added: September 21, 2026
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Poddiakov A., / Series Social Science Research Network "Social Science Research Network". 2026. No. 7437658.
Clarity of knowledge and reasoning is necessary in many cases. Yet vagueness in scientific thinking related to surprise, curiosity, "ability to engage with not-knowing" (de Freitas) and abductive reasoning is also a crucially important source of scientific creativity which supplements combinatorial logic when dealing with the already known. Starting from studies by C. S. Peirce ...
Added: September 15, 2026
Гулов А. П., Касаткин П. И., Bakulev A., Вестник Томского государственного университета 2026 № 524 С. 165–176
The article examines how digitalization transforms the scale, structure, and typology of the All-Russian School Olympiad by conceptualizing it as an integrated digital environment and a cultural-educational institution. The study aims to use official Olympiad statistical reports for 2023–2025 and an analysis of the Olympiad’s digital infra-structure to describe types of Olympiad cultures at regional ...
Added: September 14, 2026
Дейнеко А. Г., Экономическая социология 2026 Т. 27 № 2 С. 142–148
The review is dedicated to the book by Vadim Radaev, Doctor of Economics and First Vice-Rector of the HSE University, Watching Movies, Understanding Life, first published in 2023 and republished in 2024 and 2025. This book
results from a unique project at HSE University's Faculty of Social Sciences, running for over 20 years. This pioneering experience ...
Added: September 4, 2026
Zagranichny A., Irina Dashkina, Koroleva D., , in: GenAIED: Cultural and Pedagogical Catalysts in Higher Education.: L.: Routledge, 2027. Ch. 12 P. 181–198.
Быстрая интеграция искусственного интеллекта (ИИ) в высшее образование усилила потребность в нормативно-правовых рамках, которые уравновешивают инновации и снижение рисков. В данной главе исследуются регуляторные предпочтения сотрудников высших учебных заведений в отношении ИИ. Анализ основывается на рамке культурных измерений Хофстеде для изучения того, как индивидуальные культурные ориентации влияют на отношение к регулированию ИИ. Эмпирическая выборка включает ...
Added: August 6, 2026
Maloshonok N., Журнал исследований социальной политики 2026 Т. 24 № 2 С. 331–352
Дальневосточный федеральный округ (ДВФО) сталкивается с дефицитом высококвалифицированных кадров, что актуализирует вопросы качества высшего образования и формирования человеческого капитала в регионе. Одним из инструментов оценки образовательной среды в международной практике выступает концепция студенческой вовлеченности, рассматриваемая как индикатор участия студентов в образовательных практиках, способствующих обучению и развитию. Цель статьи заключается в выявлении особенностей студенческой вовлеченности в вузах ДВФО и определении их значения для образовательной политики региона. ...
Added: July 23, 2026
Капитонов И. А., Москвитин О. А., Современное профессиональное образование 2026 № 5 С. 55–57
В статье рассматривается проблема институциональной неготовности российской системы образования и науки к массовому распространению генеративного искусственного интеллекта. Авторы фиксируют парадоксальную асимметрию: студенты и аспиранты активно применяют ИИ для делегирования текстопроизводства, тогда как научно-педагогические работники в большинстве своём не используют его как исследовательский инструмент. Показано, что в основе этой асимметрии лежит не «злой умысел» участников, а ...
Added: June 23, 2026