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Информатизация образования и методика электронного обучения: цифровые технологии в образовании: Материалы VII Международной научной конференции, Красноярск, 19–22 сентября 2023 г.
Krasnoyarsk :
Красноярский государственный педагогический университет им. В.П. Астафьева, 2023.
Under the general editorship: М. В. Носков
Chapters
Semenov A., Uvarov A., Рудченко Т. А., В кн.: Информатизация образования и методика электронного обучения: цифровые технологии в образовании: Материалы VII Международной научной конференции, Красноярск, 19–22 сентября 2023 г.: Красноярск: Красноярский государственный педагогический университет им. В.П. Астафьева, 2023. С. 24–28.
В докладе рассматриваются взгляды академика А.И. Берга, относящиеся к ос- новным проблемам образования и к применению кибернетики и цифровых технологий в образовании. В исторической перспективе видно, что в области цифровой трансфор- мации образования мы (и наша страна, и весь мир) двигаемся по траектории, обри- сованной А.И. Бергом. При этом сегодня мы еще далеко не полностью ...
Added: March 14, 2024
Semenov A., Рудченко Т. А., В кн.: Информатизация образования и методика электронного обучения: цифровые технологии в образовании: Материалы VII Международной научной конференции, Красноярск, 19–22 сентября 2023 г.: Красноярск: Красноярский государственный педагогический университет им. В.П. Астафьева, 2023. С. 881–884.
Added: March 14, 2024
Uvarov A., В кн.: Информатизация образования и методика электронного обучения: цифровые технологии в образовании: Материалы VII Международной научной конференции, Красноярск, 19–22 сентября 2023 г.: Красноярск: Красноярский государственный педагогический университет им. В.П. Астафьева, 2023. С. 913–918.
Added: March 14, 2024
Language:
Russian
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
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Springer, Cham, 2026.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2025.
Added: September 19, 2026
FRUCT Oy, 2026.
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 8 P. 1–26
This paper presents a novel method for pruning deep neural networks based on the concept of flow, derived from the continuous modeling of signal propagation across layers. We derive flow functions for fully connected, convolutional, and self-attention architectures, and we propose a new iterative pruning algorithm, Iterative Flow-Aware Pruning (IFAP), that leverages these measures to ...
Added: September 19, 2026
Agadzhanyan A., Отечественная и зарубежная педагогика 2026 Т. 1 № 4 (117) С. 96–110
In the context of the implementation of the Federal State Educational Standard and the challenges of the digital environment, which weaken the influence of traditional institutions of socialization, purposeful education and achievement of personal results of students becomes a priority task of the school. A class with a unique educational potential can be considered as ...
Added: September 18, 2026
Myachin A. L., Procedia Computer Science 2026 Vol. 287 P. 193–200
We extend the static pattern analysis method to the temporal dimension by introducing a six-type trajectory taxonomy that classifies objects according to the frequency and structure of pattern switches over an observation window of T > 8 periods. For each object, a reference pattern is designated as the most frequently occupied group over the observation ...
Added: September 18, 2026
Ravedovskaya U., Didenko A., Journal of Teaching English for Specific and Academic Purposes 2025 Vol. 13 No. 3 P. 529–538
Emergence of generative artificial intelligence (GenAI) is revolutionizing teaching and evaluation in higher education. Early adopters have already demonstrated how large language model (LLM) conversational agents can serve as on-demand tutors, yet empirical evidence regarding their effectiveness in facilitating conceptual learning in non-computational domains is scant. Based on constructivist learning theory, this paper presents a ...
Added: September 18, 2026
Шиповалова Л. В., Социология власти 2026 Vol. 38 No. 1 P. 224–243
This article examines the integration of large language model based chatbots into educational practices in Russian higher education through the lens of critical theory and curriculum ideologies. Drawing on Ivan Illich’s concept of convivial tools and Jürgen Habermas’s distinction between instrumental and communicative rationality, the authors conceptualize large language models as technologies capable of operating ...
Added: September 18, 2026
Obukhov K., Раведовская У. Ю., Высшее образование в России 2026 Т. 35 № 1 С. 77–95
The article focuses on the strategies that Russian university lecturers use to maintain their professional status amid the active implementation of artificial intelligence technologies, specifically large language models. The objective is to identify and reconstruct the key strategies of symbolic defense and repositioning of the higher education teaching profession in the context of Russian higher ...
Added: September 18, 2026
Громов Р. С., Нестеров Р.А., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4 P. 23–44
This paper explores the performance criteria of the newest algorithm for solving the problem of finding shortest paths on a graph from a given vertex – Bounded Multi-Source Shortest Path Algorithm
(BM-SSP). The algorithm was published in 2025 and, as its creators claim, it is asymptotically superior to Dijkstra’s deterministic algorithm. However, in the publication devoted ...
Added: September 18, 2026
Blinova E., Sherbakova O., Learning and Instruction 2026 Vol. 106 Article 102432
Abstract
Background
Knowledge abstractness is one of the factors affecting learning outcomes, particularly in learning from multimedia texts. However, most previous studies on multimedia learning have focused on manipulating pictorial abstractness, while the role of text topic abstractness remains largely unexplored.
Aims
1. Examine how topic abstractness influences multimedia learning outcomes when pictorial abstractness remains constant. 2. Investigate how ...
Added: September 16, 2026
Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
Обзор международных практик развития робототехники и искусственного интеллекта и оценка возможностей их применения в условиях России, в первую очередь для Дальнего Востока и Арктической зоны РФ ...
Added: September 16, 2026
Melman A., Evsyutin O., Computer Science Review 2027 Vol. 63 (A) Article 101066
One of the effective means of protecting digital images is invisible watermarking. Different scenarios have different requirements for watermark resistance to post-processing. Robust watermarking schemes are resistant to a wide range of modifications. Fragile watermarking schemes are designed for integrity control and are destroyed by even minor modifications of images. Semi-fragile watermarking schemes combine features ...
Added: September 15, 2026
Gaete Sepulveda M. A., Dymarskaya O. Y., Sosa Gómez G., Mexico: Centros Culturales de México, 2026.
Universities are called to respond to social fragility, the environmental crisis, technological transformation, artificial
intelligence, and the loss of trust in institutions. This book argues that higher education cannot be limited to teaching,
research, or technology transfer. Its deepest purpose is to contribute to the holistic human development of individuals,
communities, and territories.
By articulating the third mission, service-learning, and the Fifth ...
Added: September 15, 2026
Водопьян Г. М., Dvoretskaya I., Uvarov A., М.: Общество с ограниченной ответственностью "Образование и Информатика", 2023.
Digital renewal of education (introduction of digital technologies) is discussed as a process of increasing changes in schools (educational environment, learning process, management of educational organization and system) that started half a century ago and is unfolding in an evolving digital environment. Depending on local and regional conditions, educational organizations move along the path of ...
Added: February 16, 2024
Komissarova E., В кн.: Материалы всероссийской интернет-конференции по цифровым образовательным технологиям для педагогических работников и управленческих кадров «ЦИФРОВОЙ ТРИАТЛОН 2021».: М.: Академия Минпросвещения России, 2021. С. 62–65.
В данном докладе идет речь об опыте использования интерактивного ресурса Quizlet для развития лексических навыков обучающихся 11 класса на занятиях по немецкому языку в школе с углубленным изучением немецкого языка. Рассматриваются возможности использования интерактивного ресурса Quizlet на занятиях по иностранному языку и в рамках самостоятельной работы обучающихся. Автор приходит к выводу, что интерактивный ресурс Quizlet, ...
Added: January 31, 2024
М.: Академия Минпросвещения России, 2021.
В материалах сборника Всероссийской интернет-конференции по цифровым образовательным технологиям для педагогических работников и управленческих кадров «Цифровой триатлон 2021» рассмотрены проблемы, касающиеся инновационных подходов к построению образовательного процесса, использования цифровых платформ и методик преподавания, профессионального роста учителя, организации работы с обучающимися с использованием инструментов и сервисов сети Интернет, организации проектной деятельности и учебного цифрового пространства учителя, ...
Added: January 31, 2024