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Modeling MOOC learnflow with Petri net extensions
Modern higher education takes advantage of MOOC technology. Modeling an education process of Massive open online courses (MOOCs) as a dynamic and multi-agent process is one of the challenging tasks. In this paper, Petri net extensions are investigated in the context of the learnflow modeling. It is shown how a learnflow can be modeled with classical and Colored Petri nets. These extensions facilitate modeling distributed and multi-agent processes. However, existing Petri net extensions do not provide the ability to model an education process in the context of multi-course programs and adaptive learning. We propose Petri nets with reference data (PNRDs) for modeling e-learning in MOOCs. PNRDs allow us to represent a model of the education process in a visual, clear and not overloaded form. Moreover, PNRDs enable us to display aspects of multi-course programs and dynamic changes in the MOOC education process. We also show how PNRDs can be used to model online student collaboration in project-based learning.
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Бояров Е. Н., Абрамова С. В., Купцова О. В. et al., Педагогика. Вопросы теории и практики 2025 Т. 10 № 5 С. 588–599
The aim of this research is to theoretically substantiate the possibility of applying a neural network approach to constructing a modern educational process in higher education. The article examines the main machine learning methods used for analyzing educational data and justifies the necessity of their implementation into the educational process. Particular attention is paid to ...
Added: December 9, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Е. Zemlyanoy, R. Nesterov, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4-2 P. 47–68
The structure of a process model discovered from an event log of a multi-agent system often does not reflect the system architecture with respect to agent interactions. The existing conformance checking quality dimensions mainly evaluate the extent to which the behavior a discovered model corresponds to event sequences recorded in an event log. These behavioral ...
Added: September 21, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
Stepanov M., Slastnikov S., Климин Н. А., Программные системы: теория и приложения 2025 Т. 16 № 4 С. 3–21
Modern educational systems accumulate large volumes of data on students' digital activity across various information systems, yet the effective utilization of this data for education personalization remains an unresolved challenge. The formation of a student's digital profile allows for systematizing disparate data and using it to support pedagogical decisions.
The article presents a model for digital ...
Added: June 11, 2025
Akinina O., Chedia A., Syzdykova B. et al., International Journal of Information and Education Technology 2024 Vol. 14 No. 10 P. 1335–1343
This article is dedicated to exploring the peculiarities of developing entrepreneurial competencies among students of different age groups in the Massive Open Online Courses (MOOCs) environment. A model for teaching entrepreneurship in the MOOC environment has been developed. Additionally, the model involves the implementation of pedagogical approaches to the development of entrepreneurial competencies using digital ...
Added: December 14, 2024
A. K. Begicheva, I. A. Lomazova, R. A. Nesterov, Modeling and Analysis of Information Systems 2024 Vol. 31 No. 3 P. 294–315
Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. Currently, many companies are using this technology to optimize and improve their business processes. However, a discovered process model may be too detailed, sophisticated, and difficult for experts to understand. In ...
Added: September 14, 2024
Sutarmina R., Costley J., Gorbunova A. et al., Education and Information Technologies 2025 Vol. 30 P. 3443–3462
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive correlation between self-regulated effort and maintained situational interest within university online ...
Added: August 18, 2024
Churaev E., Andrey V. Savchenko, , in: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part I. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2024. CCIS, volume 2150Vol. 1: Part I.: Springer, 2024. P. 329–337.
This work deals with engagement detection for e-learning systems based on a student’s facial video. We propose a novel, accurate technique that adapts the neural network-based binary classifier by using a short set of videos of a concrete user. The facial features are extracted with pre-trained lightweight deep networks that can be launched on a ...
Added: August 9, 2024
Springer, 2024.
This book constitutes the refereed proceedings of the 16th International Conference on Social Computing and Social Media, SCSM 2024, held as part of the 26th HCI International Conference, HCII 2024, which took place in Washington, DC, USA, during June 29–July 4, 2024.
The total of 1271 papers and 309 posters included in the HCII 2024 proceedings ...
Added: June 3, 2024
Kutuzov A., Богданова А. В., Педагогическое образование и наука 2023 № 4 С. 125–130
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. ...
Added: February 10, 2024
Julio C. Carrasquel, Irina A. Lomazova, , in: 6th International Conference, TMPA 2021, Tomsk, Russia, November 25–27, 2021, Revised Selected Papers. Tools and Methods of Program AnalysisVol. 1559: CCIS .: Springer, 2024. P. 94–106.
Trading systems are software platforms that support the exchange of securities (e.g., company shares) between participants. In this paper, we present a method to search for deviations in trading systems by checking conformance between colored Petri nets and event logs. Colored Petri nets (CPNs) are an extension of Petri nets, a formalism for modeling of ...
Added: January 31, 2024
Lomazova I. A., Mitsyuk A. A., Rivkin A., , in: Business Process Management Workshops. BPM 2023 International Workshops, Utrecht, The Netherlands, September 11–15, 2023, Revised Selected PapersVol. 492.: Switzerland: Springer, 2024. P. 483–495.
Object-centric processes have become increasingly popular in the last years mainly due to the establishment of object-centric process mining. One of the most popular formalisms for describing lifecycles of objects and capturing relationships between them are object-centric Petri nets. An important feature of such nets is the ability to transfer an arbitrary number of same-typed ...
Added: January 17, 2024