?
Model Criticism of Bayesian Networks in Educational Assessment: A Systematic Review
Practical Assessment, Research and Evaluation. 2021. Vol. 26. Article 22.
Uglanova I.
There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the systematization of BN model criticism methods in the field of educational assessment. The review revealed the diversity of model criticism methods and the shortages of specific research. The results demonstrate the state-of-the-art and help to navigate practitioners and researchers.
М.: МАКС Пресс, 2026.
The book consists of materials submitted by Russian and Foreign scientists to the Organizing
Committee of the All-Russian Round Table “Logic and Paradoxes of Modern Education Manage
ment”. The round table was held at the Faculty of Sociology of Lomonosov Moscow State University
on June 08, 2026. The texts are published in author's edition. Organizing Committee`s point of ...
Added: September 2, 2026
Mehrotra S. K., Sharma A., Mehrotra V. S., Economic & Political Weekly 2025 Vol. 60 No. 51
Recognition of Prior Learning, a key component of the Skill India Mission under the National Policy for Skill Development and Entrepreneurship, 2015, seeks to formalise the skills of India’s vast informal workforce, which accounts for over 91% of the total employment. While RPL can enhance employability, economic mobility, and workforce productivity, its implementation remains constrained ...
Added: September 1, 2026
Asia and Africa today 2026 Vol. 6 P. 80–86
This theoretical article examines the persistent problem of the “leaky pipeline” for women in
Nigerian higher education, where increased representation in male-dominated STEM fields is undermined
by enduring stereotypes and socio-cultural barriers. By employing a critical theoretical analysis and
interpretive synthesis, it aims to demonstrate how the concept of reflexive modernization explains why
stereotype threats ...
Added: August 31, 2026
Ермоленко Г. А., Кожевников С. Б., М.: Эксмо, 2026.
Socio‑humanitarian knowledge helps to master the social norms and values of Russian civilization. Each module of social studies is linked to a specific sphere of human social life, to activities aimed at fulfilling a person’s spiritual needs and social interests. Recognizing the social nature of one’s own needs is an important step towards understanding oneself, ...
Added: August 31, 2026
Panova A., Ostrovnaya M., Demokratizatsiya: The Journal of Post-Soviet Democratization 2026 Vol. 34 No. 2 P. 199–226
Local authorities can crucially affect the economic performance of public organizations. Using data on the Moscow region, we analyze the unique case of a huge, socio-economically homogeneous region with differing political environments. We examine how the political characteristics of local authorities influence state schools’ decisions on whether to outsource non-core activities, in this case food ...
Added: August 27, 2026
Medushevsky A. N., Liberal.ru 2026
The Liberal Mission Foundation continues to introduce readers to new concepts of democracy and relevant publications. This discussion focuses on the challenges facing democracy in the era of globalization, as addressed in two recent books: *The Backsliders: Why Leaders Undermine Their Own Democracies* by S.C. Stokes (2025) and *Critical Theories and the Postsocialist Challenge: Race, ...
Added: August 26, 2026
Medushevsky A. N., Liberal.ru 2026
Today, more than ever before, the contribution of new technologies shapes the conditions of humanity's existence as a biological species, prompting a debate about its prospects for survival. This process of transformation—which spans every sphere of social and moral regulation, from family relations and child-rearing to the very meaning of life—is dividing public opinion between ...
Added: August 26, 2026
Medushevsky A. N., Вопросы теоретической экономики 2026 № 2 С. 146–164
It is generally accepted that the basis of social and legal stability in any society is a consensus on vir tue — the fundamental values of proper behavior, ways of maintaining and reproducing them. And, conversely, the destruction of this consensus is a sign of the loss of stability and divergence of positions of social ...
Added: August 26, 2026
Medushevsky A. N., Сравнительное конституционное обозрение 2025 Т. 34 № 4 С. 135–166
The communist morality created in the USSR to form a “new man” was based on a code of moral values that replaced traditional religious ideas with the ideological postulates of a one-party dictator ship. The crisis and collapse of this ideology in post-Soviet Russia led to the emergence of an “ethi cal vacuum” — moral ...
Added: August 26, 2026
Voronina Y., Kuryan M., Педагогика и психология образования 2026 № 2 С. 84–98
Teaching argumentation in foreign language classes is a promising approach, as it enhances students' critical thinking and improves the quality of their academic work. Despite the rather widespread use of explicit methods for developing argumentation skills, the implicit approach remains underexplored. This paper proposes a system for organizing implicit argumentation instruction in English based on ...
Added: August 24, 2026
Bogolepova S., Вестник Томского государственного университета 2025 № 518 С. 150–159
The rapid development of AI technologies over recent years has profoundly impacted various spheres of human activity, including education. This article aims to explore the current use and potential of generative artificial intelligence models (GMs) in the professional activities of foreign language teachers. The goal of the study is to identify the professional tasks that ...
Added: October 14, 2025
Rishko Y., Boboshko D., Malkin A. et al., AIP Conference Proceedings 2025 No. 3268 (1) Article 060010
This study presents an analysis of the academic performance of university students within the period from 2018 to 2023, which was conducted to identify the impact of the COVID-19 pandemic on the academic results of undergraduate students. The initial data for the analysis were more than 600 thousand records of student grades accumulated in the ...
Added: May 26, 2025
Yuri A. Zelenkov, Elizaveta V. Lashkevich, Business Informatics 2024 Vol. 18 No. 3 P. 24–40
A counterfactual explanation is the generation for a particular sample of a set of instances that belong
to the opposite class but are as close as possible in the feature space to the factual being explained.
Existing algorithms that solve this problem are usually based on complicated models that require a large
amount of training data and significant ...
Added: October 13, 2024
Retnawati H., Kardanova E., Sumaryanto ,. et al., INTERNATIONAL JOURNAL OF ROBOTICS AND CONTROL SYSTEMS 2024 Vol. 4 No. 4 P. 1656–1693
Previous studies have demonstrated that technology helps achieve learning outcomes. However, many studies focus on just one aspect of technology’s role in educational assessment practices, leaving a gap in studies that examine how various aspects affect the use of technology in assessments. Hence, through a systematic work, we analyzed the extent and manner in which technology is integrated into educational assessments and how education level, domain of ...
Added: October 10, 2024
Tarasova K., Gracheva D., Вопросы образования 2023 № 3 С. 221–230
This book continues a series of books on the methodology of educational testing and assessment written by leading psychometricians and researchers in the field of educational assessment. Computational psychometrics is defined as the combination of computer science methods and psychometric measurement principles for analysing data obtained as a result of testing using technologically advanced test ...
Added: December 12, 2023
I. L. Uglanova, Gel’ver E., S. V. Tarasov et al., Scientific and Technical Information Processing 2022 Vol. 49 No. 5 P. 371–378
This paper examines whether it is possible to assess creativity by analyzing images using neural networks. The psychometric data analysis used for latent class analysis makes it possible to obtain labels for training neural networks without the participation of experts. Highly accurate network prediction for identifying image creativity makes it possible to speak about the ...
Added: March 10, 2023
Krukov V. A., Milyaev D. V., Dushenin D. I. et al., Studies on Russian Economic Development 2022 Vol. 33 No. 3 P. 257–266
Abstract— The article presents a mathematical toolkit for forecasting the development of innovative technologies that can be used for cost-effective development of hard-to-recover hydrocarbon reserves. The proposed approach is a symbiosis of agent-based models, Bayesian networks, learning curves, statistical analysis, and numerical simulation modeling methods. These techniques have not been used as a set in ...
Added: October 29, 2022
Zelenkov Y., Business Informatics 2022 Vol. 16 No. 1 P. 22–41
This work analyses the firm failure process stages using the Bayesian network as a modelling tool because it allows us to identify causal relationships in the firm profile. We use publicly available data on French, Italian and Russian firms containing five samples corresponding to periods from one to five years before observation. Our results confirm ...
Added: April 18, 2022
Uglanova I., Гельвер Е. С., Tarasov S. et al., Искусственный интеллект и принятие решений 2021 № 1 С. 86–97
The present study investigated the possibilities of assessing student creativity based on neural networks approaches for image analysis. The use of psychometric data analysis in the methodology of Latent Class Analysis (LCA) allowed us to obtain data labels to train the neural network without experts’ involvement. The high accuracy in network predictions for identifying image ...
Added: June 3, 2021
Vetrov D., Izmailov P., Maddox W. et al., , in: Proceedings of the 35th Uncertainty in Artificial Intelligence Conference (UAI-2019).: [б.и.], 2019. P. 1–11.
Bayesian inference was once a gold standard for learning with neural networks, providing accurate full predictive distributions and well calibrated uncertainty. However, scaling Bayesian inference techniques to deep neural networks is challenging due to the high dimensionality of the parameter space. In this paper, we construct low-dimensional subspaces of parameter space, such as the first ...
Added: January 14, 2020
Springer, 2014.
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
Тулупьев А. Л., Sirotkin A., Вестник Санкт-Петербургского университета. Серия 1. Математика. Механика. Астрономия 2012 № 3 С. 63–72
The processing of probabilistically uncertain knowledge patterns in intellectual decision support systems falls into three kinds of probabilistic-logic inference, such as reconciliation, a priori and a posteriori inference. The paper presents formulae that allow for putting the process down in terms of matrix-vector language. ...
Added: March 25, 2014
Smirnov S. N., Финансовый бизнес 2011 № 3 С. 9–16
We suggest an econometric model of probability of default based on regular financial disclosures of Russian banks. We also suggest a quantization of the continuous explanatory variables that allows to account for non-linear effects and to achieve superior accuracy compared with regression tree and Bayesian network models estimated over the same sample. The econometric estimates ...
Added: November 30, 2012