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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.
Volkova N., Кочетков Н. В., Чикер В. А., Психологическая наука и образование 2026 Т. 31 № 3 С. 35–49
Context and relevance. Artificial intelligence is a technology with the potential to fundamentally transform all spheres of human life. Its rapid integration into everyday reality intensifies research dedicated to the psychology of using neural networks. However, the development of empirical research in the Russian scientific field is limited by the lack of validated psychodiagnostic tools that ...
Added: July 5, 2026
Хилинская О. С., Leykina A., Журнал клинического и прикладного психоанализа 2026 Т. VII № 2 С. 104–121
Questions of the interrelation of manifestations played out on the psychic stage and at the level of
the body have been the object of research in both psychiatry and psychoanalytic psychopathology
for a long time, since the time of Hippocrates. With the advent of psychoanalysis, a revolution took
place in the
fi
eld of psychosomatics, Freud brought something that would ...
Added: July 4, 2026
Velikaya E. V., Baranova T., Джахангирова В. С. et al., Национальный книжный центр, 2026.
Учебное пособие предназначено для обучения академическим навыкам чтения, говорения и письма на основе статей из научно-популярных журналов по различным профилям: образование, программирование, лексика гейм-дизайна, продуктовые исследования, создание цифровых продуктов для различных сфер жизни, UX-исследования и юзабилити-тестирование, маркетинг игр и цифровых продуктов. Упражнения, разработанные для каждого урока, ориентированы на развитие профессионального вокабуляра, написание обобщений (summary) и ...
Added: July 3, 2026
Imbault C., Slioussar N., Ivanenko A. et al., The Mental Lexicon 2026 P. 1–23
The study examines emotional responses to words representing a wide range of psychological valence and focuses on gender-related differences. We aimed to find out whether men and women differ in their emotional responses, and whether they can take the perspective of another gender. We used the slider paradigm (Warriner et al., 2017): participants saw a humanoid ...
Added: July 2, 2026
Oluwafemi K. M., NORDIC JOURNAL OF COMPARATIVE AND INTERNATIONAL EDUCATION 2026 Vol. 10 No. 2
This study examines post-pandemic changes in professional development, teaching practices, and well-being in Denmark, Finland, Norway, and Sweden using data from the Teaching and Learning International Survey (TALIS) 2018 and 2024. Drawing on the Job Demands-Resources (JD-R) framework and informed by governance typologies as a comparative contextual lens, the study uses a repeated cross-sectional design ...
Added: July 1, 2026
Shilmanskaya A., Leontiev D., Культурно-историческая психология 2026 Т. 22 № 2 С. 86–97
Context and relevance. The issue of personality changes has become a significant trend in personality research over the past decade. Traditional approaches to assessing the effectiveness of psychotherapeutic work are based on comparing measurement results before and after intervention. Objective. To test the visual “Trajectory” method for assessing the perceived trajectory of individual development and to verify its ...
Added: July 1, 2026
Васильчук М. С., Шаньков Ф. М., Chumakova M. et al., Psychology. Journal of the Higher School of Economics 2021 Vol. 18 No. 2 P. 247–258
The 2019 Coronavirus disease outbreak leads to negative psychological outcomes not only for healthcare workers and patients, but also for the general public. S. Hobfoll’s Conservation of Resources theory is one of the most applicable models for conceptualizing and evaluating natural and social catastrophes and their impact. A web-based screening has been conducted at the ...
Added: June 30, 2026
Luzhnova K., Психологические исследования: электронный научный журнал 2025 Vol. 19 No. 107 P. 1–18
This systematic review aims to synthesize and analyze current research on the characteristics of category learning in children with autism spectrum disorder (ASD) within the framework of the COVIS model, which posits competition between explicit (verbal) and implicit (nonverbal) categorization systems. The review includes 40 empirical studies published between 1981 and 2025, selected according to ...
Added: June 30, 2026
Gromova A., Научный вестник Крыма (Россия, ISSN: 2499-9911) 2021 № 2 (31) С. 1–13
The Iranian ‘Teleschool’ that was launched in 2020 on the base of standard schoolbooks published by the Ministry of Education, reflects the common vision of the glorious history of Ancient Iran and promotes the national cultural heritage. The present article aims to describe a comprehensive selection of new learning materials such as original texts and ...
Added: June 30, 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