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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.
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
Antonova N., Федулова Е. В., Психологические исследования: электронный научный журнал 2026 Т. 19 № 107 С.
The aim of this article is to analyze the theoretical and methodological foundations of cognitive-behavioral coaching and to identify prospects for its further development and research. The article examines the historical prerequisites for the emergence of cognitive-behavioral coaching as a helping practice. The distinctions between cognitive-behavioral coaching (CBC) and cognitive-behavioral therapy (CBT) are analyzed. The ...
Added: June 29, 2026
Tarasova K., Talov D., Ivanova A., Высшее образование в России 2026 Т. 35 № 6 С. 152–173
The article examines the relationship between the use of generative artificial intelligence in learning and several AI-related characteristics of students at Russian universities. The study is based on the assumption that the frequency of AI use should not be treated as a direct indicator of AI literacy or competence in working with generative systems. Four ...
Added: June 29, 2026
Ivanova A., Manina V., Новые психологические исследования 2026 № 1 С. 100–122
The article is devoted to the development and validation of the “Passion for the Profession” scale for higher education students. The relevance of the study is determined by the importance of fostering a positive attitude toward one’s future profession during the stage of professional development, as this influences academic achievement, career trajectories, and students’ psychological ...
Added: June 29, 2026
Sautkina E., Bonnefoy B., Osin E., Journal of Environmental Psychology 2026 Vol. 113 No. August 2026 Article 103124
Several theories suggest that individual differences in the notion of the self are associated with relationship to nature and pro-environmental behavior. However, the diversity of existing theories makes it difficult to test this hypothesis in a comprehensive way. We combined a wide range of relevant constructs to explore whether self-centeredness (operationalized as a combination of ...
Added: June 29, 2026
Katkalo V., Shumkova N., Ужакина Ю. Б. et al., Издательский дом НИУ ВШЭ, 2026.
Настоящая книга является результатом четвертой волны исследования популяции российских корпоративных университетов, проводимого с 2022 г. высшей школой бизнеса НИУ ВШЭ. В это издание включены анализ даных о бизнес-моделях и портфелях программ этих корпоративных университетов по состоянию на 2025 г. и первый опыт сравнительного исследования отраслевых особенностей корпоративных университетов в ряде ключевых секторов экономики России. Также ...
Added: June 29, 2026
Antipkina I., Kavalchuk I., Ludlow L., Quality and Quantity 2026 P. 1–24
In this study, we (1) test whether a single vignette item can be used as a stimulus for several questions referring to different vignette aspects; (2) explore the development of vignette items so that they could be comprehended holistically. The Rasch-Guttman Scenario Scale (RGSS) methodology was used to develop a questionnaire on self-regulated learning (SRL). ...
Added: June 26, 2026
Chebotareva E., Гончарова М. Э., Дубинина Т. С., М.: Российский университет дружбы народов им. Патриса Лумумбы, 2024.
В сборнике представлены материалы Международной научно-практической конференции, посвящённой 85-летию доктора психологических наук, профессора, заслуженного работника высшей школы РФ, заслуженного профессора РУДН им. Патриса Лумумбы Александра Ивановича Крупнова, которая состоялась 26 апреля 2024 г. на кафедре психологии и педагогики филологического факультета Российского университета дружбы народов им. Патриса Лумумбы. В работе конференции приняли участие более 500 ученых ...
Added: June 26, 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