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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.
Martín-Luengo B., Zinchenko O., Dolgoarshinnaia A., Human Brain Mapping 2026 Vol. 47 No. 11 P. 1–11
Being able to remember the origin of a particular memory is for times even more important than the memory itself. Yet, although memory for the information and memory for the source are intrinsically connected, the particular neural underpinnings for the source‐memory monitoring remains unclear. We run an fMRI meta‐analysis to help to clarify the brain ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Antonova N., Федулова Е. В., Психологические исследования 2026 Т 19 No. 107 2026 Т. том 19 № № 107 С. 1–14
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: October 4, 2026
Nikiforova K., Kulikova S., Platonova T. et al., Journal of Modern Foreign Psychology 2026 Vol. 15 No. 3 P. 98–113
The increasing prevalence of technology in daily life has led to a rising demand for IT specialists. In response, educational curricula have been adapted to incorporate coding lessons as early as primary school. However, the cognitive processes underlying computational thinking (CT) — the ability to apply a systematic problem-solving approach akin to computer logic — ...
Added: October 4, 2026
Monahhova E., Gorodnicheva Y., Morozova A. et al., Psychology. Journal of the Higher School of Economics 2026 Vol. 23 No. 3 P. 512–527
The rapid proliferation of misinformation in digital environments poses a serious threat to public health, political institutions, and public discourse. Behavioral research has accumulated substantial evidence on why people believe and share false information, yet individual studies address cognitive biases, social factors, or emotional processes largely in isolation. Additionally, the influential integrative frameworks that do ...
Added: October 3, 2026
Polarization of opinions in the group: a modeling algorithm considering the dynamics of social bonds
Chebotarev V., Andreyuk D., Elizarova Anastasiya et al., Procedia Computer Science 2022 Vol. 213 No. C P. 596–601
The dynamics of opinion in a group are of interest for a number of practical purposes. In particular, consensus helps and polarization of opinions hinders cohesive teamwork. Existing approaches for modeling opinion dynamics mostly do not take into account the dynamism of social relations in a group. This paper proposes an algorithm and a program ...
Added: October 2, 2026
Ragimova A., Imanaeva M., Nieto Doval C. M. et al., Frontiers in Human Neuroscience 2026 Vol. 20 P. 1–15
Background: Motor resonance reflects the activation of the motor system during the observation of others’ actions and is considered a physiological marker of the human mirror neuron system (MNS). This study investigated whether the excitatory and inhibitory balance in the primary motor cortex, driven by glutamatergic and GABAergic mechanisms, is linked to the strength of ...
Added: October 2, 2026
Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89
The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...
Added: October 2, 2026
Nisskaya A., Беляевская Е. С., Современная зарубежная психология 2026 Т. 3 № 15 С. 89–97
Context. The preschool period is a critical stage for the development of prosocial behavior. Children begin to understand the feelings of others, and the foundations of empathy and mutual assistance are formed. Situation-specific expressions of care can develop into more stable forms when children are embedded in a system of social relationships. However, the specific characteristics ...
Added: October 2, 2026
Pavlova A., Тихомирова Т. Н., Исматуллина В. et al., Вестник Санкт-Петербургского университета. Психология 2025 Т. 15 № 4 С. 610–632
Представлены результаты анализа психометрических свойств русскоязычной версии Шкалы личностной тревожности (STAI-T) на масштабной выборке студентов вузов Российской Федерации. Личностная тревожность отражает предрасположенность к чрезмерному проявлению тревоги в отношении широкого круга событий, восприятие их как потенциально опасных, что приводит к трудностям адаптационного характера, в том числе на этапе перехода в систему высшего образования. Уровень проявления тревожности ...
Added: October 2, 2026
Lubashevsky I., Lubashevskiy V., Physica D: Nonlinear Phenomena 2026 Vol. 498 Article 135441
We develop a novel cloud-function formalism describing the dynamical relationship between sensory-information processing in large-scale brain networks (supraliminal processing) and the content of the mental representation of an observed object. The formalism combines elements of neural field theory for large-scale neural activity with the spatial characteristics of perceived objects and their embedding in the environment ...
Added: October 2, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The next collection “Cases of Russian Universities” contains cases developed in the master’s program “Management in Higher Education,” which has been offered since 2011 by the Institute of Education at the National Research University Higher School of Economics. The program is intended for university staff aiming for a managerial career or seeking to develop their ...
Added: October 1, 2026
Мичурина А. А., Гуманитарные науки и образование 2026 Т. 17 № 3 С. 82–87
China pays special attention to the application of artificial intelligence (AI) technologies in various spheres of life, including education. The integration of AI into the field of education carries many opportunities. At the same time, this process is associated with a large number of risks, which raises the issue of the need for legal regulation ...
Added: October 1, 2026
Kotov A. A., Матушкина В., Котова Т. Н., Современная зарубежная психология 2026 Т. 15 № 2 С. 111–119
Контекст и актуальность. В обзоре рассматривается эффект выученного невнимания (трудности в обраще-нии внимания на информацию, которая ранее была нерелевантной) на примере категориального науче-ния. Цель теоретического обзора: сформулировать основные этапы изучения данного эффекта, обозначитьключевые работы, объясняющие факторы, влияющие на данный эффект (фактор задачи и семантическойнагруженности). Результаты. Приводятся доказательства того, что эффект рассматривается в настоящеевремя в разных ...
Added: October 1, 2026
Kotov A. A., Зайцева Е. С., Новые психологические исследования 2026 № 3 С. 35–54
Эффект категориальной различимости выражается во влиянии окружения целевого объекта при его запоминании: эффективность запоминания целевого объекта выше в условии его окружения объектами из той же суперординатной категории, к которой он относится, чем объектами из другой суперординатной категории.
Целью исследования было изучение эффекта категориальной различимости в условиях различной загрузки рабочей памяти – вербальной и визуальной.
Категориальная репрезентация играет ...
Added: October 1, 2026
Латыпов А. Ф., Психология и право 2026 Т. 16(3) № 3 С. 259–272
Abstract Context and relevance. The simultaneous presence of three to five age cohorts within a single organizational space makes intergenerational tension in contemporary organizations increasingly systemic, raising the need for a theoretical understanding of the nature and mechanisms of intergenerational conflicts. Objective. The article aims to provide a theoretical analysis of the phenomenon of intergenerational ...
Added: September 30, 2026
Dvoinin A., Развитие личности 2025 № Спецвыпуск С. 17–20
The article outlines A.M. Dvoinin’s personal reminiscences of his teacher, the prominent psychologist Valeria Sergeevna Mukhina ...
Added: September 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