Ecosystem of the University as a Subject of Educational Analytics by O. D. Shipunova, E. G. Pozdeeva, L. I. Evseeva

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Computational thinking in the context of higher education: Analytical review by E. K. Khenner

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Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport by Yuanxin Gui

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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…Abstract Modern educational systems increasingly demand sophisticated analytical tools to assess and enhance student performance through personalized learning approaches. Yet, educational analytics models often lack comprehensive integration of behavioural, cognitive, and emotional insights, limiting their predictive accuracy and real-world applicability. …”
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UNESCO's Vision to Promote The dimensions of Global Citizenship in Education "Analytical Study in Light of The 2030 Agenda for Sustainable Development" by Abdelfatah Zahra

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A Bayesian State-Space Approach to Dynamic Hierarchical Logistic Regression for Evolving Student Risk in Educational Analytics by Moeketsi Mosia

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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

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A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

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Application of educational data mining in subject learning at university by Irina A. Kotiurova

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Enfoques pedagógicos de la Educación Física brasileña: criterios analíticos y modelos de clasificación (Pedagogical approaches in Brazilian Physical Education: analytical criteria and classification models) (Abordagens pedagógicas da Educação Física brasileira: critérios analíticos e modelos de classificação) by Luiz Fernando Badaró, Marcos Roberto Brasil, Neidiana Braga da Silva Souza, Saulo Fernandes Ferrari, Vinicius Machado de Oliveira, Marcos Roberto dos Santos, Juliano de Souza

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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

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Application of a digital footprint of educational intelligent technologies by L. Sh. Bagdasaryan, A. H. Ardeev, T. A. Kulikova, N. A. Poddubnaya

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Comparative Analysis of Skill Shortages, Skill Mismatches, and the Threats of Migration in Labor Markets: A Sectoral Approach in North Macedonia, Türkiye, Ethiopia, and Ukraine by Violeta Cvetkoska, Predrag Trpeski, Igor Ivanovski, Filip Peovski, Meryem Hamsi İmrol, Berk Babadoğan, Halil Ecer, Durmuş Ziya Görür, Umut Selvi, Adula Bekele Hunde, Fekede Tuli Gemeda, Yosef Beco Dubi, Segii Melnyk, Andrii Lytvynchuk, Hanna Tereshchenko

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Analytical skills of computer security students in the structure of analytical thinking readiness by Svetlana G. Menshenina

“…The aim of professional education - analytical thinking readiness - could be achieved if analytical skills based on analytical operations (analysis, synthesis, classification, etc.) are gradually and purposefully developed in course of educational process. …”
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DIGITAL TOOLS FOR MATCHING QUALIFICATIONS TO THE LEVELS OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Volodymyr Kovtunets, Sergiy Londar, Serhii Melnyk, Oles Kovtunets

“…Both Excel and API are accessible for users at the website of the Institute of Educational Analytics in Kyiv. The novelty of the article is that for the first time in national and international practice, it proposes an alternative/supplementary algorithmic method for determining the level of certain full and/or partial professional qualifications by the National Qualifications Framework, thus creating prerequisites for further automation of the activities of professional standards developers. …”
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Сoronary paradox by V. V. Chestukhin, F. A. Blyakhman

“…This work is a scientific and educational analytical review intended for practicing cardiologists. …”
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EDUCATION FUNDING AS A DETERMINANT OF THE EDUCATIONAL SYSTEM'S EFFECTIVENESS AND SOCIETAL PERFORMANCE by Sergiy Londar, Oleksandr Bosenko, Lidia Londar, Marcus Pietsch

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Predicting Freshman Recruitment Rates: A Comparative Analysis of Metropolitan and Non-Metropolitan Universities in South Korea by Hyung Jong Na, Ha-Young Shin, Yongsun Cho

“…The results underscore the methodological advantage of AI-driven modeling in educational analytics and offer strategic insights for policymakers: strengthening academic research capacity, especially in non-metropolitan universities, may serve as a vital policy lever for improving regional recruitment balance and sustaining higher education competitiveness.…”
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IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS by Firdaus Amruzain Satiranandi Wibowo, Heri Retnawati, Muhammad Lintang Damar Sakti, Asma Khoirunnisa, Angella Ananta Batubara, Miftah Okta Berlian, Zulfa Safina Ibrahim, Jailani Jailani, Sumaryanto Sumaryanto, Lantip Diat Prasojo

“…This study underscores the utility of advanced machine learning techniques in educational analytics, paving the way for data-driven decision-making to support student achievement.…”
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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

“…It also underlines how important choosing a good model is in educational analytics in order to increase the accuracy of the predictions. …”
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