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A Technology forAnalyzing theTransformationProcess of UniversityStudents’ LearningOutcomes Based onBloom’s Taxonomy Zykova Tatyana V.Vainshtein Yuliya V.Noskov Mikhail V.2026 год

A Technology for Analyzing the Transformation Process of University Students’ Learning Outcomes Based on Bloom’s Taxonomy
статья из журнала

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Библиографическое описание: A Technology for Analyzing the Transformation Process of University Students’ Learning Outcomes Based on Bloom’s Taxonomy : научное издание / Tatyana V. Zykova, Yuliya V. Vainshtein, Mikhail V. Noskov. - Текст : непосредственный // Cybernetics and Information Technologies. - 2026. - Т. 26, № 1. - P. 18-36. - ISSN 1311-9702. - ISSN 1314-4081, DOI 10.2478/cait-2026-0002.
Аннотация: <jats:title>Abstract</jats:title> <jats:p>This paper presents a technology for analyzing the transformation of student learning outcomes (competencies) at different stages of mastering an educational program. The goal is a comprehensive approach for analyzing and predicting achievements by integrating data from curricula and the Learning Management System (LMS) Moodle digital footprints. Methods include graph analysis to model competency structures, machine learning (probabilistic matrix factorization for data imputation), Bloom’s taxonomy-based classification, and multidimensional data visualization. A general research framework is presented, describing the process of processing data from various sources, including the LMS Moodle and the “Undergraduate Plans” information system, followed by data visualization, including integrated data, in the BI system Yandex DataLens. The result is a novel approach for analyzing competency development and a software module for creating an automated decision support system in the educational process, based on the analysis of learning data.</jats:p>
Год издания: 2026
Авторы: Zykova Tatyana V. , Vainshtein Yuliya V. , Noskov Mikhail V.
Издательство: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
Источник: Cybernetics and Information Technologies
Выпуск: Т. 26, № 1
Номера страниц: 18-36
Держатель оригинала документа: School of Space and Information Technology, Siberian Federal University, Krasnoyarsk, Russia
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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