PEDAGOGICAL FOUNDATIONS FOR IMPROVING ASSESSMENT SYSTEMS IN EDUCATION THROUGH INFORMATION TECHNOLOGIES

dc.contributor.authorSamijonov Azizbek Ismoiljon ugli
dc.date.accessioned2025-12-28T12:12:13Z
dc.date.issued2025-10-06
dc.description.abstractThis article explores the pedagogical foundations of improving assessment systems in higher education through the integration of information technologies. Assessment is a critical component of the educational process, determining the quality of teaching and learning outcomes. Traditional assessment methods, while valuable, are often insufficient in meeting the demands of the digital age. Therefore, the implementation of digital assessment systems—including online testing platforms, e-portfolios, remote monitoring, artificial intelligence-based evaluation tools, and adaptive learning technologies—is becoming an essential pedagogical requirement. Drawing on international practices and local experiences, this article analyzes the advantages of digital assessment systems, their impact on students’ cognitive and creative abilities, and proposes methodological recommendations for the effective improvement of assessment in higher education.
dc.formatapplication/pdf
dc.identifier.urihttps://usajournals.org/index.php/6/article/view/1080
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/5110
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/6/article/view/1080/1164
dc.rightsCopyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Linguistics, Education, and Pedagogy; Vol. 1 No. 6 (2025); 470-473
dc.source3067-7874
dc.subjectDigital assessment, higher education, information technologies, e-learning, monitoring, artificial intelligence, adaptive learning.
dc.titlePEDAGOGICAL FOUNDATIONS FOR IMPROVING ASSESSMENT SYSTEMS IN EDUCATION THROUGH INFORMATION TECHNOLOGIES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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