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The classification module intended to be used in the didactic assessment

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dc.contributor.author BURLACU, Natalia
dc.contributor.author COZLOVSCHI, Alexandru
dc.date.accessioned 2024-12-07T16:41:40Z
dc.date.available 2024-12-07T16:41:40Z
dc.date.issued 2024
dc.identifier.citation BURLACU, Natalia and Alexandru COZLOVSCHI. The classification module intended to be used in the didactic assessment. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, p. 122. ISBN 978-9975-64-480-8 (PDF). en_US
dc.identifier.isbn 978-9975-64-480-8
dc.identifier.uri http://repository.utm.md/handle/5014/28776
dc.description Only Abstract en_US
dc.description.abstract The present paper describes one of the modular components of an eventual and complex system that will allow the generation of items to be evaluated in didactic evaluation tests with a pronounced adaptive character. The respective component will be one with the potential to integrate into various Learning Management System (LMS) platforms, such as Moodle , and can be applied by a wide spectrum of users: from teachers and pupils/students/learners enrolled in various forms and/or levels of education to administrators of LSM platforms and LMS-type systems component developers. From the technical perspective, this component is a classifier that turns out to be a fragment of a program product, which interacts with the database (DB), but especially with the LMS system bank question, created by the course developer, in order to satisfy the perspective functions of the software product in the specific aspects regarding the teacher and learner needs [8] during the didactic assessment. The classifier, developed and described in the current material, works based on the labels , and the degree of use of Artificial Intelligence (AI) And Machine Learning (ML) at the implementation level includes it in the category of supervised learning program products. The given work is included in fields such as applied informatics, software engineering, and artificial intelligence and aligns with the national and international trends regarding digitization of the educational system. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024;
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject modular classifier en_US
dc.subject labels classifier en_US
dc.subject supervised learning en_US
dc.subject educational program en_US
dc.title The classification module intended to be used in the didactic assessment en_US
dc.type Article en_US


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  • 2024
    The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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