A document-oriented LMS with integrated text classification for gender equality assessment

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CEUR-W

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In response to the dynamic changes and crises affecting the education sector, this paper introduces a document-oriented Learning Management System (LMS) designed to integrate multiple independent components of E-Learning. By reviewing recent studies, trends, and competing standards in the LMS field, we propose an ontology for the document-oriented system and develop a framework for representing Learning and Practice Objects. This framework is tailored to support a multi-medium learning environment, reflecting the evolving technological needs in education. Approaches to integrate automatic text classification methods into a learning management system (LMS) to improve their functionality and effectiveness are proposed, particularly for gender equality assessment.

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automatic text classification, e-learning, gender inequality, learning analytics, LMS, system design

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A document-oriented LMS with integrated text classification for gender equality assessment [Electronic resource] / Olga Cherednichenko, Glib Tereshchenko, Iryna Kyrychenko [et al.] // CLW-2025: Computational Linguistics Workshop at 9th International Conference on Computational Linguistics and Intelligent Systems (CoLInS-2025), May 15-16, 2025, Lviv, Ukraine / ed.: Nina Khairova, Victoria Vysotska, Natalia Grabar [et al.] . – Electronic text data. – Lviv, 2025. – P. 122-138. – URL: https://ceur-ws.org/Vol-3976/paper10.pdf, free (accessed 07.01.2026).

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