KNOWLEDGE ASSESSMENT AND RESULTS VISUALIZATION BASED ON TEXT MINING IN E-LEARNING PLATFORMS.

Safarov, Laziz

Муҳандислик ва Иқтисодиёт · 2026-yil

Annotatsiya

This article explores the application of Text Mining technologies for assessing learners’ knowledge levels andanalyzing educational activities in E-learning platforms. The main objective of the study is to develop methods for theautomatic evaluation of students’ knowledge and the visualization of learning outcomes based on the analysis of textualdata generated during the learning process. The research methodology includes text preprocessing, keyword extractionusing the TF-IDF algorithm, sentiment analysis, and K-Means clustering techniques. The findings demonstrate that TextMining technologies are effective tools for identifying students’ knowledge levels and learning engagement. Furthermore,visualization techniques, including charts and graphs, significantly improve the monitoring of educational processes, theanalysis of learning outcomes, and the efficiency of decision-making.

Maqola ma’lumotlari
MualliflarSafarov, Laziz
JurnalМуҳандислик ва Иқтисодиёт
Nashr sanasi2026-06-01
Jild4
Son6
TilIngliz

Kalit so‘zlar

E-learning, Text Mining, knowledge assessment, TF-IDF, sentiment analysis, clustering, data visualization, learning analytics, artificial intelligence.

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