Features of the application of semantic and sentiment analysis methods in the process of evaluating the effectiveness of digital educational technologies in Russian universities

Digital educational technologies (DET) have confidently taken the position of a structural element of the modern higher education system. Despite the success of digitalization of universities, there remain problems associated with high costs and technical aspects of the introduction of user-friendly and high-quality digital platforms. This actualizes the problem of optimizing university budgets for digitalization. The purpose of the article is to study the tools of complex semantic analysis and sentiment analysis in Russian universities as a tool for evaluating the effectiveness of DET. The objectives of the study were: a review of the literature on the stated problem; development of a research methodology; conducting a comprehensive semantic analysis and sentiment analysis in Russian universities; evaluating the effectiveness of DET; developing recommendations to improve the effectiveness of DET. Research methods: a hybrid quantitative and qualitative approach was used; including systematic reviews, the use of vocabulary and natural language processing (NLP) for sentiment analysis and semantics. The results of the study show that although 88% of universities have learning management systems (LMS), only 45% effectively use them for educational purposes. Only 44% of universities have licenses for collaboration software (Zoom), and 13% do not have the necessary digital infrastructure (high-speed Internet). These gaps indicate significant obstacles to the effective use of DET. The results of sentiment analysis show that students generally have a positive attitude towards digital learning platforms, and sentiment analysis methods based on deep learning demonstrate high effectiveness of DET. The authors recommend improving the digital infrastructure, raising the level of training of teaching staff and students, as well as developing targeted strategies for better integration of DET.

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Publication Details

Journal
Theoretical economics
Published
2024-09-06
DOI
https://doi.org/10.52957/2221-3260-2024-7-39-58
Primary Topic
Innovations in Education and Learning Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Features of the application of semantic and sentiment analysis methods in the process of evaluating the effectiveness of digital educational technologies in Russian universities

Г. В. Астратова, Nataliya Simchenko, Chigorizim Onvusiribe
Theoretical economics
Innovations in Education and Learning Technologies
article

Features of the application of semantic and sentiment analysis methods in the process of evaluating the effectiveness of digital educational technologies in Russian universities

Г. В. Астратова, Nataliya Simchenko, Chigorizim Onvusiribe
article en

Abstract

Digital educational technologies (DET) have confidently taken the position of a structural element of the modern higher education system. Despite the success of digitalization of universities, there remain problems associated with high costs and technical aspects of the introduction of user-friendly and high-quality digital platforms. This actualizes the problem of optimizing university budgets for digitalization. The purpose of the article is to study the tools of complex semantic analysis and sentiment analysis in Russian universities as a tool for evaluating the effectiveness of DET. The objectives of the study were: a review of the literature on the stated problem; development of a research methodology; conducting a comprehensive semantic analysis and sentiment analysis in Russian universities; evaluating the effectiveness of DET; developing recommendations to improve the effectiveness of DET. Research methods: a hybrid quantitative and qualitative approach was used; including systematic reviews, the use of vocabulary and natural language processing (NLP) for sentiment analysis and semantics. The results of the study show that although 88% of universities have learning management systems (LMS), only 45% effectively use them for educational purposes. Only 44% of universities have licenses for collaboration software (Zoom), and 13% do not have the necessary digital infrastructure (high-speed Internet). These gaps indicate significant obstacles to the effective use of DET. The results of sentiment analysis show that students generally have a positive attitude towards digital learning platforms, and sentiment analysis methods based on deep learning demonstrate high effectiveness of DET. The authors recommend improving the digital infrastructure, raising the level of training of teaching staff and students, as well as developing targeted strategies for better integration of DET.

Theoretical economicsVol. 0(7)
Ural Federal University (RU), St Petersburg University (RU)
Russian Science Foundation
Openalex Percentile: Top 77%
Innovations in Education and Learning Technologies
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