Topic Mining based on Fine-Tuningsentence-BERT and LDA

One of the many consequences of the COVID-19 pandemic was the accelerated transformation of education, which necessitated the adoption of innovative methodologies to effectively integrate research and teaching. [1]. This paper presents a complex hybrid and blended learning model that fosters international academic collaboration between university students and professors. The methodology was developed and implemented in a large-scale research study, culminating in the publication of Fights Against Segregation and Dropout – in 17 Countries, a comprehensive volume co-authored by 37 researchers, including 33 university students. The study explores how blended, and hybrid methods facilitate knowledge production while simultaneously serving as an educational tool, enabling students to actively engage in research. By merging teaching with real-world research experience, the methodology offers a novel approach to developing critical academic and professional skills. The collaborative process involved digital platforms, synchronous and asynchronous communication, and interdisciplinary teamwork across multiple countries. Findings suggest that integrating research-based learning (RBL) within a hybrid and blended framework enhances student engagement, fosters global academic networks, and contributes to the development of practical solutions for pressing educational challenges, such as dropout and segregation. The model presents a scalable and adaptable approach that universities can implement to strengthen researchoriented education in diverse academic fields. This article will provide insights into the innovative methodology, key results, and best practices derived from the international research collaboration. It will also address challenges and recommendations for institutions aiming to integrate blended and hybrid models into their research and teaching strategies.

Authors

Publication Details

Journal
International Journal on Cybernetics & Informatics
Published
2025-03-28
DOI
https://doi.org/10.5121/ijci.2025.140210
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
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article

Topic Mining based on Fine-Tuningsentence-BERT and LDA

Vera Alpar
International Journal on Cybernetics & Informatics
Technology and Data Analysis
article

Topic Mining based on Fine-Tuningsentence-BERT and LDA

Vera Alpar
article en

Abstract

One of the many consequences of the COVID-19 pandemic was the accelerated transformation of education, which necessitated the adoption of innovative methodologies to effectively integrate research and teaching. [1]. This paper presents a complex hybrid and blended learning model that fosters international academic collaboration between university students and professors. The methodology was developed and implemented in a large-scale research study, culminating in the publication of Fights Against Segregation and Dropout – in 17 Countries, a comprehensive volume co-authored by 37 researchers, including 33 university students. The study explores how blended, and hybrid methods facilitate knowledge production while simultaneously serving as an educational tool, enabling students to actively engage in research. By merging teaching with real-world research experience, the methodology offers a novel approach to developing critical academic and professional skills. The collaborative process involved digital platforms, synchronous and asynchronous communication, and interdisciplinary teamwork across multiple countries. Findings suggest that integrating research-based learning (RBL) within a hybrid and blended framework enhances student engagement, fosters global academic networks, and contributes to the development of practical solutions for pressing educational challenges, such as dropout and segregation. The model presents a scalable and adaptable approach that universities can implement to strengthen researchoriented education in diverse academic fields. This article will provide insights into the innovative methodology, key results, and best practices derived from the international research collaboration. It will also address challenges and recommendations for institutions aiming to integrate blended and hybrid models into their research and teaching strategies.

International Journal on Cybernetics & InformaticsVol. 14(2)
Openalex Percentile: Top 92%
Technology and Data Analysis
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