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Conference object . 2025
License: CC BY
Data sources: ZENODO
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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USING HYBRID LEARNING TO BOOST THE QUALITY OF EDUCATION

Authors: Khamrozoda Zarinai Mirzo-Ulug'bek.;

USING HYBRID LEARNING TO BOOST THE QUALITY OF EDUCATION

Abstract

In the context of rapid digitalization and changing educational environments, hybrid learning has become one of the most effective approaches to improving the quality of higher education. This article examines the implementation features, advantages, and limitations of hybrid learning in modern higher education institutions. It also analyzes how blended models can contribute to the development of students’ independent learning, motivation, and adaptability in the conditions of global challenges.

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Keywords

hybrid learning, blended education, higher education, digital technologies, teaching effectiveness, student motivation

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green