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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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TECHNOLOGY-SUPPORTED ENGLISH LANGUAGE LEARNING IN HIGHER EDUCATION: ADVANTAGES, LIMITATIONS, AND LEARNING RESULTS

Authors: Sayliyeva Jasminabonu Ilyosjon qizi;

TECHNOLOGY-SUPPORTED ENGLISH LANGUAGE LEARNING IN HIGHER EDUCATION: ADVANTAGES, LIMITATIONS, AND LEARNING RESULTS

Abstract

In recent years, the use of digital technologies in higher education has greatly influenced the way English is taught and learned. Universities now make extensive use of language learning applications, virtual classrooms, learning management systems, and other interactive platforms to enhance students’ academic language skills. This study examines the advantages, difficulties, and learning outcomes associated with technology-supported English language learning in university settings. The research adopts a mixed-methods approach that includes student surveys and interviews with English instructors. The results show that digital tools increase student engagement, encourage independent learning, and improve the development of speaking, listening, reading, and writing abilities. At the same time, several challenges were identified, including differences in digital literacy, unequal access to technological resources, and the necessity for professional development among teachers. The findings suggest that technology is most beneficial when it is carefully integrated into teaching strategies rather than used simply as an additional resource without clear educational objectives.

  • BIP!
    Impact byBIP!
    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).
    0
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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