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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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ENHANCING CLASSROOM EFFECTIVENESS THROUGH INTERACTIVE METHODS TO INCREASE STUDENT MOTIVATION IN LANGUAGE TEACHING

Authors: Yuldashova Nargiza Abdukholiq qizi;

ENHANCING CLASSROOM EFFECTIVENESS THROUGH INTERACTIVE METHODS TO INCREASE STUDENT MOTIVATION IN LANGUAGE TEACHING

Abstract

This study explores the role of interactive methods in enhancing classroom effectiveness and increasing student motivation in language learning. The research focuses on various interactive techniques such as interactive games, digital tools, and collaborative activities that engage students and foster an active learning environment. By using these methods, language instructors can create a more dynamic and motivating learning experience that encourages greater student participation. The findings demonstrate that when interactive techniques are incorporated into language lessons, students show improved motivation, greater enthusiasm for learning, and enhanced communicative competence. This study also discusses the benefits and challenges associated with the implementation of interactive methods in language classrooms.

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    popularity
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    influence
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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