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Kammer Sipayung
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Jalan Keramat Indah, No 8 at Citra Menteng Recidence, Medan-North Sumatra-Indonesia
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Journal of English Language Teaching, Literatures, Applied Linguistics
Published by Merwinspy Publisher
ISSN : -     EISSN : 30258561     DOI : https://doi.org/10.69820/jeltlal.v1i1
Core Subject : Education,
Education Languange, Linguistic, Communication & Media
Focus Journal of English Language Teaching, Litterature and Applied Linguistics focuses on research related to English Language Pedagogy, TEFL English Teaching, English for Specific Purposes (ESP), ELT Materials Development and Evaluation, English Language Testing and Assessment, Linguistics, Literatture, Translation, Critical Discourse Analysis Research method approaches include: Quantitative, Qualitative, and Mix Method. JELTLAL has the following objectives: Provide a means of publication of empirical research and the field of teaching and applied linguistics. Disseminating the results of new scientific research in these field that can be applied as an alternative solution in the field of applied linguistics as well as teaching. Accelerate the transfer of knowledge from research to practice. Therefore, this journal contains empirical articles and critical reviews both using quantitative approaches (mainstream), qualitative approaches (alternative), and other methods. Scope Topics that can be published in this journal are topics related to Teaching language, Litterature and Applied Linguistics, such as: English Language Pedagogy, TEFL English Teaching English for Specific Purposes (ESP) ELT Materials Development and Evaluation English Language Testing and Assessment Linguistics Literatture Translation Critical Discourse Analysis
Arjuna Subject : Ilmu Sosial - Linguistik dan Bahasa
Articles 32 Documents
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Linguistic Branding: The Role of Word Formation in TikTok Branding Batrisya Amalia Putri; Gustary, Devian Try; Aam Alamsyah
Journal of English Language Teaching, Literatures, Applied Linguistic (JELTLAL) Vol. 3 No. 2 (2025): December
Publisher : Merwinspy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69820/jeltlal.v3i2.435

Abstract

This study investigates the intersection of word formation and personal branding on social media, focusing on the content of a Gen Z TikTok creator named Jazzy. As TikTok serves as a dynamic platform for linguistic innovation, this research explores how a creator's language choices contribute to their digital persona. Employing a qualitative descriptive method with a morphological approach, the study analyzes five of Jazzy's most popular self-development videos. In this study, the researcher acts as the main instrument, supported by observation and note-taking techniques. The data were collected from five of Jazzy’s most-viewed TikTok videos through qualitative observation. The linguistic data were then analyzed descriptively by identifying word formation processes based on McCarthy’s (2002) theory and interpreting their relation to Rampersad’s (2008) personal branding framework. The findings reveal that compounding and derivation are the most frequently used word formation types, strategically utilized to build her brand. These linguistic choices directly support key personal branding elements, particularly specialization and authenticity. In conclusion, the study finds that linguistic creativity is not merely a reflection of online culture but a powerful, strategic tool for identity construction and audience engagement. This contributes to a broader understanding of how language and communication evolve within the context of digital media.
Effectiveness of Deep Learning–Based Reading Platforms on EFL Reading Comprehension: A Quasi-Experimental Study Anggraini, Yanti
Journal of English Language Teaching, Literatures, Applied Linguistic (JELTLAL) Vol. 3 No. 2 (2025): December
Publisher : Merwinspy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69820/jeltlal.v3i2.441

Abstract

This study aimed to examine the effectiveness of a deep learning–based reading platform in improving EFL students’ reading comprehension achievement. A quantitative approach was employed using a quasi-experimental design, specifically the non-equivalent control group design. The sample consisted of two classes of university students (N = 60), divided into an experimental group and a control group. The experimental group used a deep learning–based reading platform equipped with adaptive reading features, difficult vocabulary analysis, AI-generated questions, and automated feedback, while the control group received conventional teaching. A 30-item reading comprehension test, validated and tested for reliability, served as the research instrument. Data were analyzed using paired sample t-tests, independent sample t-tests, and effect size calculation. The results revealed a significant improvement in the experimental group’s reading comprehension scores (p < 0.05). Furthermore, a significant difference was found between experimental and control groups in the post-test results, with an effect size of 1.30, indicating a large effect. These findings demonstrated that the deep learning–based reading platform was more effective than traditional instructional methods in enhancing EFL students’ reading comprehension.  

Page 4 of 4 | Total Record : 32

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