Claim Missing Document
Check
Articles

Found 5 Documents
Search

DEIXIS ANALYSIS IN JOB APPLICATION LETTERS AND ITS APPLICATION IN TEACHING WRITING Zulia Chasanah
Jurnal Bahtera: Jurnal Pendidikan, Bahasa, Sastra, dan Budaya Vol 9, No 2 (2022): Jurnal Bahtera
Publisher : Pendidikan Bahasa dan Sastra Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/btr.v9i2.8179

Abstract

 Abstract. This research is concerned with deixis used in sentences of the job application letters. Based on the problem statements, the aims of this study are to explain kinds of deixis in job application letters and to describe the application of deixis in job application letters in teaching writing. The data of this study were taken from the sentences containing deixis in job application letter. The instrument of the research is the researcher. This study uses descriptive qualitative design because the researcher describes deixis found in the job application letter. The result shows that there are 405 (79.88%) person deixis, 1 (0.20%) place deixis, 4 (0.79%) time deixis, 43 (8.48%) discourse deixis, and 54 (10.65%) social deixis. The result of the application can be used for teaching writing at senior high school.Keywords: Deixis, Job Application Letter, Teaching Writing
STUDENTS’ PERCEPTIONS OF WAYGROUND AI IN GAME-BASED LEARNING FOR ENHANCING ENGLISH VOCABULARY AT MAN PURWOREJO Lyra Sandra Mulia; Juita Triana; Zulia Chasanah
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 7 No. 2 (2026): Vol7 No.2 September 2026
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v7i2.6060

Abstract

The game-based learning tools have been widely used in educational settings. Limited research has examined students’ perceptions of AI-powered game-based learning platforms. This study aimed to investigate students’ perceptions of the use of Wayground AI in game-based learning for enhancing English vocabulary at MAN Purworejo, an Islamic senior high school in Indonesia. A descriptive quantitative survey design was employed involving 25 students selected through purposive sampling, after which data were collected using a 20-item questionnaire based on the Technology Acceptance Model (TAM), covering perceived ease of use, perceived usefulness, attitude toward use, behavioral intention, and learning engagement. The data were analyzed using descriptive statistics, particularly mean scores. The findings revealed generally neutral-to-positive perceptions toward the use of Wayground AI. Among the five constructs, only attitude toward use showed a positive perception (M = 3.51), indicating that students generally enjoyed learning with the platform. Meanwhile, perceived ease of use (M = 3.39), perceived usefulness (M = 3.18), behavioral intention (M = 2.90), and learning engagement (M = 3.29) remained within the neutral category. Item-level analysis showed relatively higher ratings for enjoyment and interest in learning activities, whereas vocabulary retention and intentions for regular future use received lower scores. These findings suggest that Wayground AI can contribute to positive learning experiences and classroom participation. However, its perceived effectiveness for long-term vocabulary retention and sustained independent use remains limited. The study highlights the importance of integrating AI-supported game-based learning with consistent instructional support and follow-up activities to maximize its educational potential.
LEXICAL AND CONTEXTUAL MEANINGS OF ALIENATION IN RADIOHEAD’S OK COMPUTER SONGS Sulistio Tri Widodo; Ismawati Ike Nugraeni; Zulia Chasanah
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 7 No. 2 (2026): Vol7 No.2 September 2026
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v7i2.6041

Abstract

This study investigates how lexical and contextual meanings construct the theme of alienation in three songs from Radiohead's album OK Computer, namely ok, No Surprises, and Karma Police. The primary objective is to examine the interaction between lexical and contextual meanings in constructing alienation, an area that remains underexplored in semantic studies of song lyrics. A descriptive qualitative approach is employed, analyzing nine representative linguistic units, three from each song, selected from the lyrics. The analysis is guided by Kroeger's framework of lexical meaning and Feist's framework of contextual significance. The findings reveal that alienation is encoded through semantic domains such as emptiness, injury, waste, authority, technology, and identity. At the lexical level, expressions like 'emptiest,' 'landfill,' and 'karma' carry stable denotative meanings. However, within the album's thematic context, these meanings transform into symbolic representations of psychological detachment, emotional exhaustion, alienated labor, social surveillance, technological dehumanization, and identity fragmentation. The study concludes that alienation emerges implicitly through the interaction between lexical choice and discourse context, demonstrating that meaning in song lyrics is dynamic and context-dependent. These findings highlight the importance of integrating lexical and contextual perspectives in semantic analysis of contemporary musical texts.
Enhancing Vocational Students' Speaking Performance Through Instagram Reels: Evidence of Significant Fluency Improvement Pasya Oktaverina; Zulia Chasanah; Sri Widodo
Edunesia : Jurnal Ilmiah Pendidikan Vol. 7 No. 3 (2026)
Publisher : Research, Training and Philanthropy Institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v7i3.1750

Abstract

Speaking proficiency remains a major challenge for vocational EFL learners, particularly in fluency, pronunciation, and confidence. This study examined the effectiveness of Instagram Reels in improving students’ speaking performance. Methods: A quasi-experimental non-equivalent control group design was applied to two intact eleventh-grade classes at SMK Negeri 8 Purworejo. The experimental group learned speaking through Instagram Reels, while the control group received conventional instruction. Data were collected through pre-test and post-test speaking assessments using an analytic rubric covering pronunciation, grammar, vocabulary, fluency, and comprehensibility, then analyzed with descriptive statistics, paired-sample t-tests, independent-sample t-tests, and N-gain. Results: The experimental group achieved greater improvement than the control group, with a higher post-test mean score (85.30 and 72.10), a significant difference (p < 0.05), and a high N-gain score of 0.70. Conclusion: Instagram Reels is an effective digital medium for improving vocational students’ speaking performance, especially fluency, and supports its integration into English instruction in meaningful short-video practice contexts.
Comparative Analysis of Learning Outcomes Between Conventional and Google Classroom-Assisted Learning at Vocational High School Rievaldy Handhianto; Zulia Chasanah; Abdul Ngafif
Jurnal Studi Guru dan Pembelajaran Vol. 9 No. 1 (2026): Januari - April 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jsgp.9.1.2026.8277

Abstract

The urgency in this study lies in how student learning outcomes are influenced by the use of the digital application Google Classroom during the learning process. This study aimed to compare students’ learning outcomes between conventional learning and Google Classroom–assisted learning in a Vocational High School context. A quantitative approach employing a quasi-experimental non-equivalent control group design was used. The participants consisted of 45 tenth-grade students at SMK YPT Purworejo, Central Java, Indonesia, selected through purposive sampling. One class served as the experimental group receiving instruction through Google Classroom, while the other class was taught using conventional learning methods. Students’ learning outcomes were measured using a post-test achievement test. The data were analyzed using descriptive statistics, assumption testing, the Mann–Whitney U test, and effect size analysis. The results indicated that students in the Google Classroom–assisted learning group achieved higher mean scores than those in the conventional learning group. The Mann–Whitney U test revealed a marginally significant difference between the two groups (p = .050). Furthermore, the effect size analysis indicated a moderate effect (r = 0.29), suggesting meaningful practical value. Overall, the findings indicate that Google Classroom–assisted learning tends to support better learning outcomes than conventional learning in Vocational High Schools, although its effectiveness depends largely on pedagogical integration rather than technology use alone.