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Pendidikan Bahasa dan Sastra
Published by Lembaga Penelitian dan Pendidikan Mandala
ISSN : 2964349X     EISSN : 30319919     DOI : 10.58258/pendibas.v1i2.4325
Core Subject : Education,
Education Languange, Linguistic, Communication & Media
Jurnal Pendidikan Bahasa dan Sastra terbit dua kali setiap tahun pada bulan Febuari dan Agustus yang memuat artikel ilmiah tentang pendidikan bahasa dan sastra dari hasil penelitian dan kajian literatur. Artikel ditulis dalam bahasa Indonesia dan bahasa asing. Penerbit jurnal ini adalah Lembaga Penelitian dan Pendidikan (LPP) Mandala.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 52 Documents
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The Effect of Content and Language Integrated Learning on Students' Reading Skills Ipan Rinaldi; Fathurrahman Imran; Muhammad Muhlisin
Pendidikan Bahasa dan Sastra Vol. 5 No. 2 (2026): Jurnal Pendidikan Bahasa dan Sastra
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jtqbmj37

Abstract

Reading is one of the essential language skills that enables students to acquire information and develop English proficiency. However, many junior high school students still experience difficulties in comprehending English texts because of limited vocabulary, low motivation, and teacher-centered instructional practices. This study aimed to investigate the effect of Content and Language Integrated Learning (CLIL) on students' reading skills at SMPN 3 Masbagik. The study employed a quantitative approach using a quasi-experimental design with a non-equivalent control group design. The population consisted of 78 seventh-grade students, while 52 students were selected as the sample through purposive sampling, comprising 26 students in the experimental class and 26 students in the control class. Data were collected through reading comprehension tests administered as pre-tests and post-tests and were analyzed using descriptive statistics and an Independent Samples t-test with SPSS version 25. The findings revealed that students taught through CLIL demonstrated significantly better reading achievement than those taught through conventional instruction. The mean score increased from 41.54 in the pre-test to 68.19 in the post-test, and the Independent Samples t-test showed a significance value of 0.000 (p < 0.05), indicating that CLIL had a significant positive effect on students' reading skills. The findings suggest that integrating meaningful content with language instruction promotes active learning, enhances reading comprehension, and creates more contextualized learning experiences for junior high school students
EFL Students’ Perceptions on AI-Generated Feedback in Academic Writing Saudah saudah; Taufik Suadiyatno; Imansyah Imansyah
Pendidikan Bahasa dan Sastra Vol. 5 No. 2 (2026): Jurnal Pendidikan Bahasa dan Sastra
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/85cr7r49

Abstract

The increasing use of Artificial Intelligence (AI) writing tools has changed the way English as a Foreign Language (EFL) students seek feedback on their academic writing, particularly during the demanding process of preparing a research proposal or thesis. This study aims to explore how final-semester EFL students perceive, evaluate, and respond to AI-generated feedback while writing their proposal or thesis. Using a descriptive qualitative design, this study employed a Likert-scale screening questionnaire distributed to 24 respondents, followed by semi-structured interviews with six key informants selected through purposive sampling. The findings of the questionnaire indicate that most participants perceived AI-generated feedback favorably for surface-level writing issues, with 87.5% agreeing that it helped them identify possible errors before consulting their supervisor, while only 62.5% reported cross-checking content-level AI suggestions before applying them. From a qualitative perspective, thematic analysis organized these perceptions into four components: cognitive (understanding of how AI feedback is produced and how it differs from supervisor feedback), affective (confidence balanced with doubt about accuracy), conative (direct application of surface-level suggestions versus cross-checking of content-level suggestions), and external/internal cues (trust shaped by feedback consistency and by students’ own digital literacy). When examined through Rosenberg and Hovland’s Tripartite Attitude Model, Robbins and Judge’s theory of perception, and the concept of AI Literacy, the findings show that students who engaged more critically and selectively with AI-generated feedback demonstrated higher AI literacy, while those who applied suggestions uncritically demonstrated lower AI literacy regardless of the amount of AI feedback they received. This study offers practical recommendations for students and lecturers on the wise and critical use of AI-generated feedback in the proposal and thesis writing process.

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