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Analisa Konten Visual dalam Kategori Gender Nunun, Nachipah; Wirza, Yanti; Noorman, Rd. Safrina
Jurnal Penelitian Pendidikan Vol 20, No 2 (2020)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpp.v20i2.22400

Abstract

Penelitian ini bertujuan menginvestigasi dan meneliti representasi gender di buku teks Sekolah Menengah Indonesia berjudul When English Rings a Bell untuk kelas VII. Metode penelitian ini menggunakan analisa konten visual, ilustrasi bergambar dianalisa menggunakan kategori gender. Riset ini menggunakan tiga kategori gender yaitu kegiatan waktu luang atau permainan, sifat kepribadian dan tempat atau locus untuk menginvestigasi representasi gender. Hasil penelitian menunjukkan bahwa di setiap kategori gender, representasi perempuan selalu lebih rendah dibandingkan representasi lelaki. Buku teks juga tidak responsif terhadap gender karena cenderung tidak seimbang dalam ilustrasinya.
ENHANCING EFL STUDENTS’ RECOUNT TEXTS BY EMPLOYING METACOGNITIVE LEARNING STRATEGIES (MLS) Dhillon, Bobby Pramjith Singh; Musthafa, Bachrudin; Wirza, Yanti
English Review: Journal of English Education Vol. 12 No. 1 (2024)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/erjee.v12i1.9206

Abstract

Although writing in English is challenging for non-native students, metacognitive learning strategies could be the solution. Therefore, this paper aims to examine and describe if students' metacognitive learning strategies and writing abilities are positively and significantly correlated during the second semester at Nommensen University in Pematangiantar, Indonesia. The text was analyzed using a correlation study with 25 writing II students. In this study, two different kinds of variables were used. The first is the independent variable—the students' metacognitive learning strategies—and the second is the dependent variable—their writing skills. Pearson's simple product-moment correlation was employed to evaluate the collected data. A questionnaire modified from the theory of metacognitive learning strategies was used to assess the students’ metacognitive learning strategies. A written test using recount texts assesses students' English writing ability. The researchers conducted interviews to see how students who used metacognitive learning strategies responded to writing and interviewed English teachers to confirm the findings. The result showed a significant correlation between the students' metacognitive learning strategies and the students' writing skills (r = 0.590 > r table = 0.505). Therefore, the teacher and students need to consider metacognitive learning strategies in the learning process to develop their writing skills.
ChatGPT as a Speaking Partner: Investigating Its Impact on Students’ Speaking Anxiety Noe, Skolastika; Yusuf, Fazri Nur; Wirza, Yanti
JL3T (Journal of Linguistics, Literature and Language Teaching) Vol 11 No 2 (2025): JL3T Vol. XI No. 2 2025
Publisher : UPT. Pengembangan Bahasa IAIN Zawiyah Cot Kala Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jl3t.v11i2.12646

Abstract

This study examines how the use of ChatGPT, an AI-driven chatbot, influences learners’ speaking anxiety and their spoken performance in an English as a Foreign Language setting. The analysis is guided by a framework of language-learning anxiety that highlights three key components of speaking anxiety: communication apprehension, fear of negative evaluation, and test anxiety. A qualitative approach was employed, involving 30 university students from Eastern Indonesia. Data were collected through a 25-item Likert-scale questionnaire adapted from FLCAS, six open-ended questions, and semi-structured interviews with 10 selected participants. The findings reveal that ChatGPT plays a crucial role in reducing communication apprehension, fear of negative evaluation, and test anxiety, allowing students to practice speaking English in a low-pressure environment. Notably, findings showed that after using ChatGPT in speaking practice, 60% of students experienced moderate speaking anxiety, while 26.67% exhibited high levels and 13.33% reported low anxiety. Additionally, frequent AI-assisted interaction enhances fluency, confidence, and structured speech formulation, improving oral proficiency. However, limitations were identified in pronunciation feedback, conversational naturalness, and expressive interaction, suggesting that AI should serve as a supplementary tool rather than a standalone language learning solution. Given these findings, future AI improvements should focus on voice recognition for pronunciation accuracy, adaptive conversational dynamics, and multimodal interaction strategies. This study underscores ChatGPT’s potential to effectively reduce speaking anxiety while advocating for integrated AI-human interaction approaches in language education to support comprehensive and immersive speaking practice.