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Analysis Spoof Text Production Ability of Class XI High School Students with Problem-Based Learning (PBL) Approach Yulandari, Evi Safitri; Suryadi, Hendra
Journal of Languages and Language Teaching Vol. 10 No. 1 (2022): January
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v10i1.4277

Abstract

There are 13 types of texts in English, but English teachers rarely teach spoof texts because most teachers are more focused on descriptive text, procedure text, etc. So, students' understanding of spoof texts was very low, even most students don’t know what the spoof text is, and they are not accustomed to producing texts. The Problem Based Learning approach was chosen to make it easier for teachers to help students produce texts. Therefore, this present study aims to analyze students’ abilities in producing spoof texts by using a problem-based learning approach. This research used qualitative descriptive and selected class XI students as a sample of this research. Data collection in this study used the following instruments: observation, interviews, and questionnaires to analyze the data in descriptive qualitative form. Based on the results, this study can conclude that the level of students’ ability to produce spoof texts after applying the Problem Based Learning Approach at the post-test is a complete category. It was proved that an average score of 73.9 and the highest score of 86. The percentage test of students' completeness was 78%, i.e., 14 of 22 students are included in the complete category. In comparison, 22% are not included in the complete category, meaning that students still need improvement.
Improving Academic Writing Skills in EFL Contexts among University Students in the Fifth Semester Yulandari, Evi Safitri; Suryadi, Hendra
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19689

Abstract

Kemampuan menulis akademik merupakan keterampilan penting yang harus dikuasai mahasiswa, khususnya dalam konteks English as a Foreign Language (EFL). Penelitian ini bertujuan untuk mengidentifikasi tantangan yang dihadapi mahasiswa semester lima dalam pengembangan keterampilan menulis akademik serta strategi pengajaran yang efektif untuk meningkatkan kemampuan tersebut. Metode penelitian yang digunakan adalah studi kasus kualitatif dengan melibatkan 25 mahasiswa dan 1 dosen pengampu mata kuliah Academic Writing di Institut Pendidikan Nusantara Global. Data dikumpulkan melalui wawancara, observasi kelas, analisis dokumen tulisan mahasiswa, dan jurnal reflektif. Hasil penelitian menunjukkan bahwa mahasiswa menghadapi kesulitan dalam organisasi teks, penggunaan bahasa akademik, integrasi sumber, dan pengelolaan kecemasan menulis. Di sisi lain, strategi seperti scaffolding, umpan balik berkelanjutan, penggunaan teknologi, dan refleksi diri terbukti efektif dalam mendukung perkembangan menulis akademik mahasiswa. Studi ini menekankan pentingnya pendekatan berbasis proses dan genre dalam pengajaran menulis, serta perlunya dukungan institusional yang berkelanjutan. Dengan menciptakan lingkungan pembelajaran yang suportif dan terstruktur, dosen dapat membantu mahasiswa EFL mengatasi hambatan dalam menulis dan membangun kepercayaan diri mereka sebagai penulis akademik.
The Effectiveness of Adaptive Artificial Intelligence (AI)-Based Learning in Enhancing EFL Learners’ English Structure Mastery M. Wahyu Hadi; Suryadi, Hendra; Suparlan, Suparlan
JOLLT Journal of Languages and Language Teaching Vol. 14 No. 1 (2026): January
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v14i1.17708

Abstract

The urgency of this study stems from the growing gap in English language learning, particularly in mastering English structures such as passive voice and complex sentences, which has widened in the aftermath of the COVID-19 pandemic. EFL students often struggle to comprehend complex grammatical forms, which adversely affects their writing and speaking proficiency. Adaptive AI-based technology presents a promising solution by offering personalized, interactive, and effective learning experiences. This study aims to experimentally investigate the effectiveness of adaptive AI technology in enhancing EFL students’ understanding of English structure, specifically by comparing it to conventional teaching methods. A quasi-experimental design with a pretest-posttest control group approach was employed. The population consisted of undergraduate students majoring in English, and the sample comprised 60 students divided equally into experimental and control groups. The experimental group received instruction using adaptive AI technology, while the control group was taught using conventional methods. Data were collected through pretests, posttests, questionnaires, and interviews. Inferential statistical analysis, including MANOVA, was conducted to determine significant differences in grammar mastery between groups. The results indicated a statistically significant improvement in the experimental group's posttest scores (M = 84.70) compared to the control group (M = 74.30), particularly in mastering passive voice and complex sentences. Students also reported positive perceptions of the AI-based learning experience. This study contributes to the advancement of English language teaching and offers a scalable model for integrating adaptive AI in language education.