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Journal : Journal of English Language and Education

A Learning Need Analysis in English Speaking Program for Students of Pondok Tahfidz Al-Qur’an Karman, Karman; Andas, Netty Huzniati; Ibrahim, Nur Aisah; Suhrah, Suhrah
Journal of English Language and Education Vol 9, No 1 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v9i1.474

Abstract

This research was aimed to answer the question of research namely What were the learning needs of the students in the English Speaking Program at Pondok Tahfidz Al-Qur’an Al-Hudzaifiyyah? To answer the research question, a survey research was employed. The instruments of the research were questionnaires and interview guidelines. The data were explained in the description form. The participants of the research were 20 students at Pondok Tahfidz Al-Qur’an Al-Hudzaifiyyah Kolaka as the respondents for the questionnaire, and five students were chosen as the respondents for the interview. The result showed that they needed to speak English in religious context, but the problem was that their speaking skills were still weak. Secondly, learning need of the students in learning English were materials that provided vocabularies related to Islamic studies, conversation exercises regarding religious activities, and English grammar which is suitable with their speaking level.
Improving Grammar Accuracy in Contextual Writing Tasks Using AI Feedback Systems: A Study of EFL Learners at Science University of Al Mawaddah Warrahmah Kolaka Ningzi, Vill Janna; Aulia, Andi Nurul; Suhrah, Suhrah; Rahmi, Rahmi; Idris, Muthahharah
Journal of English Language and Education Vol 11, No 1 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i1.2006

Abstract

This study examined the effectiveness of artificial intelligence (AI) feedback systems in improving grammatical accuracy in contextual writing tasks among English as a Foreign Language (EFL) learners. Thirty undergraduate students from twelve different study programs at Universitas Sains Islam Al Mawaddah Warrahmah Kolaka participated in this research as part of a general English course. Using a mixed-methods quasi-experimental design with pretest-posttest control group framework, this study compared the effectiveness of AI-driven feedback (via Grammarly) versus conventional teacher feedback in improving grammatical accuracy within authentic writing contexts. Data were collected through written assignments, error analysis, and student perception interviews. Results demostrated that students receiving AI feedback demonstrated statistically significant improvements in grammatical accuracy (M = 82.5, SD = 6.3) compared to the control group (M = 74.3, SD = 7.1), with p 0.001. Notably, AI systems excelled at detecting and correcting morphosyntactic errors, subject-verb agreement violations, and determiner misuse. Qualitative findings revealed that students perceived AI feedback as immediate, non-judgmental, and conducive to self-correction and engagement. However, students also expressed concerns about over-reliance on automated tools. This research suggested that a hybrid approach integrating AI feedback with traditional instructor guidance offers optimal outcomes for developing grammatical competence in contextual writing. Pedagogical implications include leveraging AI tools as formative assessment instruments alongside explicit grammar instruction and peer review mechanisms.Keywords: AI feedback systems, grammatical accuracy, contextual writing, EFL learners, and automated writing evaluation.