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Contact Name
M Saleh Yahya Himni
Contact Email
yhimni191@gmail.com
Phone
+6281999110771
Journal Mail Official
yhimni191@gmail.com
Editorial Address
Jln. Pendidikan No. 1 Kabar Selatan, RT. 02/RW. 38 Sakra, Lombok Timur, Nusa Tenggara Barat 83671
Location
Kab. lombok timur,
Nusa tenggara barat
INDONESIA
Asshika: Journal of English Language Teaching and Learning
Published by Saniya Institute
ISSN : -     EISSN : 3025809X     DOI : https://doi.org/10.65190/asshika
Core Subject : Education, Social,
ASSHIKA: Journal of English Language Teaching and Learning, a peer-reviewed journal This journal is a platform for researchers, scholars, and practitioners in the field of English education to publish and disseminate their original research and studies. The journal aims to promote knowledge-building and problem-solving in the field and to make scientific works in relevant research areas accessible to the public. Since 2023, the Saniya Institute has been publishing the journal online. The primary scope and focus of the journal include English Language Teaching and Learning Strategy (ELTLS), Teaching English in the four skills of listening, speaking, reading, and writing, Technology-Enhanced ELT, Language Testing and Assessment, English Applied Linguistics, and Second Language Acquisition (SLA). Contributions in the form of original research, reviews, literature reviews, conference proceedings, case reports, short communications, theses, letters to the editor, and editorials are encouraged.
Arjuna Subject : Umum - Umum
Articles 61 Documents
The Effect of AI-Supported English Literary Instruction on Learning Archaic Vocabulary among EFL Students Abdulghani Abouzied; DafaAllah Ibrahim; Khuloud Alouzi; Mowafg Abrahem; Bushra Alfallah; Mohieddin Masoud
Asshika: Journal of English Language Teaching and Learning Vol. 2 No. 2 (2025): April
Publisher : Saniya Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65190/asshika.v2i2.471

Abstract

Learning archaic vocabulary remains a serious challenge for students studying English literature in an English-as-a-Foreign-Language (EFL) context. This study examines the effect of combining English literary texts with artificial intelligence (AI) tools on the learning of archaic vocabulary among undergraduate students at the Faculty of Languages and Translation, University of Zawia, Libya. The study used a quasi-experimental mixed-methods design with 60 EFL students, divided into an experimental group (n = 30) and a control group (n = 30). Both groups completed a pre-test and a post-test to measure their knowledge of archaic vocabulary in literary texts. The experimental group received AI-supported literary instruction, while the control group received conventional vocabulary instruction. The results showed that both groups improved, but the experimental group achieved much higher gains, rising from a pre-test mean of 9.83 to 16.27, while the control group increased from 9.71 to 12.08. An independent-samples t-test showed a significant difference between the two groups, t(58) = 7.65, p < .001. The questionnaire results also showed very positive student perceptions toward the AI-supported approach. The findings indicate that integrating AI tools into literature-based instruction can improve learning of archaic vocabulary and increase student engagement in EFL higher education.