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This Author published in this journals
All Journal Journal of Digital Learning and Distance Education Radinka Journal of Science and Systematic Literature Review Lingua : Journal of Linguistics and Language
Zubair, K. M. A. Ahamed
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Journal : Journal of Digital Learning and Distance Education

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Analyzing, Designing and Developing Arabic Conversation Material Based on Communicative Approach for Undergraduate AFL Learners Zubair, K. M. A. Ahamed
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 3 No. 2 (2024): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v3i2.236

Abstract

The landscape of Arabic language education has evolved significantly, with a growing emphasis on enhancing students' oral communication skills. This study focuses on developing supplementary conversational Arabic materials to support undergraduate students enrolled in the B.A. The Arabic program at New College, Chennai, is affiliated with the University of Madras, India. The aim is to address the gap in existing materials by adopting a communicative approach, emphasizing practical language use in everyday contexts. This research aims to produce and evaluate conversational Arabic materials that facilitate an enjoyable and effective learning experience for undergraduate Arabic language learners. Specifically, the objectives include developing thematic conversations aligned with student needs, enhancing oral proficiency through interactive exercises, and validating the suitability of the materials in a classroom setting. Following the Dick and Carey instructional design model, the development process involved several iterative stages: identifying learning objectives, conducting instructional and learner analyses, formulating content, designing interactive exercises, and evaluating the materials through expert reviews and field testing. Data collection methods included expert evaluations, student feedback, and quantitative assessments to ensure the effectiveness and appropriateness of the developed materials. The developed conversational Arabic materials were positively evaluated across multiple dimensions. Content and instructional design experts rated the materials highly for clarity, relevance, and engagement. Student feedback indicated significant improvement in oral communication skills, with a majority expressing satisfaction and increased confidence in using Arabic in everyday interactions.  
Artificial Intelligence in Arabic Language Education: Applications, Perceptions, and Pedagogical Integration Zubair, K. M. A. Ahamed
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 4 No. 11 (2026): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v4i11.701

Abstract

The rapid evolution of educational technology has positioned artificial intelligence (AI) as a transformative force in linguistics, necessitating a transition from traditional route learning to technology-driven, interactive methodologies in Arabic language education. This unified review seeks to amalgamate findings from four distinct studies to assess the influence of AI integration on pedagogical methodologies, curriculum development, and specific linguistic competencies, including speaking and summarization skills, while also examining student perceptions of AI-driven audiolingual media. Utilizing a systematic review and synthesis of four research papers, the study evaluates qualitative and quantitative data from AI tool implementations and student surveys conducted at the Department of Arabic, The New College, Chennai, India. The results reveal that AI significantly enhances engagement by providing adaptive, personalized learning experiences, specifically improving speaking proficiency and summarization accuracy through audio-lingual tools. However, critical barriers remain, including inadequate digital infrastructure, a lack of specialized teacher training, and the absence of clear policy frameworks for ethical AI use. This study concludes that while AI has profound potential to modernize Arabic instruction by fostering interactive and inclusive environments, its sustainable integration requires strategic policy support, comprehensive pedagogical shifts, and equitable technological access. Strengthening these areas is vital for ensuring that AI serves as an effective catalyst for linguistic excellence and inclusive education within higher education contexts. By addressing these infrastructure and policy-related challenges, institutions can fully leverage AI's potential to reshape modern Arabic curriculum design and improve long-term student learning outcomes.  
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