Needs Analysis for the Design and Development of an Arabic Poetry Learning Module Using Augmented Reality Technology

Shamsul Aiman Mua'mar Shamsul Bahrin, Mohd Fauzi Abdul Hamid, Mohammad Azizie Aziz and Isyaku Hassan
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Shamsul Aiman Mua'mar Shamsul Bahrin: Faculty of Languages and Communication, Universiti Sultan Zainal Abidin
Mohd Fauzi Abdul Hamid: Faculty of Languages and Communication, Universiti Sultan Zainal Abidin
Mohammad Azizie Aziz: Faculty of Languages and Communication, Universiti Sultan Zainal Abidin
Isyaku Hassan: Faculty of Languages and Communication, Universiti Sultan Zainal Abidin

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 10, 10193-10202

Abstract: Arabic poetry constitutes a vital domain for appreciating the linguistic elegance and cultural legacy of the Arab world, particularly within the framework of contemporary education. To cultivate profound appreciation and understanding, teaching and learning (T&L) methods must be interactive, engaging, and responsive to current technological advancements. This study seeks to analyze the needs pertaining to the design and development of an Arabic poetry learning module based on augmented reality (AR) technology. The research adopts a Design and Development Research (DDR) methodology, employing the McKinsey 7S Model as the theoretical framework. Data were collected through a structured questionnaire designed to explore several dimensions: the use of learning materials in Arabic poetry courses, challenges in existing pedagogical approaches, students' predisposition towards the adoption of innovation in learning, the perceived necessity for AR technology, proficiency in Arabic poetry, and students' insights through open-ended responses. The study involved 177 undergraduate students of Arabic Language Studies who were either currently enrolled in or had completed the Jahili and Islamic Arabic poetry courses. Data analysis was conducted using the Statistical Package for the Social Sciences (SPSS), focusing on descriptive statistics such as mean scores and standard deviations. The findings indicate that the integration of AR technology into Arabic poetry instruction holds significant potential to enhance student engagement and facilitate a deeper, more effective understanding of poetic content.

Date: 2025
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