Transforming Arabic Language Education: Expert Consensus on a Digital Learning Module Validated Using the Fuzzy Delphi Method

HRMARS - The rapid advancement of digital technology has necessitated the transformation of Arabic language education through the development of pedagogically sound and expert-validated digital learning modules. However, the lack of systematically validated instructional modules grounded in expert consensus remains a significant challenge. This study aims to identify and validate the essential components of a digital learning module for Arabic language education using the Fuzzy Delphi Method (FDM). A quantitative research design was employed involving a panel of subject-matter experts comprising Arabic language educators, instructional designers, and educational technology specialists. Based on an extensive review of the literature, a structured questionnaire was developed and analysed using triangular fuzzy numbers, threshold values, expert consensus percentages, and defuzzification procedures. The findings revealed that all proposed components of the digital learning module achieved strong expert consensus, with threshold values below 0.2 and a 100% agreement rate among experts. The validated components encompass interactive features, curriculum alignment, gamification, simulation, multimedia integration, discussion-based activities, thematic content organisation, language skills coverage, progressive learning stages, and learner proficiency alignment. These results indicate a robust and comprehensive framework for the development of a digital Arabic language learning module. The study contributes theoretically by extending the application of the Fuzzy Delphi Method in Arabic language education research and practically by providing a validated foundation for designing effective digital learning modules. Future research is recommended to examine the instructional effectiveness of the proposed module through empirical implementation and experimental evaluation.