Focus and Scope
JETLA welcomes empirical studies, systematic reviews, mixed-methods research, and conceptual papers that address the following themes:
- Technology Integration in Arabic Language Teaching Computer-assisted Arabic language learning (CAALL), learning management systems (LMS) for Arabic programs, blended and online Arabic instruction, and flipped classroom approaches in Arabic pedagogy.
- Artificial Intelligence and Natural Language Processing AI-powered tools for Arabic text analysis, automated feedback systems for Arabic writing and speaking, NLP applications in Arabic vocabulary and grammar instruction, and chatbot-mediated Arabic learning.
- Mobile and Game-Based Learning Mobile-assisted Arabic language learning (MALL), gamification in Arabic classrooms, serious games for Arabic acquisition, and app-based learning for Quranic Arabic.
- Adaptive and Personalized Learning Adaptive learning systems for Arabic, intelligent tutoring systems (ITS) in Arabic education, learner analytics in Arabic language programs, and personalization strategies for diverse learner profiles.
- Assessment and Evaluation Technology Technology-enhanced assessment of Arabic language skills (istima', kalam, qira'ah, kitabah), automated scoring systems, and digital portfolios in Arabic education.
- Multimodal and Immersive Learning Environments Virtual reality (VR) and augmented reality (AR) for Arabic language learning, digital storytelling in Arabic pedagogy, and video-based instruction for Arabic learners.
- Teacher Professional Development Technological Pedagogical Content Knowledge (TPACK) in Arabic language teaching, digital competence of Arabic teachers, and teacher training programs integrating EdTech for Arabic.
- Corpus and Data-Driven Learning Corpus-based approaches to Arabic vocabulary instruction, data-driven learning (DDL) in Arabic contexts, and digital corpus tools for Arabic teachers and learners.
