KECERDASAN BUATAN GENERATIF DALAM PEMBELAJARAN BAHASA ARAB: SYSTEMATIC LITERATURE REVIEW TENTANG TREN, MANFAAT, TANTANGAN, DAN ARAH PENELITIAN
چکیده
The landscape of foreign language education, particularly Arabic language instruction, is currently undergoing a fundamental transformation driven by the emergence of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). This Systematic Literature Review evaluates recent developments in the integration of GenAI into the Arabic language learning ecosystem, encompassing trends in the evolution of language models, pedagogical effectiveness, the utilization of automated assessment systems, as well as the linguistic and cultural challenges involved. Through a thematic synthesis of empirical and theoretical literature published between 2019 and 2026, this review confirms that GenAI significantly enhances learner engagement, instructional personalization, and language skill acquisition, particularly in vocabulary mastery and reading comprehension. These improvements are driven by the adoption of general-purpose models such as ChatGPT, as well as leading Arabic-centric models such as JAIS and ALLaM. Nevertheless, this innovative integration encounters the inherent structural complexity of the Arabic language. Generative models frequently experience technical limitations in handling syntactic rules (nahwu), morphology (shorof), diacritic disambiguation, and regional dialect variations, as evidenced by performance gaps in linguistic benchmarks such as AraLingBench and AlGhafa. Furthermore, this review discusses rapid advances in trait-based Automated Essay Scoring (AES) supported by precise prompt engineering. Based on these findings, the study concludes that although GenAI has significant potential to bring positive disruption, its successful implementation depends heavily on pedagogical readiness, digital literacy, the application of Human-in-the-Loop (HITL) collaboration, and the development of ethical frameworks aligned with the epistemology of Islamic higher education.