TRANSFORMASI ASESMEN KETERAMPILAN BAHASA ARAB DI ERA DIGITAL DAN KURIKULUM MERDEKA: SEBUAH TINJAUAN LITERATUR SISTEMATIS
- Authors
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Nurhuda Abdillah
Sekolah Tinggi Agama Islam Minhajul HaqAuthor -
Muslihin
Sekolah Tinggi Agama Islam Minhajul HaqAuthor -
Isrun Abdurahman
Sekolah Tinggi Agama Islam Minhajul HaqAuthor
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- Keywords:
- Arabic Language Assessment, Merdeka Curriculum, Technology-Enhanced Assessment, Authentic Assessment, Systematic Literature Review
- Abstract
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Assessment in Arabic language learning as a foreign language (Arabic as a Foreign Language) is currently undergoing a significant paradigm shift. This transformation is influenced by the development of digital technology, the utilization of Artificial Intelligence (AI), and the implementation of the Merdeka Curriculum in Indonesia, which emphasizes flexibility, differentiation, and learning personalization. This article presents a Systematic Literature Review (SLR) aimed at identifying, examining, and synthesizing developments, innovations, methodological approaches, and various challenges in the assessment of the four Arabic language skills, namely listening, speaking, reading, and writing, during the period from 2020 to early 2026. The review employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol to identify and analyze relevant literature. The findings indicate a shift from conventional evaluation systems based on discrete tests toward the implementation of Technology-Enhanced Assessment (TEA) and more authentic forms of assessment. The literature synthesis reveals several key findings. First, diagnostic assessment, encompassing both cognitive and non-cognitive aspects, plays an important role in designing differentiated learning within the framework of the Merdeka Curriculum. Second, the development of assessment instruments for Arabic language maharah is increasingly oriented toward measuring higher-order thinking skills (Higher Order Thinking Skills/HOTS). Third, the utilization of Generative AI, including ChatGPT, as well as various gamification-based learning platforms, has introduced new approaches to providing faster, more adaptive, and interactive feedback. Based on the synthesis, the effectiveness of modern assessment is not determined solely by the sophistication of the technology employed, but also by the alignment between technology and pedagogical objectives, the transparency of assessment procedures, and its ability to comprehensively represent learners' communicative competence while maintaining the principles of academic integrity.
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