Pembelajaran Morfologi Arab Berbasis Akar dan Wazan melalui Peta Kosakata Digital

Abstract

Arabic root-and-pattern instruction can help organize vocabulary, but a shared root does not determine every word’s meaning or actual use. This article develops a conceptual framework for digital morphological vocabulary maps through a purposive narrative review and analysis of constructed examples. Reference descriptions of Arabic morphology are connected with form-focused instruction, multimedia learning, and bounded assessment interpretation. The analysis distinguishes root recognition, pattern identification, lexical meaning, and contextual use. Examples from the k–t–b family illustrate relationships among a verb, an active participle, a passive participle, and lexicalized nominal forms, while contrasting consonant length shows why phonological details matter for morphological interpretation. The proposed map records attested forms, an explicit description of each pattern, a source-checked meaning, and a contextual sentence; it does not generate unrestricted words from a root. A learning cycle combines form comparison, meaning verification, context selection, and transfer to unfamiliar vocabulary. An initial rubric separates structural analysis, lexical verification, contextual fit, and accountable revision. No learner tests, corpus frequencies, or intervention effects are reported. The contribution is an untested pedagogical framework that requires linguistic review, authenticated lexical sources, and independent performance assessment before claims can be made about improved vocabulary knowledge or morphological awareness.