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September 10, 2025ARABIYATUNA Jurnal Bahasa ArabOpen Access

A Techno-Linguistic Decoding Errors in Arabic Writing Assessments: A Case Study of Alikhtibar LMS

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Preposition misuse ranked highest among errors at 30 instances in student texts, showcasing significant assessments challenges.
Common error types included noun agreement errors (19) and verb conjugation errors (15), indicating areas for instructional focus.
A qualitative descriptive approach was employed to analyze 46 student-produced texts and derive findings relevant to teaching.
Results highlight the necessity for context-sensitive assessment tools, particularly in the evolving digital environment of language education.

Authors

MIMoh. IsmailUIN Sunan Ampel Surabaya AZAbdul Hafidz bin ZaidUniversity of Darussalam Gontor LMLuthfi MuhyiddinLeipzig University

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Implication

Qualitative analysis identifies common errors in Arabic writing within an LMS, suggesting the need for better assessment tools and pedagogical strategies.

Cite This Study

Ismail et al. (2025) studied this question.

synapsesocial.com/papers/68c1b81254b1d3bfb60ebd52 https://doi.org/10.29240/jba.v9i1.12426

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Implication

Qualitative analysis identifies common errors in Arabic writing within an LMS, suggesting the need for better assessment tools and pedagogical strategies.

A Techno-Linguistic Decoding Errors in Arabic Writing Assessments: A Case Study of Alikhtibar LMS

Key Points

Discussion

Implication

Cite This Study

A Techno-Linguistic Decoding Errors in Arabic Writing Assessments: A Case Study of Alikhtibar LMS

Key Points

Discussion

Implication

Cite This Study

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