Integrating Artificial Intelligence Into Arabic Language Curriculum Evaluation

Abstract

The integration of Artificial Intelligence (AI) in teaching the Arabic Language (A L), particularly in the realm of Arabic language curriculum evaluation has marked  a momentous from traditional  evaluation approaches. Therefore, the study aimed to highlight how to integrate artificial intelligence into Arabic language curriculum evaluation. It sought also to show how AI applications can be utilized to provide consistent and unbiased evaluation outcomes. The descriptive method was adopted, wherein the most relevant literature and related studied were reviewed. Two types of Arabic language curriculum evaluations were addressed, namely, internal and external evaluations. Findings of the study revealed that AI applications like Automatic Evaluation Systems, AI Chatting Robots, Neural Machine Translation Tools, Intelligent Virtual Environment, Affective Computing (AC) in ITSs and Intelligent Tutoring Systems (ITSs) can be utilized to make the evaluation process more flexible, interactive, collaborative, valid. recursive and free of personal preferences and impressions. Findings also showed that AI applications are easy to use by trained educators, teachers, other stakeholders and student and  provide immediate evaluative feedback. These findings adduce the importance of incorporating AI tools into Arabic language curriculum evaluation.