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In this study, the researcher analyses the problems which do not allow artificial intelligence to produce the grammatically correct Arabic text like a human. The focus is made on the complexity of the Arabic language grammar and morphology which cannot be precisely processed by AI. To this end, the descriptive methodology is used, and the survey of 50 users of Microsoft Word 2010 and the abilities of AI to produce the correct sentences in Arabic is conducted. The aim is to determine such factors of the Arabic language as subject-verb agreement, gender, number, and context-dependent phrases with which the AI cannot cope. The results demonstrate significant problems with the accuracy of AI processing Arabic grammar and morphology with 45.5% of respondents stated that they do not agree that AI correctly deals with this language. The study suggests that it is necessary to develop AI tools with the utilization of deep learning algorithms and context-aware to improve their ability to deal with the features of the Arabic language text. The significance of the research is primarily in the development of more accurate natural language processing systems.

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The Use of Artificial Intelligence Analytics to Understand Learning Behaviors and Improve Student Outcomes in E-Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Khalil Hassan Al -Zarkani,
  • Arkan Rahim Jabr Al -Atabi,
  • Maha Talib Abdullah Al -Jubouri

摘要

In this study, the researcher analyses the problems which do not allow artificial intelligence to produce the grammatically correct Arabic text like a human. The focus is made on the complexity of the Arabic language grammar and morphology which cannot be precisely processed by AI. To this end, the descriptive methodology is used, and the survey of 50 users of Microsoft Word 2010 and the abilities of AI to produce the correct sentences in Arabic is conducted. The aim is to determine such factors of the Arabic language as subject-verb agreement, gender, number, and context-dependent phrases with which the AI cannot cope. The results demonstrate significant problems with the accuracy of AI processing Arabic grammar and morphology with 45.5% of respondents stated that they do not agree that AI correctly deals with this language. The study suggests that it is necessary to develop AI tools with the utilization of deep learning algorithms and context-aware to improve their ability to deal with the features of the Arabic language text. The significance of the research is primarily in the development of more accurate natural language processing systems.