The Future of Education with Artificial Intelligence and Machine Learning in the Arab World: A Systemat. | ||
| العلوم التربوية | ||
| Volume 31, Issue 3 - Serial Number 5, July 2023, Pages 1-35 PDF (528.77 K) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/ssj.2023.344574 | ||
| Author | ||
| Dr. Reham Mahmoud Rabie | ||
| جامعة | ||
| Abstract | ||
| Abstract Machine Learning (ML) and Artificial Intelligence (AI) are mechanisms that appeared as a result of data management development; trends that are identified as “Game-changer” which revolutionized many various industries, including Education. They have emerged as a promising technology that can offer innovative solutions to some problems that the Arab world faces. This systematic review aims to examine the opportunities and challenges of using AI and ML in Arab World Education. A comprehensive search was conducted in major databases such as PubMed, Scopus, EKB, and Web of Science, using relevant keywords. The search yielded 30 relevant articles that were included in the review. The results indicated that the use of AI and ML in Education has the potential to improve the quality of Arab world Education in many fields such as Medical Education; in which AI and ML have revolutionized disease prevention, detection, and treatment. Also, the results show that the main functions of AI and ML in Education include Personalized learning, Automation, Adaptive Learning Platforms, Intelligent Tutoring Systems, Automated Grading and Feedback, Smart Content Creation, Predictive Analytics, Early Intervention, Language Learning, Paraphrasing, and Translation. However, there are also some significant challenges that need to be addressed, such as the Lack of Infrastructure, Limited resources, Cultural barriers, and Ethical considerations. In conclusion, the successful implementation of AI and ML in Arab World Education requires a comprehensive strategy that takes into account the unique context of the region. | ||
| Keywords | ||
| Keywords :Arab World Education; Artificial Intelligence; Machine Learning and Medical Education | ||
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