AI-Driven Opportunistic Learning : Enhancing Personalized Educational Experiences for Arab Learners in the MENA Region

Abstract

Artificial Intelligence (AI) is rapidly transforming the education sector across the the Arab world promising innovative solutions to meet the diverse needs of learners. This study introduces the concept of opportunistic education, which leverages AI to provide personalized learning experiences accessible anytime and anywhere. By tailoring digital learning systems to individual preferences, AI enhances the educational environment and optimizes resource utilization.

This paper examines the potential of AI to revolutionize educational practices in the MENA region, drawing on case studies and fieldwork conducted in Egypt and Lebanon. The findings reveal that a majority of Arab students view AI-based learning systems positively, believing they will enhance their academic pursuits. However, it is noted that 40–55% of students continue to engage with materials in languages that are not their first language (L1). Despite this challenge, 70–90% of respondents feel they have access to high-quality educational resources that resonate with their cultural and linguistic contexts. Furthermore, 75–85% of students value community collaboration based on shared cultural interests, and over 70% appreciate the benefits of AI-driven personalized learning experiences.

Despite concerns regarding privacy and security, 80% of participants expressed a willingness to use AI-driven opportunistic learning platforms tailored to their specific needs. The evidence suggests that implementing AI-driven opportunistic education can significantly engage Arab students, creating a flexible, responsive, and productive learning environment. This alignment of AI and opportunistic education supports adaptive learning strategies, fosters personalized pathways, and nurtures lifelong learning in an increasingly complex global landscape.