AI Adoption Criteria for Adaptive E-Learning Systems in Conflict Zones: Insights from Palestinian Schools
DOI:
https://doi.org/10.14516/ete.12206Keywords:
AI in education, adaptive learning systems, learning analytics, digital technology in schools, conflict-affected schools, ethical dimensions of digital governanceAbstract
This study investigates key factors influencing the adoption of AI-enabled adaptive e-learning systems (AI-AELS) in conflict-affected contexts, using Palestinian schools as a case study. A cross-sectional survey of 207 teachers and ICT coordinators in Gaza informed the analysis. Six constructs were examined: Institutional Ethics & Governance, Learning Assessment AI, Design and Presentation AI, Adaptation and Personalization AI, Data Processing using Learning Analytics and AI, and Learning Content. The 11-item instrument was validated through expert review, pilot testing, and confirmatory factor analysis. Structural Equation Modeling (SmartPLS 4) identified Data Processing (β = 0.512, p < 0.001) and Adaptation and Personalization (β = 0.345, p < 0.001) as the strongest adoption predictors, followed by Learning Content and Ethics & Governance. Design and Assessment had smaller effects. Findings emphasize the importance of culturally adaptive, ethically sound AI-AELS tailored for fragile educational systems, offering an empirical foundation for informed policy and design in conflict-zone education.




