Design E-Content Adaptive based on Artificial Intelligence For development Depth of Knowledge Among First-Year High School Students

Abstract

His study aimed to design AI-based adaptive e-content to enhance knowledge depth among first-grade secondary school female students. A quasi-experimental design was adopted, with a sample of 58 students divided into experimental (29 students using adaptive content) and control (29 students following traditional instruction) groups. A knowledge depth test was administered, and data analysis revealed a statistically significant improvement in the experimental group, with a large effect size in strategic and extended thinking. The study recommends integrating AI techniques to optimize adaptive e-content effectiveness.