Design and evaluation of a GenAI-based personalized educational content system tailored to personality traits and emotional responses for adaptive learning
Wentao Hu, Zichen Shao · Computers in Human Behavior Reports · 2025
This research integrates personality traits and emotional responses with GenAI to create personalized educational content. Using a design-based approach, the Psychologically-Aware Generative Education (PAGE) system was developed to adapt learning materials based on learners' Big Five personality profiles and real-time emotional feedback. Quasi-experimental testing with 200 university students demonstrated that PAGE significantly enhanced emotional satisfaction (4.4/5 vs 3.6/5, Cohen's d=1.05) and learning engagement compared to traditional adaptive systems, with 22% higher task completion rates (87.6% vs 72.3%) and 34% increased study duration. The system successfully tailored content style, difficulty, and support mechanisms according to individual psychological characteristics. Content personalization was particularly effective for students with high neuroticism, reducing dropout rates by 48% and negative emotions. This study provides empirical evidence that psychological adaptation in educational technology produces more engaging learning experiences than solely cognitive-based approaches, contributing design principles for developing psychologically-aware AI systems in education. These findings offer practical implications for educational institutions seeking to implement more humanized and culturally responsive technological solutions.