A Comprehensive Educational Platform based on Generative Artificial Intelligence

Generative Artificial Intelligence (GAI) has witnessed significant progress in recent years, demonstrating transformative potential for education by enabling dynamic content creation and personalized learning pathways. However, many existing educational platforms rely on static content and fixed pathways, lacking the integrated architecture needed to fully harness GAI's capabilities to create cohesive, adaptive learning experiences. To address this gap, this study details the design, implementation, and empirical evaluation of a novel, comprehensive educational platform built upon GAI. The platform is based on a three-layer architecture transcending traditional frameworks: a Basic Technical Layer integrating modular AI models (e.g., Transformer, attention-based CNN-BiLSTM), a Processing Centre for real-time data synthesis and model optimization, and an Application and Interaction Layer housing eight core functional modules, including personalized learning, intelligent Q&A, and competency assessment. This integrated architecture facilitates a dynamically customizable learning experience that continuously adapts to individual learners' needs and progress. To evaluate the platform's efficacy, we conducted a randomized controlled trial (RCT) involving 50 undergraduate students and 20 educators over two semesters, comparing outcomes against a control group using traditional methods. Experimental results demonstrate that the proposed platform significantly improves learning outcomes, increases student engagement metrics (e.g., time-on-task and content interaction rates), and achieves high accuracy in personalized content matching. The findings suggest that this GAI-based platform constitutes an advancement in educational technology by effectively personalizing instruction and supporting adaptive learning at scale. This study contributes a detailed, replicable architectural blueprint and provides empirical evidence supporting the practical value of integrated GAI systems in enhancing educational effectiveness and fostering lifelong learning competencies.