The very recent progress of large language models (LLMs), such as ChatGPT, has a promising potential for intelligent educational systems. Nonetheless, current AI-driven tutoring strategies may become overly reliant on static outputs, low domain-generalization capabilities, and low personalization that compromise deep learning, reasoning, and critiquing. An integrated ChatGPT-enhanced education platform is introduced in this paper, which learns users personalized teaching material and cognition skills, and interacts in real-time. By building in pedagogical guardrails, real-time feedback loops, and instructor monitoring layers, the platform mitigates the risks of plagiarism and surface-level learning commonly associated with earlier LLM implementations. The proposed learning framework enables multimodal content generation, scalable tutoring across curriculum, and accessible learning for individuals with heterogeneous linguistic and cognitive backgrounds. Comprehensive analysis shows that it increases user engagement, encourages higher-level learning and supports cost-effective, personalized learning, making ChatGPT an auxiliary power in contemporary educational environments.