<b>Advancing Generative Intelligent Tutoring Systems with GPT-4: Design, Evaluation, and a Modular Framework for Future Learning Platforms</b>

Generative Intelligent Tutoring Systems (ITS), powered by advanced language models like GPT-4, represent a transformative approach to personalized education by enabling real-time adaptability, dynamic content generation, and interactive learning. This study introduces a modular framework for designing and evaluating such systems, leveraging GPT-4's generative capabilities to facilitate Socratic-style interactions, personalized feedback, and adaptive learning support. A practical implementation, the Socratic Playground for Learning (SPL), was developed and evaluated in a pilot study with 30 undergraduate students, focusing on foundational English skills. The results demonstrated significant improvements in vocabulary, grammar, and sentence construction, along with high levels of engagement, adaptivity, and satisfaction. To ensure scalability and replicability, the framework employs lightweight JSON structures suitable for diverse educational settings. While the system shows promise, challenges such as computational costs and content validation highlight areas for further refinement. This research provides a foundation for the design and assessment of generative ITS, offering valuable insights into advancing personalized learning and exploring broader applications of generative AI in education.