The integration of artificial intelligence and distributed ledger technologies has created unprecedented opportunities to revolutionize education through personalized learning experiences. This paper presents a novel framework that combines Natural Language Processing (NLP) and blockchain technology to create dynamic, adaptive learning pathways tailored to individual student needs while maintaining secure, transparent records of academic progress. Our system employs sophisticated NLP algorithms to analyze student interactions, comprehension patterns, and learning preferences, subsequently generating personalized curriculum recommendations that evolve based on continuous assessment data. Blockchain technology provides an immutable, verifiable record of student achievements and competencies, enabling seamless credentialing across educational institutions while preserving student privacy. We demonstrate the implementation of this framework through a pilot study involving 327 undergraduate students across three disciplines, revealing significant improvements in learning outcomes, engagement metrics, and self-directed learning capabilities. Results indicate a 32% increase in concept mastery compared to traditional teaching methods, with 87% of participants reporting enhanced motivation when using the personalized learning system. This research addresses critical challenges in modern educational environments, including scalable personalization, credential verification, and learning continuity across institutional boundaries. P-values were reported to indicate the statistical significance of group differences. Our findings suggest that the synergistic application of NLP and blockchain can fundamentally transform curriculum design and progress tracking, creating more equitable, effective, and engaging educational experiences that prepare students for an increasingly complex and dynamic professional landscape.