This research seeks to systematically investigate AI-enhanced smart learning tools and techniques that can be seamlessly integrated into curriculum-based learning across diverse academic disciplines, with the goal of fostering sustainable technological practices in education. The study centers on evaluating the current curricula of Higher Educational Institutions (HEIs) and other educational organizations in Oman, as well as assessing the technical skills of faculty members in implementing available smart learning technologies. A quantitative approach is utilized in this research, incorporating two distinct questionnaires—one designed for faculty and staff across various disciplines, and another for students. The data will be analyzed using Smart Partial Least Squares (PLS) regression techniques. The findings are expected to reveal that curricula in fields such as engineering, medicine, and business require adaptable materials and technologies for effective subject delivery. AI-driven technologies such as natural language processing, chatbots, gamification platforms, speech recognition, and tools like Microsoft Word, Excel, and PowerPoint, along with other multimedia platforms, are vital for facilitating smart learning. This study will offer curriculum-oriented, AI-enhanced smart learning solutions, benefiting both educators and students. Additionally, the findings will provide valuable insights for Omani HEIs, colleges, and universities regarding the adoption and implementation of AI-driven smart learning technologies to enhance teaching and learning practices.