CustomAIzEd: Bridging Interdisciplinary Gaps in AI Education with Customized Content Using LLMs
Li Xue Pua, Rushil Ramesh, Prabhu Natarajan, Ganesh Neelakanta Iyer · 2025
The relationship between Artificial Intelligence (AI) and Education has witnessed substantial development in recent years, driven by a rising demand for learning AI concepts and the integration of AI technologies to enhance educational experiences. The inherent complexity of AI concepts necessitates the development of personalized pedagogical approaches to convey these concepts to students. However, few existing solutions enable the creation of customized content tailored to the unique learning needs of students. To bridge this gap, we have developed CustomAIzEd, an adaptive learning platform that harnesses large language models (LLMs) to thoughtfully create and recommend personalized quizzes and programming assignments focused on AI concepts. To evaluate the efficacy of this feature, a user study was conducted on students and instructors of IT1244, an introductory AI course offered by the National University of Singapore (NUS), based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The study revealed strong user intent from both students and instructors, highlighting the application's potential to enhance the experiences both of learners and educators in the field of AI.