The rapid adoption of e-learning platforms amid the COVID-19 pandemic has transformed a new era in education, marked by a profound integration of artificial intelligence (AI). This paper explores the emerging interest in AI-enhanced educational tools, particularly in the context of reusable learning objects (RLOs). RLOs, powered by machine learning algorithms, offer personalized learning experiences tailored to diverse student needs and learning styles. As educators and institutions seek innovative methods to engage learners and optimize teaching resources, RLOs arise as a promising solution. However, the deployment of RLOs poses both opportunities and challenges within existing educational frameworks, prompting questions about their potential advantages and difficulties. It is essential to comprehend the psychological frameworks that shape the perceptions of RLOs among educators and students to ensure effective undertaking. This study aims to address these questions through semi-structured interviews with educators and students, alongside the development and deployment of a prototype RLO. By examining user experience, interface design, privacy considerations, and security implications, we were able to see current challenges and solutions in curriculum development and gain insights into the evolving landscape of AI-powered educational tools and their impact on teaching and learning processes. These results will build on the existing research of AI in education as the study sheds more light on the current body of knowledge, important for today’s evolving technology as AI continues to integrate into education.