The Age of Information (AoI) is a critical performance metric that measures the real-time freshness of data. The adoption of the Internet of Things (IoT) in higher education has facilitated the development of the Social Internet of Educational Things (SIoET), where interconnected devices aim to enhance learning experiences. In rapidly changing urban environments, keeping information updated is particularly important in smart classrooms and virtual labs. This paper aims to minimize the AoI in Device-to-Device (D2D)-assisted SIoET networks. We propose an energy-efficient algorithm that can minimize the AoI with minimum power consumption using an iterative search method by adopting the concept of gradient descent and geometric programming techniques. This study also investigates the impacts of varying network conditions, such as mobility and device density, on the AoI’s metric. The simulation results indicate that the proposed scheme achieves optimal AoI by 26.73% while enhancing energy efficiency by 25.45% compared to standard benchmark schemes. The proposed work may enable SIoET networks such as smart campus infrastructure with higher energy efficiency and improve emergency response by providing up-to-date alerts. AoI can also automate the lectures and academic content at the receiver, as well as track attendance, in large groups. These studies may improve the responsiveness and effectiveness of educational systems that are driven by SIoET networks.