JoWUA

Abstract

This paper introduces a context-sensitive intelligent middleware to facilitate the smooth integration of Mobile Ad Hoc Networks (MANETs) into the smart education setting, with particular emphasis on improving the effectiveness of history lessons. With the continued integration of mobile, ubiquitous, and collaborative technologies into learning, traditional network infrastructures are frequently struggling to support the dynamic, device-intensive classroom environments, particularly when learning occurs outdoors or in resource-constrained settings, such as field trips to historical locations. The suggested middleware solves these problems by enabling adaptive communication, decentralized coordination, and intelligent context processing across heterogeneous mobile devices. The system uses real-time contextual information- learner location, group activity, content requirements, and network conditions - to autonomously control routing, resource allocation, and content dissemination within learning sessions supported by MANET. The middleware can support adaptation of educational content delivery, performance optimization in peer-to-peer interactions, and stable network performance without depending on predetermined infrastructure by combining semantic context modeling with lightweight machine-learning methods. In the context of history education, the middleware will facilitate rich, place-based learning activities, helping students share their exploration of historical stories, access multimedia content, and engage in interactive activities despite connectivity constraints in the classroom. The evaluation report indicates better learning activities, reliable communication, and adaptability. This paper shows that intelligent, context-aware middleware is essential for developing resilient and immersive smart-education environments.