Adaptive Edge Computing for Multimodal Student Data Fusion: An Explainable AI-Driven Framework for University Management Systems

In this paper, Adaptive Edge Computing (AEC) and Explainable Artificial Intelligence (XAI) are integrated in university management systems to process students' multisensory data in real-time and to explain the decision-making process.The framework postulated in this research seeks to employ edge computing to facilitate data processing near the edge of the network, in a timely manner and with minimal reference to the traditional cloud computing platform, in an effort to enhance the swift efficiency of decision making.This way, through the help of XAI methods, those