Module Management AI Agents: A targeted approach to study support in higher education

This article explores the development and implementation of Module Management AI Agents to enhance student support and administrative efficiency in higher education. In response to the increasing complexity of module delivery and the demand for timely, accessible information, the Year One EAP team at XJTLU created three tailored agents: the Y1 EAP Module Guide, Online Lesson AI Assistant, and Y1 EAP Resit Helper. Built using XIPU AI’s retrieval-augmented generation (RAG) framework and carefully calibrated technical parameters, these agents provide accurate, document-verified responses to student queries and offer a range of other benefits to the study experience. The design process followed a cyclical model of prompt-writing, standardization, collaborative testing, and revision to ensure clarity, reliability, and alignment with institutional goals. This article outlines the value of targeted AI solutions in improving educational experiences and highlights opportunities for future refinement and integration within higher education.