Analysis Of Element And Design Needs For CONLERT Mobile Application Prototype

Academic events such as seminars, conferences, and workshops play a crucial role in facilitating knowledge exchange and fostering professional connections within the education sector. However, obtaining accurate and up-to-date information about these events often proves challenging due to fragmented and outdated sources. To address this gap, this study focuses on the development and evaluation of CONLERT, a mobile application prototype designed to simplify the discovery and management of academic events. Powered by artificial intelligence, CONLERT delivers personalised notifications tailored to user preferences, making it easier and more engaging to stay informed. This research specifically analyses the elements and design requirements for the CONLERT mobile application prototype. The Fuzzy Delphi method was employed to gain expert consensus in identifying the key components necessary for creating an effective and user-friendly application. Findings reveal a high level of agreement on all major design elements, including interface, content, text, graphics, audio, and the integration of artificial intelligence. Clear navigation, easily understandable language, and visual clarity emerged as top priorities in ensuring usability. These insights provide valuable guidance for developers in optimising user experience and enhancing CONLERT’s effectiveness as a responsive, accessible platform for academic event information alert.