Recognition of context in a Context-aware system of Electronic Theses and Dissertations

Context-aware systems serve the user by providing information that aligns with the preferences and context of the user. This study aims to recognize the contexts related to the entities of electronic theses and dissertations. Research is of the qualitative type that has used the documentary research method to find concepts, make coding, and classify contexts. The contribution of this research in increasing knowledge is to recognize the contexts of the users, electronic theses, and dissertation "ETD" and the system entities. The findings showed that the contexts of users are classified into 10 categories: user identity, interests and preferences, activities and history, social communication, computer context, user locations, user times, user access level, user status, and physical environment. The contexts of ETD have 8 categories: ETD identity, access level, audiences, activities and events, ETD content, time, place, and physical format of ETD. System contexts were grouped into 8 categories: system characteristics, user interaction capabilities, indexing capability, systems communication, user’s data storage, computing context, activity, and location. Conducting this research gives developers and decision-makers of ETD systems knowledge of contexts to redesign the system by considering the capabilities of context-aware systems to respond to users' needs, recommend documents, retrieve user-oriented documents, and develop system compatibility procedures. In the present study, we have tried to recognize all the contexts in an ETD system, and not only the user contexts but also the ETD contexts and the system contexts have been considered. context-aware ETD developers need some of the recognized contexts based on the type of context-aware services