Thanks to the public and low cost availability of wireless high speed internet access students are increasingly equipped with mobile internet enabled devices to connect to university services like Learning Management System (LMS). But the applications services like LMS are still unable to adapt themselves to modern mobile devices with restrictions like reduced display size. By recognizing the device and its restrictions it is possible to optimize the LMS interface. Additionally by using device features like position, acceleration sensors, or the camera it is possible to detect the intentions of the user. The context of the user's situation determines which university services are helpful and interesting. Gathering these context information and reasoning on them is the foundation of our context- and service-oriented approach towards a mobile LMS. This enables us to personalize the mobile learning experience with location-sensitive lecture streaming, campus navigation, and ubiquitous features of the whole university computing infrastructure. By using a service-oriented architecture we are able to compose a variety of different university and external services towards a pervasive university.