Exploiting OSGi capabilities from MHP applications

In this paper we introduce a cooperative environment between the Interactive Digital TV (IDTV) and home networking with the aim of allowing the interaction between interactive TV applications and the controllers of the in-home appliances in a natural way. More specifically, our proposal consists of merging MHP (Multimedia Home Platform), one of the main standard frameworks for IDTV, with OSGi (Open Service Gateway Initiative), the most widely used open platform to set up Residential Gateways. To overcome the radically different nature of these specifications the function-oriented MHP middleware and the service-oriented OSGi framework , we define a new kind of application, coined as XbundLET. Although this software bridge is suitable to enable the interaction between MHP and OSGi applications in both directions, we concretely focus on exposing our implementation experience in only one direction: from MHP to the OSGi world.

Software Engineering and eLearning: The MuSofT Project

eLearning supports the education in certain disciplines. Here, we report about novel eLearning concepts, techniques, and tools to support education in Software Engineering, a subdiscipline of computer science. We call this "Software Engineering eLearning". On the other side, software support is a substantial prerequisite for eLearning in any discipline. Thus, Software Engineering techniques have to be applied to develop and maintain those software systems. We call this "eLearning Software Engineering". Both aspects have been investigated in a large joint, BMBF-funded research project, termed MuSofT (Multimedia in Software Engineering). The main results are summarized in this paper.

Matching Software and Context in Open Learning Scenarios

We describe the use of log file analysis to investigate whether the use of CSCL applications corresponds to its didactical purposes. Exemplarily we examine the use of the web-based system CommSy as software support for project-oriented university courses. We present two findings: (1) We suggest measures to shape the context of CSCL applications and support their initial and continuous use. (2) We show how log files can be used to analyze how, when and by whom a CSCL system is used and thus help to validate further empirical findings. However, log file analyses can only be interpreted reasonably when additional data concerning the context of use is available.

Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software

Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLV applications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.

The MIRELA framework: modeling and analyzing mixed reality applications using timed automata

Mixed Reality (MR) aims to link virtual entities with the real world and has many applications such as military and medical domains [JBL+00, NFB07]. In many MR systems and more precisely in augmented scenes, one needs the application to render the virtual part accurately at the right time. To achieve this, such systems acquire data related to the real world from a set of sensors before rendering virtual entities. A suitable system architecture should minimize the delays to keep the overall system delay (also called end-to-end latency) within the requirements for real-time performance. In this context, we propose a compositional modeling framework for MR software architectures in order to specify, simulate and validate formally the time constraints of such systems. Our approach is first based on a functional decomposition of such systems into generic components. The obtained elements as well as their typical interactions give rise to generic representations in terms of timed automata. A whole system is then obtained as a composition of such defined components. To write specifications, a textual language named MIRELA (MIxed REality LAnguage) is proposed along with the corresponding compilation tools. The generated output contains timed automata in UPPAAL format for simulation and verification of time constraints. These automata may also be used to generate source code skeletons for an implementation on a MR platform. The approach is illustrated first on a small example. A realistic case study is also developed. It is modeled by several timed automata synchronizing through channels and including a large number of time constraints. Both systems have been simulated in UPPAAL and checked against the required behavioral properties.

Informelles Lernen Studierender mit Social Software unterstützen

E-Learning-Aktivitäten von Hochschulen haben häufig eine einseitige Ausrichtung auf die Unterstützung von Lehrveranstaltungen durch Technologien, insbesondere Lernmanagementsysteme. Dabei geraten die Studierenden als Zielgruppe nur mittelbar in den Blick. Diese Beobachtung nehmen die Autorinnen und Autoren des Bandes zum Anlass, das Lern-Erleben und die unterschiedlichen Phasen des Studiums aus Perspektive der Studierenden zu betrachten. Untersucht wird zudem, welche Unterstützungsangebote Hochschulen in welchen Phasen idealerweise bereitstellen. Die Autorinnen und Autoren formulieren detailliert, wie Hochschulen das studentische Lernen mit Hilfe von Social Software unterstützen können. Diese Empfehlungen basieren auf den Ergebnissen empirischer Untersuchungen sowie auf Fallstudien nationaler und internationaler Beispiele guter Praxis, die ausführlich präsentiert werden. Mit diesem Band möchten die Autorinnen und Autoren denjenigen, die in Bildungseinrichtungen des tertiären Sektors (aber auch in anderen Sektoren) tätig sind, konkrete Anregungen liefern, Unterstützungsangebote für das informelle Lernen von Studierenden mit Social Software stärker in den Blick zu nehmen und geeignete Angebote zu entwickeln. Die Publikation basiert auf Ergebnissen des Projekts „Learner Communities of Practice“, das zwischen 2009 und 2012 als Verbundprojekt sächsischer Hochschulen mit Förderung durch das SMWK unter Leitung des Medienzentrums der TU Dresden bearbeitet wurde.