View-Dependent Extraction of Contours with Distance Transforms for Adaptive Polygonal for adaptive polygonal Mesh-Simplification

During decades Distance Transforms have proven to be useful for many image processing applications, and more recently, they have started to be used in computer graphics environments. The goal of this paper is to propose a new technique based on Distance Transforms for detecting mesh elements which are close to the objects' external contour (from a given point of view), and using this information for weighting the approximation error which will be tolerated during the mesh simplification process. The obtained results are evaluated in two ways: visually and using an objective metric that measures the geometrical difference between two polygonal meshes.

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.

Liferay, Lecture2Go, Hochschulapps, OERs-MOOCs, Open IDM, e-Identity, CampusSource White Paper Award

Vorträge und Präsentationen von der CampusSource Tagung am 25.04.2013 bei der FernUniversität in Hagen zu den Themen:Liferay, Lecture2Go, Hochschulapps, OERs-MOOCs, Open IDM, e-Identity, CampusSource White Paper Award

MOOCs – Massive Open Online Courses

Massive Open Online Courses (MOOCs) bezeichnen Kurse, die online stattfinden und auf Grund fehlender Zugangsbeschränkungen und kostenfreien Zugangs sehr hohe Teilnehmerzahlen erreichen. Der erste MOOC wurde 2011 durch Sebastian Thrun, Professor für Informatik an der Stanford University, zum Thema der Künstlichen Intelligenz angeboten und hatte 160.000 Teilnehmende. In der Folge wurden MOOCs als die revolutionäre Lehr-/Lerninnovation gepriesen, immer mehr Unternehmen gründeten MOOCs-Plattformen. Seit Ende 2012 bieten auch in Deutschland erste Institutionen eigene Plattformen mit MOOCs an. Man unterscheidet im Wesentlichen zwei Varianten – xMoocs und cMOOCs: xMoocs bieten auf Video aufgezeichnete Vorlesungen, die durch Tests und Fragen unterbrochen und zu denen Aufgaben ausgeteilt werden. Sie werden ergänzt durch Foren. cMOOCs orientieren sich eher an der Form eines Seminars oder Workshops, in ihnen können die Teilnehmenden die Inhalte selbst miterarbeiten und -gestalten. Um die Potenziale, aber auch die Schwächen der MOOCs bewerten zu können, bedarf es aber einer differenzierten Betrachtung, als sie bisher stattgefunden hat. Dieser Band stellt Erfahrungsberichte und Beispiele aus deutschen Hochschulen oder mit deutscher Beteiligung vor und reflektiert das Phänomen der MOOCs unter didaktischen, historischen und bildungspolitischen Aspekten.

Open Data and Earth Observations The Case of Opening Up Access to and Use of Earth Observation Data Through the Global Earth Observation System of Systems

Earth observations (EO) represent a growing and valuable resource for many scientific, research and practical applications carried out by users around the world. Access to EO data for some applications or activities, like climate change research or emergency response activities, becomes indispensable for their success. However, often EO data or products made of them are (or are claimed to be) subject to intellectual property law protection and are licensed under specific conditions regarding access and use. Restrictive conditions on data use can be prohibitive for further work with the data. Global Earth Observation System of Systems (GEOSS) is an initiative led by the Group on Earth Observations (GEO) with the aim to provide coordinated, comprehensive, and sustained EO and information for making informed decisions in various areas beneficial to societies, their functioning and development. It seeks to share data with users world-wide with the fewest possible restrictions on their use by implementing GEOSS Data Sharing Principles adopted by GEO. The Principles proclaim full and open exchange of data shared within GEOSS, while recognising relevant international instruments and national policies and legislation through which restrictions on the use of data may be imposed.The paper focuses on the issue of the legal interoperability of data that are shared with varying restrictions on use with the aim to explore the options of making data interoperable. The main question it addresses is whether the public domain or its equivalents represent the best mechanism to ensure legal interoperability of data. To this end, the paper analyses legal protection regimes and their norms applicable to EO data. Based on the findings, it highlights the existing public law statutory, regulatory, and policy approaches, as well as private law instruments, such as waivers, licenses and contracts, that may be used to place the datasets in the public domain, or otherwise make them publicly available for use and re-use without restrictions. It uses GEOSS and the particular characteristics of it as a system to identify the ways to reconcile the vast possibilities it provides through sharing of data from various sources and jurisdictions on the one hand, and the restrictions on the use of the shared resources on the other. On a more general level the paper seeks to draw attention to the obstacles and potential regulatory solutions for sharing factual or research data for the purposes that go beyond research and education.