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January 2024

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Einladung Informatik Oberseminar Lubna Ali
by Bombelka, Angelika 05 Nov '24

05 Nov '24

+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Dienstag, 30. Januar 2024, 14.00 Uhr Ort: 9222, E3, Ahornstr. 55 und hybrid via Zoom (https://rwth.zoom-x.de/j/64937773189?pwd=eGttNUMzSElnQUVkc3FrYzBqK2F4UT09) Referent: Lubna Ali M.Sc. RWTH Lehr- und Forschungsgebiet Informatik 9 (Lerntechnologien) Thema: convOERter: A Technical Assistance Tool to Support Semi-Automatic Conversion of Images in Educational Materials as OER Abstract: Open Educational Resources (OER) are seen as an important element in the process of digitizing higher education teaching and as essential building blocks for openness in education. They can be defined as teaching, learning, and research materials that have been made openly available, shareable, and modifiable. OER include different types of resources such as full courses, textbooks, videos, presentations, tests, and images, which are usually published under the open Creative Commons licences. OER can play an important role in improving education by facilitating access to high quality digital educational materials. Accordingly, there is a steady increase among higher education institutions to participate in the so-called "open movement" in general and in utilizing OER in particular. Nevertheless, there are many challenges that still face the deployment of OER in the educational context. One of the main challenges is the production of new OER materials and converting already existing materials into OER, which could be viable by qualifying educators through training courses and/or supporting them with specific tools. There are many platforms and tools that support the creation of new OER content. However, to our knowledge, there are no tools that perform fully- or semi-automatic conversion of already existing educational materials. This identified gap was the basis for the design and implementation of the OER conversion tool (convOERter). The tool supports the user by semi-automatically converting educational materials containing images into OER-compliant materials. The main functionality of the tool is based on reading a file, extracting all images as well as all possible metadata, and substituting the extracted images with OER elements in a semi-automated way. The retrieved OER images are referenced and licenced properly according to the known TASLL rule. Finally, the entire file is automatically licenced under Creative Commons excluding specific elements from the entire licence such as logos. In order to evaluate the effectiveness of the tool in promoting the use of OER, a comprehensive user study was conducted with educators and OER enthusiastic at different universities. The study was accomplished by offering a series of OER evaluation workshops to compare the conversion efficiency of the tool with manual conversion. The results show that using the conversion tool improves the conversion process in terms of speed, license quality, and total efficiency. These results highlight that the tool can be a valuable addition to the community, especially for users less experienced with OER. As a future work, it is intended to further develop the tool and improve its functionality. Additionally, a long-term study can be conducted to assess the impact of the tool in facilitating and enhancing the production of OER on a larger scale. Es laden ein: die Dozentinnen und Dozenten der Informatik

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Einladung: Informatik-Oberseminar Herr Tim Niemueller
by Maaßen, Leany 19 Jan '24

19 Jan '24

+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Montag, 05.02.2024, 16:00-17:00 Uhr Ort: Raum 5053.2 (großer B-IT-Hörsaal)/Informatikzentrum, Geb. E2, Ahornstraße 55 Der Vortrag findet hybrid statt: https://rwth.zoom-x.de/j/67154623701?pwd=NnNIWWl0VnkzV0RiL3RyaWF3ZFlJQT09 Referent: Herr Tim Niemueller, Dipl.-Inform. LuFG Informatik 5 Thema: Planning and Execution for Mobile Robots Using Distributed Persistent Memory Abstract: Robots are expected to help humans in ever more capacities, in household en vironments as well as in industry. This demands increasing autonomy and resilience in order to decrease the need for human intervention and support to a minimum. Robotic systems are composed of a wide range of software components from different areas like perception, self-localization, navigation, decision making, and task execution. This easily leads to compartmentalization of the development, where the whole robot system becomes an afterthought when only best-in-class benchmarks are considered per component. Three particular problems motivated this thesis: First, data in robot systems is most often volatile, it briefly exists, is transferred, processed, used to make some decision, and eventually discarded, all within a short time window. If data is recorded, it is often done component-specific and not easily accessible. In this thesis, we tackle this problem by a document-oriented database that hooks into a robot system's middleware to collect as much data as possible. By using MongoDB as the data store and adding the ability to map middleware message into document structures, we gain query capabilities. We have used the database in several applications such as perception, performance and failure analysis, and action macro extraction. Second, the data exchange and coordination of multi-robot systems usually requires custom approaches. However, with the robot database already in place, using its distributed nature and augmenting it with triggers and computable elements it can fill this role as well, providing a unified robot memory. Third, robot task execution systems typically decouple domain modeling and execution flow specification, that is the specific details about an application the robot needs to know and the way it goes about choosing goals (which are typically few and human-defined). We have developed the CLIPS-based Executive that builds on Goal Reasoning to explicitly model the flow according to goals, of which there may be many and they can be considered and then selectively chosen for expansion, e.g., by invoking task planning, and then executed. Furthermore, by distributing the robot memory it can easily share data among a fleet of robots and aid in its coordination. Demonstrations of these systems in two mobile robot domains - domestic service robotics with a single robot and industrial factory logistics with groups of robots - show the applicability and versatility of the approaches developed. Es laden ein: die Dozentinnen und Dozenten der Informatik _______________________________ Leany Maaßen RWTH Aachen University Lehrstuhl Informatik 5, LuFG Informatik 5 Prof. Dr. Stefan Decker, Prof. Dr. Matthias Jarke, Prof. Gerhard Lakemeyer Ph.D., JunProf. Dr. Sandra Geisler Ahornstrasse 55 D-52074 Aachen Tel: 0241-80-21509 Fax: 0241-80-22321 E-Mail: maassen(a)dbis.rwth-aachen.de

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