Phantom3D - VR Experiments and Assessment for Students
The Phantom3D project is dedicated to increased engagement and deeper understanding in large-scale physics courses; in collaboration with the GEAR Group from ISDS and the Institute of Solid State Physics. It combines the highly immersive physics laboratory Maroon with the flexible assessment and guidance system Antares. The main idea is that students improve their understanding of three-dimensional physics problems through virtual experiments and receive immediate feedback, providing support and continuous motivation.
VISDAT - Visual Analytics for Promoting Digital and Scientific Literacy
The VISDAT project aims at stimulating school children’s interest and motivation in dealing with natural science topics and at supporting competence development in scientific and digital literacy. The core idea of the project is to pursue the application of basic data science in dealing with natural science research questions.
Provenance - Providing Verification Assistance for New Content
Disinformation and low-quality content undermine the digital ecosystem and contribute to the instability of societies across the world. To address this multifaceted problem, the Provenance project is developing a new verification-based warning system for disinformation. The aim is to improve the information environment by building immunity to low quality content while fostering values of trust and openness.
VRSchool - VR Experiences for Schools
VR learning environment for learning and better understanding physics concepts (mechanics, electrostatic and dynamic phenomena) for secondary schools and technical colleges in Austria. Learning experiences are based on Maroon, in collaboration with the GEAR Group from ISDS.
J.UCS - Journal of Universal Computer Science
Journal of Universal Computer Science (J.UCS) - is a high-quality electronic publication that deals with all aspects of computer science. J.UCS has been appearing monthly since 1995 and is thus one of the oldest electronic journals with uninterrupted publication since its foundation. Beginning with 2020, license has changed to the creative commons CC BY-ND 4.0 licens
sCool - Video Game for Computational Skills
sCool is a motivating video game for teaching computational skills in a playful way. It consists of a concept-learning and a practical part. In the concept-learning part players explore a hostile planet, defeat enemies, and collect disks. In this way they learn basic concepts in computer science. The learned concepts are applied in the practical part by controlling a robot on a playing field using the Python programming language.
AI 4 Reporters - create AI-driven Wire Service for Statehouse Coverage
In this research the aim is to build a prototype news wire service where narrative content covering state legislatures is automatically generated from primary data sources, and can be distributed to local and regional news organizations for publication. This research is conducted in collaboration with Cal Poly Institute for Advanced Technology and Public Policy and University of Miami School of Communications.
LOOP Analytics – Object-oriented Cooding MOOC Learning Analytics
This research aims on motivation and learner behavior analytics as well as attrition and retentions prediction based on LOOP data, a MOOC about object-oriented programming. This research is conducted in collaboration with the Technical University Munich, TUM School of Education.
Gütl, Christian, Assoc.Prof. Dipl.-Ing. Dr.techn.
Head of CoDiS Lab; background and technical doctorate in computer science; “venia legendi” for applied computer science in 2009; his research interests include information search and retrieval, natural language processing, adaptive media technologies, social media and behavior analytics, e-education and e-assessment, mixed reality and game engineering for skill and knowledge acquisition.
Kaiser, Dana, cand.mag.
Editor of the Journal of Universal Computer Science; editorial activities concerning administration of submissions, review process, publication of articles, management of editorial board, web presentation of information pages and preparation of printed annual editions.
Nussbaumer, Alexander, Dipl.-Ing. Dr.techn.
Postdoctoral researcher. Doctorate in computer science and thirteen years of research experience in international projects in areas between psychology and computer science. Research interests include digital learning, digital literacy, decision support, visual analytics, human factors, and evaluation analytics.
Steiner-Stanitznig, Christina, Mag. Dr.rer.nat.
Postdoctoral researcher; diploma and doctoral degree in psychology; her research experience and interests include digital learning, competence and knowledge representation and modelling, digital literacy, didactic approaches and psycho-pedagogical adaptation, cognitive processes and biases, human-computer interaction and the evaluation of information systems.
Steinmaurer, Alexander, Mag.rer.nat
University project assistant and PhD student; teaching diploma in computer science; his research interests include computer science education and didactics, computational skill teaching, learning analytics, digital learning, and engaging learning technologies.
Krzysztof Pietroszek is a Polish/Canadian computer scientists and filmmaker. His research and art projects involve designing volumetric capture equipment, telemedicine technologies, persuasive virtual and augmented reality, interaction techniques for artificial reality continuum, applications of machine learning to animation and volumetric capture, and interactive narrative and montage in virtual, augmented, and mixed reality.
Aleksandar’s dissertation topic is 'Enhancing the Information Retrieval Processes using Network Analytics' which is a research collaboration with CERN. As part of his research, he investigates how the combination of network techniques and retrieval techniques impacts the information retrieval process, new ways of introducing additional context to data using network techniques and approaches for investigating network structures generated from retrieved documents using various network concepts to identify meaningful connections between documents or concepts.
His Thesis Title is 'User Navigation and Information Retrieval in Multidimensional Information Space for Push Notification Systems' which is a research collaboration with CERN. The goal of this doctoral dissertation is to research and prototype an information retrieval and user navigation approach and system that will be used by the CERN Push Notification System.
His dissertation topic is 'Devising Prototype Model for Assessing the Digital Competencies Based on DigComp Framework'. The research investigates methods and frameworks for assessing digital skills and competencies in order to devise an assessment model. Moreover, it focuses on integrating the digital skills framework for learning, teaching, and assessing digital skills with an adaptive learning strategy.
He is working on his thesis with the preliminary title 'Virtual Director - A Generic Concept and Computational Approach for Live Video Stream Adaptation and Personalisation'. Rene developed this concept in the realm of several European research projects and applied and evaluated it in use cases for group video communication, live event broadcast and theatre performance.
His dissertation topic is 'Integrated Assessment Strategies for 3D Learning Environments to Support Flexible, Open Learning Scenarios in the Classroom'. The research investigates flexible methods and concepts for automated behavior-based assessment, feedback and guidance in STEM-related explorative simulations and studies the effectiveness and applicability in different classroom settings.
André’s research topic is 'Semantic Information Retrieval for Multidimensional Publication and Patent Graphs'. This research is conducted in association with a web-based graph retrieval project developed at CERN. His work focuses on the development of semantic information retrieval methods that aid in finding the most relevant publications and patents and presenting them in the context of knowledge graphs.
Her dissertation topic is 'Creation and Usage of Patient Summaries in the Austrian Healthcare System'. This research investigates how the Austrian healthcare system can benefit from the exchange of structures patient summaries between healthcare providers. It focuses on the application of language processing algorithms and ontologies in order to improve the extraction of structured data from textual patient charts.
Alexander's dissertation topic is 'Design and Implementation of a Learning Framework for Coding in School Education'. The goal of this dissertation is to research methods and concepts for coding in school within an e-learning environment in order to best support beginners. It investigates the process of learning to program and what features are necessary to help students while learning to program.
Gütl, Christian, Assoc.Prof. Dipl.-Ing. Dr.techn.
+43 (316) 873 - 5604
Nussbaumer, Alexander, Dipl.-Ing. Dr.techn.
+43 (316) 873 - 30638
Steiner-Stanitznig, Christina, Mag. Dr. rer. nat.
+43 (316) 873 - 30640
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