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PD Dr. Ralf Klamma, AOR - Theses


Bachelor, Master
A Cognitive Modeling-Based Architecture for Realistic Agents in Mixed Reality - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Courses in higher education, e.g. at universities, face a challenge regarding scalability. Ideally, every student should be able to contact a mentor to benefit from the mentor’s experience and to reach the learning goals. However, if the number of participants in a course rises, the limited resources of the institution are quickly exhausted. This leads to a high workload for academic staff and decreases the mentoring quality since there is less time for mentors to address the individual needs of the students. A solution to this problem is socio-technical support for mentoring processes which combines social processes like peer mentoring and technological processes, e.g. for student’s feedback. As a result, text-based chat bots were created which can answer student’s questions and give feedback about exercises. We would now like to enhance the interaction with such bots by upgrading them to Mixed Reality agents. Such agents are shown as an avatar in a Mixed Reality environment and can interact with virtual content, users and other bots. They form a natural user interface where students can talk to the agent to get advice and it can also make autonomous decisions to guide the learning process. If the agent cannot answer a question, it can call a human mentor to join the conversation. This system considerably lowers the workload of the mentors while improving the mentoring experience of the students.
Bachelor
A Mixed Reality-Based Card Game for Formal and Informal Education - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
A challenge of existing educational Mixed Reality applications concerns the difficult accessibility of technology for students. Many applications require expensive head-mounted displays or high-end smartphones which can only be tried by students at the university for a limited amount of time. However, Mixed Reality content can also be shown on a broader range of devices using marker-based technology. Here, a marker is used as an anchor to show a 3D model above it. If the marker is filmed by a smartphone, it can calculate the view angle and render the 3D model from the same perspective. A challenge of marker-based applications is to find a meaningful integration of the markers into the environment. The markers should be easily recognizable but also need to give the user an idea about the 3D model that they can show.
Master
Gamification of Serious Games with Recommendation Support - Open
The goal of this master thesis is to re-design and extend an existing serious games platform as microservices for a gamification framework already realized as microservice architecture.
Master
Measuring coherence accross media in learning environments - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Marc Spaniol
Multimedia content based indexing delivered a lot of models for the analysis of multimedia materials. In modern educational platforms, e.g. MOOCs and self-regulated learning platforms. In consequence, multimedia materials are produced by educational designers but also by the learners during their learning processes. Coherence is a semantic measure for the local and global connectivity of e.g. sentences, paragraphs, videos, slides among others. Computer linguistics has provided impressive results for measuring the quality of writing, e.g. for automatic essay scoring. To measure the coherence of multimedia materials many computational methods reaching from natural language processing to machine learning needs to be combined in a common coherence model. Goal of this master thesis is to co-develop a coherence model for cross-media coherence and to prototypically combine these computational methods for a webinar.
Master
Modeling and Analysis Support for Collaborative Industry 4.0 Scenarios - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Formal support for robot-human and human-human collaboration scenarios at industrial workplaces.
Master
Standard compliant WebXR Rendering of Mixed Reality Learning Experiences - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Fridolin Wild (Open University of the UK)
The goal of this master thesis is to build a reference implementation for a player that renders Augmented Reality Learning Experience Models (ARLEM, IEEE standard P1589-2020) using the WebXR device APIs. WebXR is a collection of standards that support rendering of 3D scenes in Augmented Reality on eyeglasses as well as handheld devices. ARLEM is tested on, for example, training sequences for astronauts.
Master, Bachelor
The Social Capital of Community Information Systems - Open
Supervised by PD Dr. Ralf Klamma, AOR
In this thesis we research the use of social capital in information systems in organizational and non-organizational contexts with the aim to conceptualize framework for community information systems.
Person Publications

Mikhail Fominykh, Fridolin Wild, Ralf Klamma, Mark Billinghurst, Lisandra S. Costiner, Eleni Mangina, Judith Molka-Danielsen, Ian Pollock, Marius Preda, Aljosa Smolic

Developing a Model Augmented Reality Curriculum

Michail Giannakos, Guttorm Sindre, Andrew Luxton-Reilly und Monica Divitini (Eds.): Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. ITiCSE '20: Innovation and Technology in Computer Science Education. Trondheim Norway, 15 06 2020 19 06 2020. [S.l.]: Association for Computing Machinery, S. 508–509.

Ralf Klamma, Peter de Lange, Alexander Neumann, Benedikt Hensen, Milos Kravcik, Xia Wang, Jakub Kuzilek

Scaling Mentoring Support with Distributed Artificial Intelligence

Lecture Notes in Computer Science Volume 12149

Benedikt Hensen, Ralf Klamma

Comparing Authoring Workflows and Learning Paths in Web & Mixed Reality Environments

2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)

More publications…