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PD Dr. Ralf Klamma, AOR - Theses


Master, Bachelor
Building a MediaBase for Computer Science Education - Open
Supervised by PD Dr. Ralf Klamma, AOR
Computer Science Education (CSE) is targeting at formal learning on all institutional levels. It is an important topic for developing 21st century skills and building future talent pools for research and workforces. It is also extremely important to track utterances of the related educational and computer science communities for detecting weak signals.
Master
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
Mobile Edge Cloud Computing - Offloading strategies - Open
Supervised by PD Dr. Ralf Klamma, AOR
Mobile edge cloud computing provides a platform to accommodate the offloaded traffic workload generated by mobile devices. It can significantly reduce the access delay for mobile application users. However, the high user mobility brings significant challenges to the service provisioning for mobile users, especially for the delay-sensitive mobile applications. We want to research how to update the service provisioning solution for a given community of mobile users. Therefore, we compare current offloading strategies, information structures based on peer-to-peer in combination with cloud computing and client-side solutions using advanced Web protocols like WebRTC.
Bachelor, Master
Social Recommender Systems for Professional Communities - Open
Supervised by PD Dr. Ralf Klamma, AOR
This thesis aims to develop social recommender system service for Open Source Software (OSS) Communities.
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.
Bachelor, Master
A Cognitive Modeling-Based Architecture for Realistic Agents in Mixed Reality - Running
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 Social Bot Success Model - Running
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. The goal of this study is to discover success factors that make the use of a (chat)bot successful.
Bachelor
Affective learning recommendation bot - Running
Recommending which resource to chose next to maximise learning effect based on sentiment and intent detection
Bachelor
Agent-Object Interactions in Mixed Reality Learning Applications - Running
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Mixed reality agents have a large potential for mixed reality learning applications, e.g. by providing a natural user interface to a chatbot or as a tutor who can demonstrate practical actions and guide the user through a complex environment. When creating such a virtual agent, one challenge concerns the scalability of interactions with the environment. The virtual agent must be able to interact with a large variety of different objects that can be both virtual but also real in the case of augmented reality. Hence, a consistent data description language and a decision-making architecture are required, so that the agent can understand the possible interaction affordances in the environment. Previous approaches from game development e.g. include "smart objects" in the Sims franchise which provide such distributed world knowledge.
Master
Building an Universal Community Success Awareness Gamifier - Running
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Dr. István Koren
Every community application can be gamitfied.
Person Publications

Benedikt Hensen, Ralf Klamma

VIAProMa: An Agile Project Management Framework for Mixed Reality

8th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2021

Will Guest, Fridolin Wild, Abbas Jafari, Mikhail Fominykh, Ralf Klamma, Benedikt Hensen, Rob Hillman, John Murphy, Alex Shubin

Learning in the Real World using Augmented Reality and Wearable Technology

The Envisioning Report for Empowering Universities

Alexander Neumann, Tamar Arndt, Laura Köbis, Roy Meissner, Anne Martin, Peter de Lange, Norbert Pengel, Ralf Klamma, Heinz-Werner Wollersheim

Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in Higher Education

Frontiers in Artificial Intelligence

More publications…