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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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PD Dr. Ralf Klamma, AOR - Theses

Bachelor, Master
Blockchain-based Verification of Learning Analytics Data - Open
The goal of this thesis is to make collected Learning Analytics data, extracted from various Learning Management Systems, traceable and verifiable by keeping a reference to the monitored data on the las2peer Blockchain. The thesis should investigate related work in the domain of educational usage of Blockchain technology. The developed extension should integrate into the existing project's infrastructure and provide learners and their mentors/tutors with a tool to explore when and what kind of data was collected. By improving this traceability, we hope to increase the trust in the data collection (and its usage) from both learners and mentors.
Chat Assessments with Social Bots - Open
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize chat interfaces, a social bot framework and learning management systems to conduct assessments for learning content of a lecture with the help of a social bot.
Collaborative Immersive Learning Analytics - Open
Supervised by PD Dr. Ralf Klamma, AOR
Our approach is a comprehensive and evolutionary sociotechnological learning analytics and design process leading to a flexible infrastructure where professional communities can co-create their wearable enhanced learning solution.
Component Crawler for Mixed Reality Projects - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
For mixed reality applications, developers usually choose a modular development approach where the application-logic is segmented into separate components which only realize one feature. In well-designed projects, the components are reusable in different contexts within the project but also outside of it. Additionally, code from these projects can be used to find examples how to use APIs or libraries. However, many elementary features of mixed reality applications are re-implemented in new projects, instead of leveraging components from existing open-source projects.
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.
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.
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.
Utilize Chat Interfaces for Social Bot Creation - Open
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize chat interfaces and a social bot framework to create social bots. It will also extend the framework to support various social bot types (e.g. chatbots, crawlers, transactional bots or informational bots).