Kategorie: ‘Theses’
Realisation and Evaluation of Serious Memorization Games in Higher Education
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.
Collaborative Immersive Learning Analytics
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.
Interactions between Virtual Agents and Smart Objects in Mixed Reality Learning Applications
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.
Web Frontend for exchange of NFT artwork
The aim of this thesis is to build a web frontend to browse, mint and exchange NFT (nonfungible token, standard ERC-721) based transactions.
Detection of malicious social bots in online social networks using Artificial Immune Systems
Online social networks (OSNs) have become one of the main types of online applications enabling the exchange of information between a large number of users, which, however, at the same time raises new security and privacy concerns. Unexpectedly for many users, automated accounts, known as social bots, are increasingly contributing to the information distribution process. Artificial immune systems (AIS) use concepts and algorithms inspired by human immune system theory. AIS is able to adapt to the changing nature and behavior patterns of malicious social bots.
Mixed Reality Tour Guide for Knowledge Graphs
Integrating mixed reality (MR) with knowledge graphs offers a transformative approach in an era where education is becoming increasingly personalized and interactive. Visualizing knowledge through graphs and providing an immersive experience allows learners to shape their educational spaces and engage with information in new, dynamic ways.
Integrating the Interaction Flow Modeling Language Into The Community Application Editor
Research in the domain of model-driven Web engineering is mostly targeted at professional Web developers. But recent developments in Web engineering techniques more and more bear the potential to include also non-technical stakeholders into the conceptual modeling of Web applications. This new approach of integrating a complete community into the modeling process bears new challenges that are subject to research.
Utilize Chat Interfaces for Social Bot Creation
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).
Gamification of Habit Forming in Distance Education
Recent developments show a rise in popularity of Learning Management Systems in an increasingly digital teaching enviroment. However, students can encounter difficulties with sustained motivation without extrinsic influences like communicating with peers. The application of gamification principles to the digital learning process provides motivating factors for students to aid their learning process. Participation in educational courses is a process often spanning many weeks, so a habit-based approach to learning seems prudent.
Affective Learning Recommendation Bot
Recommending which resource to chose next to maximise learning effect based on sentiment and intent detection