DBIS

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.

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.

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).

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.

Recommending which resource to chose next to maximise learning effect based on sentiment and intent detection

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.

Learning Analytics Research has shown that learner facing dashboards support self-regulation. Learners gain a better understanding of their learning activities and plan further activities more conscious. This leads to higher motivation and achievement.

Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize bots in learning management systems (LMSs) and aims to assist students during their course.

Nowadays, agile development processes use cloud container orchestration platforms for continuous integration, deployment and delivery. Technologies like Docker and Kubernetes are used here as the state-of-the-art cloud-native infrastructures the software is deployed on. However, deployment of heterogeneous service environments, developed by multiple teams with different technical proficiency levels, is not a trivial task. The thesis should investigate possibilities of automatic Web-based deployment of microservices in a Kubernetes cluster.

Current advances in recommender systems allow for context-specific suggestions of relevant literature based on various parameters. As a contextual help in writing scientific papers, a citation recommender system should aid the student by providing a personalized suggestion of publications to consider for the Related Work section of a publication. Hence, for this project, we want to employ mentoring bots to provide suggestions of relevant scientific publications to students to support their literature research.