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 ...
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 ...
The goal of this thesis is to integrate the open-source framework ReaderBench into the Kubernetes cluster of the tech4comp project. The thesis should investigate related work in the domain of text mining, natural language processing and educational data mining. The developed extension should integrate into the existing project’s infrastructure and provide mentees and their mentors/tutors ...
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.
Modern collaborative development practices use agile principles to structure and organize the development process. The tool support for this includes source code management, with the large majority of development teams using Git. While collaboration patterns and access management of cooperation on source code is studied quite well, for MDWE (Model-Driven Web Engineering) processes, where collaboration ...
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 ...
The goal of this thesis is the development of a secure and user-friendly authentication system for las2peer. Conceptually, it should be build on / support the aforementioned existing features of las2peer, namely the blockchain-based verification system and the OpenId Connect standard. Technically, these two systems should be integrated within a modern Web authentication flow, supporting ...
Learning analytics aim at providing an insight into the student’s learning process such that individual performance can be measured and thus provide the basis for individual student support. This thesis will utilize and evaluate existing mentoring solutions and aggregate them in a state-of-the-art progressive Web application. The outcome of this thesis will be a newly ...
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize and evaluate a social bot framework with different community applications. It will also extend the framework to support two-way chat interfaces with the system via common chat applications (e.g. Slack).
A knowledge graph is a network of semantic relations to real-world entities.Within learning spaces, we can create these graphs automatically.The knowledge graph entities should also represent real-world objects visually in mixed reality environments.
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.
