DBIS

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 with advanced feedback on the mentee’s reading comprehension.

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 happens on models instead of (only) source code, this is not yet the case. The thesis should investigate possibilities of versioning and access management for an existing MDWE platform.

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.

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 the WebAuthn standard and integrating Decentralized Identifiers. The resulting implementation should be fully compatible with existing authentication scenarios of las2peer and provide users with an optional extra layer of security.

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 developed mentoring cockpit that meets the requirements of a holistic mentoring support experience.

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.