Semantische Suche

To address these issues, this thesis presents an active learning framework for data streams that adapts to regional changes in the underlying data stream. Our idea is to enrich hierarchical data stream clustering with labeling statistics to measure the regionality and relevance of changes. Using such information in stream-based active learning leads to more effective labeling, resulting in faster change adaption.

Gamification enhances education by boosting motivation and fostering effective learning. This paper explores the link between game design elements and intrinsic motivation in education. Drawing from 24 scholarly papers, it identifies ten key game design elements: badges, points, leaderboards, virtual currency, progress bars, achievements, avatars, concept maps, storytelling, and feedback. To evaluate their impact, a survey using mockups was conducted. Results highlight the popularity of combinations like concept maps with progress bars and points with feedback. The study also uncovers correlations between preferred elements and learner characteristics. By uncovering these insights, the research advances gamification in education and guides tailored approaches for boosting student motivation.

In this thesis, we present approaches that allow system architects to extract legal specifications from artifacts created during system design and analyze them for GDPR compliance. We provide a model transformation between a DFD representation and a GDPR metamodel, which aims to model some of the complex requirements of the GDPR. The transformations work in both directions while keeping additional information to allow the architect to make changes to the system on either the architectural or legal side of the transformation. We provide an analysis tool that is able to identify GDPR violations on the GDPR metamodel, allowing analysis on both sides of the transformation.