Projects

Funded Research Projects

DFG Project

Project Duration: October 2015 - September 2021

The DFG-funded Research Training Group (Graduate School) “User-Centred Social Media (UCSM)” aims at developing new models and methods for analyzing, designing and evaluating social media from a user perspective. The main research fields in the RTG are modelling and understanding user behavior, social media engineering, and social media analytics. The Interdisciplinary RTG brings together researchers from computer science and psychology at the Department of Computer Science and Applied Cognitive Science of the University of Duisburg-Essen.

> Link to the project page

Open Source Projects

A transparent Recommendation and Interest Model Application - RIMA

This RIMA application provides on-demand personalized explanations with varying levels of detail, where we investigated this approach's effective as explanations to meet the needs and preferences of different users.

As a first step, we focus on recommending tweets and Twitter users and leveraging explanatory visualizations to provide insights into the recommendation process. Our next aim is to recommend publications following the same approach along with providing different intelligibility interactions

> Link to the project page

> Link to the project on GitHub

Open Learning Analytics Platform - OpenLAP

The Open Learning Analytics Platform (OpenLAP) provides a detailed technical open learning analytics (OLA) architecture with a concrete implementation of all its components, seamlessly integrated in a platform. It encompasses different stakeholders associated through a common interest in learning analytics but with diverse needs and objectives, a wide range of data coming from various learning environments and contexts, as well as multiple infrastructures and methods that enable to draw value from data in order to gain insight into learning processes.

OpenLAP follows a user-centric approach to engage end users in flexible definition and dynamic generation of indicators. To meet the requirements of diverse users, OpenLAP provides a modular and extensible architecture that allows the easy integration of new analytics modules, analytics methods, and visualization techniques.

> Link to the project page

> Link to the project on GitHub

CourseMapper

CourseMapper is a mind map-based collaborative course annotation and analytics platform that fosters collaboration and interaction around pdf/video learning materials, supported by visual learning analytics.  CourseMapper follows a learner-centered and networked learning approach, driven by the Learning as a Network (LaaN) theory.

Learners can use CourseMapper to collaboratively organize learning materials as a mind-map, share related learning resources, collaboratively discuss and annotate pdf and video learning materials. Further, CourseMapper provides different statistical and visual analytics widgets (e.g heatmaps and annotation maps) to support monitoring, awareness, self-reflection, motivation, feedback, and recommendation.

> Link to the project page

> Link to the project on GitHub