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The Social Computing Group​

At the intersection of computer science and social science, we conduct applied research into intelligent data-intensive systems and their application in social media, technology-enhanced learning, and knowledge management domains. Headed by Prof. Dr. Mohamed Amine Chatti, we design, implement, and evaluate new analytics-driven theories, methods and systems for tomorrow’s smart learning and working environments. We offer lectures, seminars, and practical courses in learning technologies, web technologies, data science and visual analytics, following a technology-enhanced, student-centered learning approach.

We're part of the Department of Computer Science and Applied Cognitive Science, Faculty of Engineering at the University of Duisburg-Essen, one of the top universities worldwide younger than 50 years.

News & Events

Starting summer semester 2019, we are offering a new lab course on Learning Analytics and Visual Analytics (LAVA) for students in Applied Computer Science, ISE Computer Engineering, and Komedia. The topic for this year's LAVA project is the systematic development of interactive visualizations of educational datasets.

Arham Muslim successfully defended his doctoral dissertation titled “OpenLAP: A User-Centered Open Learning Analytics Platform”, on Friday, December 14, 2018. Congratulations Dr. Muslim!

Starting winter semester 2018/2019, we are offering a new lecture on Learning Analytics for Master’s students in Applied Computer Science and ISE Computer Engineering. Learning Analytics is an emerging field at the intersection of data science and learning technologies.

We are happy to announce that our proposal in the frame of the DAAD Graduate School Scholarship Programme (GSSP) got positively evaluated. 4 full DAAD PhD scholarships (2 in 2019 and 2 in 2020) will be available for international graduate students. The PhD positions will be advertised soon here and on the User-Centred Social Media graduate school Website. More information about the application process is available on the DAAD GSSP Website.

Our article “A Modular and Extensible Framework for Open Learning Analytics” has been published in JLA (Volume 5, Issue 1), the premier international journal on Learning Analytics published by the Society for Learning Analytics Research (SoLAR). The full article can be found here. 

Past news & events