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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

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. 

Starting summer semester 2018, we are offering a new lecture on Advanced Web Technologies for Master’s students in Applied Computer Science and ISE Computer Engineering. Due to the focus on hands-on development, we have a limit of 30 students for this class.

We are happy to welcome a new research associate and PhD candidate in our group. Arham Muslim holds a Master’s degree in Computer Science from RWTH Aachen University where he worked as researcher and developer at the Center for Innovative Learning Technologies (CiL). Arham joined our team in February and will continue his excellent research in the area of user-centered learning analytics.

We currently have one open position for a Research Assistant in Data Science with a focus on Learning Analytics and Visual Analytics. Please send your application as one PDF file to Prof. Dr. Mohamed Amine Chatti. Application deadline is November 30th 2017.

An article from the UDE News about Prof. Chatti who joined the UDE family in October 2017 to conduct research on the emerging data science field of Learning Analytics.

Prof. Hiroaki Ogata and Dr. Brendan Flanagan from Kyoto University, Japan visited the UDE on October 9-10, 2017. They gave a talk on "Learning Analytics Research in the Context of E-books in Higher Education". Together with our UDE colleagues Prof. Ulrich Hoppe (COLLIDE), Prof. Michael Kerres and Darya Hayit (Learning Lab), we then had at the Learning Lab an interesting discussion on the potential of learning analytics in higher education.