Welcome to the Website of the Social Computing Group

News & Events

October 2019Open Position in Data Science

We currently have one open position for a PhD Student in data science with a focus on human-centered learning analytics. Application deadline is November 25, 2019. If you are interested, please contact Prof. Dr. Mohamed Chatti.

March 2019Prof. Mohamed Chatti gives keynote at the 2019 Sino-German Symposium on AIED

Prof. Mohamed Chatti attended the 2019 Sino-German Symposium China-German Perspectives on AI-supported Educational Technologies, held on March 25-27, 2019 at the Central China Normal University (CCNU), Wuhan, China. He gave a keynote on our ongoing work on open learning analytics and our technical infrastructure OpenLAP. The symposium comprised 19 talks by speakers from Germany and China and was attended by more than 100 people from different Chinese universities. Implementing learning analytics at scale is on top of the strategic agenda of China’s top universities.

February 2019Mouadh Guesmi joins our team

We are happy to welcome a new researcher and PhD candidate in our group. With a master’s degree in Computer Science from the University of Kairouan, Tunisia, Mouadh Guesmi joined our team in February and will be working in the area of human-centered learning analytics with a focus on user modeling, personalization, and interactive recommendation. He received a DAAD PhD scholarship in the frame of the DAAD Graduate School Scholarship Programme (GSSP).

February 2019New publication

Our article "The PERLA Framework: Blending Personalization and Learning Analytics" has been published in IRRODL (Vol 20, No 1), one of the top journals on educational technology. The full article can be found here.

February 2019New Lab Course on Learning Analytics and Visual Analytics (LAVA)

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.

Where to find us

We are located in the 4th floor of building LE - Campus Duisburg
Forsthausweg 2
47057 Duisburg

Post Address

Universität Duisburg-Essen
Fakultät für Ingenieurwissenschaften
Abteilung INKO
Fachgebiet Social Computing
47048 Duisburg