Welcome to the Website of 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
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 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
Fakultät für Ingenieurwissenschaften
Fachgebiet Social Computing