Welcome to the Website of the Social Computing Group

News & Events

May 2020New Publication

Our chapter entitled "Open Learning Analytics: A Systematic Literature Review and Future Perspectives" has been published in the book "Artificial Intelligence Supported Educational Technologies" by Springer. A preprint version of the chapter can be found here.

April 2020CourseMapper in SS20

To support our online teaching in the summer semester 2020, we will use CourseMapper; 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.

November 2019XLA and ADORE Workshops at LAK2020

We're co-organizing two workshops in conjunction with the 10th International Learning Analytics and Knowledge (LAK) Conference. The workshop on Explainable Learning Analytics (XLA) aims at advancing research and practices around transparent insights, decisions, and actions in LA to improve the trustworthiness, impact, and adoption of LA systems at scale. The aim of the workshop on Addressing Drop-out Rates in Higher Education (ADORE) is to discuss challenges, issues, and best practices related to institutional LA and supporting student success. The paper submission deadline for both workshops is December 15, 2019.

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 January 6, 2020. 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.

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