Researchers are developing a system that can detect whether a student has written his thesis himself or has had another student write it for him.
For each busload of newly graduated students who are filling the Danish streets these days, an average of one student has cheated on his exam.
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The learning portals Matematikfessor, Lectio and Clio Online collaborate with researchers in DABAI to use data in our education system. They use machine learning to predict drop-out rates from high schools and to adapt tasks to the students’ individual levels. Professor Stephen Alstrup, Dept. of Computer Science, Copenhagen University explains in more detail in this video from the DABAI annual conference in March 2017.
Positioning in hospitals, adaptive teaching and data processing in the meat processing industry are examples of cases in the Danish Center for Big Data Analytics and Innovation – DABAI. Hear the reasons why Danish Crown, Systematic and EduLab participate in DABAI (in Danish).
As part of the MADE project, Jakob Langdal Jensen from the Alexandra Institute works with Grundfos on some of the technologies that enable the fourth industrial revolution.
Positioning in hospitals, adaptive instruction and data processing in the butchery industry were examples of cases presented at the kickoff meeting for DABAI on 27 May 2016.
With 117 million Danish kroner, the largest collaboration to date between private companies and the public sector will be launched with the aim of getting an overview of the massive amounts of data and how to make better use of them.
