Individual learning is seen as the key to a modern and inclusive society, but today's learning environments only consider the individual and adaptive learning processes required for this to a very limited extent. In order to be able to remedy these problems with the help of artificial intelligence methods, individual learning must first be made quantifiable. This is the topic of Immersive Quantified Learning.
We investigate how state-of-the-art sensor technology, such as eye tracking, thermal imaging or electrooculography, can be used to measure and record the cognitive states of learners during learning processes. Based on this, artificial intelligence methods are used to draw conclusions about individual preferences, emotional states or under/overload from this data. With the help of this data, learning/teaching processes will now be individually adapted to reduce cognitive load and optimize learning behavior. With the help of modern technology such as augmented and virtual reality, phenomena that are invisible to learners (such as electric current or thermal radiation) are also made vividly visible, immersion is increased and understanding of these phenomena is improved.
Together with the working group “Physics Teaching Research Group” of the University of Kaiserslautern (), DFKI Kaiserslautern operates the iQL – Immersive Quantified Learning Lab, where the corresponding concepts are directly explored in cooperation between computer scientists and didacticians and implemented in a classroom scenario.
To this end, we pursue the following topics, among others:
Dr. rer. nat. Nicolas Großmann
Phone: +49 631 20575 5304
Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Smart Data & Knowledge Services
Trippstadter Str. 122