Sensors allow us to gain insight into emotional states and motor processes that are invisible to outsiders. Does a person feel comfortable in a learning situation or does the learning environment induce stress? Is the task set too difficult? In order to be able to measure such states, the Immersive Quantified Learning Lab (iQL) makes use of a variety of sensors.
The Immersive Quantified Learning Lab (iQL) tests potentials of AI for digital education and new research approaches for interactive teaching and learning methods. The iQL offers a cyber-physical learning environment with interactive communication media.
Teaching-learning content, cognitive behavior, emotional states and motor activity are recorded synchronously from sensors. This allows us to analyze individual preferences, model teaching-learning processes, and optimize teaching-learning concepts.
We combine deep learning methods with intelligent analytics to provide individual learning support for every age group.
In this way, we create learning worlds that reduce cognitive load and increase efficiency.
The Immersive Quantified Learning Lab (iQL) features the latest sensor technologies:
The iQL demonstrates how these sensor technologies can be used in learning environments and work scenarios to measure the cognitive state of subjects.
Dr. Nicolas Großmann
Phone: +49 631 20575 5304
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Research Department Smart Data & Knowledge Services
Trippstadter Str. 122