IA ANR-DFG-JST - Appel trilatéral ANR-DFG-JST en Intelligence Artificielle (IA) 2020

Learning Cyclotron – LeCycl

Submission summary

The aim of this project is to augment and amplify human intelligence by artificial intelligence. In particular, we propose and develop Learning Cyclotron (LeCycl), a framework which monitors and actuates their learning processes. The cyclotron of LeCycl is a framework in which learners acquire knowledge with the following three steps: perceive (e.g., reading a textbook), master (e.g., solving an exercise), and transfer (e.g., explaining to other learners). Behaviors of learners on each step are measured by sensors. From the sensor signals, we estimate cognitive/affective states
including also attention, interest, concentration, mental workload, and self-confidence. The estimated states will be utilized to select how to nudge learners. As the same as a cyclotron accelerates charged particles by a magnetic field, LeCycl circulates knowledge between learners.

Project coordination

Laurence Devillers (Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

OPU OSAKA PREFECTURE UNIVERSITY
TUK Technische Universität Kaiserslautern
LIMSI Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

Help of the ANR 254,115 euros
Beginning and duration of the scientific project: January 2021 - 36 Months

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