The combination of human intelligence and artificial intelligence creates new hybrid systems. These hold great promise for the training of human skills. In this project, Inge Molenaar and Radboud University’s Adaptive Learning Lab will develop a ‘Hybrid Human-AI Regulation System’ (HHAIR system), which will be used for training pupils’ self-regulation skills when they learn with adaptive or self-adaptive learning tools.
The HHAIR system focuses on young pupils in the 10- to 14-year age range. For many of them, self-regulation skills are crucial in today’s society. Pupils in Dutch primary and secondary education are already using adaptive learning tools for arithmetic, mathematics and language education on a daily basis. These methods adapt the materials on the basis of the pupils’ learning performance, but even the most advanced learning tools cannot offer pupils the option of adapting the level of the teaching materials themselves.
Responsibility in learning
The HCAIR system first helps the pupils with regulation, then gradually transfers the responsibility for the regulation of the learning process to the pupil. The dashboards initially provide pupils with insight into how AI is influencing their learning process and will eventually provide them with insight into how they can monitor their own learning process. It is in this way that the HHAIR system optimises both the learning process and the development of self-regulation skills that are crucial to successful lifelong learning. This project will develop the first hybrid system that utilises artificial intelligence to train human self-regulation skills.