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HHAIR project

The innovative research proposal HHAIR merges both ALL research lines and proposes to develop AI solutions to support young learners within learning technologies used at scale. Together with ALL’s innovative technologies, the established network and specialized expertise provide a solid foundation for the HHAIR project. To conclude, over the last seven years ALL has been established as a productive research group and demonstrated innovative and cutting‐edge research projects which impact on society. The technologies established in ALL and the innovative new approaches, in combination with the unique facilities and knowhow present at Radboud University and in my network, offer exciting and timely opportunities to explore how hybrid human-AI interaction could develop self-regulation in young learners.

Inge about her plans for the Jacobs Foundation fellowship period

During my fellowship, I will develop Hybrid Human-AI Regulation within existing learning technologies to advance learners’ Self-Regulated Learning (SRL) skills. Hybrid systems combining artificial and human intelligence hold great promise for training human skills. My work targets young learners (8-14) for whom self-regulated learning skills are critical in today’s society. Many of these learners learn with learning technologies every day in school to learn mathematics and languages. These technologies optimize learning based on learners’ performance data, but even the most sophisticated technologies fail to support self-regulated learning. In fact, most technologies take over control and monitoring from learners. My work aims to develop a learning technology that gradually transfers from AI-regulation to self-regulation. Learners will increasingly control their own learning while moving through different stages of hybrid regulation. This approach focusses on learner’s individual development and adapts to variability in learners’ SRL skills as detected by advanced AI techniques. This work is innovative in developing the first hybrid system to train human self-regulated learning skills with Artificial Intelligence.

How will my work change children’s and youth’s lives?

During my fellowship, I will change young learners lives by helping develop important self-regulated learning skills. This is important because:

  1. when learners regulate their own learning, they learn more and transfer what is learned to new contexts, the deep learning argument; and
  2. the ability to self-regulate is a key skill for successful lifelong learning, the future learning argument.

These skills are deemed essential for humans in the context of the upcoming AI era. Human intelligence will increasingly be augmented by artificial intelligence. Today’s young learners will be confronted with artificial intelligence solutions throughout their lives. Human agency and oversight are needed to take a leading role in these transitions and self-regulation skills are a critical human skill in these contexts.

For these reasons, there is strong consensus that technologies should not regulate learners, but learners should develop the self-regulated learning skills to regulate themselves.