Self-regulation is an invisible demanding mental skill that individuals must acquire to effectively function (cognitively, socially, emotionally) in the world. The problem is that the processes at the foundation of this regulation are invisible and thus very challenging to understand, support, and influence. While self-regulation of learning (SRL) is difficult for individuals, it is even more so when interacting with peers and in teams; co-regulation (CoRL) and socially shared regulation (SSRL) respectively. CLEVER aims to identify and support the regulation of complex learning process in groups in such a way that the individuals concomitantly also acquire those skills.
To do this, CLEVER targets trigger regulation moments in collaboration by analyzing input from various multimodal sources (i.e., 360°video, log data, heart rate, skin conductivity, self-report) making invisible mental cognitive, motivational, and emotional learning processes visible to both learners and teachers to allow them to regulate those processes to regulate them better and learn more efficiently.