AMADL 2016 - International Workshop on Affect, Meta-Affect, Data and Learning (AMADL 2016)

Emotions and affect play an important role in learning. There are indications that meta- affect ?knowledge about self-affect ? might also play a role. There have been various attempts to take them into account both during the design and during the deployment of AIED systems. The evidence for the consequential impact on learning is beginning to strengthen but the field has been mostly focusing on addressing only the complexities of affective and emotional recognition. This has largely slowed down progress on this area. Research needs to be carried out in order to better understand how to respond to what we detect and how to relate to the learner’s cognitive and meta-cognitive skills. One goal might be to design systems capable of recognizing, acknowledging, and responding to learners’ states with the aim of promoting those that are conducive to learning by means of tutorial tactics, feedback interventions, interface adaptations that take advantage of ambient intelligence, for instance. We therefore, need to deepen our knowledge of how emotions relate to issues such as cognition and context.