Frontiers of affect-aware learning technologies

  • Calvo R
  • D'Mello S
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Abstract

Affect-aware technologies are moving the frontiers of how we understand,
support, and optimize student learning. The authors explore five
areas that exemplify cutting-edge research in the burgeoning field.
These include intelligent tutoring systems that detect and respond
to students' affective states and sometimes synthesize affect; the
strategic induction of confusion as a means to stimulate deep learning;
techniques to increase student engagement and reflection; systems
that support the development of prosocial behaviors, resilience,
and other aspects that contribute to students' well-being; and sample
projects that highlight how these new ideas can be taken from laboratories
into real-world classrooms.

Author-supplied keywords

  • advanced learning technologies
  • affect and learning
  • affective computing
  • human-computer interaction

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