21st. CENTURY EDUCATION-"TEACHERS OUT, LEARNERS IN" TEACHERS OUT LEARNERS IN BOOKLET | Page 89

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Analytics Of Emotions
Automated methods of eye tracking and facial recognition can analyze how students
learn, then respond differently to their emotional and cognitive states. Typical
cognitive aspects of learning include whether students have answered a question and
how they explain their knowledge. Non-cognitive aspects include whether a student is
frustrated, confused, or distracted.
More generally, students have mindsets (such as seeing their brain as fixed or
malleable), strategies (such as reflecting on learning, seeking help and planning how to
learn), and qualities of engagement (such as tenacity) which deeply affect how they
learn. For classroom teaching, a promising approach is to combine computer-based
systems for cognitive tutoring with the expertise of human teachers in responding to
students’ emotions and dispositions, so that teaching can become more responsive to
the whole learner.