Bodily Learning – seven illustrations

mboost Illustrations

This document reproduces the data analyses presented in Bühlmann and Hothorn (2007). For a description of the theory behind applications shown here we refer to the original manuscript. The results differ slightly due to technical changes or bugfixes in mboost that have been implemented after the paper was printed. Most important, gamboost uses penalized B-splines instead of smoothing splines as...

Mining Bodily Patterns of Affective Experience during Learning

We investigated 28 learners’ postural patterns associated with naturally occurring episodes of boredom, flow/engagement, confusion, frustration, and delight during a tutoring session with AutoTutor, a dialoguebased intelligent tutoring system. Training and validation data were collected in a learning session with AutoTutor, after which the learners’ affective states (i.e., emotions) were rated ...

Beamforming Illustrations

Seven Thinking Skills Essential for Learning

Seven Desirable Properties for Artificial Learning Systems

We propose seven desirable properties for artificial learning systems, namely: incrementality, nonmonotonicity, inconsistency and conflicting defaults handling, abstraction, self-organization, generalization, and computational tractability. This proposed set of properties is not claimed to be complete, nor does it imply that all properties must necessarily be present in all learning models. Rat...