Title
“Yes!”: using tutor and sensor data to predict moments of delight during instructional activities
Abstract
A long standing challenge for intelligent tutoring system (ITS) designers and educators alike is how to encourage students to take pleasure and interest in learning activities In this paper, we present findings from a user study involving students interacting with an ITS, focusing on when students express excitement, what we dub “yes!” moments These findings include an empirically-based user model that relies on both interaction and physiological sensor features to predict “yes!” events; here we describe this model, its validation, and initial indicators of its importance for understanding and fostering student interest.
Year
DOI
Venue
2010
10.1007/978-3-642-13470-8_16
UMAP
Keywords
Field
DocType
physiological sensor feature,instructional activity,long standing challenge,empirically-based user model,user study,intelligent tutoring system,student interest,sensor data,present finding,initial indicator,user model
TUTOR,Intelligent tutoring system,Computer science,Human–computer interaction,Pleasure,User modeling,Multimedia
Conference
Volume
ISSN
ISBN
6075
0302-9743
3-642-13469-6
Citations 
PageRank 
References 
14
0.67
18
Authors
3
Name
Order
Citations
PageRank
Kasia Muldner150040.22
Winslow Burleson299875.33
Kurt VanLehn32352417.44