Title
Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration
Abstract
Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of students solved complex math problems while data wer...
Year
DOI
Venue
2018
10.1109/TLT.2017.2704099
IEEE Transactions on Learning Technologies
Keywords
Field
DocType
Collaboration,Speech,Detectors,Feature extraction,Standards,Cognition,Data mining
Interactivity,Data collection,Collaborative learning,Gesture,Computer science,Coding (social sciences),Human–computer interaction,Cooperative learning,User interface,Multimedia,Educational data mining
Journal
Volume
Issue
ISSN
11
2
1939-1382
Citations 
PageRank 
References 
2
0.42
26
Authors
2
Name
Order
Citations
PageRank
Sree Aurovindh Viswanathan131.11
Kurt VanLehn22352417.44