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 Viswanathan | 1 | 3 | 1.11 |
Kurt VanLehn | 2 | 2352 | 417.44 |