Name
Title | ||
|---|---|---|
Any problems? a wearable sensor-based platform for representational learning-analytics. |
Abstract | ||
|---|---|---|
We describe in this work a sensor-based learning platform which supports both the teacher and the learner during exercises. We use a combination of eye tracker, sensor pen and exercise texts to capture the progress of learners. The eye tracker retrieves information about the gaze, for example reading or scanning for key words; the sensor pen captures trends like number of words or the pressure applied to the paper. Combining this information, the platform should be used to indicate problems of the learner to the teacher. Besides presenting the data information to the teacher, we work on advancing the platform to an adaptive system, which could give individual feedback to the learners themselves according to their individual cognitive and affective requirements. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2968219.2971383 | UbiComp Adjunct |
Keywords | Field | DocType |
sensor supported eduction, sensor pen, eye tracker | Virtual learning environment,Data information,Learning analytics,Gaze,Computer science,Wearable computer,Adaptive system,Human–computer interaction,Eye tracking,Cognition,Multimedia | Conference |
Citations | PageRank | References |
1 | 0.34 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerald Pirkl | 1 | 37 | 5.77 |
| Peter Hevesi | 2 | 29 | 7.29 |
| Paul Lukowicz | 3 | 3287 | 376.79 |
| Pascal Klein | 4 | 4 | 1.16 |
| Carina Heisel | 5 | 3 | 1.47 |
| Sebastian Gröber | 6 | 1 | 0.34 |
| Jochen Kuhn | 7 | 22 | 8.28 |
| Bernhard Sick | 8 | 704 | 70.42 |