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| Content Provider | ACM Digital Library |
|---|---|
| Author | Worsley, Marcelo Blikstein, Paulo |
| Abstract | In this paper, we describe multimodal learning analytics techniques for understanding and identifying expertise as students engage in a hands-on building activity. Our techniques leverage process-oriented data, and demonstrate how this temporal data can be used to study student learning. The proposed techniques introduce useful insights in how to segment and analyze gesture- and action-based generally, and may also be useful for other sources of process rich data. Using this approach we uncover new ideas about how experts engage in building activities. Finally, a primary objective of this work is to motivate additional research and development in the area of authentic, automated, process-oriented assessments. |
| Starting Page | 94 |
| Ending Page | 101 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450317856 |
| DOI | 10.1145/2460296.2460315 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-04-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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