Learning analytics and educational data mining: towards communication and collaboration
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Proceedings of the 14th ACM international conference on Multimodal interaction
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Expertise estimation based on simple multimodal features
Proceedings of the 15th ACM on International conference on multimodal interaction
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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.