Classification techniques for assessing student collaboration in shared wiki spaces

Authors:
Chitrabharathi Ganapathy;Jeon-Hyung Kang;Erin Shaw;Jihie Kim
Affiliations:
Southern California, Information Sciences Institute, Marina del Rey, CA;Southern California, Information Sciences Institute, Marina del Rey, CA;Southern California, Information Sciences Institute, Marina del Rey, CA;Southern California, Information Sciences Institute, Marina del Rey, CA
Venue:
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Year:
2011

Citing 3
Cited 0

Latent dirichlet allocation

The Journal of Machine Learning Research
An Empirical Exploration of Using Wiki in an English as a Second Language Course

ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the case study of collaboration analysis in the context of an undergraduate student engineering project. Shared Wiki spaces used by students in collaborative project teams were analyzed and the paper presents new techniques, based on descriptive statistics and the Labeled Latent Dirichlet Allocation (LLDA) model for multi-label document classification, to assess quality of student work in shared wiki spaces. A link is shown between processes of collaboration, performance and work pace.