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Publications

Found 12 results
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Conference Paper
W. Xing and Goggins, S., Learning analytics in outer space: a Hidden Naıve Bayes model for automatic student off-task behavior detection, in Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015.
Conference Proceedings
X. Xie, Huang, Y., Goggins, S. P., and Laffey, J., Exploring the Relationships between Learning Activities and Social Experience in Online Learning Environments, E-Learn 2010. Association for the Advancement of Computing in Education, Orlando, FL, 2010.
W. Xing, Wadholm, B., and Goggins, S., Learning Analytics in CSCL with a Focus on Assessment: An Exploratory Study of Activity Theory-Informed Cluster Analysis, Learning Analytics. ACM, Indianapolis, IN, 2014.PDF icon PDF (910.25 KB)
W. Xing, Kim, S. Mi, and Goggins, S., Modeling Performance in Asynchronous CSCL: An Exploration of Social Ability, Collective Efficacy and Social Interaction, Exploring the material conditions of learning: Proceedings of the computer supported collaborative learning (CSCL 2015). International Society of the Learning Sciences Gothenburg, Sweden, pp. 276–283, 2015.
Journal Article
S. Goggins and Xing, W., Building models explaining student participation behavior in asynchronous online discussion, Computers & Education, vol. 94, pp. 241–251, 2016.PDF icon PDF (615.56 KB)
W. Xing, Wadholm, R., Petakovic, E., and Goggins, S., Group Learning Assessment: Developing a Theory-Informed Analytics, Educational Technology and Society, 2014.PDF icon PDF (1.76 MB)
W. Xing, Wadholm, R., Petakovic, E., and Goggins, S., Group Learning Assessment: Developing a Theory-Informed Analytics, Journal of Educational Technology & Society, vol. 18, pp. 110–128, 2015.
S. Goggins, Xing, W., Chen, X., Chen, B., and Wadholm, R., Learning Analytics at “Small” Scale: Exploring A Complexity-Grounded Model for Assessment Automation, Journal of Universal Computer Science, no. Accepted, 2014.PDF icon PDF (1.87 MB)
S. Goggins, Xing, W., Chen, X., Chen, B., and Wadholm, B., Learning Analytics at" Small" Scale: Exploring a Complexity-Grounded Model for Assessment Automation, Journal of Universal Computer Science, vol. 21, pp. 66–92, 2015.
W. Xing, Petakovic, E., and Goggins, S., Participation-based Student Final Performance Prediction Model through Interpretable Genetic Programming: Integrating Learning Analytics, Educational Data Mining and Theory , Computers in Human Behavior, no. Accepted, 2014.PDF icon PDF (1.58 MB)
W. Xing, Guo, R., Petakovic, E., and Goggins, S., Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory, Computers in Human Behavior, vol. 47, pp. 168–181, 2015.
W. Xing and Goggins, S., Student Assessment in Small Groups: A Spectral Clustering Model, iConference 2015 Proceedings, 2015.