Bayesian belief network approach for analysis of intercultural collaboration in virtual communities using social capital theory

Authors:
Ben K. Daniel;Gordon I. McCalla;Richard A. Schwier
Affiliations:
ARIES Research Group, Department of Computer Science, University of Saskatchewan, Saskatchewan, Canada and Virtual Learning Community Research Laboratory, Educational Communications and Technology ...;ARIES Research Group, Department of Computer Science, University of Saskatchewan, Saskatchewan, Canada;Virtual Learning Community Research Laboratory, Educational Communications and Technology, University of Saskatchewan, Saskatchewan, Canada
Venue:
IWIC'07 Proceedings of the 1st international conference on Intercultural collaboration
Year:
2007

Citing 10
Cited 0

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Virtuality

Communications of the ACM
Effects of awareness support on groupware usability

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing an emergent culture of negotiation in collaborative virtual communities: the case of the DomeCityMOO

ACM SIGGROUP Bulletin
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction

IEEE Transactions on Knowledge and Data Engineering
A Process Model for Building Social Capital in Virtual Learning Communities

ICCE '02 Proceedings of the International Conference on Computers in Education
Representational Support for Collaborative Inquiry

HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
De-Lurking in Virtual Communities: A Social Communication Network Approach to Measuring the Effects of Social and Cultural Capital

HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
A Bayesian computational model of social capital in virtual communities

Communities and technologies
Mining Data and Modelling Social Capital in Virtual Learning Communities

Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a Bayesian belief network approach using social capital theory as a means for addressing issues that are critical to intercultural collaboration learning in virtual communities. Our work has two contributions; first, we present a computational approach that can be used for understanding social capital and intercultural factors critical to the design of virtual communities. Second, using evidence-based scenarios, we show how the Bayesian model can be tuned over time as knowledge about the system grows.