Bayesian Networks to Predict Reputation in Virtual Learning Communities

This document describes the design and implementation of a Bayesian network to predict reputation in virtual learning communities. It discusses motivations for the work, provides definitions of key concepts like trust and reputation, outlines the design of the Bayesian network including factors like direct experience and reputation. It then details the implementation of a prototype in Moodle that allows users to provide positive or negative feedback on resources and activities. The prototype calculates reputation scores using the Bayesian network and aggregates user interactions. Finally, it evaluates the prototype using a real virtual learning community and compares the results to the original Bayesian network model.