Nowadays, the dissemination and exploitation of three-dimensional (3D) multi-user virtual worlds in higher education have been disclosed from their widespread acceptance as candidate learning platforms. However, it is still lacking a theoretical cybernetic macro-script to elaborate the coordination of multiple complex interactions among…

This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…