Discovering emerging effects in Learning Networks with simulations Hendrik Drachsler

This document discusses using simulations to research emerging effects in learning networks. It outlines why simulations are useful given limitations of real learning networks. It also describes appropriate simulation frameworks, a methodology for designing simulations, and potential research focuses including exploring recommendation algorithms and measuring performance using learning theory and social network measures. Open questions are raised about how to observe and measure emergent effects, necessary statistical analysis, and integrating additional factors into simulations.