This paper evaluates the efficiency of Social Learning Networks (SLNs) by comparing user benefits to a benchmark of maximum achievable utility. Using a framework that defines the optimal SLN through utility maximization, the study analyzes four MOOC discussion forum datasets and finds that current SLNs operate at only 68% to 82% of their potential efficiency. It suggests that significant improvements can be achieved without compromising fairness in utility distribution, and discusses practical methods for optimizing SLNs, such as through curated news feeds.