Qualified, self-regulated learners follow parts of a MOOC that helps them solve a problem

Understanding learning in Massive Open Online Courses is difficult, partly because methods and instruments for data collection are under-developed. Published work tends to be from data samples that are too small or skewed. Dropout rates in MOOCs mean that the learners who participate in studies show persistence, therefore samples are not representative. Even if this…