For statistics, as in many other fields, the amount of open or editorial educational resources available on the web is colossal. It is an essential aid for students, especially in distance education, who often complete their courses with search on the Internet. However, this opportunity requires, both for learners and teachers, to possess many skills in order to navigate in these resources, such as the ability to search and sort information, and then to extract and exploit useful elements (Terras, Ramsay, & Boyle, 2013). However, several studies show that beyond the individual factors, the complexity of the domain is a determining factor(Cravalho, 2010; Onwuegbuzie, 2003). It is possible to help the learner by working on the conceptual framework of the domain with concept maps, for example(Chei-Chang Chiou, 2009; Meunier, 2017; Roberts, 1999; Sander, Meunier, & Bosc-Miné, 2004), but the advances in web technologies and human learning computer environments encourage us to go much further.