The research experimental study will be implemented on a Moodle platform with two main aspects. A MRMT (Modeling and Role-Modeling theory or Regularity focus) embodied with SM (social media platform- Twitter). Both aspects are filtered and categorized based on weekly time period and content type. Learners have two options to interact with the module learning contents; a standard contents layout where learners normally follow and interact with it. And a plugin that present previous HSRL (highly learning self-regulated) learners’ activity summary on weekly and content type base. Similarly, the embodied SM filter tips from previous learners who have taken the course based on the same identical content’s timely period. For example; current learners on the third week of the course can view comments of previous learners on the SM when they were at the same week.
Both presented data are expandable or collapsed based on learners’ preferences. In addition, they are presented as a hypertext links which allow the viewing learners to use the information as a learning path (or learning activities guidance) in order to directly access the contents which previous HLSR learners have accessed. The hypertext links of HLSR enables fetching the current learners’ interaction with it which provides immediate feedback of the influence this method could provide.
In addition to the advantage of expanding the peer collaboration circle of learners by enabling them to communicate with more experienced learners (previous learners), the experimental of peer collaboration in the present research is contented into tips and short comments. The experimental embodied SM is theorized to increase the peer-collaboration effectiveness (by reducing the text length and filtering their communication on weekly base) and to increase knowledge sharing network (among previous and current learners).