Collective intelligence utilization method based on implicit social network composition and evolution in the scope of personal learning environment

Abstract

Personal Learning Environment (PLE) is an emerging concept in learning technology field. PLE allows users aggregate content from distributed Web 2.0 services in one place and arrange it in a way that is convenient for a learner. Despite the fact, that PLE operates with social software and is a type of social media, social networking component is used very poorly. A new model of “networked knowledge” utilization in the scope of PLE is presented in this paper. The exclusive feature of this model is learners’ aggregated and generated data analysis and digital identity development based on both sources. Another exclusive feature is constant digital identity update, depending on constantly evolving learners’ implicit network. Such evolution ensures continuous implicit network update along with changing learners’ interests.