Abstract— In this paper, we propose the use of data mining
methods to promote face to face interaction between members of
distance language learning communities. We develop a system
that collects data from different Moodle platforms and social
networks in order to extract detailed profiles of the members, as
well as an estimation of correlation among users. Moreover, we
describe an enhancement of the Moodle mobile application that
uses beacon indoor positioning technology in order to locate
proximate users in public places. We finally show how the
application assists a user to start a discussion with another user
by finding common interests and other matching characteristics
between the users.