Learning analytics is a domain that has been constantly evolving throughout recent years due to the acknowledgement of its importance by those using intelligent data, learner-produced data, and analysis models to discover information and social connections for predicting and advising people's learning [1]. Learning analytics may be applied in a variety of different cases, but their role in understanding the multilingual requirements of users of learning portals is of an outstanding significance. As the adaptation of existing portals in multilingual environments is a cost- and time-consuming aspect of the development of a portal, the outcomes of learning analytics may provide the requirements on which further multilingual services of a portal will be built, ensuring their efficiency. This paper aims to identify and interpret the behavior of users from developing countries in a multilingual learning portal using the log files of the portal by applying the methodology defined in a previous work by Stoitsis et al. [2] The paper also aims to identify the aspects that should be studied by future related works by focusing on specific regions and countries that exhibit special interest for further adaptation of the portal to additional multilingual environments.