The focus of this workshop series is on the different perspectives, in which personalization can be addressed in learning environments. Its aim is to share and discuss the new trends in current research on how user modeling and associated artificial intelligent techniques are able to contextualize and manage the increasing amount of information coming from the task at hand and its surrounding environment, in order to provide personalized learning support, which is sensitive to learners and their context. This covers many interrelated fields, including intelligent tutoring systems, learning management systems, personal learning environments, serious games, agent-based learning environments, and informal workplace learning settings. Moreover, we are especially interested in the enhanced sensitivity towards the management of vast data coming from learners’ interactions (like sensor detection of affect in context) and technological deployment (including web, mobiles, tablets, tabletops, wearable technology), and how can this wide range of situations and features impact on modeling the learner context and interaction. Furthermore, we aim to cover the need of personalized learning in various settings, ranging from formal to informal ones.
User Name : Claude
Posted 02-03-2017 on 14:24:38 AEDT