Recommending in Inclusive Lifelong Learning Scenarios: Identifying and Managing Runtime Situations

摘要

Supporting learners in inclusive lifelong learning scenarios requires a dynamic support that takes into account their learning needs and preferences. This research is focused on an open standard-based recommender system, covering the full life cycle of eLearning. The recommending system I am developing is supported by a multi-agent architecture and its ultimate goal is to improve the learning efficiency and the learners’ satisfaction during the execution of the course tasks.