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The analysis of support forum messages carried out in one of our online, post-graduate courses showed that nearly 62% of questions concerned issues already covered in material scattered across the Learning Management System and within course structure; collected student tracking data can help tutors to understand reasons why users seem to prefer to ask direct questions rather than browsing through provided information. Results of this study indicate that learners need a simpler way to look for answers and that enabling self-regulating processes may help reducing the work load of tutors by having a chatbot as information broker. This paper indicates planned work to enhance our LMS-integrated multiagent system in order to support our learners' needs.
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