Which Answer is Best?: Predicting Accepted Answers in MOOC Forums
作者： Maximilian Jenders , Ralf Krestel , Felix Naumann
关键词:
摘要: Massive Open Online Courses (MOOCs) have grown in reach and importance over the last few years, enabling a vast userbase to enroll online courses. Besides watching videos, user participate discussion forums further their understanding of course material. As other community-based question-answering communities, many MOOC posting question can mark answer they are most satisfied with. In this paper, we present machine learning model that predicts accepted forum using historical data.
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