Thread Structure Prediction for MOOC Discussion Forum
نویسندگان
چکیده
Discussion forums are an indispensable interactive component for Massive Open Online Courses (MOOC). However, the organization of current discussion forums is not well-designed. Trouble-shooting threads are valuable for both learners and instructors, but they are drowned out in the forums with huge amounts of threads. This work first built a labeled data set for trouble-shooting thread structure prediction by crowdsourcing and then proposed methods for trouble-shooting thread detection and thread structure prediction on the data set. The output of this work can be used to spot trouble-shooting threads and show them along with structure tags in MOOC discussion forums.
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