Ralf Krestel

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Q4APS 16

Which Answer is Best? Predicting Accepted Answers in MOOC Forums

Abstract

Massive Open Online Courses (MOOCs) have grown in reach and importance over the last few years, enabling a vast userbase to enroll in online courses. Besides watching videos, user participate in discussion forums to further their understanding of the course material. As in other community-based question-answering communities, in many MOOC forums a user posting a question can mark the answer they are most satisfied with. In this paper, we present a machine learning model that predicts this accepted answer to a forum question using historical forum data.

Full Paper

Q4APS16.pdf

Workshop Homepage

Q4APS 2016

BibTex Entry

@InProceedings{krestel-q4aps16, author = {Maximilian Jenders and Ralf Krestel and Felix Naumann}, title = {Which Answer is Best?: Predicting Accepted Answers in {MOOC} Forums}, booktitle = {Proceedings of the 25th International Conference on World Wide Web, Companion Volume}, location = {Montreal, Canada}, month = {April 11th}, pages = {679--684}, publisher = {{ACM}}, year = {2016}, isbn = {978-1-4503-4144-8} }