@inproceedings{ea99208c92a54aa8993f68a0614b043a,
title = "Humans and machines together: Improving characterization of large scale online discussions through dynamic interrelated post and thread categorization (DIPTiC)",
abstract = "This paper presents a thread characterization method that compares categorization results for thread starters and replies made by a previously-developed natural language model, using human judgment to resolve discrepancies. In an example application using the complete discussion forum data from a MOOC on medical statistics, the method increased the estimation of classification accuracy from .81 to .88 with the addition of a minimal number of human hours.",
keywords = "Discussion forum, Massive open online courses, Thread categorization",
author = "Yi Cui and Jin, {Wan Qi} and Wise, {Alyssa Friend}",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 4th Annual ACM Conference on Learning at Scale, L@S 2017 ; Conference date: 20-04-2017 Through 21-04-2017",
year = "2017",
month = apr,
day = "12",
doi = "10.1145/3051457.3053989",
language = "English (US)",
series = "L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale",
publisher = "Association for Computing Machinery, Inc",
pages = "217--219",
booktitle = "L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale",
}