Title
New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine
Abstract
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is costly in time and resources, which limits the amount ...
Year
DOI
Venue
2021
10.1109/TLT.2021.3123266
IEEE Transactions on Learning Technologies
Keywords
DocType
Volume
Labeling,Machine learning,Manuals,Education,Tools,Software,Reliability
Journal
14
Issue
ISSN
Citations 
5
1939-1382
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Shay A. Geller100.34
Ya'akov (Kobi) Gal250144.49
Avi Segal300.34
Kamali Sripathi400.34
Hyunsoo G. Kim500.34
Marc T. Facciotti600.34
Michele Igo700.34
Nicholas Hoernle800.34
David R. Karger9193672233.64