Abstract | ||
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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 |
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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. Geller | 1 | 0 | 0.34 |
Ya'akov (Kobi) Gal | 2 | 501 | 44.49 |
Avi Segal | 3 | 0 | 0.34 |
Kamali Sripathi | 4 | 0 | 0.34 |
Hyunsoo G. Kim | 5 | 0 | 0.34 |
Marc T. Facciotti | 6 | 0 | 0.34 |
Michele Igo | 7 | 0 | 0.34 |
Nicholas Hoernle | 8 | 0 | 0.34 |
David R. Karger | 9 | 19367 | 2233.64 |