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Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms. (arXiv:2208.09600v1 [cs.LG])
Aug. 23, 2022, 1:10 a.m. | Vedant Sandeep Joshi, Sivanagaraja Tatinati, Yubo Wang
cs.LG updates on arXiv.org arxiv.org
Recently, e-learning platforms have grown as a place where students can post
doubts (as a snap taken with smart phones) and get them resolved in minutes.
However, the significant increase in the number of student-posted doubts with
high variance in quality on these platforms not only presents challenges for
teachers' navigation to address them but also increases the resolution time per
doubt. Both are not acceptable, as high doubt resolution time hinders the
students learning progress. This necessitates ways to …
More from arxiv.org / cs.LG updates on arXiv.org
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