Difference between revisions of "Learners with Disabilities"
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Loukina & Buzick (2017) | Loukina & Buzick (2017) [https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ets2.12170 pdf] | ||
* a model (the SpeechRater) automatically scoring open-ended spoken responses for speakers with documented or suspected speech impairments | * a model (the SpeechRater) automatically scoring open-ended spoken responses for speakers with documented or suspected speech impairments | ||
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Riazy et al. (2020) | Riazy et al. (2020) [https://www.scitepress.org/Papers/2020/93241/93241.pdf pdf] | ||
* Models predicting course outcome of students in a virtual learning environment (VLE) | * Models predicting course outcome of students in a virtual learning environment (VLE) | ||
* Students with self-declared disability were predicted to pass the course with 16-23 percentage points in favor from the training and test set | * Students with self-declared disability were predicted to pass the course with 16-23 percentage points in favor from the training and test set | ||
Revision as of 04:12, 12 May 2022
Loukina & Buzick (2017) pdf
- a model (the SpeechRater) automatically scoring open-ended spoken responses for speakers with documented or suspected speech impairments
- SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ2 = .57) than test takers who were given accommodations for documented disabilities (ρ2 = .73)
Riazy et al. (2020) pdf
- Models predicting course outcome of students in a virtual learning environment (VLE)
- Students with self-declared disability were predicted to pass the course with 16-23 percentage points in favor from the training and test set