Difference between revisions of "Learners with Disabilities"
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* 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 | ||
* SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ<sup>2</sup> = .57) than test takers who were given accommodations for documented disabilities (ρ<sup>2</sup> = .73) | * SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ<sup>2</sup> = .57) than test takers who were given accommodations for documented disabilities (ρ<sup>2</sup> = .73) | ||
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) | |||
* 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 01:57, 17 February 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