Difference between revisions of "Learners with Disabilities"

Revision as of 06:07, 10 November 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)
Disparate impact was found for students with self-declared disabilities, with systematic inaccuracies in predictions for learners in this group.

Revision as of 04:12, 12 May 2022 (view source) Seiyon (talk \| contribs) Tag: Visual edit ← Older edit		Revision as of 06:07, 10 November 2022 (view source) Ryan (talk \| contribs) (Correction to description of Riazy et al article) Newer edit →
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	* 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~~		* Disparate impact was found for students with self-declared disabilities, with systematic inaccuracies in predictions for learners in this group.