Learners with Disabilities - Revision history

Shruti at 01:13, 29 June 2023

2023-06-29T01:13:48Z

@@ Line 1: / Line 1: @@
-Permodo et al (2023) [https://arxiv.org/abs/2304.06205 pdf]
+ 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
 * 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)
@@ Line 16: / Line 8: @@
 * 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.

Shruti at 00:36, 29 June 2023

2023-06-29T00:36:17Z

← Older revision		Revision as of 20:36, 28 June 2023
Line 4:		Line 4:
	* Prediction is more accurate for students with Disabilities than students without Disabilities		* Prediction is more accurate for students with Disabilities than students without Disabilities

	Loukina & Buzick (2017) [https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ets2.12170 pdf]

			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

Shruti at 00:35, 29 June 2023

2023-06-29T00:35:29Z

← Older revision		Revision as of 20:35, 28 June 2023
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			Permodo et al (2023) [https://arxiv.org/abs/2304.06205 pdf]

			* Paper discusses system that predicts probabilities of on-time graduation
			* Prediction is more accurate for students with Disabilities than students without Disabilities

	Loukina & Buzick (2017) [https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ets2.12170 pdf]		Loukina & Buzick (2017) [https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ets2.12170 pdf]

Ryan: Correction to description of Riazy et al article

2022-11-10T10:07:11Z

Correction to description of Riazy et al article

← Older revision		Revision as of 06:07, 10 November 2022
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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.

Seiyon at 08:12, 12 May 2022

2022-05-12T08:12:35Z

← Older revision		Revision as of 04:12, 12 May 2022
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	Loukina & Buzick (2017) [[https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ets2.12170 pdf]]		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
Line 5:		Line 5:


	Riazy et al. (2020) [[https://www.scitepress.org/Papers/2020/93241/93241.pdf pdf]]		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

Seiyon at 05:57, 17 February 2022

2022-02-17T05:57:43Z

← Older revision		Revision as of 01:57, 17 February 2022
Line 3:		Line 3:
	* 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

Seiyon at 18:09, 15 February 2022

2022-02-15T18:09:29Z

← Older revision		Revision as of 14:09, 15 February 2022
Line 2:		Line 2:

	* 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> of .57) than test takers who were given accommodations for documented disabilities (ρ<sup>^2</sup>~~2 of~~ .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)

Seiyon at 18:09, 15 February 2022

2022-02-15T18:09:08Z

← Older revision		Revision as of 14:09, 15 February 2022
Line 2:		Line 2:

	* 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^2 of .57) than test takers who were given accommodations for documented disabilities (ρ^2 of .73)		* SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ<sup>2</sup> of .57) than test takers who were given accommodations for documented disabilities (ρ<sup>^2</sup>2 of .73)

Seiyon: Created page with " 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 * SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ^2 of .57) than test takers who were given accommodations for documented disabilities (ρ^2 of .73)"

2022-02-15T18:08:34Z

Created page with " 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 * SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ^2 of .57) than test takers who were given accommodations for documented disabilities (ρ^2 of .73)"

New page

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
* SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ^2 of .57) than test takers who were given accommodations for documented disabilities (ρ^2 of .73)