Difference between revisions of "Learners with Disabilities"

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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]
 
* 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]
 
* 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)
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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)
* Disparate impact was found for students with self-declared disabilities, with systematic inaccuracies in predictions for learners in this group.
* Disparate impact was found for students with self-declared disabilities, with systematic inaccuracies in predictions for learners in this group.
Permodo et al (2023) [https://www.researchgate.net/publication/370001437_Difficult_Lessons_on_Social_Prediction_from_Wisconsin_Public_Schools pdf]
* Paper discusses system that predicts probabilities of on-time graduation
* Prediction is more accurate for students with Disabilities than students without Disabilities

Latest revision as of 21:13, 28 June 2023

 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.


Permodo et al (2023) pdf

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