Learners with Disabilities

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

  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.