Results 181 to 190 of about 143,108 (197)

Algorithmic Bias in BERT for Response Accuracy Prediction: A Case Study for Investigating Population Validity

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun   +1 more
wiley   +1 more source

Perceptual effects of noise mitigation [PDF]

open access: yes, 2015
Botteldooren, Dick   +7 more
core   +1 more source

Addressing Bias in Spoken Language Systems Used in the Development and Implementation of Automated Child Language‐Based Assessment

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract This article addresses bias in Spoken Language Systems (SLS) that involve both Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) and reports experiments to improve the performance of SLS for automated language and literacy‐related assessments with students who are under served in the U.S. educational system.
Alison L. Bailey   +5 more
wiley   +1 more source

Feasibility and Usability of an Omnidirectional Treadmill-Based Virtual Reality Rehabilitation Game: A Mixed-Methods Feasibility Study.

open access: yesPhys Ther
Quigley A   +12 more
europepmc   +1 more source

Coping with racism: Qualitative profiles of adolescents' responses to racial‐ethnic discrimination

open access: yesJournal of Research on Adolescence, Volume 36, Issue 1, March 2026.
Abstract Adolescents employ diverse coping strategies to navigate racial‐ethnic discrimination, yet research often overlooks how these strategies co‐occur. Semi‐structured interviews were conducted with 33 African American, Latinx, and Asian American high school students living in the southeastern United States (55% girls, 45% boys; Mage = 16.03 ...
Valerie V. Salcido   +4 more
wiley   +1 more source

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