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Showing 1 to 15 of 61 results Save | Export
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Francesca Patterson; Melina A. Kunar – Cognitive Research: Principles and Implications, 2024
Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems…
Descriptors: Cancer, Computer Use, Identification, Screening Tests
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Debarati Mukherjee; Supriya Bhavnani; Georgia Lockwood Estrin; Vaisnavi Rao; Jayashree Dasgupta; Hiba Irfan; Bhismadev Chakrabarti; Vikram Patel; Matthew K. Belmonte – Autism: The International Journal of Research and Practice, 2024
Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children's natural environments by non-specialists.…
Descriptors: Autism Spectrum Disorders, Young Children, Evaluation, Technology
Susan Barnes Porter – ProQuest LLC, 2022
The data from universal screeners must be valid and reliable in order to use it to make appropriate decisions about how best to allocate resources to support students who are at risk of not passing the state achievement test. The instruments used as part of universal screening must also have diagnostic accuracy. This study examined the diagnostic…
Descriptors: Screening Tests, Accuracy, Computer Assisted Testing, Achievement Tests
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Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
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Hurford, David P.; Wines, Autumn – Australian Journal of Learning Difficulties, 2022
The purpose of the present study was to examine the potential that parents could effectively administer an online dyslexia evaluation tool (ODET) to their children. To this end, four groups consisting of parents and trained staff were compared. Sixty-three children (36 females and 27 males) participated. The children in each group were assessed…
Descriptors: Test Reliability, Computer Assisted Testing, Dyslexia, Screening Tests
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Ka-Yan Fung; Kit-Yi Tang; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2024
Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…
Descriptors: Dyslexia, Children, Computer Software, Early Intervention
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Journal of Educational Measurement, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality. Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups. However, we argue that a more flexible…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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Branch, Fallon; Williams, K. Matthew; Santana, Isabella Noel; Hegdé, Jay – Cognitive Research: Principles and Implications, 2022
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28…
Descriptors: Radiology, Allied Health Personnel, Assistive Technology, Clinical Diagnosis
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Kathleen A. Paciga; Christina M. Cassano – AERA Open, 2024
Early literacy assessment has become commonplace in the preschool years, with phonological awareness constituting one component of emergent literacy targeted by such practices. This within-subjects experimental study examines the role of word familiarity on 93 dual language preschoolers' performance on phoneme-level awareness tasks in…
Descriptors: Emergent Literacy, Phonological Awareness, Bilingualism, Preschool Children
Greenwood, Charles R.; Higgins, Susan; McKenna, Meaghan; Buzhardt, Jay; Walker, Dale; Ai, Jun; Irvin, Dwight W.; Grasley-Boy, Nikki – Journal of Early Intervention, 2022
Universal screening and progress monitoring are evidence-based practices in early intervention/early childhood special education (EI/ECSE). Individual Growth and Development Indicators (IGDIs) for infants/toddlers are measures that programs can use for universal screening, progress monitoring, intervention decision-making, and accountability.…
Descriptors: Screening Tests, Progress Monitoring, Infants, Toddlers
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Sanders, Benjamin W.; Bedrick, Steven; Broder-Fingert, Sarabeth; Brown, Shannon A.; Dolata, Jill K.; Fombonne, Eric; Reeder, Julie A.; Rivas Vazquez, Luis Andres; Fuchu, Plyce; Morales, Yesenia; Zuckerman, Katharine E. – Autism: The International Journal of Research and Practice, 2023
Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child's likelihood of autism…
Descriptors: Screening Tests, Autism Spectrum Disorders, Computer Assisted Testing, Parent Attitudes
Indiana Department of Education, 2024
The Indiana Department of Education's (IDOE's) Accessibility and Accommodations Information for Statewide Assessments is intended for school-level personnel and decision-making teams as they prepare for and implement Indiana statewide assessments. Information is provided for school personnel as a reference to inform guidance on universal features,…
Descriptors: Standardized Tests, Testing Accommodations, Computer Assisted Testing, Students with Disabilities
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Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
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McNeely, Jennifer; Haley, Sean J.; Smith, Allison J.; Leonard, Noelle R.; Cleland, Charles M.; Ferdschneider, Marcy; Calderoni, Michele; Sleiter, Luke; Ciotoli, Carlo; Adam, Angéline – Journal of American College Health, 2019
Objective: To characterize the prevalence of tobacco, alcohol, and drug use and the acceptability of screening in university health centers. Participants: Five hundred and two consecutively recruited students presenting for primary care visits in February and August, 2015, in two health centers. Methods: Participants completed anonymous substance…
Descriptors: School Health Services, Screening Tests, Substance Abuse, Drinking
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