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Mercer, Sterett H.; Cannon, Joanna E.; Squires, Bonita; Guo, Yue; Pinco, Ella – Canadian Journal of School Psychology, 2021
We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutoring through a community-based organization…
Descriptors: Curriculum Based Assessment, Automation, Scoring, Writing Tests
Mercer, Sterett H.; Cannon, Joanna E.; Squires, Bonita; Guo, Yue; Pinco, Ella – Grantee Submission, 2021
We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1-12 who received 1:1 academic tutoring through a community-based organization completed…
Descriptors: Curriculum Based Assessment, Automation, Scoring, Writing Tests
Sterett H. Mercer; Joanna E. Cannon – Grantee Submission, 2022
We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…
Descriptors: Elementary School Students, Secondary School Students, Learning Problems, Learning Disabilities
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Dirlikov, Benjamin; Younes, Laurent; Nebel, Mary Beth; Martinelli, Mary Katherine; Tiedemann, Alyssa Nicole; Koch, Carolyn A.; Fiorilli, Diana; Bastian, Amy J.; Denckla, Martha Bridge; Miller, Michael I.; Mostofsky, Stewart H. – Journal of Occupational Therapy, Schools & Early Intervention, 2017
This study presents construct validity for a novel automated morphometric and kinematic handwriting assessment, including (1) convergent validity, establishing reliability of automated measures with traditional manual-derived Minnesota Handwriting Assessment (MHA), and (2) discriminant validity, establishing that the automated methods distinguish…
Descriptors: Handwriting, Evaluation Methods, Children, Preadolescents