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Nese, Joseph F. T.; Kamata, Akihito – Grantee Submission, 2020
Automatic speech recognition (ASR) can be used to score oral reading fuency (ORF) assessments to ameliorate current inadequacies (e.g., administration errors, high opportunity cost), and represents an important part of a larger solution to improve traditional ORF. But more research is needed on how ASR performs for diverse student groups. The…
Descriptors: Oral Reading, Reading Fluency, Accuracy, Student Diversity
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Nese, Joseph F. T.; Kahn, Josh; Kamata, Akihito – Grantee Submission, 2017
Despite prevalent use and practical application, the current and standard assessment of oral reading fluency (ORF) presents considerable limitations which reduces its validity in estimating growth and monitoring student progress, including: (a) high cost of implementation; (b) tenuous passage equivalence; and (c) bias, large standard error, and…
Descriptors: Automation, Speech, Recognition (Psychology), Scores
Tracey, Diane H.; Rhee, Jody; Abrantes, Anna – Online Submission, 2011
The goal of this research was to investigate the effects of teacher read-alouds when students use, versus do not use, student companion texts during the read-alouds. Both quantitative and qualitative research data were collected based on an experimental design which randomly assigned 168 low SES, primarily Hispanic, students to either listen-only…
Descriptors: Qualitative Research, Student Attitudes, Low Income, Statistical Analysis