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MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
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Tamara P. Tate; Young-Suk Grace Kim; Penelope Collins; Mark Warschauer; Carol Booth Olson – Written Communication, 2024
This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to…
Descriptors: Gender Differences, Reading Comprehension, Reading Fluency, Essays
Jian Cheng – Grantee Submission, 2018
We discuss the real-time scoring logic for a self-administered oral reading assessment on mobile devices (Moby.Read) to measure the three components of children's oral reading fluency skills: words correct per minute, expression and comprehension. Critical techniques that make the assessment real-time on-device are discussed in detail. We propose…
Descriptors: Scoring, Oral Reading, Reading Fluency, Reading Comprehension