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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
Powell, Sarah R.; Berry, Katherine A.; Fall, Anna-Maria; Roberts, Greg; Fuchs, Lynn S.; Barnes, Marcia A. – Grantee Submission, 2021
The purpose of this study was to explore the paths by which word-problem intervention, with versus without embedded pre-algebraic reasoning instruction, improves word-problem performance. Students with mathematics difficulty (MD; n = 304) were randomly assigned to a business-as-usual condition or one of two variants of word-problem intervention.…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Problem Solving, Intervention
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation