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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
Hurst, Sylvia; Griffity, Priscilla – Middle Grades Research Journal, 2015
The purpose of this research was to examine the effect of teacher read-aloud on adolescent learning in science and variation according to individual reading ability. The study gathered both quantitative and qualitative data for analysis from 2 treatment procedures. All seventh and eighth grade students participated in 2 consecutive units of study:…
Descriptors: Adolescent Attitudes, Adolescents, Reading Aloud to Others, Pretests Posttests
Goodwin, Amanda P.; Gilbert, Jennifer K.; Cho, Sun-Joo – Reading Research Quarterly, 2013
The current study uses a crossed random-effects item response model to simultaneously examine both reader and word characteristics and interactions between them that predict the reading of 39 morphologically complex words for 221 middle school students. Results suggest that a reader's ability to read a root word (e.g., "isolate") predicts that…
Descriptors: Item Response Theory, Morphemes, Semantics, Reading Comprehension
Lorence, Jon – Educational Research Quarterly, 2010
The Texas Assessment of Academic Skills (TAAS) test was the major source of data for the Texas educational accountability system from 1994 through 2002. Contrary to critics who claim that TAAS data are invalid and unreliable measures of student performance, structural equation analyses of TAAS reading data based on the 1994 Texas third grade…
Descriptors: Educational Assessment, High Stakes Tests, Reading Tests, Scores