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Sun-Joo Cho; Goodwin Amanda; Jorge Salas; Sophia Mueller – Grantee Submission, 2025
This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…
Descriptors: Item Response Theory, Artificial Intelligence, Statistical Analysis, Predictor Variables
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Hossein Kargar Behbahani; Sedigheh Karimpour – Education and Information Technologies, 2025
This study examined the effect of mobile-mediated dynamic assessment on reading comprehension and reading fluency skills of Iranian L2 learners. With 50 Iranian L2 learners, randomly assigned to the experimental and control groups, a pretest-posttest control group design was used. Whereas the control group received traditional instructor…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Comprehension
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Miao Li; Yueming Xi; Esther Geva; Rong Yan; Wei Zhao – Reading and Writing: An Interdisciplinary Journal, 2025
It has been suggested that the reading acceleration program (RAP) (Breznitz et al. in Nature Communications 4: 1486, 2013), in which participants are forced to read at a rate faster than their normal reading fluency rate, improves reading fluency and comprehension in alphabetic languages. However, its effectiveness has never been examined in…
Descriptors: Foreign Countries, Grade 5, Reading Instruction, English (Second Language)