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Rick Ginsberg; Yong Zhao – Phi Delta Kappan, 2025
American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…
Descriptors: Literacy, Artificial Intelligence, Computer Software, Academic Achievement
Layes Smail; Gharaibeh Mahmoud; Djeribiai Adel – Reading Psychology, 2025
This study examined the independent contribution of morphological awareness and orthographic awareness in reading comprehension, controlling for working memory and reading fluency in Arabic-speaking children. Participants (N = 244) from grades four and five, were classified into typical comprehenders (n = 207) and poor comprehenders (n = 37). All…
Descriptors: Morphology (Languages), Orthographic Symbols, Reading Comprehension, Arabic
Weiqing Shi; Xin Jiang – Reading and Writing: An Interdisciplinary Journal, 2025
This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Reading Achievement
Guozhong Luo; Wen Li; Bingqing Gong; Yukun Wu – SAGE Open, 2025
Conceptual knowledge goal (CKG) is a typical component of outcome-based learning. However, the contribution of CKG to poor readers' reading comprehension development remains unclear. Following the suggestion of the Simple View of Reading theory for the poor reader category, the current study recruited 90 poor decoders (PD), 76 poor comprehenders…
Descriptors: Reading Instruction, Instructional Effectiveness, Outcome Based Education, Reading Difficulties