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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
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Kelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
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Qiang Cheng; Shaoan Zhang; Qingmin Shi; Jinkun Shen – Journal for STEM Education Research, 2025
Drawing on U.S. data from the Teaching and Learning International Survey (TALIS) 2018, this study first compared STEM and non-STEM teachers' self-efficacy in multicultural classrooms (TSMC), then identified the factors related to TSMC for each group of teachers, and lastly explored the similarities and differences among the factors. Results from…
Descriptors: STEM Education, Teacher Effectiveness, Self Efficacy, Student Diversity
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Anders Holm; Anders Hjorth-Trolle; Robert Andersen – Sociological Methods & Research, 2025
Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…
Descriptors: Elementary Education, Scores, Error of Measurement, Predictor Variables
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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
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Mark Feng Teng; Yachong Cui – Journal of Research in Reading, 2025
Background: Vocabulary knowledge (VK) and morphological awareness (MA) are crucial linguistic variables for reading comprehension. However, the extent to which MA subskills are intertwined with different facets of VK in their contributions to reading comprehensions, and how MA influences the reading abilities of English as a foreign language (EFL)…
Descriptors: Vocabulary Development, Morphology (Languages), Reading Comprehension, Second Language Learning
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Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level
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Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
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Jennifer C. Bullen; Sandy L. Birkeneder; Matthew C. Zajic; Lindsay Swain Lerro; Nancy McIntyre; Nicole Sparapani; Peter Mundy – Autism: The International Journal of Research and Practice, 2025
A recent study suggests that parent report on the Social Symptom and Prosocial scales of the Childhood Joint Attention Rating Scale provides useful information about differences in the social development of school-aged autistic children. The current study provides additional psychometric data on the Childhood Joint Attention Rating Scale regarding…
Descriptors: Autism Spectrum Disorders, Social Development, Child Development, Children
Dan Goldhaber; Stephanie Liddle – Center for Education Data & Research, 2025
The current literature on early predictors of postsecondary outcomes focuses almost exclusively on the relationship between postsecondary outcomes and students' academic achievements and experiences in middle and high school. These relationships are important, but policymakers and educators might get a more complete picture of how K12 relates to…
Descriptors: Predictor Variables, College Outcomes Assessment, Academic Achievement, Student Experience
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Ivar Bråten; Ymkje E. Haverkamp; Øistein Anmarkrud – Reading and Writing: An Interdisciplinary Journal, 2025
The deep cloze test was developed by Jensen and Elbro (Read Writ Interdiscip J 35(5):1221-1237, 2022. https://doi.org/10.1007/s11145-021-10230-w) to assess reading comprehension at the level of global situational understanding. In two independent studies, we examined potential contributors to students' scores on the deep cloze reading…
Descriptors: Cloze Procedure, Reading Comprehension, Reading Tests, Scores
Zeyu Xu; Ben Backes – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
Because of their open enrollment policies, community colleges serve large numbers of students whose K-12 education has left them unready to succeed in college-level courses. Colleges typically use test scores such as the ACT to place students into appropriate course levels. However, the use of test-based measures alone has been criticized as being…
Descriptors: Community Colleges, Career and Technical Education Schools, Career and Technical Education, Community College Students
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Liset Rouweler; Ben Maassen; Sanne Oud; Barry de Groot; Wim Tops – European Journal of Special Needs Education, 2025
Reading is one of the most important skills in higher education. Various students show problems with reading, which can lead to problems with text decoding, reading comprehension, or both. In this study, we investigate the L1 (Dutch) and L2 (English) reading comprehension performance of students with and without dyslexia. Participants were…
Descriptors: Foreign Countries, Native Language, Second Languages, Reading Comprehension
Joann L. Moore; Joyce Z. Schnieders – ACT Education Corp., 2025
This study investigated the value of ACT Composite scores and high school GPA (HSGPA) in predicting first-year college GPA (FYGPA) and degree completion of students with disabilities who took the ACT with accommodations and enrolled at a two-year or four-year public institution in a single state in the southern US. Descriptive analyses found that…
Descriptors: College Entrance Examinations, Scores, Grade Point Average, High School Students
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Laura L. Beaton – Journal of Educational Technology Systems, 2025
Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…
Descriptors: Formative Evaluation, Computer Assisted Testing, Tests, Student Evaluation
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