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Jibulal Nair; Lini Gladwin; Greeshma Eliyan; Sherin Thomas – Educational Process: International Journal, 2025
Background/purpose: Low attendance rates in undergraduate (UG) programs represent a critical issue for higher education institutions (HEIs), as they directly impact both individual and institutional success. This study investigates the influence of moderating variables such as age and gender on the effect of student absenteeism on mathematics…
Descriptors: Attendance, Academic Achievement, Age Differences, Gender Differences
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Saarinen, Aino I. L.; Lipsanen, Jari; Hintsanen, Mirka; Huotilainen, Minna; Keltikangas-Järvinen, Liisa – International Journal of Educational Psychology, 2021
Recently, the use of information and communications technology (ICT) at school has been extensively increased in Finland. This study investigated whether the use of ICT at school is linked to students 'learning outcomes in Finland. We used the Finnish PISA 2015 data (N=5037). Cognitive learning outcomes (i.e. science, mathematics, reading,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Science Achievement
Oliver Wang – ProQuest LLC, 2023
Online education has grown rapidly in the United States and has accelerated since COVID-19. The prior history of online learning through online charter schools and online learning during COVID-19 failed to meet the needs of disadvantaged student populations, especially students of color and students with lower socioeconomic status. This study…
Descriptors: Electronic Learning, In Person Learning, Elementary School Students, Public Schools
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Hou Xie; Kaylin Ratner; Suzanne G. Fegley; Michael J. Nakkula – Child Development, 2025
This study investigated the development of educational aspirations (EAs) among Chinese youth (n = 2228, 48.61% female, 87.66% Han, M[subscript age_2010] = 11.48 years) for 6 years. Five latent classes of EA trajectories were identified. They varied greatly during early adolescence but converged around an associate degree in middle adolescence and…
Descriptors: Adolescents, Academic Aspiration, Age Differences, Academic Achievement
Pablo Araya Cortés; Cristian Macías Domínguez; Luis Pires Jiménez; Rosa Santero Sánchez; Ismael Sanz Labrador – Annenberg Institute for School Reform at Brown University, 2024
This article examines the impact of within-class age differences on educational outcomes, using students' birth months in Madrid's primary schools as a natural experiment. Employing a regression discontinuity design, we analyze third-grade students to investigate these age-related effects. Additionally, we explore whether early childhood education…
Descriptors: Foreign Countries, Grade 3, Age Differences, Early Childhood Education
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Hojnoski, Robin L.; Polignano, Joy C.; Caskie, Grace I. L. – Early Education and Development, 2023
Research Findings: This study examined age-based developmental trajectories of four key number sense (NS) skills within an accelerated longitudinal design. Using data from 408 preschoolers, ages 45 to 68 months, linear and latent basis growth curves were evaluated. Results indicated growth across NS skills was best represented as nonlinear for all…
Descriptors: Numeracy, Mathematics Skills, Preschool Children, Age Differences
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Wolfs, Zyxcban G.; Boshuizen, Henny P. A.; Brand-Gruwel, Saskia – Journal of Research in Music Education, 2023
In this study, we explored associations between perception of musical features (pitch, tonality, timing, timbre, and loudness), vocal abilities (singing accuracy, melodic achievement, and rhythmic performance), and cognitive levels (reading accuracy and comprehension, grammar, and math) among children ages 6 to 12. Musical perception abilities…
Descriptors: Predictor Variables, Singing, Ability, Elementary School Students
Pantoja, Nancy; Schaeffer, Marjorie W.; Rozek, Christopher S.; Beilock, Sian L.; Levine, Susan C. – Grantee Submission, 2020
Math anxiety negatively predicts young children's math achievement. While some researchers have suggested that math anxiety may stem from poor math ability, others have argued that math anxiety occurs at all levels of math ability. An important question is whether math anxiety predicts math achievement over and above foundational math skills. We…
Descriptors: Mathematics Anxiety, Mathematics Achievement, Mathematics Skills, Grade 1
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Powell, Sarah R.; Fluhler, Sally K. – Assessment for Effective Intervention, 2020
To understand mathematics, children must interpret mathematics symbols. In this study, we designed a brief assessment of mathematics symbols for children in the elementary grades. For each of 23 symbols, children identified the symbol, provided the meaning of the symbol, and used the symbol. We assessed 297 children in Grades 1, 3, and 5. Internal…
Descriptors: Symbols (Mathematics), Elementary School Mathematics, Mathematics Achievement, Grade 1
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Chloe Austerberry; Pasco Fearon; Angelica Ronald; Leslie D. Leve; Jody M. Ganiban; Misaki N. Natsuaki; Daniel S. Shaw; Jenae M. Neiderhiser; David Reiss – Child Development, 2024
This study examined gene-environment correlation (rGE) in intellectual and academic development in 561 U.S.-based adoptees (57% male; 56% non-Latinx White, 19% multiracial, 13% Black or African American, 11% Latinx) and their birth and adoptive parents between 2003 and 2017. Birth mother intellectual and academic performance predicted adoptive…
Descriptors: Genetic Disorders, Adoption, Mothers, Cognitive Ability
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Guohao He; Songshan Chen; Hongyi Lin; Aoxue Su – Educational Psychology Review, 2024
In the present meta-analysis, we systematically examined the association between students' initial level of metacognition and their academic achievement at least three months later. Using multilevel meta-analysis as well as meta-analytic structural equation modelling, we analysed data from 71,171 students provided by 28 independent studies. The…
Descriptors: Meta Analysis, Metacognition, Correlation, Academic Achievement
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Beverly D. Schwartz; Liam P. Pellerine; Nick W. Bray; Jonathon R. Fowles; Joyla A. Furlano; Anisa Morava; Taniya S. Nagpal; Myles W. O'Brien – Journal of American College Health, 2025
Objective: Test the hypothesis that smoking, fast-food consumption, and binge drinking were negatively associated with academic performance in Canadian undergraduate students. Participants: Undergraduate students across Canada [n = 411 (335[female gender symbol]) aged: 22 ± 4 years] completed a questionnaire regarding their lifestyle behaviors and…
Descriptors: Smoking, Alcohol Abuse, Academic Achievement, Undergraduate Students
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Angelos Rodafinos; Vassilis Barkoukis; Katerina Tzafilkou; Despoina Ourda; Anastasios A. Economides; Maria Perifanou – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to examine the influence of digital competences, technology acceptance, and individual factors (gender and educational level) on academic achievement in Physical Education and Sports Science (PESS). Background: Prior research has established a positive correlation between digital competences and performance, but the…
Descriptors: Technological Literacy, Academic Achievement, Physical Education, Athletics
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Pinquart, Martin; Block, Helena – International Journal of Developmental Science, 2020
The experiment analyzed reactions of 115 first- to fourth-graders after realizing that they performed worse than they expected in a computer game. Based on the VIOLEX model of expectation violation, we assessed immunization against achievement feedback, assimilation (striving to increase performance), and accommodation (willingness for expectation…
Descriptors: Coping, Expectation, Defense Mechanisms, Student Reaction
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Zhao, Ningning; Teng, Xichun; Li, Wenting; Li, Yanhua; Wang, Shuaiming; Wen, Hongbo; Yi, Mengya – ZDM: The International Journal on Mathematics Education, 2019
Metacognition is a powerful predictor for learning performance, and for problem-solving. But how metacognition works for cognitive strategies and learning performance is not clear. The present study was designed to explore how metacognition affected the cognition (learning strategies and problem solving strategies) and different kinds of learning…
Descriptors: Metacognition, Problem Solving, Psychometrics, Gender Differences
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