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Showing 1 to 15 of 27 results Save | Export
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Zhengze Li; Hui Chen; Xin Gao – Education and Information Technologies, 2024
Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…
Descriptors: Predictor Variables, Elementary School Students, Electronic Learning, Supplementary Education
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Villena-Taranilla, Rafael; Cózar-Gutiérrez, Ramón; González-Calero, José Antonio; Diago, Pascual D. – Technology, Pedagogy and Education, 2023
Virtual Reality (VR) is an emerging technology with an increasing number of studies assessing its benefits in educational settings. However, there is a shortage of empirical studies aimed at evaluating the acceptance of this technology in primary education. The authors propose an extended version of the Technological Acceptance Model to examine…
Descriptors: Educational Technology, Computer Simulation, Electronic Learning, Elementary School Students
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Collado, Zaldy C.; Rodriguez, Vintchiel R.; Dueñas, Zaldy D., III – Education 3-13, 2023
This study examines essential factors that affect children' quality of response towards a non-traditional learning platform specifically, self-learning modules (SLMs) as Philippine public school's mode of service-learning delivery. Our objective is to determine the predictive power of access to internet, household food security, and parental…
Descriptors: COVID-19, Pandemics, Learning Modules, Foreign Countries
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Kivanç Bozkus – European Journal of Education, 2025
This study aimed to employ machine learning techniques to uncover the pivotal determinants influencing the reading proficiency of fourth-grade students across 65 regions, as participants in the PIRLS 2021 assessment. The primary objective was to discern and assess key factors at the student, family and school levels that predict high and low…
Descriptors: Artificial Intelligence, Reading Skills, Grade 4, Elementary School Students
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Hwang, Wu-Yuin; Hariyanti, Uun; Abdillah, Yan Amal; Chen, Holly S. L. – Educational Technology & Society, 2021
Geometry is essential for mathematics learning given that it is strongly related to our surroundings; however, few studies concentrated on using geometry in our daily life, especially using mobile devices with their sensors. Thus, this study proposed one app, Ubiquitous Geometry (UG), and explored its effects on learning angles and polygons in…
Descriptors: Geometry, Mathematics Instruction, Computer Oriented Programs, Educational Technology
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Hung, Jui-Long; Shelton, Brett E.; Yang, Juan; Du, Xu – IEEE Transactions on Learning Technologies, 2019
Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…
Descriptors: Prediction, Models, At Risk Students, Identification
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Gunzenhauser, Catherine; Enke, Susanne E.; Johann, Verena E.; Karbach, Julia; Saalbach, Henrik – AERA Open, 2021
The aim of the present study was to investigate the associations between parental and teacher support and elementary students' academic skills during the COVID-19 pandemic. Building on data of an ongoing longitudinal study, we studied the roles of children's (N = 63) academic skills before the first COVID-19 lockdown in Germany (March-June 2020)…
Descriptors: Foreign Countries, COVID-19, Pandemics, Elementary School Teachers
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Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V. – Journal of Science Education and Technology, 2017
Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through…
Descriptors: STEM Education, Minority Group Students, Student Attitudes, Disproportionate Representation
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Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
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Mitchell, Alison; Baron, Lauren; Macaruso, Paul – Journal of Educational Multimedia and Hypermedia, 2018
Screening and monitoring student reading progress can be costly and time consuming. Assessment embedded within the context of online instructional programs can capture ongoing student performance data while limiting testing time outside of instruction. This paper presents two studies that examined the validity of using performance measures from a…
Descriptors: Student Evaluation, Evaluation Methods, Performance Based Assessment, Educational Technology
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Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2017
Students of Southeast Asian Heritage Learning Chinese (SSAHLC) in Taiwan have frequently demonstrated difficulty with traditional Chinese (a graphical character) radical recognition due to their limited exposure to the written language form since childhood. In this study, we designed a Chinese radical learning game (CRLG), which adopted a drill…
Descriptors: Motivation, Electronic Learning, Self Efficacy, Academic Achievement
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Rose, Simon P.; Habgood, M. P. Jacob; Jay, Tim – Electronic Journal of e-Learning, 2017
Programming tools are being used in education to teach computer science to children as young as 5 years old. This research aims to explore young children's approaches to programming in two tools with contrasting programming interfaces, ScratchJr and Lightbot, and considers the impact of programming approaches on developing computational thinking.…
Descriptors: Young Children, Computer Science Education, Programming, Educational Games
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Crossley, Scott; Liu, Ran; McNamara, Danielle – Grantee Submission, 2017
A number of studies have demonstrated links between linguistic knowledge and performance in math. Studies examining these links in first language speakers of English have traditionally relied on correlational analyses between linguistic knowledge tests and standardized math tests. For second language (L2) speakers, the majority of studies have…
Descriptors: Predictor Variables, Mathematics Achievement, English (Second Language), Natural Language Processing
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Randolph, Justus J.; Kangas, Marjaana; Ruokamo, Heli; Hyvönen, Pirkko – Interactive Learning Environments, 2016
The purpose of this quasi-experimental study was to determine the degree that creative and playful learning (CPL) in a technology-enriched playground influences academic achievement of students and what factors are responsible for successes. The participants were 276 students from 12 elementary classrooms in the Netherlands and Finland. The…
Descriptors: Creativity, Play, Playgrounds, Playground Activities
Huddleston, Holly Henry – ProQuest LLC, 2017
The purpose of study 1 was to characterize energy expenditure (EE) during academic subjects and activities during an elementary school day. Children in 2nd-4th grades (N = 33) wore the SenseWear Armband (SWA) for five school days to measure EE. Teachers' logs were compared to SWA data to extract information about EE throughout the day. Energy…
Descriptors: Elementary School Students, Grade 2, Grade 3, Grade 4
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