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van Dijk, Wilhelmina; Pico, Danielle L.; Kaplan, Rachel; Contesse, Valentina; Lane, Holly B. – Computers in the Schools, 2022
The use of online literacy applications is proliferating in elementary classrooms. Using data generated by these applications is assumed to be helpful for teachers to identify struggling readers. Unfortunately, many teachers are unsure how to use and interpret the plethora of data from these apps. In this longitudinal study, we followed a cohort…
Descriptors: Kindergarten, Grade 1, Reading Difficulties, Data Use
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Johnson, Anna D.; Schochet, Owen N.; Castle, Sherri; Horm, Diane; Phillips, Deborah A. – AERA Open, 2022
Exposure to teachers and teaching-related activities is vital for young children's learning. When COVID-19 closed schools, teachers responded with a mix of live- and prerecorded lessons and one-on-one communication with students, which necessitated shifts in planning time. The current study identifies pre-COVID predictors of time teachers devoted…
Descriptors: Grade 1, Elementary School Teachers, COVID-19, Pandemics
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Özçakir, Bilal; Konca, Ahmet Sami; Arikan, Nihat – International Journal of Progressive Education, 2019
Early mathematics education bases a foundation of academic success in mathematics for higher grades. Studies show that introducing mathematical contents in preschool level is a strong predictor of success in mathematics for children during their progress in other school levels. Digital technologies can support children's learning mathematical…
Descriptors: Mathematics Education, Geometric Concepts, Concept Formation, Preschool Children
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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
Houston Independent School District, 2018
Vocabulary.com is an online adaptive game that teaches students words by systematic exposure to a variety of question types and activities and by understanding all the word meanings and nuances as they are learned. Vocabulary.com teaches 14,000 words using over 208,000 questions. It has been implemented with the Houston Independent School…
Descriptors: Educational Technology, Technology Uses in Education, Educational Games, Vocabulary Development
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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
Kloos, Heidi – Online Submission, 2019
A data set from an urban Midwestern school district was mined to explore how the technology-based reading enrichment known as Mindplay Virtual Reading Coach (MVRC) affects children's performance on the English Language Arts (ELA) Standards state-wide assessment (N = 6098 students from Grades 3 to 9). ELA data from two times points were available,…
Descriptors: Poverty, Urban Schools, Language Arts, Educational Technology
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Moyer-Packenham, Patricia S.; Baker, Joseph; Westenskow, Arla; Anderson-Pence, Katie L.; Shumway, Jessica F.; Jordan, Kerry E. – REDIMAT - Journal of Research in Mathematics Education, 2014
The purpose of this study was to determine variables that predict performance when virtual manipulatives are used for mathematics instruction. This study used a quasi-experimental design. This design was used to determine variables that predict student performance on tests of fraction knowledge for third- and fourth-grade students in two treatment…
Descriptors: Mathematics Instruction, Teaching Methods, Educational Technology, Technology Uses in Education
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Dejonckheere, Peter J. N.; Desoete, Annemie; Fonck, Nathalie; Roderiguez, Dave; Six, Leen; Vermeersch, Tine; Vermeulen, Lies – Electronic Journal of Research in Educational Psychology, 2014
Introduction: In the present study we used a metaphorical representation in order to stimulate the numerical competences of six-year-olds. It was expected that when properties of physical action are used for mathematical thinking or when abstract mathematical thinking is grounded in sensorimotor processes, learning gains should be more pronounced…
Descriptors: Mathematics Instruction, Number Concepts, Elementary School Mathematics, Numeracy