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Schachter, Rachel E.; Piasta, Shayne B. – Reading Research Quarterly, 2022
Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…
Descriptors: Preschool Teachers, Data Use, Knowledge Level, Teaching Methods
Emma Shanahan; Kristen L. McMaster; Britta Cook Bresina; Nicole M. McKevett; Seohyeon Choi; Erica S. Lembke – Journal of Learning Disabilities, 2023
Teacher-level factors are theoretically linked to student outcomes in data-based instruction (DBI; Lembke et al., 2018). Professional development and ongoing support can increase teachers' knowledge, skills, and beliefs related to DBI, as well as their instructional fidelity (McMaster et al., 2020). However, less is known about how each of these…
Descriptors: Prediction, Student Evaluation, Data Use, Writing Instruction
Pelaez, Kevin – ProQuest LLC, 2022
The emerging field of data science has brought attention to how we teach statistics and data science (Bargagliotti et al., 2020; Franklin et al., 2007) and prepare the next generation of statistics and data science teachers (Franklin et al., 2013). To realize the full potential of statistics and data science, researchers have also called for using…
Descriptors: Data Science, Statistics Education, Social Justice, Preservice Teachers
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
Kevin Hunt – ProQuest LLC, 2020
Federal and state accountability obligates public schools to improve standardized test scores for students in certain grades and in certain content areas from year to year. In the name of school improvement district and campus level administrators implement professional learning communities (PLCs) and set expectations for data informed instruction…
Descriptors: Elementary School Teachers, Communities of Practice, Data Use, Teacher Attitudes
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Jechun An; Emma Shanahan; Seohyeon Choi; Kristen L. McMaster – Journal of Learning Disabilities, 2025
The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed…
Descriptors: Predictor Variables, Faculty Development, Teaching Methods, COVID-19
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Lužanin, Zorana; Kaplar, Marija; Hrubik-Vulanovic, Tatjana – Journal of Baltic Science Education, 2022
The use of infographics for presenting data in the media and on the Internet has become a widespread phenomenon. This study examines how well undergraduates interpret the mean when presented in infographic, their attitudes towards the misuse of statistics, and their perceptions of their knowledge and use of statistics. The infographic was intended…
Descriptors: Undergraduate Students, STEM Education, Visual Aids, Cross Cultural Studies
Danielle Christine Wysenski – ProQuest LLC, 2021
English learners (ELs) make up a significant portion of the nation's K-12 student population who come from culturally and linguistically diverse backgrounds. ELs bring a wealth of diversity to the United States' education system; however, teachers' limited knowledge and practices that integrate ELs' cultural, linguistic, and prior educational…
Descriptors: Electronic Learning, Faculty Development, Reading Instruction, English Learners
Garcia-Velasquez, Erwin – ProQuest LLC, 2019
The purpose of this phenomenological study was to describe the characteristics of effective principals in high-poverty, high-performing urban elementary schools and how these align to the 21 Responsibilities identified by Marzano, Waters & McNulty (2005).The researcher was able to interview ten candidates that met the criteria for the study.…
Descriptors: Principals, Administrator Effectiveness, High Achievement, Academic Achievement
Payne, J. Scott; San Pedro, Sweet Z.; Moore, Raeal; Sanchez, Edgar I. – ACT, Inc., 2020
High-stakes, standardized testing plays an important role in the lives of many students as they apply to college and compete for scholarships. In states where college readiness measures, like the ACT® test, are used for school and district accountability, the ACT scores of all students, whether college-bound or not, are a top priority for school…
Descriptors: Test Preparation, Testing Programs, State Programs, School Districts
Crane, Eric W.; Makkonen, Reino – WestEd, 2019
For several years, WestEd's Measure to Learn and Improve (MLI) project team has kept California state policy leaders informed about the statewide implementation of the California Academic Standards in English language arts and mathematics, by summarizing and disseminating results from the RAND Corporation's annual American Educator Panel (AEP)…
Descriptors: Academic Standards, State Policy, Language Arts, Mathematics Instruction
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use