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Brooke Wilkins – Phi Delta Kappan, 2025
An efficient assessment cycle is a necessary component of early literacy instruction. To support student growth, educators must screen, diagnose, and monitor student progress. Diagnostic assessments provide critical information that can empower educators to address student needs. Using information from diagnostic assessments requires educators to…
Descriptors: Diagnostic Tests, Data Use, Emergent Literacy, Models
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Francisca M. Ubilla; Núria Gorgorió – Journal of Mathematics Teacher Education, 2025
The concept of statistical sense provides an understanding of the goals of statistics education and helps to clarify the design of activities that promote the development of statistical literacy, reasoning and thinking. The new approaches to statistics in schools mean special attention must be paid to teacher training. This training should enable…
Descriptors: Data Use, Teaching Methods, Statistics Education, Preservice Teachers
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Golnaz Arastoopour Irgens; Ibrahim Oluwajoba Adisa; Deepika Sistla; Tolulope Famaye; Cinamon Bailey; Atefeh Behboudi; Adenike Omalara Adefisayo – International Educational Data Mining Society, 2024
Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…
Descriptors: Learning Theories, Learning Analytics, Electronic Learning, Elementary School Students
Caroline J. Davis – ProQuest LLC, 2024
The problem in this study was that first- and second-grade teachers are not using relevant and timely data, specifically running records, analysis of oral reading errors, self-correction rates, and word accuracy, as well as the student zone of proximal development (ZPD) in guided reading instruction. The purpose of this qualitative case study was…
Descriptors: Grade 1, Grade 2, Elementary School Teachers, Decision Making
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Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
National Forum on Education Statistics, 2023
This forum guide was developed to meet the need for common, widely understood, standardized course codes. The purpose of this guide is to introduce the voluntary School Courses for the Exchange of Data (SCED) classification system, including information on the structure of SCED codes, the process for ensuring that SCED remains up to date and…
Descriptors: Courses, Classification, Coding, Data
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Holcomb, Timothy; Holshouser, Kaitlyn O. – Journal of Research in Education, 2023
Kindergarten Entry Assessments (KEAs) have grown in popularity over the past decade due to the Race to the Top -- Early Learning Challenge Grant offered by the U.S. Department of Education in 2015. This study addresses kindergarten teachers' perceptions of data from North Carolina's school readiness assessment and their perceptions of what…
Descriptors: Kindergarten, Student Evaluation, School Readiness, Preschool Teachers
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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
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Marissa J. Filderman; Alicia A. Stewart; Allie M. Cramer; Sarah S. Hughes-Berheim; Elizabeth Swanson – Remedial and Special Education, 2025
Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…
Descriptors: Reading Comprehension, Data Use, Decision Making, Intervention
Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
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Nicole Barnes; Helenrose Fives; Coby V. Meyers; Tonya R. Moon – Journal of Educational Administration, 2025
Purpose: School principals are increasingly responsible for acting as instructional leaders, but research on data teams typically considers principals as secondary players responsible for ensuring that meetings occur but not necessarily for their quality. We investigated how elementary school principals in one district committed to data use…
Descriptors: Elementary Schools, Rural Areas, School Districts, Principals
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Lam Ho Cheong – Educational Research for Policy and Practice, 2025
Education research for practice is in need of textbook studies, especially those having well-defined theoretical framework. This paper is an attempt to apply phenomenography in textbook research. It begins with a review of four existing types of textbook studies found in the literature. Next, the main features of phenomenography (qualitative…
Descriptors: Research Methodology, Phenomenology, Educational Research, Textbook Research
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Lewis A. Bonney; Chong Ho Yu – Journal of School Leadership, 2025
The study addressed leadership knowledge sharing among elementary school principals. School principals' comments regarding difficulty sharing what they have learned on the job about leadership gave impetus to investigating components of leadership that are not readily shared. Their comments implied both limited opportunities and limited language…
Descriptors: Principals, Elementary Schools, Knowledge Level, Leadership Styles
Winesburgh, Alexandria Harden – ProQuest LLC, 2023
This study aimed to discover the perspectives and experiences of elementary school teachers in rural southeast Tennessee regarding their collaborative efforts to effectively implement data-driven instruction for individual student success. The research problem is that the current collaboration efforts for teachers to implement data-driven…
Descriptors: Elementary School Teachers, Teacher Collaboration, Teacher Attitudes, Rural Areas
Takashi Kawakami; Akihiko Saeki – Mathematics Education Research Group of Australasia, 2024
This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…
Descriptors: Mathematical Models, Statistical Analysis, Data Use, Prediction
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