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Bird, Erin Bridges; Ballard, Heidi L.; Harte, Margaret – Instructional Science: An International Journal of the Learning Sciences, 2023
Youth-focused Community and Citizen Science (CCS) projects are contexts in which youth can contribute to the entire "data lifecycle"--from data-collection to decision-making with their scientific findings. But data alone does not contain the answers for what action to take and how. Using the educational context of an afterschool CCS bird…
Descriptors: Data Use, Decision Making, Elementary School Students, Educational Change
Changhee Lee; Eric M. Camburn; James Sebastian – School Effectiveness and School Improvement, 2025
This study examines what forms of data school leaders use, how they matter for students' learning, and which school contexts matter for such leadership practices to succeed. Utilizing hierarchical linear modeling, we analyzed survey responses from 1,381 school leaders and administrative data from 269 Florida schools. We find that although school…
Descriptors: Data Use, Decision Making, Principals, Administrator Attitudes
Keuning, Trynke; van Geel, Marieke; Visscher, Adrie; Fox, Jean-Paul – Journal of Educational Measurement, 2019
Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…
Descriptors: Data, Decision Making, Elementary School Students, Mathematics Instruction
Harris, Lateasha M. – ProQuest LLC, 2018
Monitoring academic progress to guide instructional practices is an important role of teachers in a small rural school district in the Southern United States. Teachers in this region were experiencing difficulties using the approved school district model to implement data-driven instruction. The purpose of this qualitative case study was to…
Descriptors: Teacher Attitudes, Data Analysis, Teaching Methods, Rural Schools
Filderman, Marissa J.; Toste, Jessica R. – Journal of Learning Disabilities, 2022
For students who show inadequate response to research-based intervention, intensification of intervention using data-based decision making (DBDM) is recommended. There is a paucity of research on upper elementary students related to the efficacy of (a) word reading interventions and (b) DBDM procedures. This randomized controlled trial examined…
Descriptors: At Risk Students, Reading Difficulties, Elementary School Students, Intervention
Sorrells, Michelle L. – ProQuest LLC, 2019
Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…
Descriptors: Single Sex Classes, Elementary Schools, Data Use, Decision Making
Regan, Kelley; Evmenova, Anya S.; Mergen, Reagan L.; Verbiest, Courtney; Hutchison, Amy; Murnan, Reagan; Field, Sara; Gafurov, Boris – Learning Disabilities Research & Practice, 2023
Rubrics can be used to give students targeted feedback on their writing and, therefore, teachers should be able to use them as a type of formative assessment to guide writing instruction. This article describes an exploratory study of how three teachers provided instruction for fourth, fifth, and seventh graders with learning disabilities and…
Descriptors: Grade 4, Grade 5, Grade 7, Elementary School Students
Foster, Elizabeth – Learning Professional, 2019
A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…
Descriptors: Teacher Attitudes, Academic Achievement, Teacher Student Relationship, Data Use
Yang, Dandan; Zargar, Elham; Adams, Ashley Marie; Day, Stephanie L.; Connor, Carol McDonald – Assessment for Effective Intervention, 2021
Stealth assessment has been successfully embedded in educational games to measure students' learning in an unobtrusive and supportive way. This study explored the possibility of applying stealth assessment in a digital reading platform and sought to identify potential in-system indicators of students' digital learning outcomes. Utilizing the user…
Descriptors: Electronic Publishing, Books, Computer Assisted Instruction, Reading Processes
Hourigan, Mairéad; Leavy, Aisling – Teaching Statistics: An International Journal for Teachers, 2016
As part of Japanese Lesson study research focusing on "comparing and describing likelihoods", fifth grade elementary students used real-world data in decision-making. Sporting statistics facilitated opportunities for informal inference, where data were used to make and justify predictions.
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Statistics
Faber, Janke M.; Glas, Cees A. W.; Visscher, Adrie J. – School Effectiveness and School Improvement, 2018
In this study, the relationship between differentiated instruction, as an element of data-based decision making, and student achievement was examined. Classroom observations (n = 144) were used to measure teachers' differentiated instruction practices and to predict the mathematical achievement of 2nd- and 5th-grade students (n = 953). The…
Descriptors: Individualized Instruction, Data, Decision Making, Academic Achievement
Park, Vicki; St. John, Elise; Datnow, Amanda; Choi, Bailey – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to examine how data are used in classroom placement routines. The authors explore educators' assumptions about the purposes of the classroom placement routine, detailing the ostensive (i.e. structure and template) and performative aspects of the routine itself, and the implications of data use for equity and…
Descriptors: Student Placement, Information Utilization, Classroom Environment, Evidence Based Practice
Stachowiak, Jeannie E. – ProQuest LLC, 2013
The purpose of this study was to determine if there was a difference in how high and low performing elementary school districts use and analyze data to differentiate instruction, make changes to district/grade level curriculum, determine professional development needs, determine teacher effectiveness, and determine the use of school district…
Descriptors: Academic Achievement, High Achievement, Low Achievement, Data
Pham, Cheryl Carangian – ProQuest LLC, 2011
The purpose of this mixed methods phenomenological study was to explore the data-driven instructional decisions that elementary teachers make in literacy. Educators have moved towards a culture of being data-driven, and have declared data use in schools to be significant to school improvement and accountability (Marsh, Pane, & Hamilton, 2006).…
Descriptors: Student Evaluation, Standardized Tests, Interviews, Program Effectiveness
Bigham, Gary D.; Riney, Mark R. – NASSP Bulletin, 2017
To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…
Descriptors: Longitudinal Studies, Educational Improvement, Decision Making, Curriculum Development

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