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Ying, Samantha; Shakra, Rayanne – Issues in Educational Research, 2022
The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…
Descriptors: Data Use, Secondary School Teachers, Progress Monitoring, Evidence Based Practice
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Sarah R. Powell; Samantha E. Bos; Sarah G. King; Leanne Ketterlin-Geller; Erica S. Lembke – TEACHING Exceptional Children, 2024
Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, Mathematics Instruction
Saima Sanaullah – ProQuest LLC, 2024
Technology integration into classrooms is crucial for student success. It should be implemented beyond lesson planning and organizing information. Digital tools like Mastery Connect can effectively drive data-driven instruction to close learning gaps. The TPACK Model outlines the framework for successfully integrating technology into the…
Descriptors: High School Students, High School Teachers, Suburban Schools, Biology
Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Verlenden, Jorge; Naser, Shereen; Brown, Jeffrey – Journal of Applied School Psychology, 2021
Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…
Descriptors: Screening Tests, Behavior Problems, Emotional Problems, At Risk Persons
Wilkerson, Stephanie B.; Klute, Mary; Peery, Beth; Liu, Jing – Regional Educational Laboratory Central, 2021
Teachers have access to more data than ever before, including summative (state-level), interim (benchmark-level), and formative (classroom-level) data. Yet research on how often and why teachers use each type of data is scarce. The Nebraska Department of Education partnered with the Regional Educational Laboratory Central to conduct a study of…
Descriptors: Elementary School Teachers, Secondary School Teachers, Data Use, Teacher Attitudes
Wilkerson, S. B.; Klute, M.; Peery, B.; Liu, J. – Regional Educational Laboratory Central, 2021
Teachers have access to more data than ever before, including summative (state-level), interim (benchmarklevel), and formative (classroom-level) data. Yet research on how often and why teachers use each type of data is scarce. The Nebraska Department of Education partnered with the Regional Educational Laboratory Central to conduct a study of…
Descriptors: Elementary School Teachers, Secondary School Teachers, Data Use, Teacher Attitudes
Regional Educational Laboratory Central, 2021
Teachers have access to more data than ever before, but comparative research on how often and why teachers use different types of data is scarce. The Nebraska Department of Education identifies summative (state-level), interim (benchmark-level), and formative (classroom-level) assessment data as key measures of student learning. The department…
Descriptors: Elementary School Teachers, Secondary School Teachers, Data Use, Teacher Attitudes
Regional Educational Laboratory Central, 2021
These are the appendixes for the report, "How Nebraska Teachers Use and Perceive Summative, Interim, and Formative Data." This document presents additional information about the study topic: teachers' data use. It begins with a description of the conceptual framework and supporting literature for the scales in the Teacher Data Use Survey…
Descriptors: Elementary School Teachers, Secondary School Teachers, Data Use, Teacher Attitudes
Oslund, Eric L.; Elleman, Amy M.; Wallace, Kelli – Journal of Learning Disabilities, 2021
In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have…
Descriptors: Data Use, Decision Making, Data Interpretation, Professional Development
Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
Farley, Chelsea – Research Alliance for New York City Schools, 2019
In 2008, a diverse group of New York City leaders--including representatives from the NYC Department of Education, the teacher and administrator unions, the philanthropic and business communities, and New York University--came together to establish the Research Alliance for New York City Schools. Since that time, the Research Alliance has worked…
Descriptors: Urban Schools, Public Schools, Educational Research, Evidence
Foust, LaShanda Wardlow – ProQuest LLC, 2018
"For valid disability determination to occur, a diagnostic team needs to be able to determine that a student has received appropriate instruction in the general education classroom" (Johnson, Mellard, Fuchs, & McKnight, 2006, p. 4.2). The purpose of the study was to determine whether a middle school Response to Intervention (RTI)…
Descriptors: Response to Intervention, Fidelity, Program Implementation, Middle Schools
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