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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
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
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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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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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Amels, Judith; Krüger, Meta; Suhre, Cor; van Veen, Klaas – Journal of Educational Change, 2019
Educational improvement projects are increasingly focused upon the significant role of data in determining student performance, teachers' learning, and schools' ability to initiate local reforms. Thus, schools are moving toward a new approach to learning, progressing from the routine to the non-routine through inquiry-based working. In addition,…
Descriptors: Inquiry, Capacity Building, Educational Improvement, Elementary School Teachers
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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
Williams, Pamela Scott – ProQuest LLC, 2013
For over four decades, the concept of teacher leadership has been debated nationally and internationally with a view of establishing its role in student learning and achievements in schools. Over this period, a sizeable amount of literature has been written with regards to teacher and school administration leadership. However, studies remain…
Descriptors: Teacher Attitudes, Teacher Leadership, Elementary School Teachers, Public School Teachers