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Kristen L. McMaster; Erica S. Lembke; Emma Shanahan; Seohyeon Choi; Jechun An; Christopher Schatschneider; McKinzie D. Duesenberg-Marshall; Seyma Birinci; Elizabeth McCollom; Carol Garman; Kim Moore – Journal of Learning Disabilities, 2025
In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers' data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n…
Descriptors: Data Use, Individualized Instruction, Writing Instruction, Special Needs Students
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
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
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Journal of Learning Disabilities, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Peters, Martin T.; Förster, Natalie; Hebbecker, Karin; Forthmann, Boris; Souvignier, Elmar – Journal of Learning Disabilities, 2021
In most general education classrooms in Germany, students with and without special educational needs are taught together. To support teachers in adapting instruction to these heterogeneous classrooms, we have developed learning progress assessment (LPA) and reading instructional materials, the "Reading Sportsman" (RS), in line with the…
Descriptors: Data Use, Decision Making, Reading Fluency, Reading Comprehension
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
Bresina, Britta Cook; McMaster, Kristen L. – Journal of Learning Disabilities, 2020
Data from a small randomized control trial of teachers' use of Data-Based Instruction (DBI) for early writing were analyzed to determine the influence of teacher knowledge, skills, and treatment fidelity on student Curriculum-Based Measurement (CBM) slope. Participants included 11 elementary grade teachers who delivered intensive intervention in…
Descriptors: Knowledge Base for Teaching, Teaching Skills, Writing Instruction, Curriculum Based Assessment

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