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Direct linkEmma 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
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
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
