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Longitudinal Effects of Data-Based Instructional Changes for Students with Intensive Learning Needs: A Piecewise Linear-Linear Mixed-Effects Modeling Approach
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Seohyeon Choi; Kristen L. McMaster; Nidhi Kohli; Emma Shanahan; Seyma Birinci; Jechun An; McKinzie Duesenberg-Marshall; Erica S. Lembke – Grantee Submission, 2024
For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…
Descriptors: Individualized Instruction, Writing Difficulties, Special Needs Students, Elementary School Students
Longitudinal Effects of Data-Based Instructional Changes for Students with Intensive Learning Needs: A Piecewise Linear-Linear Mixed-Effects Modeling Approach
Peer reviewed Peer reviewed
Direct linkDirect link
Seohyeon Choi; Kristen L. McMaster; Nidhi Kohli; Emma Shanahan; Seyma Birinci; Jechun An; McKinzie Duesenberg-Marshall; Erica S. Lembke – Journal of Educational Psychology, 2024
For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…
Descriptors: Individualized Instruction, Writing Difficulties, Special Needs Students, Elementary School Students
Ongoing Teacher Support for Data-Based Individualization: A Meta-Analysis and Synthesis
Peer reviewed Peer reviewed
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Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Grantee Submission, 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
Ongoing Teacher Support for Data-Based Individualization: A Meta-Analysis and Synthesis
Peer reviewed Peer reviewed
Direct linkDirect link
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