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Ongoing Teacher Support for Data-Based Individualization: A Meta-Analysis and Synthesis.

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Summary
This summary is machine-generated.

Ongoing professional development (PD) significantly improves data-based individualization (DBI) for teachers and boosts student academic achievement. Support focusing on instructional changes and collaboration shows greater effects, highlighting areas for future PD enhancement.

Keywords:
meta-analysisprofessional developmentresponse to intervention

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Area of Science:

  • Educational Psychology
  • Special Education
  • Teacher Professional Development

Background:

  • Data-based individualization (DBI) is effective for students with learning difficulties but challenging for teachers to implement.
  • Complexity and contextual barriers hinder widespread adoption of DBI frameworks.

Purpose of the Study:

  • To evaluate the impact of ongoing professional development (PD) on teachers' data-based individualization (DBI) knowledge, skills, beliefs, and fidelity.
  • To assess the effects of DBI PD on the academic achievement of students with learning difficulties (Preschool-Grade 12).
  • To identify characteristics of effective PD support and explore their association with outcomes.

Main Methods:

  • Systematic synthesis of 26 studies examining teacher and student outcomes related to DBI.
  • Meta-analyses were conducted to determine the overall effect sizes for teacher and student outcomes.
  • Exploratory analysis of PD characteristics and their potential association with observed effects.

Main Results:

  • Ongoing PD for DBI demonstrated a significant positive effect on teachers (g = 0.86) and students (g = 0.31).
  • No specific moderators of treatment effects were identified.
  • Descriptive analysis suggested larger effects for PD focusing on data-based instructional changes or collaborative problem-solving.

Conclusions:

  • Ongoing professional development is crucial for effective implementation of data-based individualization (DBI).
  • Future DBI PD should prioritize teacher instructional changes, detailed practice descriptions, and technological integration.
  • Enhanced support structures can improve teacher capacity and student outcomes in data-driven educational practices.